A resource and community space for modern marketers, sellers, and builders using customer voice to grow — together.
This hub is built for anyone who wants to do more with the voices of their customers. Whether you're scaling advocacy, building trust with proof, or rethinking how to go to market — you're in the right place.
How-to guides and playbooks for building with customer voice
Campaign-ready templates and swipe files
Benchmark reports and reference best practices
Event recordings, expert sessions, and community spotlights
Ask questions. Share ideas. Trade wins. This is your space.
You don’t have to figure this out alone. The Deeto community connects you with other leaders using customer voice to build better GTM motions, faster-growing brands, and smarter strategies. If you are interested in joining when it launches, sign up below.
Automate advocacy management workflows
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Discover practical guides, templates, and tools to help your team close more deals, faster.
Overview:
The playbooks that drove growth two years ago are losing their edge. Buying behavior has outpaced the systems built to support it, and the gap is widening. The teams pulling ahead aren't waiting for the annual planning cycle to catch up. They're listening differently, acting faster, and connecting customer signals to decisions in real time.
In this session, we'll share the go-to-customer shifts that will define 2026, grounded in real customer signals, not trend cycles or theoretical frameworks. We'll cover where traditional GTM motions are losing effectiveness, what leading teams are doing differently, and how organizations are rethinking ownership of customer insight and activation across the full lifecycle.
You’ll learn:
Location: On-demand virtual event (Link sent upon registration)
Speakers:
Shawnna Sumaoang, CMO, Deeto
GTM strategies are breaking down. Here's what the signals already say about 2026 and what leading teams are doing differ
In today’s market, products and services alone no longer define leadership, customer understanding does. Companies that systematically capture, organize, and act on customer insights create a strategic advantage that’s both defensible and hard for competitors to replicate. However, not all insight strategies are equal. The difference between guesswork and insight-driven advantage isn’t just data, it’s customer truth operationalized. That’s where forward-thinking teams unlock exponential growth.
A competitive advantage is the strategic edge(or “wedge”) that enables a business to deliver greater value, differentiation, or relevance than its rivals, consistently over time. It’s not a one-off win, nor is it dependent on one department. It lives at the intersection of:
Customer insights fuel all three.
Why Customer Insights Drive Competitive Advantage
Customer insights are distinct from raw data. They contextualize behavior, sentiment, and expectations, enabling teams to answer questions about why customers behave a certain way, where unmet needs exist, which experiences determine loyalty, and how competitors miss the mark. When insights are accurate and accessible, they reduce uncertainty, prioritize strategic bets, and increase ROI on decisions.
The first step into gaining insight is to collect customer voice. This data should be collected from a variety of customers, including current customers, past customers, or potential customers. Knowing who you’re researching and having clear objectives in mind is an important part to customer research. Customer voice can be collected a variety of ways, from surveys to recorded interviews. Most importantly, capture feedback exactly as it’s given and avoid paraphrasing or summarizing. Some of the most powerful insights can come from word choice, tone or context.
The Biggest Insight Pitfalls and How to Avoid Them
Companies often make data the hero, but insights are created through patterns, context, and interpretation. Common traps include:
To avoid these traps, insight strategies must be centralized, contextualized, and actionable.
A Framework for Turning Customer Insights Into Competitive Advantage
Here’s a simple, repeatable framework teams can use:
Collect signals across the customer journey from feedback, support tickets, product interactions, social media, discovery calls, reviews, churn reasons, win-loss conversations and sales conversations. Each touchpoint holds customer truth and insights that can be used to build out your product roadmap.
Move beyond individual data points by grouping signals into themes that tell why trends are occurring. These patterns are the signals you need to filter noise from recurring problems and solutions.
Insights only become competitive if they influence decisions. Distribute patterns to product, marketing, sales, and support teams with context, not just data dumps.
Not all insights are equal. Use clear criteria (impact, feasibility, strategic relevance) to decide what to act on first.
Embed insights into roadmaps, campaigns, messaging, and metrics. Then measure what changed (customer satisfaction, retention, conversions?) and refine.
Why This Matters Today
Markets are changing faster than ever. Customers expect solutions that feel personalized, seamless, and relevant. Competitors aren’t just traditional rivals, they’re startups with no legacy constraints and tech-enabled leaders who can iterate quickly. In this environment, customer insight is no longer optional, it’s table stakes for relevance.
What World-Class Teams Do Differently
Top organizations treat customer insights not as an output but as a system of truth. First, insights are centralized and shared. Teams collaborate around this shared understanding to provide a unified, data-driven approach throughout the company’s marketing materials, sales strategy, customer onboarding, and in ongoing interactions. Because of this, decisions are evidence-formed rather than led by intuition, and since success is seen, reported on and shared, the loop becomes continuous.
Companies like Deeto make customer voice accessible, unified, and actionable without forcing another silo or workflow change. Instead of fragmented notes, disconnected tools, and guesswork, Deeto gives teams a single source of truth for customer insight that:
Q: What’s the difference between data and customer insights?
Data are raw points: numbers, comments, clicks. Customer insights are patterns that explain why behavior exists and what it means for your strategy.
Q: How often should teams update their insight practices?
Insight practices should be continuously updated. Insight advantage decays if it’s not refreshed with new signals, especially in fast-moving markets.
Q: What functions benefit most from insights?
Every part of the business benefits from customer insights. Product uses insights for ideation, marketing for messaging and segmentation, support for experience improvement, sales for objections and positioning. This is why it’s important to ensure that insights are shared and easily accessible throughout the organization.
Q: Does automation replace human judgment?
No, automation is not meant to replace human context but is there to help capture and organize data at scale. Human judgment and decision frameworks turn that automated data collection into strategic insight.
Q: How do you measure the impact of customer insights?
You can measure the impact of customer insights by examining the decisions they directly influence across your organization. Look at what changed as a result of acting on those insights, then track improvements in key metrics such as retention, conversion rates, and customer satisfaction after activation. Over time, use a closed-loop learning approach (where outcomes inform the next round of insight gathering and refinement) to continuously strengthen your strategy and results.
Q: Can small teams do this effectively?
Yes, with the right system for capturing and sharing insights it’s easy to continuously capture insight. Even a single pattern discovered early can pivot strategy and unlock growth.
Competitive advantage isn’t won by guesswork or intuition, it’s created through understanding people deeply and acting with conviction. When teams align around true customer voice and use it to guide decisions, they don’t just react to change, they shape the future of their market. If you’re ready to move beyond data noise to strategic clarity, that’s where advantage begins.
Learn how to turn customer insights into competitive advantage with a clear, actionable framework for growth.
Most product roadmaps don’t fail because of poor execution. They fail because they’re built on assumptions. If you want to know how to use customer feedback to build a product roadmap that actually drives growth, the answer isn’t “collect more feedback.” It’s about structuring customer voice so it informs prioritization decisions in a consistent, measurable way.
Customer feedback isn’t a backlog queue, it's a directional signal. Here’s how to turn that signal into a roadmap that reflects reality rather than internal bias.
Every product team has opinions about what to build next, which is why it’s important to bring in data. Customer feedback is that data or proof about what should be prioritized. When structured correctly it helps you identify friction points that block revenue, spot patterns tied to churn, validate feature demand before investing resources, and strengthen product-market alignment.
Feedback only becomes strategic when it moves beyond anecdotes and becomes pattern-based insight. The goal isn’t to let customers dictate your roadmap, it’s to let recurring customer reality inform it.
Customer feedback lives everywhere:
If each team holds its own version of the truth, your roadmap will skew toward the loudest department. Before prioritizing anything, centralize feedback into one visible system. When insights are unified, patterns become obvious. Without centralization you’re simply reacting, but with it, you’re diagnosing.
The most common roadmap mistake is building for the most recent request.
Instead, look for:
Ten similar comments are signals. One isolated idea is noise. Product strategy emerges from recurring problems, not individual opinions.
Customers usually suggest solutions:
“We need a dashboard.”
“Add more integrations.”
“Make it customizable.”
Your job is to translate those into underlying problems:
If you build exactly what customers ask for, you risk solving the wrong problem. When you focus on the root friction, you unlock better product decisions.
Once you’ve identified recurring themes, you need a prioritization lens. Here’s a practical framework product teams can use:
1. Frequency: How often does this issue appear across accounts?
2. Revenue Influence: Is it impacting deal velocity, expansion, or win rates?
3. Retention Risk: Is it contributing to churn or dissatisfaction?
4. Strategic Alignment: Does solving this strengthen your long-term product vision?
The key is to keep your filters consistent. Every roadmap decision should pass through the same lens.
Qualitative insight tells you what customers feel while quantitative data tells you how widespread it is. This is where customer research becomes critical. Customer research shouldn’t stop at interviews or surveys. It should connect what customers say with how they behave. Before committing roadmap resources, validate recurring feedback themes using:
For example:
If multiple enterprise accounts request better reporting, and usage data shows low export adoption combined with frequent reporting-related tickets, you’ve identified structural friction, not preference. That’s roadmap-worthy.
Instead of adding individual requests to your backlog, group insights into themes. If raw feedback is asking for more export formats, report customizations, or expanded dashboards, translate that feedback into themes such as visibility and reporting flexibility. Then, take that theme and incorporate it into the roadmap in an initiative such as “reporting infrastructure upgrade.” The roadmap should reflect problem clusters, not scattered feature ideas.
When customers see their feedback influence what you build, their trust in you compounds. When you activate customer feedback it strengthens retention, increases advocacy, improves future feedback quality, and encourages deeper engagement. Even a simple update such as, “You told us reporting was limited. We rebuilt it.” reinforces that feedback drives action.
Not every request deserves equal weight. Prioritize recurring issues from your ideal customer profile.
One frustrated account doesn’t equal systemic failure. Validate patterns before shifting strategy.
Build around root causes, not surface-level feature ideas.
If the product team can’t see sales insights, or sales can’t see support friction, your roadmap will always be incomplete.
Raw feedback without tagging, categorization, and theme clustering is noise.
Most teams don’t struggle with collecting feedback. They struggle with structuring it. To build a product roadmap from customer voice consistently, you need:
When customer voice is continuous and structured, roadmap planning stops being a quarterly debate and starts becoming an evidence-based process.
Platforms like Deeto help centralize fragmented customer conversations, including win/loss insights, reviews, and sales feedback, so that recurring patterns surface early. Customer voice becomes part of how decisions are made, not something reviewed after they’re made.
Start by identifying recurring themes in customer feedback across accounts. Then evaluate those themes against consistent criteria:
Customer feedback should inform prioritization, but it should move through a structured framework before it earns a roadmap slot.
No, while customers may surface issues it is ultimately up to the product team to design solutions. The better approach is to translate feedback into underlying friction points, validate them with data, and then design the right solution.
Customer feedback is raw input such as support tickets, NPS comments, feature requests, reviews that capture what customers are experiencing in the moment. Customer research goes a step further by organizing and analyzing that feedback to identify recurring patterns, segment trends, and measurable impact. While feedback tells you what someone said, customer research connects what customers say with what they actually do, validating insights against behavioral data like adoption, churn, or conversion rates.
Customer feedback insights and pattern detection should be a continuous process. Review feedback themes regularly, as often as bi-weekly, and adjust the roadmap accordingly to reflect real-time market shifts.
Tools for managing customer feedback should include:
Platforms like Deeto help unify feedback across sales, support, win/loss, and review channels so recurring themes surface early. But the real advantage comes from embedding customer voice directly into roadmap discussions.
The best product roadmaps don’t come from brainstorming sessions, they come from disciplined listening.
When you consistently centralize customer voice, identify recurring problems, prioritize using impact frameworks, validate with data, and close the loop, your roadmap becomes grounded in reality. And when your product reflects real customer friction and real customer goals, growth becomes less accidental and more predictable.
Customer feedback isn’t a report card. It’s direction. Use it accordingly.
Turn customer feedback into a roadmap that drives growth, retention, and smarter product decisions.
Overview:
Unwind, connect, and trade insights with the best in customer marketing. Join Deeto for an exclusive happy hour during the Customer Marketing Alliance event in New York, designed for the customer marketing and advocacy professionals who turn customer truth into business impact.
Why Attend:
This is your chance to meet with peers who understand what it takes to scale customer evidence, surface the insights that matter, and drive programs that actually influence revenue. Come ready to connect with the people shaping what customer marketing looks like next.
What to Expect:
Date: Tuesday, March 10, 2026
Time: 5:30 PM – 7:30 PM ET
Location: Lolita, 45 West 45th Street, New York, NY 10036
Join Deeto for an exclusive happy hour during the Customer Marketing Alliance event in New York.
Overview:
Unwind, connect, and trade insights with the best in product marketing. Join Deeto for an exclusive happy hour during the Product Marketing Alliance event in New York, designed for the leaders shaping how customer voice shows up in messaging, sales, and strategy.
Why Attend:
This is your chance to connect with fellow PMMs, share what's actually working, and have the conversations that don't happen in a conference room. Whether you're scaling customer evidence, closing the activation gap, or figuring out how to make win/loss insights actually land with your team, you'll find people solving the same problems in the room.
What to Expect:
Date: Thursday, March 12, 2026
Time: 5:30 PM – 7:30 PM PT
Location: Lolita, 45 West 45th Street, New York, NY 10036
Join Deeto for an exclusive happy hour during the Product Marketing Alliance event in New York.
Understanding why deals are won or lost is one of the most strategic advantages a B2B team can have. Too often, teams rely on fragmented CRM notes, surveys, or internal opinions which causes insights to arrive when it’s too late to change outcomes.
Win/loss analysis is the process of capturing and interpreting buyer feedback to reveal what truly drives purchase decisions. When done right, it turns authentic customer voice into patterns you can act on across sales, marketing, product, and leadership.
At its core, win/loss analysis is the systematic effort to learn why customers choose you, choose competitors, or abandon decisions altogether. It focuses on real buyer reasoning instead of internal assumptions. Historically, teams treated win/loss analysis as a periodic report. These reports contain interesting insights, but are often not acted upon or are forgotten about over time. Today’s best-in-class organizations make win/loss analyses a continuous, integrated part of their go-to-market process.
Solutions like Deeto’s continuous win/loss insights trigger AI-led buyer interviews for every closed deal (won or lost) which surfaces decision drivers, objections, and competitor comparisons while insights are still actionable. Automating the process removes friction, making continuous win/loss analysis scalable and consistent.
Traditional methods of win/loss analysis typically rely on surveys or consultant-led programs that produce static summaries. These insights are often siloed into decks or spreadsheets and delivered too late to impact decisions. Even when insights are gleaned, they often fail to connect to real customer reasoning. This creates a recurring problem: teams are watching patterns from months ago instead of reacting to what matters now in active deals.
Strong win/loss analysis isn’t just about collecting feedback. It’s about building a repeatable system that turns buyer decisions into operational insight.
An effective win/loss program includes three foundational components:
Win rate and win-loss ratio provide the starting point. They tell you what’s happening across your pipeline including which segments convert, where performance shifts, and how outcomes trend over time. However, metrics alone are incomplete since they will show patterns but not the reasoning behind them. This is why it’s important to connect the win-loss ratio with other foundational components such as direct buyer feedback and cross-functional alignment.
The most critical component of a win/loss program is authentic customer voice. This means looking at structured interviews or surveys conducted close to the deal outcome. This type of customer research should include:
Without direct buyer input, teams default to internal narratives. With it, they uncover real decision drivers. Continuous, AI-led interview workflows make this scalable and ensure that every deal generates meaningful signals, not just anecdotal commentary.
Win/loss analysis only creates advantage when insights move beyond sales. Findings should inform your marketing, sales, product and leadership strategies. The marketing team can use findings for messaging and positioning, the sales team now has competitive enablement, the product team can prioritize their roadmap, and leadership can set strategic plans for the company. When buyer insights are centralized and shared across teams, organizations stop operating in silos and start operating on shared customer truth. That alignment is what turns insight into growth.
Here’s a practical framework teams use when building a modern win/loss analysis program:
Before collecting feedback, define the strategic questions you need answers to. This will ensure insight collection is purpose-driven rather than just data accumulation. These questions might include:
Instead of internal summaries or sales rep recollections, gather feedback directly from buyers. AI-supported interviews can elicit nuanced reasoning, surface competitor perceptions, and reveal what nearly changed the outcome of the decision. This authentic buyer voice becomes the basis of true understanding.
Once buyer responses are collected, analyze them for recurring themes such as:
AI and centralized knowledge tools make it easy to spot patterns that matter to your business.
Great win/loss analysis doesn’t stay locked in a spreadsheet. It gets surfaced in places teams already work, from CRM dashboards to messaging playbooks. When insights are shared across the organization, they start to influence larger-scale strategy and execution. A unified and insights-driven strategy across the entire organization will always be stronger than changes made only within your silo.
Not all win/loss programs create advantage, but the difference isn’t whether or not feedback is collected, it’s how intentionally the process is designed and operationalized.
Here are the best practices that separate surface-level reporting from strategic insight.
Timing matters.
Buyer memory fades quickly, and reasoning evolves after the fact due to bias, new knowledge, or simply forgetfulness. Ensure that you capture insights within 30–60 days of a closed deal while context is still clear and candid. The closer you are to the decision moment, the more accurate the signal will be.
It’s tempting to focus only on losses, but wins often reveal hidden weaknesses too. Analyze both wins and losses to find out concessions you made, risks the buyer tolerated, gaps that could cost you next time, and other important decision-making factors.
Remember that no decisions are also a decision, and they are just as important. These unresolved decisions surface friction in urgency, value clarity, or stakeholder alignment. A complete program compares all three types of decisions and gleans insights from each.
3. Use Neutral, Structured Interviews
Buyers are more honest when they don’t feel like they’re defending their choice or being resold. Structured, neutral interviews can uncover real competitive perceptions, unspoken objections, internal political dynamics, and decision drivers beyond feature comparison. The goal isn’t to validate your product or value, it’s to get the most authentic customer voice to ensure that you’re seeing yourself through your customer’s point of view.
One loud piece of feedback shouldn’t reshape your roadmap. Win/loss analysis becomes powerful when insights are aggregated and structured across deals. Recurring themes should guide decisions rather than singular comments. Patterns compound over time, so having a continuous program will always outperform one-off projects.
5. Connect Insights to Actionable Workflows
If findings live in a slide deck, they get forgotten about. If they live inside the tools teams already use, they influence behavior. Make sure your insights are easily accessible via CRM dashboards, enablement materials, messaging frameworks, and you’ll be one step closer to an automated and continuous workflow.
Markets shift. Competitors evolve. Buyer priorities change.
When every deal contributes insight, organizations adapt faster and sell with greater confidence. Instead of retrospective analyses that take time to generate and review, ongoing analyses are quicker, more efficient, and give more timely learnings for your company to operationalize.
7. Share Findings Cross-Functionally
Win/loss insights should be visible to:
When everyone works from the same customer truth, alignment accelerates execution.
Even well-intentioned teams can fall into patterns that weaken impact. Instead of relying on internal assumptions, tune in to customer voice. Instead of delaying insight delivery until it’s too late to act, make your process continuous and ongoing. Instead of keeping insight siloed and disconnected from execution, share it across teams and in easily-accessible channels and workflows. True win/loss analysis is continuous, contextualized, and connected.
No. Win rate measures outcomes. Win/loss analysis explains why those outcomes occurred by examining customer reasoning and themes across deals.
Successful teams treat win/loss feedback as a continuous process, capturing findings on every deal to see patterns emerge in real time.
Ownership varies, but it must involve cross-functional stakeholders from sales leaders to product marketers to ensure insights are shared and acted on.
Win/loss analysis remains one of the most powerful levers for competitive growth if you approach it correctly. When buyer voice is continuous, structured, and embedded into everyday workflows, teams move beyond reactive reporting and into proactive strategy.
The challenge isn’t collecting feedback, it’s operationalizing it. How do you turn individual interviews into structured patterns, ensure every deal contributes signal, and make insights visible across sales, marketing, product, and leadership? That’s where platforms like Deeto play a role. By automatically capturing buyer feedback on every closed deal and organizing it into actionable, cross-functional intelligence, Deeto helps teams move from occasional win/loss projects to continuous customer learning.
When win/loss analysis becomes part of how your organization operates instead of something you review quarterly, customer voice stops being a report and starts becoming a growth advantage.
Check out this webinar to learn more about win/loss analysis: Webinar: Why You’re Really Winning and Losing Deals
Learn how win/loss analysis uncovers real buyer decision drivers and turns customer voice into actionable insight.
How much do you really know about the customers who use your product? Getting customers to use your product without understanding them is like navigating without a map. You might move forward, but you’re guessing at every turn. Customer research isn’t a side project. It's the infrastructure behind product-market fit, retention, and real growth. The difference between teams that collect feedback and teams that win is what they do with it. This guide covers why customer research is foundational and how to do customer research that’s not just insightful, but connected to the decisions that move your business forward.
Customer research is the structured process of capturing customer voice, including needs, motivations, friction points, and language and connecting it to decisions across product, marketing, and growth. A one-size-fits-all approach rarely works. Your target audience may differ from the customers who actually engage with your product, and research helps reveal that gap. With clear insights, you can make better product, marketing, and business decisions that are grounded in reality rather than assumptions.
Start by asking yourself what problem you are trying to solve. Are you trying to understand why customers don’t return? Do you want to refine marketing messaging? Clear objectives help you focus on the research that matters and maximize your return on effort. Without them, it’s easy to end up down a rabbit hole of customer intelligence that doesn’t actually solve the problem at hand.
Do you have a target audience or buyer persona in mind? Create a list of customer segments and prioritize them. If you don’t have a persona yet, now is the time to create one. Personas make research questions specific, contextual, and strategic. Include role and responsibilities, goals and success metrics, challenges and pain points, buying triggers, objections, decision-making processes, and the language they use to describe problems. With this context, your research will be sharper, and the insights far more useful.
There are two main types of customer research: qualitative and quantitative. Qualitative research uncovers the “why” behind behavior through interviews, focus groups, open-ended surveys, and observation. Quantitative research focuses on patterns and scale, using analytics, larger surveys, polls, or experimental methods like A/B testing. Understanding why customers churn may require qualitative research, while validating how widespread a problem is often requires quantitative research. The strongest research combines both: qualitative to understand the “why” and quantitative to measure the “how often.”
Research is only as good as the questions you ask and the people you ask them to. Strong research requires honesty. That means asking open, neutral questions and resisting the urge to validate assumptions. Instead of asking, “What do you like about our product?” try “What problem were you trying to solve when you started looking?” Instead of “Would you recommend us?” ask “Who would this not be a good fit for?” Speak with a mix of recent buyers, long-term customers, churned accounts, and lost deals. Patterns become clear when perspectives are compared. Capture feedback exactly as it’s given. The words customers use are often more valuable than summarized notes.
Analysis is where research becomes actionable. Look for recurring themes in your data: which problems come up repeatedly, what language customers use to describe value, where frustrations cluster, and what nearly prevented a purchase. Then anchor these insights to business outcomes. Every insight should inform a decision, whether it's messaging and conversion optimization, retention or product expansion. Prioritize feedback from high-value segments or critical customer groups, as differences between groups are often more revealing than averages.
Identifying patterns is only half the work. The other half is embedding what you’ve learned into the way the company runs. If customers describe value in a specific way, that language should appear in messaging. If churn risks follow a pattern, onboarding or renewal processes should adapt. If objections repeat in sales cycles, enablement should evolve. Insights become powerful only when customer voice drives actions, not when it sits in a slide deck.
This is where many teams stall. They capture strong signals but lack a connected system to route those signals to the people and workflows that need them. The companies that close this gap treat customer voice not as a report, but as an operating layer that shapes decisions continuously.
Customer needs don’t stand still, and your research shouldn’t either. Too many teams treat research as a campaign: something to do before a launch, after a churn spike, or when positioning feels off. The strongest companies treat research as a rhythm.
This doesn’t mean constant surveys or endless interviews. It means establishing a deliberate cadence that matches how your business evolves. Some research should be ongoing, like regular interviews across segments, continuous capture of sales and support signals, and tracking shifts in language and expectations. Other research should be milestone-driven, such as before entering a new market, ahead of a major product launch, or when retention patterns shift.
The goal isn’t more feedback. It’s building a living system where customer signals continuously inform execution. When research becomes rhythmic, patterns get clearer, decisions get faster, and alignment gets easier. Instead of rediscovering your customers every quarter, you evolve alongside them.
Structure the conversation around moments that matter rather than general opinions.
Every question should tie back to a business lever, whether messaging, conversion optimization, onboarding, or retention. The more specific the question, the clearer the answers.
Customer research doesn’t have to be heavy, slow, or disconnected from execution. When customer voice is structured, searchable, and embedded in workflows, it becomes a competitive advantage, not a project. Deeto helps teams turn scattered feedback into connected customer intelligence that informs decisions across marketing, sales, and product. Insights stop being static reports and start becoming the operating system for growth.
If you’re looking to make customer research a continuous part of how your company grows, explore how Deeto can help.
Turn customer research into action with 7 clear steps to capture voice and drive smarter growth decisions.
Overview:
Most teams don't lose deals because they lack data. They lose because their understanding of why is delayed, incomplete, or already outdated by the time it's reviewed. In this session, we'll explore how buying behavior, competitive dynamics, and deal momentum shift in real time and why traditional win-loss programs can't keep up.
Instead of treating win-loss as a retrospective exercise, this webinar shows how AI-driven listening turns every buyer interaction into a continuous learning system that evolves as the market evolves.
You’ll learn:
Date: Thursday, February 26, 2026
Time: 9:00 AM PT / 12:00 PM ET
Location: On-demand virtual event (Link sent upon registration)
Speakers:
Shawnna Sumaoang, CMO, Deeto
eams don't lose deals because they lack data. They lose because their understanding of why comes too late.
Overview:
Win-loss analysis reveals why deals close or fall through, but manual methods can't keep pace with modern buying journeys. When 70% of B2B decisions happen before a rep is involved, relying on sales notes alone means missing the full story. This guide shows you how AI-driven video and voice interviews transform win-loss from post-mortem to proactive intelligence.
Spotlight:
Inside, you'll find a practical framework for revenue teams who want to capture authentic buyer insight at scale. Learn how AI-powered interviews replace slow, consultant-led processes with continuous feedback loops that surface themes, predict outcomes, and guide strategy in real time. See how one B2B company improved win rates by 27% after replacing manual analysis with AI-driven intelligence.
What to Expect:
Why It Matters:
Buyers make decisions faster than ever, often without ever speaking to sales. Win-loss programs that depend on reps' memories or quarterly consultant reports arrive too late to matter. When teams use AI to capture authentic buyer voice continuously, they don't just understand what happened, they also predict what's next and act with confidence.
Download the guide and turn win-loss into the continuous buyer intelligence that drives sharper positioning, faster cycles, and higher win rates.
This guide shows you how AI-driven interviews transform win-loss from manual post-mortems into real-time buyer insight.
See how Deeto helps you turn customer voice into a GTM advantage.
