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A handful of happy customers ends up fielding every reference request, case study ask, and review campaign until they quietly stop replying. Buyers lean on those customers more than ever. The average B2B purchase now involves 13 internal stakeholders and nine external influencers, according to Forrester's State of Business Buying 2026, and many of those influencers are your customers.
Customer advocacy platforms are software that help B2B companies find satisfied customers, invite them to act as references, referrers, reviewers, or storytellers, and track how that participation affects pipeline and revenue. The best ones also protect advocates from being asked too often.
Here's how eight platforms compare on finding advocates, ask fatigue, reference matching, and proof, with a short buying process at the end.
A customer advocacy platform is the system a customer marketing team uses to run its advocacy program in one place. It replaces the spreadsheet of "happy customers," the Slack threads asking who can take a reference call, and the folder of half-approved quotes.
Customer advocacy tools handle some combination of these six jobs:
Advocacy marketing software also overlaps with neighboring categories, because vendors came to it from different places. Influitive started with gamified communities, UserEvidence with customer surveys, and ReferenceEdge with reference records inside Salesforce. Those roots still shape what each product does well.
Buyers trust other customers more than they trust you. In the 2026 B2B Buying Disconnect report from TrustRadius, 74% of buyers consulted customer reviews during their purchase and 53% spoke to a peer. Every buyer who talked to a peer found it at least somewhat helpful. Vendor marketing collateral ranked last among the resources buyers use.
The same report found 83% of buyers shortlist three or fewer products. What customers say about you in reviews, reference calls, and AI-generated answers now decides a lot of those shortlists.
That puts customer marketing teams in a bind. Demand for proof keeps climbing while the pool of willing advocates stays about the same size. A handful of happy customers ends up fielding every reference request, case study ask, and review campaign until they quietly stop replying.
The hard part of customer advocacy is knowing which customer to ask, for what, and when.
A good platform treats advocate time as a limited budget. It shows who was asked recently, who fits a specific deal, and which activities are tied to closed revenue.
Feature lists in this category look alike. The differences show up when you ask five practical questions.
Best for: B2B teams that want advocacy, references, referrals, and customer proof running from the same customer voice data.
Deeto knows what each customer has said, how they feel about you, and how often they've been asked. That context comes from how it works. Deeto is an AI-native voice of the customer platform that captures customer voice through AI-led interviews and feedback, then keeps it on one record for every account and person.
Most customer advocacy programs still run on a spreadsheet and gut feel. Someone remembers who was happy last quarter, and that customer gets another ask. Deeto turns what customers say into intelligence and routes it to the people who need it. When sales needs a reference or marketing needs a story, Deeto recommends a customer who fits the request and hasn't been asked recently.
Reference management, referral programs, and customer rewards all draw on that same record, so every ask is visible before the next one goes out. Automated workflows handle requests and follow-ups.
Deeto also creates the proof, including written stories, video testimonials, and ROI studies, so customer marketing doesn't need a separate content tool. Sellers get that proof inside their CRM and Slack through Deeto's integrations. Deeto doesn't record calls natively and connects with Gong for call recordings instead.
Best for: Enterprises running a staffed, hub-based advocacy community with gamification.
Influitive is one of the category's originals. Its AdvocateHub gives advocates a branded space to complete challenges, earn points and badges, share on social, submit referrals, and redeem rewards. Capterra lists integrations with Salesforce, HubSpot, and Marketo, plus a usage-based starting price of $1,499.
Jigsaw, part of private equity firm ESW Capital's portfolio, acquired Influitive in late 2023. Forrester told customers at the time to watch for changes to support, pricing, and product direction. Gamification works when someone on your team keeps the challenges fresh. For deal-by-deal reference matching, compare it against reference-first tools like ReferenceEdge.
Best for: Teams that need statistics and verified proof points from customer surveys.
UserEvidence made its name turning customer survey responses into stats, charts, and testimonials that sales can drop into a deck. Its 2025 acquisition of Zealot added advocate recruitment, activity tracking, and reference request management. Integrations include Salesforce, Gong, Seismic, and Highspot.
If your biggest gap is quantified proof, it's a strong pick. Programs built around live references and referrals should test how deep the newer advocacy features go.
Best for: Companies that want advocacy bundled into a broader post-sale customer platform.
Base sells itself as an AI-native platform for the whole post-sale relationship, covering references, advocacy, community, referrals, and reviews alongside onboarding, retention, and expansion. It bought EverAfter in January 2026 to add digital customer success.
That breadth pays off when one team owns everything after the sale. A dedicated advocacy team may end up paying for more platform than it uses, and most of Base's published performance numbers are self-reported.
Best for: Salesforce-centric enterprises with formal reference programs and long sales cycles.
ReferenceEdge runs entirely inside Salesforce. Reference requests, usage tracking, reward points, and influence reporting all live in the CRM, next to the opportunity. Capterra lists a starting price of $999 per user and integrations with Gainsight and Influitive.
Keeping reference data on the deal record is the main draw. Reviewers say the trade-off is admin work, and that deployment goes best with a dedicated team. Content creation and broader advocacy happen in other tools.
Best for: Large, regulated organizations with an established reference and customer content program.
Upland RO Innovation pairs reference request fulfillment with a library for case studies and other customer content. It has a long history in enterprise accounts, and Forrester names it among the reference management vendors B2B clients most often consider.
Mature programs with staff to manage matching and keep records current get the most from it. A one- or two-person team will probably find it heavier than necessary.
Best for: Customer marketing teams focused on customer-generated content and short video stories.
SlapFive focuses on content customers create themselves. PeerSpot lists campaign management, feedback collection, content creation, and an analytics dashboard as its core features. Teams use it to collect short recorded stories that can stand in for a live reference call early in a deal.
Pick it when content volume is the bottleneck. If you also need structured reference matching or referral tracking, confirm those workflows during evaluation.
Best for: Growth-stage B2B companies that want an AI-first way to find and activate advocates.
Champion is a younger AI-powered advocacy platform that helps marketing, sales, and success teams spot their most engaged customers and turn them into referrals, references, and expansion. Flyover Capital led its $3.3M seed round in 2024.
Teams starting a program with little historical data will like the AI-first setup. Because the company is at an earlier stage, ask about integration depth, security documentation, and what's committed on the roadmap.
Start with the job your program has to do over the next 12 months, then work backward to the tool.
If you are building a reference program from scratch, our guide on how to build a customer reference program walks through the setup before you choose software.
What is a customer advocacy platform?
A customer advocacy platform is software that helps B2B companies identify satisfied customers and organize their participation in references, referrals, reviews, case studies, and testimonials. It tracks every request and activity, rewards advocates for their time, and reports how advocacy affects pipeline and closed revenue. Most platforms integrate with the CRM so sales and marketing teams can find the right advocate without manual searching.
What is the difference between customer advocacy and reference management software?
Reference management software focuses on one activity, matching prospects with existing customers for reference calls and tracking how often each customer is used. Customer advocacy software covers a wider range of activities, including referrals, reviews, rewards, community engagement, and content creation. Many modern platforms do both, but tools built for references first often need other systems for content and referral programs.
How much do customer advocacy platforms cost?
Most customer advocacy platforms use custom, quote-based pricing tied to program size, number of users, and features. Public listings give a rough range. As of October 2026, Capterra lists Influitive starting at $1,499 and ReferenceEdge starting at $999 per user. Expect enterprise contracts to cost more once you add integrations, rewards budgets, and services.
What features should advocacy marketing software include?
Look for advocate identification based on customer signals like sentiment and usage, reference matching by industry and use case, request tracking that prevents over-asking, rewards management, and content capture for testimonials and video. CRM and Slack integrations matter because sellers rarely log into separate tools. Reporting should connect advocate activity to influenced opportunities and closed revenue rather than counting activities.
How do you measure the ROI of a customer advocacy program?
Measure advocacy ROI by tracking influenced pipeline and closed revenue for deals that used a reference, referral, or customer proof asset. Compare win rates and sales cycle length for those deals against deals without advocacy. Add referral-sourced pipeline and the value of reviews generated. Forrester recommends shifting from activity metrics, like reference counts, to impact metrics like influence on closed deals.
Can small B2B teams use customer advocacy tools?
Yes. Smaller B2B teams often benefit most because one or two people run the whole program. The right platform automates requests, follow-ups, and rewards so the team spends its time on relationships instead of spreadsheets. Look for fast setup, native CRM integration, and built-in content capture so you don't need separate tools for testimonials, references, and referrals.
Any platform on this list can store advocates and log a reference call. The difference is whether it helps you ask the right customer for the right thing at the right moment, and whether you can show what that ask was worth.
Start with your revenue goal, be honest about how thin your advocate pool is, and test each finalist on a live deal. If your best customers are already tired of hearing from you, that's the problem to solve first.
To see how Deeto connects customer voice to advocacy, references, and referrals for customer marketing teams, book a demo.
Compare 8 customer advocacy platforms for B2B. See what each one does, who it fits, and how to choose.
You’ve collected feedback from your customers, now what do you do with it?
Voice of the customer examples show how teams turn what customers say into something the business uses: a story sales can send, a roadmap decision, a renewal save. The best examples share one trait. Customer input reaches the person who needs it while the decision is still open.
Here are six examples from Deeto customers, Clarivate, Wrike, Ada, Surgimate, Five9, and DScoop, with what each team did and what you can copy.
A voice of the customer example is a specific case where a team captured customer input and used it to change an outcome. Survey results sitting in a dashboard don't count. A customer interview that becomes a case study, a reference call that closes a deal, or member feedback that changes what a team builds next does.
If you need the fundamentals first, start with our guide to what voice of the customer is. This article skips the definitions and goes straight to how VoC looks in practice.
Each example follows the same path. A customer says something specific, like "onboarding took half the time we budgeted" or "your support team knew our setup better than we did." One team picks it up and puts it to work, whether that's customer marketing turning the comment into a case study or sales asking that customer to take a reference call. Then something changes that the team can point to. In four of the examples below, that's a published number: stories produced, reference pool growth, or hours saved. In the other two, it's a specific change in how the team works.
Most teams get stuck at the handoff. The quote sits in a CSM's call notes or a survey export, and the PMM writing launch messaging or the rep prepping for a final call never sees it. According to AskNicely's 2025 State of Customer Experience Management report, only 15% of companies have a fully integrated, real-time system for analyzing feedback. That leaves 85% without a real-time view of what customers are telling them, so feedback often surfaces after the deal closed or the customer churned.
Clarivate needed a more effective way to expand its pool of customer references, and the systems it used to collect and approve customer content were fragmented.
The team used Deeto's reference management and prospect-reference engagement features to make inviting customers to share their experiences simple. Collection was automated and approvals were streamlined, so a customer's yes turned into a usable asset instead of an email thread.
Clarivate produced 50+ new customer stories and reference assets within weeks, saw a 75% increase in productivity, and reached time to value in two to four weeks.
What to copy: Treat every customer conversation as a story pipeline. The customer who tells you onboarding took half the expected time is your next case study candidate. Deeto's stories and social proof use case is built around exactly this handoff.
Wrike relied on spreadsheets that made it hard to respond to reference requests quickly. Its most-used advocates were also showing signs of fatigue from being asked too often.
Wrike replaced the spreadsheets with a centralized, self-service reference database in Deeto. Sales and marketing can now source, match, and schedule reference calls on their own. As Karilla Dyer at Wrike put it, references "can now control their contact frequency."
The result was 70+ concise customer stories activated as sales and marketing assets, 50+ new content pieces within months, and 50 to 75% growth in the reference pool across industries and regions. For a full breakdown, see our write-up of customer advocacy success stories.
What to copy: Voice of the customer is also about consent. Letting customers set their own participation level keeps the voice authentic, and it's why Wrike's pool grew instead of burning out.
Ada's advocacy work was stuck in spreadsheets, manual scheduling, and untracked reference calls. Customer voice existed, but there was no reliable way to capture it or reuse it.
Ada centralized all advocate data in Deeto and simplified how it invites customers to share their experiences. Within weeks, Ada had 11 to 20 new content pieces, more than $10,000 in measurable social proof value, and 50 to 75% growth in its reference pool. Ada's case study sums it up in one line: "In just a month I've been able to stand up an entirely new customer advocacy program."
What to copy: Track every reference call. An untracked call is customer voice you can't reuse, and it's the fastest way to over-ask your best advocates without knowing it.
As Surgimate grew, keeping customer references and testimonials centralized got harder. Requests, approvals, and assets were spread across fragmented workflows.
Surgimate used Deeto's AI-driven automation to gather, organize, and distribute customer experiences from one place. The team saves 11 to 20 hours per month and has built a stronger base of advocates to draw from.
What to copy: If your team is small, measure VoC in hours first. Automating the repetitive steps with lifecycle automation frees the time to actually use what customers tell you.
At Five9, the customer experience team led by Jennifer Edwards, VP of Customer Experience, uses Deeto to find advocates, match them with sellers working active deals, and recognize those customers for their time.
The change here is in how deals run, not a published number. A prospect in healthcare hears from a healthcare customer. A buyer worried about implementation hears from someone who has been through it.
What to copy: Match customer voice by context. Reference management works best when matching happens on industry, use case, and buyer concern.
DScoop is a member community, so its "customers" are members. The team uses Deeto to highlight member voices and to read the data behind them. Peter van Teeseling at DScoop put it this way: "The data insights give us a clear view of what matters to our community, so we can act faster and smarter."
What to copy: Use the same customer voice twice. The stories that market your program also tell you which topics, events, and benefits customers value most. Lean teams get more from VoC by collecting once and using it for both.
Look across these six cases and a few patterns stand out.
Customer feedback only creates value once it reaches a decision.
That matters more as buyers rely less on vendor claims. TrustRadius' 2026 B2B Buying Disconnect report found that 74% of tech buyers use reviews to inform purchase decisions. Buyers want to hear from people like them. Teams that operationalize customer voice can give them that at every stage, from the first website visit to the final reference call.
You don't need all six at once. Pick the one closest to your biggest current pain.
Once you've picked a starting point, our guide on how to build a voice of the customer program covers who should own it, a 90-day rollout plan, tooling and budget, and the governance that keeps it running. SaaS teams can also use our voice of the customer strategy for SaaS for a version built around recurring revenue.
Every team above hit the same wall before anything worked. Feedback lived in one place, stories in another, and references in a spreadsheet. Wrike and Ada were running on spreadsheets. Clarivate and Surgimate were working across fragmented systems. Nobody outside the team that collected the customer's words could find them, let alone use them.
Deeto is the layer that turns what customers say into intelligence and routes it to the people who need it. A comment from an AI-led customer interview becomes a tagged story, an updated reference profile, and a signal about what customers care about, all in one voice of the customer platform. Then it shows up where people already work, through integrations with the CRM, Slack, and enablement tools.
For the customer marketing or advocacy leader, that means one system for references, stories, and feedback instead of three tools and a queue of Slack requests. For the CMO above them, it means customer proof they can tie to pipeline. Deeto customers see 20 to 30% faster sales cycles and 10 to 15% higher win rates when sales teams have customer proof in the deal.
What are some examples of voice of the customer?
Common voice of the customer examples include turning customer interviews into case studies, matching customer references to active deals, letting advocates set their own contact frequency, and using member feedback to decide what to act on. Clarivate, for example, used Deeto to create 50+ customer stories and reference assets within weeks.
What is a voice of the customer example in B2B?
In B2B, it's a case where feedback from business customers changes a revenue, product, or retention decision. Five9 uses Deeto to match advocates with sellers on active deals. A prospect hears directly from a customer with a similar use case, which builds trust faster than vendor messaging.
How do customer marketing teams use voice of the customer?
Customer marketing teams use voice of the customer to build the proof the rest of the company relies on. That includes case studies, reviews, testimonials, and reference calls. Wrike's team, for example, turned customer voice into 70+ concise stories and grew its reference pool 50 to 75% after moving off spreadsheets.
How do sales teams use voice of the customer data?
Sales teams use voice of the customer data as proof during deals. That includes customer stories, reviews, and live reference calls matched to the prospect's industry and concern. The most effective teams make this proof self-service, so reps can find a relevant customer without waiting on marketing or advocacy teams.
What's the difference between voice of the customer examples and customer success stories?
A customer success story is one output of a voice of the customer program. Voice of the customer covers the full loop: capturing feedback, analyzing it, and acting on it across teams. A success story shows the result for one customer, while a VoC example shows how a team used customer input to change a decision.
The examples that work share one thing. The customer's words reach the person making the decision, while the decision is still open. Clarivate produced 50+ stories and reference assets in weeks. Wrike and Five9 put the right customer in front of the right buyer. Ada went from spreadsheets to a working advocacy program in a month, and Surgimate got 11 to 20 hours a month back.
What set them apart was the connection between feedback and action.
If your customer feedback is still scattered across surveys, spreadsheets, and CSM notes, see how Deeto works and how it puts authentic customer voice into every team's workflow.
See how six B2B teams turned voice of the customer into stories, references, and measurable results.
67% of B2B buyers would rather buy without talking to a sales rep, according to a 2026 Gartner survey. Instead, they research on review sites, in peer conversations, and in AI answers, and most of what they find there comes from your customers.
A customer journey marketing funnel is a framework that maps the five stages a buyer moves through, from first awareness to active advocacy, along with the marketing actions that move them forward. It keeps going after the purchase, through retention and advocacy, which is where you create the proof that wins your next customer.
Here's each stage, what to measure, and how customer voice ties them together.
A customer journey marketing funnel is a model of how prospects become customers and how customers become advocates. It splits the journey into five stages: awareness, consideration, decision, retention, and advocacy.
A traditional sales funnel ends when the contract is signed. The customer journey funnel treats the signature as the midpoint, because onboarding, adoption, renewal, and advocacy decide whether the customer stays, expands, and tells other buyers about you.
That gives marketing, sales, and customer success a shared answer to three questions. What does the customer need at each stage? Which signal shows they're ready to move on? Who owns each handoff?
If you've already built a journey map, think of the funnel as the operating layer on top of it. Our guide on how to create a customer journey map covers the mapping side in detail.
By the time a buyer reaches out, most of the evaluation is already done. 6sense's 2025 Buyer Experience Report found that B2B buyers are 61% of the way through a purchase before they first talk to a seller. In a May 2026 Gartner release, buyers reported using an average of seven information sources during a recent purchase.
AI is now one of those sources. The TrustRadius 2026 B2B Buying Disconnect report found that 63% of software buyers used AI to research their purchase, and 74% used reviews to inform their decision. Analyst reports informed only 13% of decisions.
Reviews, peer stories, and references are the sources buyers lean on most, and every one of them comes from your existing customers. So the back half of the funnel is producing the raw material for the front half. The sale is where your best marketing material starts being made.
That's why customer marketing teams belong in the conversation at every stage. They own the relationships that produce the proof buyers go looking for before they ever fill out a form.
Awareness is the stage where a buyer first realizes they have a problem worth solving. Often they don't know your category exists yet. They search, ask peers, and more and more often ask an AI tool to explain their options.
The job here is to get found and to describe the problem in a way that makes your approach the obvious next thought. Plain-language content that answers the questions buyers actually type helps. So does data pulled from your own customers, which carries more weight than anything your brand says about itself.
Review-site profiles matter more than they used to, because AI answers lean heavily on third-party content. Short customer quotes in social posts and paid ads round it out.
Watch organic traffic, branded search volume, share of voice, and how often AI Overviews and answer engines cite you.
In the consideration stage, the buyer knows what they need and starts building a shortlist. The same 6sense report found that 94% of buying groups rank their shortlist by preference before they engage a single seller. That preference forms here, usually before anyone on your team knows the account is looking.
Buyers want to see how you solved this problem for a company like theirs. Feature pages struggle to show that, since three competitors are saying the same thing on their own feature pages. What helps:
The numbers to watch are engaged accounts, return visits, content-assisted pipeline, and demo requests.
Decision is the stage where a buying committee checks every claim it has heard and looks for a reason to say no. Risk is the obstacle. They want proof the product will work for a company like theirs, run by a team like theirs.
Even buyers who prefer to research alone come back to people at this point. Gartner's May 2026 release found that 69% of B2B buyers turn to sales reps to validate AI-generated insights. A rep can repeat a claim. Only a peer at a similar company can confirm it, and that's the version buyers believe.
Decision-stage proof usually comes in four forms:
Many funnels stall right here. Reps spend days hunting for a reference that fits the deal, and the best advocates get asked so often they stop answering.
That delay costs more than a few days. A buying committee that waits a week for a peer call loses momentum, the close date slips, and a deal forecast for this quarter lands in the next one or goes to the vendor whose customer picked up the phone first. Meanwhile, the advocate who got four requests in a month quietly stops responding, and you've lost a reference you'll need for the next ten deals.
Deeto's reference management handles the matching and spreads the asks across more customers so nobody burns out.
Track win rate, sales cycle length, and how many reference requests you fill and how fast.
Retention covers onboarding, adoption, value realization, and renewal. It's where the customer decides whether you delivered what you sold, and a buyer who signed in the decision stage can still churn here if the value never shows up.
Research by Frederick Reichheld of Bain & Company, cited in Harvard Business Review, found that increasing customer retention rates by 5% increases profits by 25% to 95%. Retention also shows you whether your marketing promises match what customers deal with day to day.
Onboarding content that gets customers to first value quickly does a lot of the work. Peer best practices from customers who've already succeeded help newer accounts skip common mistakes. Regular feedback catches problems while there's still time before the renewal conversation, and customer adoption programs work best when they're tied to the outcomes customers bought for.
That same feedback powers early warning. When sentiment drops, churn prediction in Deeto flags the account so customer success has time to act before the renewal date.
Measure adoption rate, time to value, gross and net revenue retention, and CSAT or NPS.
Advocacy is the stage where happy customers share their results in public. They write reviews, join case studies, take reference calls, refer peers, and speak at events. This stage is also what turns the funnel into a loop.
Advocacy rarely happens on its own, though. Satisfied customers are busy, and most will only say yes if the ask is specific, easy, and timed to a moment when they've just seen results. A few habits make the difference:
A structured approach to customer advocacy turns one-off favors into a steady supply of proof for every stage before it.
Good advocacy metrics include advocates enrolled, stories and reviews published, referral pipeline, and influenced revenue.
The chart puts the five stages side by side, with what the buyer is asking, the marketing goal, the proof that works, the metrics, and who owns each stage.
Look down the proof column and you'll notice that most of what works in the first three stages comes from customers who reached the fifth.
A useful funnel is built from how your customers actually bought, so start there instead of with the campaign calendar. These five steps work for a new funnel or an audit of the one you have.
Your team likely already has the proof they need. It's spread across call notes, survey tools, old slide decks, and the heads of a few account managers. You feel the gap in the decision stage, when a rep needs a matching story by Thursday and nobody knows where one lives.
Finding the story faster only solves part of the problem. The bigger opportunity is knowing what your customers are telling you and getting it to the person who can act on it.
Deeto is a voice of the customer platform that turns authentic customer voice into intelligence and routes it across the funnel. It captures feedback and stories at every stage, then analyzes them for patterns, sentiment, and signals. A dip in sentiment during onboarding reaches customer success and product as a retention risk, while it can still be fixed. When a customer posts a strong result at renewal, that becomes an advocacy ask, and the story that comes out of it is matched to the campaigns, web pages, and open deals where it will do the most work.
That routing is what closes the loop described above. Retention feeds advocacy, advocacy feeds the earlier stages, and each customer who comes through the funnel makes the next deal easier to win.
The decision stage is where the impact shows up first. Across Deeto customers, teams see 20–30% faster sales cycles and 10–15% higher win rates once matched customer proof is available inside active deals. Taylor, a work management and collaboration software company, is one of them. Before Deeto, Taylor's sales team struggled to find the right customer reference for a prospect, and its customer stories were scattered across the company. Building trust with each buyer took a lot of manual work, and the sales cycle ran longer than the team wanted.
Taylor made Deeto the foundation of its customer advocacy program. Customers now share their experiences through the platform, and those stories are captured, organized, and routed to the sales team automatically. Business development managers can pull a relevant reference or testimonial in the middle of a conversation instead of going looking for one. "I love how it shortens our sales cycle and increases our win rate," says Adam McKenzie, Business Development Manager at Taylor. Read Taylor's full story.
Most teams can name the five stages of a customer journey marketing funnel. The hard part is the handoffs between them, especially the one from advocacy back to awareness.
Teams that get this right treat customer voice as the thread through every stage. They listen during retention, ask at the right moment in advocacy, and put that proof in front of buyers long before a sales call. A funnel run that way gets stronger with every customer who comes out the bottom.
If you want to see how that works in practice, book a demo with Deeto.
What are the 5 stages of a customer journey marketing funnel?
The five stages are awareness, consideration, decision, retention, and advocacy. In awareness, a buyer recognizes a problem. During consideration, they compare solutions. At the decision stage, they validate claims and choose a vendor. Retention covers onboarding, adoption, and renewal, and advocacy is when satisfied customers share their results through reviews, case studies, references, and referrals.
What is the difference between a sales funnel and a customer journey funnel?
A sales funnel tracks prospects until they buy, then ends. A customer journey funnel continues after the purchase through retention and advocacy. This matters because the customers who stay and succeed produce the reviews, stories, and references that persuade new buyers. A customer journey funnel connects marketing, sales, and customer success around one shared view of the customer.
Why is advocacy part of the customer journey funnel?
Advocacy is part of the funnel because it creates the proof buyers trust most. Reviews, peer stories, and reference calls all come from existing customers. When advocates share their results, that content feeds the awareness, consideration, and decision stages for new buyers. Without an advocacy stage, teams rely on brand claims that buyers increasingly discount.
What metrics should you track at each funnel stage?
Track organic traffic and AI citations in awareness, and engaged accounts and demo requests in consideration. Decision-stage teams should watch win rate, sales cycle length, and reference fulfillment. For retention, measure adoption, time to value, and revenue retention. In advocacy, track advocates enrolled, stories published, referral pipeline, and influenced revenue.
How does customer feedback improve the customer journey funnel?
Customer feedback shows where buyers get stuck and why customers stay or leave. Input from recent buyers sharpens awareness and consideration content. During onboarding and adoption, it flags churn risk before renewal. After a measurable win, it points to customers who are ready to become advocates. Collected continuously, feedback keeps every stage of the funnel aligned with what customers actually experience.
What is a customer journey marketing funnel? Learn the five stages, the metrics for each, and how proof connects them.
A rep needs a CFO reference at a fintech by Thursday, and the customer who fits best asked for a break last month.
The best customer reference management software in 2026 includes Deeto, Point of Reference (ReferenceEdge), Upland RO Innovation, UserEvidence, SlapFive, Base, Orca, and Influitive. These tools track which customers will speak for you, when, and how often, then match the right one to an open deal.
This guide includes a side-by-side comparison chart, what each tool does best, and how to choose.
Customer reference management software is a platform that stores your reference-ready customers, routes requests from sales, protects those customers from overuse, and reports on which references influenced revenue. For customer marketing teams, it replaces the spreadsheet, the Slack thread, and the one person who remembers which customer said yes last quarter.
Customer reference tools include the following core pieces:
One warning before you shop. Software directories lump very different products into this category. Capterra's customer reference management category mixes true reference platforms with loyalty programs, referral tools, and a general CRM. A referral tool rewards customers for sending you leads. A reference platform puts a real customer on the phone with a prospect who is about to sign. Those are different jobs.
Buyers want to do more of the work on their own. Gartner reports that 75% of B2B buyers prefer a rep-free sales experience. G2's 2025 research found that nearly two-thirds of software buyers prefer to engage sales only in the later stages of a purchase.
That shift puts more weight on the few moments when a buyer does talk to you. By the time a prospect asks to speak with a customer, they're close to a decision. A slow or mismatched reference at that point can stall a deal that marketing spent months creating.
The cost of getting this wrong is measurable. UserEvidence research found that 53% of B2B sellers have lost or delayed deals because they couldn't provide relevant customer evidence when it counted. At Deeto, we rarely see companies short on happy customers. The shortage is current information about who is willing to talk, about what, and how recently they were asked.
A reference is only as good as the last time you asked the customer how they feel. That's the gap a spreadsheet can't close, and it's the first thing to test in any demo.
Customer reference management software for sales reps has one job: get the right customer in front of a buyer before momentum fades. Program dashboards matter to customer marketing. Reps care about speed and fit.
When you evaluate tools from the rep's side, look for these five things:
If reps still have to email customer marketing to find out who's available, the tool has missed the point. Deeto's sales and sales enablement solution was built around that handoff, with references pre-matched to deal stage and delivered through CRM workflows.
We looked at each vendor's own product pages, recent company announcements, and public directory listings.
We compared tools on five criteria:
None of these vendors publish full pricing on their websites, except where noted. Treat any number as a starting point for a quote.
Deeto is a voice of the customer platform that treats references as one outcome of knowing your customers well. The same customer voice also feeds product teams, executive dashboards, and the rest of go-to-market, which makes Deeto the intelligence layer that references come out of, rather than one more point tool. Deeto captures willingness, comfort level, and boundaries directly from customers through AI-led interviews, then uses those signals to match references to buyers. You can see how it works on the reference management use case page.
Reps get references pre-matched to deal stage, plus buyer-ready proof like video testimonials and personalized microsites they can share without waiting on marketing. Deeto integrates with Salesforce, HubSpot, Microsoft Dynamics, Slack, Teams, Outreach, Salesloft, Highspot, Seismic, and Gainsight, and connects with Gong for call recordings.
Deeto customers report 20 to 30% faster sales cycles and 10 to 15% higher win rates. Among published customer results, Wrike reports 50 to 75% growth in its reference pool and 6sense reports 25%+ more reference call coverage.
Best for: Customer marketing and advocacy teams that want references, stories, and customer feedback in one system, with sales able to self-serve.
Point of Reference is one of the longest-running vendors in this space, with more than 20 years in customer advocacy. Its product, ReferenceEdge, runs 100% natively inside Salesforce and covers reference matching, request fulfillment, overuse tracking, and program impact reporting. Its newer ReferenceEdgeAI layer is AI-model agnostic, and the company now offers a version that works without the Salesforce interface.
The Salesforce-native design is its biggest strength and its biggest constraint. Teams that live in Salesforce get deep data alignment. Teams on another CRM should confirm how the non-Salesforce option fits their stack.
Best for: Enterprise teams running mature reference programs on Salesforce.
Upland RO Innovation focuses on helping sales find and use references quickly. Reps can search references on demand, filter customer quotes and facts with its Spotlights feature, pull approved logos for calls, and build prospect-specific collateral. It connects with Salesforce and Microsoft Dynamics, and its AI features suggest references by journey, persona, and use case and summarize won deals.
RO Innovation is part of Upland Software's larger portfolio. That can be a plus for companies already using other Upland products, and worth asking about in terms of product focus if you're not.
Best for: Sales-led organizations that want a large, searchable library of reference content alongside live references.
UserEvidence started as a customer evidence platform built on surveys and verified stories. In August 2025, it acquired Zealot, an advocacy and reference management platform, and folded those capabilities in.
Its references product lets reps request references from Salesforce or Slack, matches customers using usage, sentiment, and past participation, and lowers a customer's match priority with burnout scores after recent activity. Because the reference features came through an acquisition, ask how deeply the two products are integrated today.
Best for: Teams that want survey-based customer evidence and reference requests in one place.
SlapFive positions itself as a customer advocacy and proof system of record. It automates requesting, approving, and scheduling references, tracks advocate preferences and limits, and measures revenue influence. Its agentic AI looks for likely advocates in signals like community activity and call recordings, and it generates stories and testimonials from customer input.
SlapFive also leans into answer engine optimization for customer stories and makes advocate data available to other tools through MCP.
Best for: Customer marketing teams that want AI to find new advocates and produce proof content.
Base, formerly crowdvocate, describes itself as an AI customer growth platform. Reference management is one module among many, alongside onboarding, retention, expansion, and community. The company has grown through acquisitions, adding Laudable in February 2025 for turning customer calls into social proof and EverAfter AI in January 2026 for post-sale engagement.
That breadth suits teams looking for one platform across the post-sale lifecycle. Teams that mainly need references should check how deep the reference workflows go compared with specialists.
Best for: Companies consolidating customer success, marketing, and advocacy tools into one platform.
Orca is a native Salesforce app for managing customer advocates and reference requests. It covers request assignment, workflow management, reference usage tracking, and ROI reporting, and it connects with Slack and Google Maps for location-based selling. It's one of the few tools with a listed price, starting at $5,000 per user per year on its Capterra listing, with a free trial.
Best for: Salesforce teams that want a focused, lightweight reference app.
Influitive built its name on gamified advocate communities, where customers complete challenges, leave reviews, and earn rewards. It also supports references and referrals. In December 2023, Influitive was acquired by Jigsaw, part of private equity firm ESW Capital.
Influitive’s public product updates have been limited since the acquisition, so ask for a current roadmap and a clear view of what’s included in pricing before you sign a multi-year contract.
Best for: Programs built around community engagement and gamified advocacy, where references are a secondary need.
Reference marketing platforms and customer reference tools overlap, but they start from different places.
Customer reference tools start from the sales request. Their main job is matching, scheduling, and protecting customers who take live calls. Reference marketing platforms start from the content. They turn customer advocacy and customer voice into stories, quotes, case studies, and videos that marketing and sales reuse across campaigns.
Growing programs need both. A buyer early in research wants a short video from someone like them. A buyer in final evaluation wants a 20-minute call with a peer. If those two needs live in separate systems, your customers get asked twice and your team loses track of who said what. Deeto keeps live references and customer stories and social proof in the same place, so each customer interaction feeds both.
Start with your program's biggest bottleneck, then test vendors against it. These questions work well in demos:
If you're still designing the program itself, our guide on how to build a customer reference program covers recruiting advocates, structuring tiers, and measuring results.
What is customer reference management software?
Reference management software is a platform that helps B2B companies organize customers willing to speak with prospects, match them to open deals, and track how often each customer is asked. It typically includes a searchable reference pool, CRM-based request workflows, fatigue controls, and reporting that connects reference activity to won revenue. It replaces spreadsheets and manual coordination between sales and customer marketing.
What is the best customer reference management software?
The right choice depends on your CRM and program goals. Point of Reference (ReferenceEdge) and Orca fit teams that want Salesforce-native tools. Upland RO Innovation suits sales teams that want large reference content libraries. Deeto fits teams that want references, customer stories, and feedback in one voice of the customer platform with self-serve access for reps.
How much does reference management software cost?
Most vendors don't publish pricing and quote based on users, program size, and contract length. Orca is an exception, listing a starting price of $5,000 per user per year on Capterra. Expect enterprise reference platforms to require an annual contract. Ask vendors whether pricing is per sales user, per admin, or per customer advocate, since that changes cost a lot as you grow.
What's the difference between customer references and referrals?
A customer reference is a customer who speaks with a prospect to help them evaluate your product, usually late in a sales cycle. A referral is a customer who introduces you to a new potential buyer, often for a reward. Reference tools focus on matching and protecting advocates. Referral tools focus on tracking leads and payouts. Some platforms support both.
How do you prevent customer reference fatigue?
Prevent reference fatigue by tracking every request per customer, setting limits on how often each one can be asked, and rotating new advocates into the pool. Good customer reference tools do this automatically, lowering a customer's priority after recent calls. It also helps to offer lighter options, like a recorded video or written quote, so customers aren't always asked for live calls.
How does customer reference management software help sales reps?
Reference software helps sales reps find the right reference quickly without chasing marketing. Reps can search by industry, use case, or persona from inside their CRM, see who is available, and request a call in a few clicks. Many tools also give reps ready-to-share proof, like quotes and short videos, for buyers who aren't ready for a live conversation.
Every tool on this list can store a reference pool and route a request. The difference shows up in the moment a rep needs a specific customer for a specific deal, and whether the system knows who is willing, relevant, and rested enough to say yes.
Salesforce-native specialists work well for mature enterprise programs. Broader platforms make more sense when you want references, stories, and customer feedback to feed each other.
Deeto was built for that second path. When customers tell you directly what they're comfortable sharing, reps get the right proof faster, deals keep their momentum, and your best advocates stay happy to help. See how Deeto handles customer references.
Compare 8 customer reference tools for 2026. See features, pricing, and what sales reps need to find references fast.
Two in three research professionals (69%) now use AI in at least some of their projects, according to Maze’s Future of User Research 2026 report.
AI customer interviews are conversations with real customers that an AI moderator runs on its own. The AI asks the questions, probes with follow-ups, and summarizes what it heard. One team can run hundreds of these in parallel and get themes back in hours instead of weeks.
This guide compares six AI customer interview tools, explains how they work, and covers the question most buyers skip: what happens to the answers once the study is over.
AI customer interviews are one-on-one research conversations where software, instead of a human moderator, guides the discussion. The participant answers by voice, video, or text. The AI listens, asks a relevant follow-up, and moves through a discussion guide the way a trained researcher would.
AI-moderated interviews sit between surveys and live interviews. Surveys scale but stay shallow, while live interviews go deep but cap out at a handful per week. AI moderation keeps the follow-up questions and removes the scheduling limit.
AI customer interview tools typically cover the whole study. They draft an interview guide from your research goal, recruit participants from a panel or your own customer list, run the conversation and probe for the "why," then tag themes, pull quotes, and build highlight reels or reports from what came back.
Traditional qualitative research is slow and expensive. Frank, one of the tools below, puts the cost of a traditional interview at $500 to $1,000 each on its own website. At that price, most teams interview a few dozen customers a year and guess about the rest.
Maze's Future of User Research 2026 report found that 69% of research professionals now use AI in at least some of their projects, and 63% say it has made research turnaround faster. Transcription, synthesis, and drafting research questions are among the most common uses.
That speed changes who gets to hear from customers. A product marketer testing a new message no longer has to wait for the research team's next open slot. A customer marketing leader can ask 200 customers why they renewed, in a week.
Here's the catch. Faster interviews produce more answers, and more answers create a new bottleneck. If those answers sit in a research repository that sales, marketing, and CS never open, the company learned something and nobody acted on it.
We started with the tools buyers are likely to come across when they research this category. Outset, Listen Labs, Strella, Frank, and Conveo are among the names that show up in search results and AI-generated recommendations for AI customer interview tools.
Each tool also had to meet three requirements to make the list:
We also included Deeto, our own platform. We've kept it to the same standard, and the post is clear about where a research platform is the better choice.
We evaluated every tool against the same five criteria:
All details come from each vendor's own website, reviewed in October 2026. We didn't run paid trials of every tool, so treat this as a starting shortlist and test your top two or three before you buy. Where a vendor doesn't publish a detail, the table says so instead of guessing.
The table above reflects what each vendor publishes on its own website as of October 2026. Frank is the only tool here that publishes its pricing. The others quote pricing through a demo, so confirm current plans directly with each vendor.
Deeto is a voice of the customer platform, and AI customer interviews are how customer voice comes into it. Deeto is the layer that turns authentic customer voice into intelligence and routes it to where work already happens, from the CRM to active deals to the next campaign. It's built for B2B companies, and especially for customer marketing teams that need a steady supply of customer proof.
Deeto's AI interview agent reaches out at specific lifecycle moments, like onboarding, feature adoption, renewal, and support resolution. Each conversation adapts to the customer, and every answer is tied to the person, the account, and where they are in the lifecycle. Answers become themes and sentiment dashboards, then flow into customer stories, references, referrals, and Salesforce.
It's the strongest fit for customer marketing leaders and the marketing executives they report to, along with the product marketing and CS teams who work alongside them. It isn't built for recruiting people outside your customer base. More on how Deeto works below.
Outset is an AI-moderated research platform built for enterprise insights and UX research teams. It runs video, voice, and text interviews, and its AI can probe based on audio and visual cues during the conversation.
Outset recruits from a pool it describes as 1.1 billion+ possible participants across 85+ countries, or you can send interview links to your own lists. It also offers digital twins, simulated versions of target audiences built from real interview data, for teams that want to test ideas before fielding a live study. Analysis includes themes, quotes, highlight reels, and auto-generated slide decks.
If you run global studies and want simulated and real participants in one place, Outset is the strongest fit here. HubSpot, Microsoft, and Away are among its published case studies.
Listen Labs runs the whole study for you: it drafts the guide, recruits participants, moderates the interviews, and builds the deliverables. Interviews run 24/7, so studies can field around the clock.
Its participant network covers 50 million+ people, and it lists niche, professional, and expert audiences as a core use case. Outputs range from highlight reels to presentation-ready slides, and Listen Labs says every claim in its analysis traces back to a real interview. A shared workspace lets teams search past studies.
Listen Labs makes the most sense when you want one vendor to own the study from guide to final readout. Brand and consumer insights teams are its core buyers, along with product teams.
Strella is built for speed. Its pitch is 100 customer interviews completed overnight. The AI writes discussion guides (Strella describes them as unbiased), moderates with real-time follow-ups, and lets researchers step in and moderate live when they want to.
Strella recruits from a panel of up to 8 million participants, filtered by criteria like location and experience, or from your own customers. Analysis works at the participant, segment, and study level, and there's a chat interface for asking questions of the data.
Product and UX teams that run concept tests and usability studies every week or two will feel the speed most. Duolingo and DraftKings are among its customers.
Frank, built by Prelaunch, is designed for high-volume interviews at a lower price point. It runs AI voice interviews, WhatsApp voice and video interviews, and text-based AI interviews.
Frank is the most self-serve option here and the only one with published pricing. It offers a free plan, paid plans start under $60 a month, and it supports embedding interview links inside a product, such as a cancellation flow or a tooltip. That makes it practical for churn interviews and post-release feedback. Analysis includes summaries, thematic analysis, and short video recaps.
It suits product managers, growth teams, and founders who want to run interviews continuously without an enterprise contract.
Conveo is an AI-led qualitative platform for enterprise insights, marketing, and CX teams in industries from CPG to pharma and tech. Its AI moderator runs voice and video interviews with real people and supports live screen sharing for UX research.
Conveo goes further than most on concept and creative testing. It offers second-by-second facial coding for ad and message tests, plus AI-moderated MaxDiff. It also runs always-on programs like brand trackers and stores results in a searchable knowledge base. The company cites 400+ enterprise teams as customers, including AB InBev and Canva.
Conveo earns its place on teams that test concepts, packaging, and creative on a regular cadence.
The other five platforms above are built around the research study. You define a question, field it to a sample, and get a report. That model works well for market research, concept testing, and reaching people who aren't your customers yet.
B2B teams have a second need. They want to hear from the customers they already have, at the moments that matter: after onboarding, after a big feature launch, before renewal, after a closed deal. And they want each answer to do more than inform a deck.
A customer who says your product cut their reporting time in half is a research insight. That same answer is also a case study, a sales reference, a quote for the website, and a reason to ask for a G2 review. Research platforms handle the first use well. The others depend on someone copying the quote into another tool, and in most companies that someone is busy.
Deeto starts where the research study usually ends. The interview is the input. What Deeto adds is the system that turns that voice into intelligence and puts it in front of the people who act on it. Once an AI interview is done, Deeto handles the steps research platforms leave to you:
Deeto doesn't recruit from a consumer panel, and it isn't built to field studies with people outside your customer base. Testing packaging with 1,000 shoppers in Brazil? Use one of the research platforms above. Trying to find out why your best accounts renew, and want their words in front of a prospect next week? That's what Deeto is for.
For a customer marketing team, that means a steady flow of stories, references, and advocates without chasing customers one email at a time. For the CMO or VP of Marketing above them, it means campaigns and positioning built on what current customers actually say, with proof that sales can use. Product marketing gets the same benefit: one interview can shape the messaging and hand over the quote for the landing page.
Start with who you need to hear from, then work backward. Five questions narrow the field quickly.
First, who are the participants? If you need people who aren't customers yet, choose a tool with a strong panel, like Outset, Listen Labs, or Strella. If you're interviewing existing B2B customers, choose a tool that connects to your CRM and customer data, like Deeto.
Second, how often will you run interviews? One-off studies suit study-based platforms. If you want to listen continuously across the customer lifecycle, look for a platform that triggers interviews automatically.
Third, what formats do you need? Video matters for concept and creative testing. Busy B2B buyers often complete voice and text interviews at higher rates.
Fourth, who uses the output? If only the research team reads the results, a strong repository is enough. If sales, marketing, and CS need the answers, look for a tool that pushes them into the systems those teams work in.
Fifth, what are your compliance requirements? Check for SOC 2, GDPR, and HIPAA where relevant. Outset, Frank, and Conveo publish their compliance status on their sites, and Deeto's is on its security page.
If you want one interview to inform research and give sales something to use, weigh the fourth question most heavily. Teams building a broader voice of the customer strategy usually end up needing both kinds of tools.
AI-moderated interviews have limits, and you should know them going in. The same User Interviews report found that 41% of researchers view AI negatively, and 91% are concerned about hallucinations in AI output.
Those concerns are fair. An AI summary is only as trustworthy as its link back to the source. Before choosing a tool, check whether every theme and quote traces to a specific interview you can watch or read. Listen Labs and Outset both emphasize traceability, and it's worth testing in any trial.
AI moderators also struggle with sensitive topics and with participants who need a human to build trust first. Strategic accounts and executive sponsors may still deserve a live conversation. Use AI interviews to hear from far more customers than you could before, and keep humans on the conversations that carry the most weight.
What are AI customer interviews?
AI customer interviews are research conversations with real people that an AI moderator conducts instead of a human. The AI asks questions from a discussion guide, follows up based on each answer, and summarizes the results. You get much of the depth of a live interview at the scale of a survey, so teams can hear from hundreds of customers in days.
Are AI-moderated interviews as good as human interviews?
For many structured research goals, yes. AI-moderated interviews hold up well for concept testing, feature feedback, and understanding why customers churn or renew. They fall short on sensitive topics and with high-stakes participants who need rapport first. Most teams use AI moderation to expand coverage and keep human moderators for strategic conversations.
How much do AI customer interview tools cost?
Most AI customer interview tools use quote-based pricing tied to interview volume, recruiting needs, and features. Frank offers a free tier with starter credits. Outset, Listen Labs, Strella, Conveo, and Deeto price through a demo or sales conversation. Recruiting from a vendor's panel typically costs more than interviewing your own customers.
Which AI customer interview tool is best for B2B companies?
It depends on who you want to interview. For reaching B2B buyers who aren't customers yet, Listen Labs lists niche and professional audiences as a core use case, and Strella lets you filter its panel by criteria like location and experience. For interviewing your existing customers across the lifecycle and turning their answers into proof and references, Deeto is built for that workflow and connects to CRM data.
Can AI interviews replace surveys?
AI-moderated interviews can replace many open-ended surveys because they ask follow-up questions a survey can't. Short scored surveys like NPS and CSAT still work well for tracking trends at a glance. A common setup uses scored surveys to spot changes and AI interviews to explain why those changes happened.
AI customer interviews let you hear from hundreds of customers in the time it used to take to schedule ten. Outset, Listen Labs, Strella, Frank, and Conveo each do this well for research studies, with different strengths in recruiting, speed, self-serve access, and creative testing.
For B2B marketing teams, the bigger opportunity is the customers you already have. For a customer marketing leader, every interview with a current customer is a potential story, reference, or advocate. For the CMO, it's evidence that shapes messaging this quarter and still closes deals next year, as long as the answer reaches the people who write the messaging and run the deals.
Deeto is built for that. It interviews your customers at the right moments in the lifecycle, turns what they say into intelligence, and routes it to marketing, sales, and CS, with their consent. See how Deeto works with your customers.
What are AI customer interviews? Compare 6 tools, see what each does best, and learn how to choose one.
Gartner found that 75% of B2B buyers prefer a rep-free sales experience. So when a buyer skips the rep, the customer proof they find on their own does more of the selling.
Customer testimonial software is a platform that helps companies request, record, approve, and publish customer feedback as written quotes, video clips, and stories. The better tools also organize that proof so the right story reaches the right buyer, no matter who on your team is sending it.
Below, we compare six platforms on formats, pricing, and fit for a B2B customer marketing team. Yes, Deeto is one of them. We explain how we handled that below.
Customer testimonial software is a system for collecting and using customer proof at volume. It replaces the old routine: email a happy customer, schedule a call, transcribe it, chase legal for approval, paste the quote into a slide, and repeat.
Customer testimonial platforms typically include four parts:
B2B platforms add a fifth part. They connect testimonials to references, advocacy programs, and the CRM, so a rep working a healthcare deal can pull a healthcare story without filing a request and waiting a week.
A testimonial wall on your homepage is nice. It does nothing for the rep who needs a mid-market fintech customer to talk about switching from a competitor by Thursday.
Buyers are also talking to reps less, and later. In G2’s 2025 buyer research, nearly two in three buyers said they prefer to engage vendor salespeople only in the later stages, and 29% now start software research on tools like ChatGPT more often than on Google. By the time your team gets a meeting, the shortlist is often set.
That changes the job. Collecting a quote is easy, but programs stall on everything after that, keeping proof current, matching it to the buyer in front of you, and getting it where buyers actually look.
A testimonial nobody can find is a testimonial you didn’t collect.
Deeto is on this list, so for every other entry we stuck to what each vendor publishes about its own product and pricing. Prices come from public pricing pages as of October 2026 and can change.
We compared the platforms on:
Many of the tools on this list are built to collect a quote and put it on a page. Deeto works one layer down. It's a voice of the customer platform that turns authentic customer voice into intelligence, then routes it to the teams and tools that need it. Testimonials are one of the things that come out of that system.
It starts with AI-led interviews that follow up on what the customer actually says, instead of a static form. Every interview then runs through Deeto's five modules, Listen, Learn, Activate, Analyze, and Orchestrate. In practice, one conversation gets captured, saved to the customer record, delivered to the people who need it, mined for themes and sentiment, and kept moving through automated workflows.
That's why one interview turns into more than a quote. It can become a written story, a video testimonial, a reference profile, and a clear read on why that customer chose you. Customer stories and social proof are tagged by persona, industry, and use case, so a rep can find the right one without filing a request. The same record powers reference management, showing who's willing to take a call, how often they've been asked, and where coverage is thin. And proof shows up where teams already work, through Salesforce and other CRM integrations.
Deeto customers share results on its customer marketing solutions page. Knak saw a 75% lift in advocate conversion in 30 days. PandaDoc produced 10x more content with fully automated collection.
Deeto doesn’t have to replace your website widget. Plenty of teams keep a lightweight display tool for their homepage and use Deeto for the work that happens behind it, like running interviews, matching references to deals, and getting proof to reps.
Best for: B2B customer marketing and product marketing teams that want testimonials, references, and customer advocacy in one system.
Pricing: Custom. Book a demo for a quote.
UserEvidence is a B2B customer evidence platform for product marketing and customer marketing teams at software companies. It covers evidence collection, advocacy, AI-assisted reference matching, a private advocate community, and ROI studies.
It’s a good fit if you want research-style proof, like survey-backed stats, alongside your stories and references. UserEvidence positions itself for companies selling higher-priced products in competitive markets. Pricing isn’t published.
Best for: B2B software companies that want survey-driven evidence and reference matching.
Pricing: Not published. Demo required.
Vocal Video is built for remote video testimonials. Customers record from a browser link whenever it suits them, and the platform’s AI edits the raw footage into branded, multi-scene videos with captions, music, and motion graphics. Teams use it for employee and recruiting videos too.
The draw is finished video without a production crew. The tradeoff is that it’s a video tool first, so written case studies, references, and CRM-based reference requests will need to live somewhere else.
Best for: Marketing teams that want polished video testimonials at volume.
Pricing: Free plan with five watermarked videos. Paid plans start at $99 per month billed yearly, with Enterprise starting at $1,250 per month (pricing).
Testimonial.to collects text and video testimonials through a shareable page and displays them on an embeddable “Wall of Love,” a grid of customer quotes and videos you can drop onto any page. It can also import praise from X and LinkedIn. Higher tiers add an API, webhooks, Zapier, and Google rich snippets.
Setup is quick, and pricing is built for small teams. Testimonials are organized into project-based “spaces,” though, so B2B teams that want to tag proof by industry, persona, and deal stage will feel the limits as their library grows.
Best for: Startups and small teams that want a public testimonial wall fast.
Pricing: Free plan with 10 text and 2 video testimonials. Paid plans start at $25 per month billed annually (pricing).
Senja collects video and text testimonials through forms and imports, then displays them in widgets and Walls of Love. It also includes AI testimonial analysis, case study generation, social video reels, and thank-you rewards like e-gifts and coupons.
That’s a lot for the lower tiers, which helps explain why founders and lean marketing teams like it. Like most testimonial marketing tools here, it’s focused on collecting and displaying proof. Managing references and advocates isn’t really its job.
Best for: Lean marketing teams that want collection, display, and light case study creation in one tool.
Pricing: Free plan up to 15 testimonials. Paid plans start at $29 per month (pricing).
Boast is video testimonial software with automated email and SMS request sequences, embeddable forms, display widgets, and ad-free video hosting. It also collects online reviews and runs NPS and CSAT surveys.
Pricing is based on response volume, and multi-location support is built in, so it fits agencies and service businesses well. B2B software teams may find the reference and advocacy side thin.
Best for: Agencies and multi-location businesses that want automated video requests.
Pricing: Starts at $50 per month billed annually, with a 14-day free trial (pricing).
Figure out who’s going to use the proof before you pick the tool. A website wall and a sales reference program need very different software.
Product marketers run into this too. Positioning built on real customer language is easier to defend, which we cover in our post on product marketing strategy.
Testimonial marketing tools help you collect quotes and videos and show them on your website and social channels. Testimonial.to, Senja, Vocal Video, and Boast are in this group. They’re good at display and priced for small teams.
A customer evidence platform treats testimonials as one output of an ongoing customer program. It connects stories, references, advocacy, and customer research, then gets the right proof to sales and marketing when they need it. Deeto and UserEvidence sit closer to this end.
Video shows the gap clearly. Wyzowl’s 2026 research found that 57% of video marketers have created testimonial videos. Making the video isn’t the hard part anymore. Knowing which video helps close which kind of deal is, and that’s as much a data problem as a content problem.
There’s a bonus here too. The interviews that produce testimonials also tell you why customers picked you over the alternatives. That’s the raw material for a competitive advantage built on customer insights, and it comes from conversations you were already having.
Need a testimonial wall this week? Testimonial.to or Senja will get you there for under $30 a month. If video quality matters most, Vocal Video is built for exactly that.
B2B customer marketing teams usually outgrow display tools once sales starts asking for specific stories, specific references, and specific proof for specific deals. At that point, a widget won’t cut it. Your testimonials need to be connected to how your company listens to customers in the first place.
Picture a rep two days out from a decision who needs a fintech customer that switched from the competitor still in the deal. She finds that story in Salesforce in a couple of minutes, instead of posting in Slack and waiting. The buyer reads it in a peer’s own words, with real numbers and the details only a real customer would mention. That’s the proof that moves a deal forward. See how Deeto works with your own customer stories.
What is customer testimonial software?
Customer testimonial software is a platform that helps companies collect, approve, store, and publish customer feedback as written quotes, video testimonials, and stories. Most tools include a collection form or interview link, an approval step, a searchable library, and publishing tools like website widgets. B2B platforms also connect testimonials to references, advocacy programs, and the CRM, so sales teams can find relevant proof for each deal.
What are the best testimonial marketing tools for B2B companies?
For B2B companies that need proof across sales and marketing, Deeto and UserEvidence connect testimonials with references and advocacy. For website display and lightweight collection, Testimonial.to and Senja are popular low-cost options. Vocal Video is a strong pick for edited video testimonials, and Boast suits teams that want automated email and SMS requests for video.
How much does testimonial software cost?
Pricing varies a lot. Testimonial.to, Senja, and Vocal Video all have free plans, with paid tiers starting between $25 and $99 per month. Boast starts at $50 per month billed annually. B2B customer evidence platforms like Deeto and UserEvidence use custom pricing based on program size, integrations, and how many teams use the platform.
Are video testimonials better than written testimonials for B2B?
They do different jobs. Video builds trust fast on websites, in ads, and on social. Written quotes and stories are easier to scan, search, and drop into sales emails, proposals, and slides. Most B2B teams need both, which is why a platform that turns one interview into several formats saves so much time.
How do you get B2B customers to give testimonials?
Ask right after a clear win, like a renewal, a strong QBR, or a measurable result. Make it easy with a short recorded interview instead of a blank form, and let customers approve their final wording. Keep track of how often each customer gets asked so your best advocates don’t burn out, and thank them with rewards or recognition.
Can testimonial software help with AI search visibility?
Yes, indirectly. G2’s 2025 research found that 29% of B2B buyers start software research on AI tools like ChatGPT more often than on Google. Published customer stories with specific, named outcomes give AI answer engines credible material to cite. Testimonial software that publishes structured, searchable proof makes that content easier to find and reference.
What is customer testimonial software? Compare six platforms by price, format, and fit for B2B teams.
Your company already knows why customers buy, stay, and leave. That knowledge just lives in 40 places, and nobody can find it the week a launch brief is due.
Customer intelligence tools are software platforms that collect what customers say and do across interviews, calls, surveys, support tickets, and product usage, then turn it into patterns teams can act on. The best ones connect that intelligence to sales, marketing, product, and customer success instead of leaving it in a research folder.
This guide compares eight tools built for B2B teams, the collection methods behind them, and how to pick the right fit.
These tools gather first-party customer data, structure it, and surface the signals that matter for decisions like positioning, pricing, roadmap priorities, and renewals. They sit between raw feedback and the people who need to act on it.
In B2B, customer intelligence includes more than survey scores. It covers the reasons a deal was lost, the objections that show up in sales calls, the feature gaps that come up in renewal conversations, and the stories your happiest customers tell when someone asks them directly.
Most systems do some mix of capture, analysis, and activation. Capture means pulling in voice and behavior data from interviews, calls, tickets, reviews, and product usage. Analysis means finding themes and sentiment across thousands of data points without someone tagging them by hand. Activation means getting a finding to the team that needs it, inside the tools that team already works in.
Activation is where most stacks break. A product marketer can read a beautiful theme report and still walk into a launch without a single current customer quote to back up the message. A customer marketing lead can run a strong advocacy program and still have no view into which accounts are quietly at risk.
The terms overlap, and vendors use them interchangeably. There is a useful distinction, though.
Customer insights software usually focuses on analysis. It takes feedback you already have, such as survey responses, support tickets, or research transcripts, and helps you find themes in it. Research repositories and feedback analytics platforms fall here.
Customer intelligence tools usually cover more of the loop. They generate new customer input as well as analyze it, and they push what they find into other teams' workflows. If your team already has plenty of data and needs help reading it, customer insights software may be enough. If your team is short on fresh, honest customer input in the first place, you need something that collects it, too.
For a deeper look at evaluation criteria, our guide on how to choose a customer intelligence platform walks through the platform types and the questions to ask every vendor.
The best methods for collecting customer intelligence combine direct conversations with passive signal capture. Direct methods tell you why. Passive methods tell you what, and how often. Strong B2B programs use at least one of each.
Mining calls, chats, and tickets for customer signal is standard practice now. The harder problem is that customers are volunteering less. Qualtrics XM Institute found that only 32% of consumers share direct feedback with a company after a very poor experience, down 7.7 points since 2021, based on a study of more than 23,000 consumers. That's consumer data, not B2B, but the lesson carries over. Analyzing the conversations you already have tells you about the customers who happen to talk to you. Continuous, structured outreach tells you about the ones who don't.
Existing customers carry most of the revenue in B2B. Forrester reports that current customers account for 61% of B2B revenue through renewal and expansion (Forrester). If most of your revenue comes from people who already bought, not understanding them gets expensive, and you usually find out late, in a renewal forecast.
Leaders know it. In a Gartner survey of 283 customer service and support leaders, 84% said customer data and analytics were very or extremely important to hitting their goals (Gartner). The gap comes from lack of communication between teams. Feedback sits with CS, call recordings sit with sales, research sits with product, and customer stories sit with marketing. Each team collects plenty, and very little of it reaches whoever is making the next decision.
Each tool below is strong at a different collection method. Very few B2B companies need all eight. Most need two or three that work together.
Deeto is an AI-native voice of the customer platform built for the step most stacks skip, getting customer intelligence to the people who act on it. It runs on five connected modules: Listen, Learn, Activate, Analyze, and Orchestrate.
That's the activation layer described earlier. A theme report only pays off when it reaches the product marketer writing the launch brief or the account manager walking into a renewal call. Deeto relaunched its platform in January 2026 around this idea, treating customer voice as a system of record that teams can use in real time (Business Wire).
Analysis-only tools read input someone else gathered. Deeto generates it. The same customer conversation can produce a win-loss insight, a sentiment signal, a roadmap request, and an approved quote for a sales deck. That matters most for customer marketing teams, who run customer advocacy programs and are often closest to customers while seeing the least of the intelligence those relationships produce.
Best for B2B teams that want one connected source of customer voice across product marketing, customer marketing, sales, and CS. In published Deeto customer stories, Clarivate reported a 75% productivity gain with a two to four week time to value, and Wrike grew its reference pool by 50 to 75%.
Gong is a revenue AI platform built on conversation intelligence. It records and transcribes sales calls, meetings, and emails, then flags deal risk, competitor mentions, and recurring themes across conversations. Its newer AI agents handle tasks like deal reviews and CRM updates (ZoomInfo review of Gong features).
Gong is excellent at mining the conversations your reps already have. Its limit for customer intelligence is scope. It hears customers mostly during the sales cycle and on calls a rep set up, so it misses post-sale sentiment from customers who never get on a call.
Best for sales leaders and revenue operations teams that want deal visibility and coaching from recorded calls.
Dovetail started as a research repository and now positions itself as an AI-native customer intelligence platform. It pulls in interviews, calls, surveys, support tickets, and NPS data, uses AI to find themes and track sentiment, and answers questions directly in Slack or Teams.
Dovetail fits well when you have a lot of qualitative data and a research team that needs to analyze and share it. In the terms above, it's mostly customer insights software. You still need a way to generate fresh customer input.
Best for UX research, product, and insights teams managing large volumes of interviews and qualitative feedback.
Enterpret is a customer feedback analytics platform that unifies feedback from more than 50 channels, including support tools, sales calls, reviews, and communities. Its October 2025 launch added a customer knowledge graph that connects feedback to accounts and opportunities, plus agents that flag emerging issues automatically (Business Wire).
Enterpret's adaptive taxonomy removes most manual tagging, which saves real time on high-volume feedback. The customers it names publicly, including Canva, Notion, Strava, Monday.com, and Perplexity, are mostly product-led companies with large user bases, so B2B companies with lower feedback volume may get less out of it.
Best for product and CX teams at product-led companies drowning in support and in-app feedback.
Clozd is a dedicated win-loss analysis platform. It runs live and AI-assisted buyer interviews after deals close, handles outreach and scheduling, and summarizes themes across interviews into Slack, Teams, and CRM (Clozd platform overview).
Clozd goes deep on one method, and that's the point. If win-loss insights are your top priority, it's a specialist worth a look. If you need intelligence from the rest of the customer lifecycle, you'll need another tool alongside it.
Best for product marketing and competitive intelligence teams running formal win-loss programs.
Gainsight is a customer success platform built around account health. It combines health scores, a Customer 360 view, renewal forecasting, and playbooks. Its Staircase AI product analyzes emails, meetings, tickets, and Slack to detect sentiment and churn risk (ZoomInfo review of Gainsight).
Gainsight is strongest at operationalizing what CS already knows, and it's a bigger project than most tools on this list. Gainsight says a core customer success framework can be up in about eight weeks, with verified outcomes arriving in roughly four months on average (Gainsight). Plan for an admin to own it after launch.
Best for mid-market and enterprise CS organizations managing renewals and expansion at the account level.
Productboard is a product management platform with a strong customer feedback layer. It centralizes feedback from connected sources, uses AI to surface trending topics and summarize pain points, and links each insight to the feature ideas it supports, with importance scores by customer segment.
Productboard is the right home when the product team is the main consumer of customer intelligence. It's less useful for marketing or sales teams that need customer proof or messaging input. If roadmap decisions are your use case, our guide to using customer feedback to build a product roadmap pairs well with it.
Best for product managers who need to tie feature requests to real customer demand.
6sense is a B2B account intelligence and ABM platform. It collects buying signals, including third-party intent data and anonymous website visits, to show which accounts are researching your category and when (TrustRadius).
6sense answers a different question than the rest of this list. It tells you who is likely to buy, not what your customers think. That makes it a useful complement for demand gen and sales, but it won't replace direct customer voice.
Best for demand generation and sales teams prioritizing accounts based on in-market signals.
The chart compares each tool by primary collection method, best fit team, standout capability, and main limitation. Vendor capabilities change often, so confirm current features with each vendor before you buy.
Start with the decision you're trying to improve, not the feature list. A launch messaging problem, a churn problem, and a roadmap problem need different inputs.
Then figure out where your data gap actually is. If you have plenty of calls and tickets but no structured customer conversations, prioritize a tool that generates input. If it's the other way around, prioritize analysis.
Think about who will read the output. Tools built for researchers rarely get opened by sales reps, so look for delivery into Salesforce, HubSpot, Slack, or your enablement platform. Deeto's CRM and workflow integrations push customer voice into those systems directly.
Check how much of the lifecycle a tool can see. Many see customers at only one stage, and pre-sale, onboarding, renewal, and advocacy each surface different signals. Positive and negative voice belong together, too. The customer who flags a gap this quarter may be your best reference next quarter, and splitting those conversations into separate systems loses the context.
Last, be honest about time to value. A multi-month implementation should be considered a cost when the board is asking about retention this quarter.
For product marketing teams, the bar is simple. Can you walk into a launch with current, verified customer language and know it reflects the market, not one loud account?
What are customer intelligence tools?
Customer intelligence tools are software platforms that collect customer data from sources like interviews, sales calls, surveys, support tickets, and product usage, then analyze it for themes, sentiment, and trends. The best tools also deliver findings into the systems sales, marketing, product, and customer success teams already use, so the intelligence shapes decisions instead of sitting in a report.
What are the best methods for collecting customer intelligence?
The most effective methods are customer interviews, win-loss interviews, sales call analysis, surveys and in-product microfeedback, support ticket and review analysis, product usage data, buyer intent data, and advocacy conversations. Strong B2B programs combine at least one direct method that explains why customers act with one passive method that shows patterns at volume.
What is the difference between customer intelligence tools and customer insights software?
Customer insights software usually analyzes feedback a company already has, such as survey responses, transcripts, or tickets, to find themes. Customer intelligence tools typically cover more of the loop, generating new customer input and pushing findings to other teams as well as analyzing them. Many vendors use both terms, so check whether a tool collects data or only reads it.
Which customer intelligence tool is best for B2B product marketing teams?
Product marketing teams need current customer language, competitive context, and proof they can use in messaging. A voice of the customer platform like Deeto covers interviews, sentiment, and customer evidence in one place. Teams focused heavily on competitive deals often add a win-loss specialist like Clozd or conversation intelligence like Gong for call-level detail.
Do I need more than one customer intelligence tool?
Most B2B companies use two or three tools that cover different collection methods. A common pairing is a platform that generates and connects customer voice across teams, plus a specialist such as conversation intelligence for sales calls or intent data for demand gen. Aim for the smallest stack that covers the methods you need, with one place where the results come together.
Every B2B company has customer intelligence. Most of it is stuck in the tool where it was collected, and the best customer intelligence tools are the ones that get it out.
If your biggest gap is analysis, a specialist will help. If your biggest gap is fresh, honest customer input that reaches marketing, sales, product, and CS at the same time, you need a connected system, which is the problem Deeto is built to solve. See how Deeto works and hear what your customers are ready to tell you.
What are customer intelligence tools? Compare 8 B2B options, collection methods, and how to pick the right fit.
Six in ten B2B buyers would rather not talk to your sales team at all. That puts more weight on every email, in-app message, and text you send, and on what those messages actually say.
Omnichannel customer engagement tools are platforms that unify customer data and coordinate personalized messages across email, SMS, push, in-app, web, and messaging apps from one place. They decide who gets what message, on which channel, and when. The best ones now use AI agents to build and optimize campaigns with less manual work.
This guide compares eight leading platforms on channels, AI, data, and pricing models. It also covers the gap none of them fill, which is authentic customer proof that makes each message credible.
Omnichannel customer engagement tools are software platforms that connect every channel a customer uses into one coordinated program. Instead of running email in one tool and SMS in another, a team builds a single customer profile and triggers messages from it wherever the customer is most likely to respond.
Omnichannel engagement software typically has four layers:
The difference between multichannel and omnichannel is coordination. Multichannel means you're present on many channels. Omnichannel means those channels share context, so a customer who just replied on WhatsApp doesn't get a generic email ten minutes later.
Buyers are doing more of the work alone. A Gartner survey of 632 B2B buyers found that 61% prefer a rep-free buying experience, and 73% actively avoid suppliers who send irrelevant outreach.
That second number is the one customer marketing leaders should sit with. Irrelevant outreach costs you the buyer. A message has to be timely and it has to be credible, and engagement platforms only handle the first part.
Buyers are also checking your claims somewhere else first. In G2's 2025 Buyer Behavior Report, enterprise buyers named review sites (56%) and AI search (55%) as their top two research sources. Both run largely on what other people say about you, not what you say about yourself.
Engagement automation decides when a buyer hears from you, while customer voice decides whether they believe you.
We used each vendor's own product and pricing pages as the primary source and looked at six things: the company type and use case each platform is built around, the owned and paid channels it supports natively, its AI and automation features (agents, decisioning, content generation), how it unifies customer data, its pricing model, and its placement in the 2026 Gartner Magic Quadrant for Multichannel Marketing Hubs.
Gartner published that report on September 22, 2026, and evaluated 12 vendors. According to Braze's summary of the results, Braze, Salesforce, and Adobe were named Leaders. Klaviyo and Insider One were Challengers, Bloomreach was a Visionary, and Iterable was a Niche Player. HubSpot wasn't among the vendors evaluated.
A Gartner Magic Quadrant scores vendors on two measures, ability to execute today and completeness of vision for where the market is going. Leaders score high on both. Challengers execute well with a narrower vision, Visionaries have strong strategy but less proven delivery, and Niche Players often focus on a specific segment. A Niche Player can still be the best fit for your team.
The first three platforms fit B2B customer marketing programs, where you're engaging accounts, buying committees, and existing customers over long cycles. The last five are built mainly for high-volume consumer messaging.
HubSpot Marketing Hub is the most accessible option here for B2B teams. It's CRM-native, so marketing, sales, and service data live in one place without a separate integration project.
It covers email, SMS, WhatsApp, social publishing and inbox, ads, personalized web content, and live chat. The Breeze Assistant and a set of AI agents (Content, Nurture, Campaign, Customer, and Prospecting) handle content creation and lead nurturing.
For customer marketing, that shared record is the point. Onboarding sequences, renewal nurtures, and expansion campaigns can all key off lifecycle stage and deal data that sales and CS already keep up to date, so you're not working from a stale export.
HubSpot has a free plan with automated email, forms, and live chat, plus paid tiers. Teams with complex, high-volume consumer messaging usually outgrow it, but for mid-market B2B it covers most engagement automation needs.
Salesforce Marketing Cloud is the obvious choice for companies already running sales and service on Salesforce. Its newer product, Marketing Cloud Next, builds Agentforce AI agents into email, SMS, and web, and adds paid advertising activation and cross-channel analytics.
The Campaign Agent generates channel-ready content and optimizes sends from your goals and guardrails. Salesforce also pitches agentic demand generation, with agents that prospect target accounts, qualify inbound demand, and nurture buyers. That makes it one of the few tools on this list with an explicit B2B motion.
For enterprise customer marketing teams, the draw is shared account context. A renewal or advocacy campaign can draw on the same account, opportunity, and service history that sales and support see. Pricing isn't published on the product page.
Adobe Journey Optimizer is a real-time orchestration engine built on Adobe Experience Platform. It covers email, push, in-app, SMS and MMS, and web personalization, with AI decisioning for next best actions and a Journey Agent that helps build and analyze programs.
Its strength is depth. Real-time profiles, streaming data, and governance controls come from Experience Platform, which suits large enterprises with strict data requirements. That depth is also the trade-off. Journey Optimizer pays off most for teams already invested in the Adobe stack. Pricing isn't published.
Braze is built for consumer brands in retail, travel, media, gaming, and on-demand services, and was named a Gartner Leader for the fourth year in a row. Its pricing page lists email, push, SMS, RCS, WhatsApp, in-app, and more in every edition, with quote-based pricing tied to monthly active users. There's no free plan.
Klaviyo calls itself an autonomous B2C CRM and says it powers more than 205,000 brands across 100 countries. Its Composer agent builds campaigns from a prompt, and you can start on Klaviyo for free.
Insider One, which rebranded from Insider in December 2025, covers web, email, SMS and RCS, mobile app, WhatsApp, and web push. Its Agent One feature plans and optimizes campaigns, and the industries it lists lean toward retail, beauty, automotive, travel, financial services, and telecom.
Bloomreach Engagement pairs real-time customer and product data with Loomi AI decisioning across 13+ channels. It cites more than 1,400 brands and enterprises as customers, and predictions for purchase, churn, and returns make it especially useful for commerce teams.
Iterable is a cross-channel platform for consumer brands in fintech, marketplaces, retail, media, and streaming. Its support documentation lists nine channels, and its Nova layer adds AI agents and next-best-action decisioning. Pricing runs through sales.
Every platform above is good at timing and targeting. None of them can make the message itself credible. They'll personalize a subject line in milliseconds, but they can't produce a customer quote or a peer reference your buyer will trust.
That's where most programs break down. The proof usually lives somewhere else: testimonials, case studies, and reference customers sit in slide decks, Slack threads, and someone's inbox. The same few happy customers get every reference request because nobody can see who else is willing, and they burn out. And what customers say in interviews and surveys rarely reaches the person building the campaign in a form they can use.
Sending faster won't fix a message nobody believes.
Engagement tools decide when to reach someone. Deeto decides what's worth saying when you do.
Deeto is a voice of the customer platform. It turns authentic customer voice into intelligence and routes it into the tools your team already uses, including Salesforce, HubSpot, and Slack. It works alongside your engagement platform rather than replacing it.
Picture a nurture sequence in HubSpot. A director of operations at a mid-sized fintech company downloads your compliance guide and enrolls in a five-email track. Email three is where proof usually goes, and it's usually a logo bar or a stat lifted from your homepage.
With Deeto in the mix, that slot carries a short customer quote from an operations leader at another fintech customer, captured in an AI interview a few weeks after their rollout. Deeto's AI Match Agent picks the customer whose situation looks most like the prospect's. When the deal reaches sales, that same customer is ready as a reference, and nobody has to dig through old decks to find them.
The email is just as timely as before. Now it's believable too.
For customer marketing teams, that's the shift. Your engagement platform keeps handling timing and delivery. Deeto keeps it stocked with fresh, relevant customer voice, and spreads asks across a wider customer advocacy bench so the same few customers don't burn out.
Back to the Gartner number from earlier. When 73% of buyers avoid suppliers who send irrelevant outreach, a message carrying a real peer's words has a better shot than one carrying yours. If you're comparing proof tools too, our breakdown of customer testimonial software platforms covers that side of the stack.
Start with your business model, then work down to features. A few questions narrow the field fast:
What are omnichannel customer engagement tools?
Omnichannel customer engagement tools are platforms that unify customer data and coordinate personalized messages across channels like email, SMS, push, in-app, web, and WhatsApp. They use one customer profile to decide who gets which message, on which channel, and when. Examples include Braze, Salesforce Marketing Cloud, Adobe Journey Optimizer, HubSpot, and Klaviyo.
What is the difference between omnichannel and multichannel engagement?
Multichannel engagement means a brand is present on several channels, often managed in separate tools. Omnichannel engagement connects those channels so they share data and context. A customer's action on one channel changes what they see on the next, which avoids repeated or conflicting messages.
Which omnichannel engagement software is best for B2B companies?
For B2B companies, HubSpot Marketing Hub and Salesforce Marketing Cloud Next are the strongest fits because they're built around CRM data, accounts, and pipeline. HubSpot suits mid-market teams that want fast setup and a free starting plan. Salesforce suits larger companies already running sales on Salesforce.
What is engagement automation?
Engagement automation is the use of software to trigger and sequence customer messages based on behavior, timing, and profile data instead of manual sends. It includes onboarding flows, renewal reminders, re-engagement campaigns, and advocacy requests. Modern platforms add AI agents that build and optimize these programs within guardrails a team sets.
How much do omnichannel customer engagement platforms cost?
Pricing varies widely. HubSpot and Klaviyo offer free starting plans with paid tiers. Braze, Salesforce, Adobe, Insider One, Bloomreach, and Iterable use quote-based pricing tied to factors like active users, contacts, message volume, and channels. Ask vendors for a multi-year total cost that includes implementation.
Do omnichannel engagement tools replace customer advocacy platforms?
No. Engagement tools manage when and where messages reach customers. Customer advocacy and voice of the customer platforms like Deeto capture the testimonials, references, and feedback that make those messages credible. Connecting the two lets customer proof flow into every channel you run.
Engagement platforms have gotten very good at timing. Braze, Salesforce, Adobe, HubSpot, and the rest can now plan and run campaigns with AI agents doing much of the work.
The harder problem is trust. Buyers research on their own and lean on peers, and most will walk away from a vendor that sends them noise. A perfectly timed message with nothing credible inside it still gets ignored.
Pick the engagement platform that fits your business model and stack. Then make sure what flows through it carries your customers' voices, not just your own. See how Deeto works to put authentic customer proof into every channel you run.
Compare 8 omnichannel engagement platforms on channels, AI, and pricing, plus the gap automation can't fill.
Your customers decide to renew, expand, or churn based on things they told someone on your team months ago. Chances are, nobody did anything with that information.
Voice of the Customer for Software as a Service companies, shortened as VoC for SaaS, is the practice of continuously capturing what customers say across the subscription lifecycle, from first demo to renewal, and turning it into decisions about product, messaging, sales, and retention. A strong voice of the customer strategy connects each piece of feedback to the team that can act on it while the account is still active.
This guide covers what a SaaS VoC strategy includes, where it usually breaks, how the main VoC methods compare, and a five-step plan to build one.
Voice of the customer (VoC) is a structured way to collect, organize, and act on what customers need and expect. In SaaS, it carries extra weight. Revenue arrives in installments, so every customer decides again at every renewal whether the product is still worth paying for.
A VoC strategy for SaaS includes four parts:
Done well, a VoC program tells you why you lost the deal, which features your best accounts can't live without, and the words buyers actually use for the problem you solve.
A one-time purchase gives you one shot at the sale. A subscription gives the customer a vote every billing cycle.
Forrester's B2B research found that customer-obsessed companies grow revenue 28% faster, with 33% higher profitability growth and 43% better customer retention than companies without that focus. Customer obsession sounds like a culture slogan, but in practice it comes down to one main question, does customer feedback reach the people making decisions, fast enough to change them?
Retention is where SaaS economics live. Fred Reichheld's research at Bain found that in financial services, a 5% increase in customer retention produces more than a 25% increase in profit, because returning customers buy more over time and cost less to serve. Subscription software runs on the same math where every renewal you protect compounds.
For customer marketing and advocacy teams, VoC is the best source of proof you'll ever have. Every interview, QBR note, and renewal conversation tells you who's getting value, what result they got, and how they describe it.
That's your reference pool, your next case study, and your shortlist of advocates, already sitting in what customers have said. Most customer marketers still find them the hard way, by asking CSMs for names and chasing busy champions for a quote. A connected VoC program flips that. The customer who just told a CSM they cut onboarding time in half shows up as a story candidate the same week, with their own words attached. That's how customer advocacy scales without burning out the same five customers.
The same evidence protects the rest of the business. Pendo analyzed usage across 615 software products and found that 80% of features in the average product are rarely or never used. Someone built each of those features believing customers wanted it. A working VoC program would have tested that belief before engineering spent a quarter on it.
The feedback already exists in most SaaS companies but it lands in the wrong place at the wrong time.
Here is where it usually breaks down:
Each of these is a routing problem more than a collection problem. Adding another survey tool won't fix it. What fixes it is one system that turns customer voice into intelligence and sends it to the right team. That's the gap Deeto was built to close, and it shapes how you should build the program.
Most SaaS companies already run three or four of the methods below, but they don't talk to each other, and none of them were built to carry the customer's own words from first demo to renewal.
Gong records the calls your reps and CSMs were already having. Pendo collects usage data, in-app polls, and NPS from the people using your product, mostly to inform the roadmap. Both do those jobs well. Neither is built to go interview the economic buyer about why they almost churned, or to turn a champion's story into a reference a rep can use in a late-stage deal.
Deeto doesn't replace either of them. It pulls their signals together with direct customer conversations, then ties everything to the account and routes it to the team that needs it.
Start with the decisions you need to make and work backward. Most teams do it the other way around: buy a survey tool, collect a pile of responses, then try to work out what they're for.
Pick three to five decisions coming up in the next two quarters. Examples: positioning for the Q1 launch, renewal risk across your top 50 accounts, the next two roadmap bets. Every listening activity should map to at least one of them. If it doesn't, cut it.
SaaS customers say different things at different stages. List the moments that matter for your business: the closed-lost deal, onboarding week three, the first QBR, 90 days before renewal, the expansion conversation. A customer journey map makes the gaps obvious. Pre-sale signals belong here too. A structured win/loss analysis is often the fastest way to learn what buyers compare you against.
Annual surveys produce a snapshot. Continuous capture produces a trend line. Short, conversational check-ins tied to lifecycle moments get higher response rates and richer answers than a 30-question survey. Deeto runs AI-led customer interviews at each of those moments, so the feedback arrives with context and in the customer's own language.
SaaS customer insights are only useful if people can find them. Store every interview, quote, score, and story against the account and contact it came from. Connect it to the tools your teams already work in through CRM and Slack integrations. A rep should be able to see what a customer said six months ago without filing a request.
This is where most programs stall. Decide in advance who gets what:
A VoC program earns its budget when it changes outcomes. Track a small set of metrics tied to the decisions you named in step one:
Deeto customers see sales cycles 20 to 30% shorter when reps have customer proof inside the deal, not buried in a quarterly deck.
What is VoC for SaaS?
VoC for SaaS is a structured approach to capturing what customers say across the subscription lifecycle, from evaluation through onboarding, adoption, and renewal. It turns that feedback into decisions about product priorities, positioning, sales proof, and retention. The goal is to get customer evidence to the team that can act on it while the account is still active, rather than in a quarterly report.
How is a voice of the customer strategy different from collecting customer feedback?
Collecting feedback is one activity. A voice of the customer strategy is the system around it. It defines which decisions feedback should inform, where to listen in the customer lifecycle, how to store and analyze what you hear, and who is responsible for acting on it. Many SaaS companies collect plenty of feedback but have no strategy, so it sits unused in survey tools and call recordings.
What are the best sources of SaaS customer insights?
The strongest SaaS customer insights come from combining sources. Customer interviews explain the reasons behind behavior. Product analytics show what users actually do. Conversation intelligence captures what comes up in sales and CS calls. Surveys like NPS and CSAT track sentiment over time. Review sites show how customers describe you in public. No single source gives the full picture on its own.
Who should own a VoC program in a SaaS company?
Ownership varies, but the program works best with one accountable owner and clear consumers. Product marketing, customer marketing, or customer experience often own it day to day. Product, sales, and customer success are the main consumers. What matters most is that someone is responsible for routing findings to those teams and tracking whether they acted on them.
How often should SaaS companies collect voice of the customer data?
Continuously, tied to lifecycle moments rather than a calendar. Trigger short check-ins after onboarding, after key feature launches, before renewals, and after closed-won or closed-lost deals. An annual survey can still serve as a benchmark, but it's too infrequent to catch churn risk or shifts in buyer priorities in a market that changes every quarter.
How does AI change VoC for SaaS?
AI makes continuous VoC practical at scale. It can run conversational interviews, transcribe and tag responses, detect sentiment shifts, and group feedback into themes across thousands of comments. The bigger change is speed. AI can surface a pattern the week it appears and push it to the right person, instead of waiting for an analyst to compile a quarterly readout.
Most SaaS companies have plenty of customer feedback. What they're missing is a reliable path from what customers say to what teams decide. A good VoC strategy for SaaS starts with the decisions that matter most this year, listens at the lifecycle moments that shape them, keeps everything in one place, and routes findings to the people who can act.
Get that right and you'll see it in renewals and win rates first. The roadmap takes longer to change, but it's how you stop building the features nobody uses.
Deeto is a voice of the customer platform built for this, used by SaaS and technology companies to capture customer voice continuously and put it to work across product, marketing, sales, and CS. See how Deeto works.
What is VoC for SaaS? Learn how to capture customer voice and turn it into decisions that drive renewals.
See how Deeto helps you turn customer voice into a GTM advantage.
