Most teams learn what buyers thought only after the spend is committed. Simulate how your buyers and buying committees will interpret assets and where they block your pipeline before you spend budget.
Unlike Internal Reviews (echo chambers), A/B Tests (budget burn), or GenAI (guessing), WhyUser provides Causal Evidence of Friction and Resonance for each member showing exactly how committee dynamics trigger Pipeline Blockers and Acceleration.
Stop learning what doesn't work after you've spent the budget. Find friction in the lab, not in production.
Debug in production, waste budget learning
Internal team reviews and approves
Spend on ads, hope it works
4-6 weeks for statistical significance
CFO couldn't find ROI proof
Find friction pre-launch, fix for $0
Draft landing page or campaign
Test against all 5 buying personas
Missing ROI calculator for CFO
Add ROI calculator, launch with confidence
The old way tests in production where you spend $50K to learn what doesn't work. WhyUser tests in the lab where you spend $0 to find friction, fix it, then deploy with confidence.
Your campaigns are tested internally. But deals die when external skeptics like CFOs, technical evaluators & security teams never see what you approved.
CFOs now demand ROI proof before deployment. The market average shows a breaking point.
spent in GTM to acquire $1.00 of new ARR
Sales rejects most marketing leads. This creates friction between teams and wastes expensive resources.
of marketing leads rejected by sales teams
Buyers research using AI before contacting sales. They form opinions you never track.
of B2B buyers use AI for research, arriving 85% decided
Marketing teams test extensively. But current methods either cost too much, arrive too late, or miss what matters.
| Testing Method | Critical Flaw | WhyUser Difference |
|---|---|---|
| A/B Testing | Testing in production. Must spend $50k+ per variation to learn. | Test in simulation. Zero spend to identify friction. |
| Internal Reviews | Echo chamber. Never simulates the skeptical buyer. | Simulates adversarial buyers grounded in your data. |
| Human Panels | Slow and expensive. $2-5k per test, 5-7 days. | Results in minutes. Unlimited iterations. |
| Heatmaps | Shows what happened, not why. | Reveals causal chains from goal to abandonment. |
| ChatGPT / Custom GPTs | Optimizes for plausibility, not truth. No causal reasoning. | Neuro-symbolic engine. Deterministic causal inference. |
| CABs / Beta Programs | Friendly audiences. Already believe in your product. | Models skeptical prospects comparing you to competitors. |
WhyUser synthesizes ground truth from your customer data, simulates buying committee behavior, and reveals exactly why deals succeed or fail.
Synthesize high-fidelity digital twins from your Gong calls, CRM data, and market intelligence. Not generic personas—models of your actual buyers.
Run assets against the full buying committee. Model adversarial conflict—the CFO vetoing while the Champion advocates. Find where deals actually die.
Receive auditable causal traces. Not opinions or scores. Proof of exactly why a buyer abandoned, linked to source evidence.
WhyUser synthesizes ground truth from multiple data sources to create high-fidelity digital twins of your actual buyers—not generic personas.
Automatically scraped from your website, positioning documents, and brand materials
Analyzed from public reviews, forums, Reddit, and market discussions
Your team's hard-won expertise captured as persona seeds
Extracted from Gong transcripts, CRM notes, and support tickets
High-fidelity buying committee persona
WhyUser scrapes your public presence and analyzes community sentiment. No manual data entry required.
Layer in your team's understanding of buyer pain points, objections, and buying patterns that scale.
Connect Gong, CRM, and support systems to ground personas in actual buyer language and behavior.
Review and refine generated personas. Your edits improve the model for all future simulations.
WhyUser reveals causal chains from buyer goals to final actions. Not correlations. Not scores. Proof of why deals die.
Persona: Economic Buyer (CFO)
Outcome: Abandoned in 8 of 10 simulations
Root Cause: No business case evidence found on landing page. Buyer thought: "Feels like a toy, not a strategic investment."
Evidence traced to: Customer call transcript #247, timestamp 14:32 - "Without TCO data, I can't justify this to the board."
Just as developers never ship code without automated testing, marketing teams can now validate every asset before launch. WhyUser is the pre-flight check for your campaigns.
Landing page, email, sales deck
Test against buying personas
Identify friction, validate fixes
Launch with confidence
Internal reviews, subjective opinions
$50k-$100k committed before any signal
A/B tests, heatmaps show problems after spend
Costly iterations, wasted budget
Design, copy, landing page ready
Test against buying committee in minutes
Causal evidence of what will fail and why
Budget deployed on validated asset
Generic AI optimizes for plausibility. WhyUser optimizes for ground truth using neuro-symbolic reasoning and causal AI.
Probabilistic Opinions
"Review my landing page"
Generic patterns, no context
Sounds good, unverifiable
Deterministic Causal Proof
Gong calls, CRM, market data
Causal reasoning + FSM logic
Traceable to source evidence
Not trained on internet data. Built from your actual customer conversations, CRM records, and market intelligence.
Shows exact cause-and-effect chains. From buyer goal → interaction → thought → action. Fully auditable.
Models adversarial conflict between roles. Simulates when the CFO vetoes while the Champion advocates.
Every simulation and validation improves the model. Builds proprietary cause-and-effect graphs unique to your market.
Get your first GTM simulation report in 48 hours. See exactly why buyers abandon—before you spend a dollar on campaigns.
No credit card required. Report delivered in 48 hours.