Key Takeaways:
- Clozd’s Dani Talbot at B2BMX 2026 explained that revenue teams miss critical buyer signals when they rely on internal assumptions, and outlined a five-step process to turn customer feedback into business action.
- Talbot positioned AI-powered interviews as a scalable way to gather deeper, more candid buyer insight and deliver usable findings to sales, marketing, and product teams.
The most important signal in go-to-market strategy does not live in dashboards, CRM fields, or sales call recordings alone. It lives with the buyer.
At B2BMX 2026, powered by Advertising Week, Dani Talbot of Clozd, centered her presentation on how many revenue teams missing these signals. In her session, Turning Rich Customer Feedback into Revenue, Talbot argued that companies often build plans around partial information, then wonder why messaging falls flat, deals stall, or churn rises.
Talbot noted that buyers do not always tell sales reps the full truth, survey responses tend to be thin, and internal teams often fill the gaps with guesswork. That is where rich customer feedback changes the picture. It gives marketers, sales leaders, and customer teams direct access to the context behind decisions.
In her session, Talbot walked through a five-step process for turning buyer voice into business action: identify where perspective is missing, choose the perspectives that matter most, select the right listening channel, convert conversations into usable insight, and deliver those insights where teams already work. Running through it all was a key idea— AI-powered interviews now offer a scalable middle ground between depth and reach.
Where Is Your Team Missing Perspective?
Talbot began with a warning against rushing into feedback collection without a clear purpose. “It’s important to be deliberate before you start collecting feedback,” she said, explaining that companies should not gather customer input just because they can; they should start by finding the exact place where clarity is missing.
In practice, that gap often shows up as a stubborn business problem. Why are prospects dropping out after the first call? Why is a new persona not responding to messaging? Why does one region convert better than another? Talbot described these as missing signals, moments when teams know a metric is off but do not know why. Too often, those moments trigger internal debate instead of real answers.
“Oftentimes, this leads to internal speculation,” stated Talbot. Sales may blame pricing, marketing may blame positioning, leadership may blame market conditions. But speculation rarely resolves the issue.
Talbot’s advice was simple and direct: “Go directly to the buyer, ask the buyer those pointed questions.” That shift, from assumption to evidence, is what turns feedback into a revenue tool rather than a reporting exercise.
Which Buyer Perspectives Matter Most?
Once teams know where they lack context, the next step is deciding whose feedback matters most. Talbot stressed that not every voice should carry equal weight in every project. The right audience depends on the business question at hand, and narrowing the field is what makes the findings useful.
“Most people want to understand why they win and why they lose,” she said, but pushed for more precision than a broad win-loss program. A company may need to understand why enterprise deals are slipping, why one buyer segment churns at renewal, or why a new market is responding differently. In each case, the sample should match the strategic problem.
Talbot described this as a kind of “choose your own adventure,” but with discipline. The goal is not to gather as much feedback as possible— it is to gather the right feedback from the right people. That could mean lost prospects in a key segment, recently churned customers, or buyers in a new geography.
“Getting specific, getting really granular in those perspectives that matter most will save a lot of time,” she said. That focus makes it easier to connect findings to action.
What Is The Best Way To Collect Rich Customer Feedback?
Talbot outlined three main ways to listen to buyers—live interviews, AI-powered interviews, and surveys—each with different tradeoffs in depth and scale. Live interviews provide the richest detail, but they take time. Surveys scale, but often produce brief and shallow responses.
The most interesting option, and the one Talbot sees as increasingly important, was AI-powered interviewing. She positioned it as the middle ground between depth and efficiency. Instead of relying on static forms, teams can use adaptive AI interviews that ask follow-up questions when an answer is vague, “drawing out the kind of detail that standard surveys often miss.”
Talbot described a scenario in which a buyer says a competitor was “better.” Rather than stopping there, the AI prompts for specifics: what exactly stood out, what happened in the sales process, and what shaped the choice. In her view, this makes AI interviews far more candid and actionable than many traditional methods.
“AI is enabling us to really extend to be a more scalable solution,” she said.
How Do You Turn Customer Conversations Into Actionable Insights?
Collecting interviews is only the start. “Now we have these insights that our sales leaders, our marketing leaders, our product leaders are going to want,” Talbot said. The challenge is turning dozens or hundreds of conversations into patterns leaders can use.
Her answer was structured analysis: teams should move from transcripts to summaries, from summaries to themes, and from themes to evidence-backed findings. Talbot emphasized that the best feedback programs do not rely on hunches. They surface key quotes, identify repeat issues, and show the reasons behind wins, losses, churn, or stalled deals.
“We’re not guessing. We’re not speculating,” she stated.
That distinction matters for cross-functional credibility. When a marketing leader learns the brand is hard to find, or a product team sees that value was not clear at renewal, they need more than a summary statement. They need the language buyers actually used.
Where Should Customer Insights Be Delivered?
The final step in Talbot’s framework is the one most likely to be overlooked: even strong insights can die in a silo if they are not delivered where people already work.
“It doesn’t really make sense if we’re surfacing all of these insights, but it’s not getting to the hands of the people who need it,” she said.
That means distribution matters as much as discovery. Some leaders may want email summaries; others want dashboards, deal-level reporting, or a chatbot that can answer questions like why the company loses to a specific competitor. Talbot highlighted Slack as a high-value destination, especially for teams that want fast, direct access to buyer signals without logging into another platform.
Talbot offered a clear message for B2B marketers: customer feedback creates value when it is intentional, targeted, and operationalized. Her five-step process she sees as turning a familiar concept into a disciplined system, one that begins with missing perspective and ends with insight in action.
At the center of that system was a modern twist. AI-powered interviews, as Talbot framed them, are not just a new feature. “They are a practical way to scale candid, adaptive feedback without sacrificing depth,” she said.
