By
Kate O'Keeffe
November 18, 2025
•
min read

Across every industry, teams are running into the same brick wall. The market is moving faster than the insight systems built to understand it.
Leaders are launching products that look airtight on paper, only to watch them stall once they hit real buyers.
The cost is enormous. Over 60 percent of launches miss their first-year targets, and most CMOs say they lack the real-time insight needed to steer confidently through volatility. Customer expectations shift weekly. Teams cannot afford slow cycles, partial signals, or guesswork disguised as research.
That is where real-time behavior insight reshapes the entire equation. These insights are a result of behavior-trained models that learn directly from real market interactions, your own first-party data, and the results of live experiments.
Once this becomes part of your insight workflow, three major improvements follow—and they change everything about how organizations decide, align, and move.
For decades, leaders relied on surveys, panels, and focus groups. These methods capture attitudes, not decisions. They tell you how people feel in controlled settings, not how they act when money, context, and trade-offs are real.
Behavior-trained synthetic personas replace those proxies with a private predictive model built entirely on real behavior. You can ask your ideal customer anything, test a concept, validate pricing, or run messaging comparisons, and get a read that reflects actual decision patterns.
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This shifts the insight process from hypothetical to grounded. From “what if” to “what will.”
Seventy-two percent of organizations cite slow insight cycles as their top bottleneck. Teams wait weeks for answers they needed last Monday. Research becomes a queue. Leaders make calls without updated data because the alternative is waiting.
Synthetic personas remove the bottleneck. Every team can access insight on demand. A pricing question that once required a multi-week study is now resolved in a morning, because teams can interact with the avatar to get the information they need (and in natural language). A campaign angle that once required multiple rounds of testing can be validated before lunch.
Faster cycles mean more iterations, sharper ideas, and decisions made with current market truth rather than outdated recall.
Decision-making often stalls because leaders argue from experience, theory, or gut. Without a shared evidence base, teams fall into opinion battles that drag on for weeks and drain momentum.
Leaders can finally rely on a shared source of truth that is both fast and defensible. You can ask the persona, explore responses, and see how real audience behavior translates into predicted outcomes. This creates alignment grounded in evidence, not argument.
In the end, riffing with a synthetic persona on the heated internal debates leads to faster positioning decisions, easier decisions on product priorities, quick creative validation, and faster revenue decisions.
These personas are not generic, built off of public LLMs like Gemini or ChatGPT. They are trained on your real in-market data and your first-party inputs. Each test, each question, and each interaction strengthens their predictive accuracy. Over time, they become a proprietary behavioral asset that no competitor can replicate.
This is not a model that guesses what your customer might do. Instead , it's an engine trained on what your customers already do.
“Every brand wants to be customer-centric. This is a world-first that confidently brings that ambition to life. You can now hold a real conversation with an AI persona that thinks, talks and reacts like a customer, trained solely on verified behavioural data.” —Sudeep Gohil, Partner in Charge - Brand & Marketing, KPMG
The era of making high-stakes decisions with low-confidence data is ending. If you own GTM, product, brand, or growth, and you are tired of committing budget against instinct or outdated insight, this is your new advantage.
Behavior-trained synthetic personas let you pressure-test strategy before you spend, see how real buyers will respond, and move with speed and certainty.
If you want to explore how this becomes a strategic capability for your 2026 roadmap, we invite you to request a private briefing. This is not a product demo. It is a conversation about rewiring how your organization learns, decides, and grows.

Across every industry, teams are running into the same brick wall. The market is moving faster than the insight systems built to understand it.
Leaders are launching products that look airtight on paper, only to watch them stall once they hit real buyers.
The cost is enormous. Over 60 percent of launches miss their first-year targets, and most CMOs say they lack the real-time insight needed to steer confidently through volatility. Customer expectations shift weekly. Teams cannot afford slow cycles, partial signals, or guesswork disguised as research.
That is where real-time behavior insight reshapes the entire equation. These insights are a result of behavior-trained models that learn directly from real market interactions, your own first-party data, and the results of live experiments.
Once this becomes part of your insight workflow, three major improvements follow—and they change everything about how organizations decide, align, and move.
For decades, leaders relied on surveys, panels, and focus groups. These methods capture attitudes, not decisions. They tell you how people feel in controlled settings, not how they act when money, context, and trade-offs are real.
Behavior-trained synthetic personas replace those proxies with a private predictive model built entirely on real behavior. You can ask your ideal customer anything, test a concept, validate pricing, or run messaging comparisons, and get a read that reflects actual decision patterns.
.png)
This shifts the insight process from hypothetical to grounded. From “what if” to “what will.”
Seventy-two percent of organizations cite slow insight cycles as their top bottleneck. Teams wait weeks for answers they needed last Monday. Research becomes a queue. Leaders make calls without updated data because the alternative is waiting.
Synthetic personas remove the bottleneck. Every team can access insight on demand. A pricing question that once required a multi-week study is now resolved in a morning, because teams can interact with the avatar to get the information they need (and in natural language). A campaign angle that once required multiple rounds of testing can be validated before lunch.
Faster cycles mean more iterations, sharper ideas, and decisions made with current market truth rather than outdated recall.
Decision-making often stalls because leaders argue from experience, theory, or gut. Without a shared evidence base, teams fall into opinion battles that drag on for weeks and drain momentum.
Leaders can finally rely on a shared source of truth that is both fast and defensible. You can ask the persona, explore responses, and see how real audience behavior translates into predicted outcomes. This creates alignment grounded in evidence, not argument.
In the end, riffing with a synthetic persona on the heated internal debates leads to faster positioning decisions, easier decisions on product priorities, quick creative validation, and faster revenue decisions.
These personas are not generic, built off of public LLMs like Gemini or ChatGPT. They are trained on your real in-market data and your first-party inputs. Each test, each question, and each interaction strengthens their predictive accuracy. Over time, they become a proprietary behavioral asset that no competitor can replicate.
This is not a model that guesses what your customer might do. Instead , it's an engine trained on what your customers already do.
“Every brand wants to be customer-centric. This is a world-first that confidently brings that ambition to life. You can now hold a real conversation with an AI persona that thinks, talks and reacts like a customer, trained solely on verified behavioural data.” —Sudeep Gohil, Partner in Charge - Brand & Marketing, KPMG
The era of making high-stakes decisions with low-confidence data is ending. If you own GTM, product, brand, or growth, and you are tired of committing budget against instinct or outdated insight, this is your new advantage.
Behavior-trained synthetic personas let you pressure-test strategy before you spend, see how real buyers will respond, and move with speed and certainty.
If you want to explore how this becomes a strategic capability for your 2026 roadmap, we invite you to request a private briefing. This is not a product demo. It is a conversation about rewiring how your organization learns, decides, and grows.