mode: guessing | mode: simulating

Stop Paying the Market to
Find Mistakes in Your Messaging

Launching a campaign to "see how it converts" is the most expensive way to learn. Simulate how your buying committee interprets your assets and where they block your pipeline before you spend the budget.

whyuser.ai/simulation/active
Input Asset
landing-page-v3.html
85 KB • Uploaded 2m ago
Ingested & Parsed
Active Simulation
STRESS TESTING...
Champion
VETO DETECTED
Economic Buyer
The Skeptic
"This page lacks a clear ROI calculation. I cannot justify this budget."
Tech Lead

14:02:22 INFO Loading context 'Enterprise_SaaS_Benchmarks'...

14:02:23 INFO Simulating 5 personas (High Motivation, High Ability)...

14:02:24 WARN Persona[CFO] triggered objection ID: #PRICE_OBSCURITY

14:02:25 CRIT Decision Reached: NO_GO. Confidence: 94%

The Validation Gap

You Are Validating Against the Wrong People

You currently validate $50k campaigns in a Slack channel or a Zoom meeting. That is a dangerous echo chamber.

  • The "Internal" Trap

    Your PMMs and Sales reps want the campaign to succeed. They know the product too well to see the confusion.

  • The Invisible Blockers

    Deals are killed by a skeptical CFO who sees no ROI, or a Technical Evaluator who can't find Integration docs.

Internal Review
PMM
VP
Sales
"Looks amazing to me!"
The Real World
Skeptical Buyer
Status: Disengaged
"Confusing value prop. Abandon page."
Adversarial Simulation

Don't Ask for Feedback.
Run a Stress Test.

WhyUser creates 'Digital Twins' of your Buying Committee. We don't ask if they 'like' your asset. We simulate their evaluations.

1

Model

We ingest your data to build high-fidelity "Digital Twins" of your buying committee. These are not generic personas.

2

Stress Test

Our agents act as an adversarial "Red Team." We simulate the conflict between the CFO (Budget) and the Champion (Growth).

3

Diagnose

We don't just give a score. We provide the Causal Trace and the "inner monologues" of why the deal died.

Committee_Simulation_Hub
TARGET ASSET
Live Persona Feedback
[CHAMPION] ✔ PASS
"Value prop is clear. I can sell this."
[CFO] ✖ VETO TRIGGERED

> "Pricing is obscured."

> "No self-serve option found. Assuming high friction. Closing tab."

[TECH_LEAD] ⚠ WARN
"Searching for API docs... Link not found in nav."
The Modern GTM Stack

Stop Testing with Real Budget

Your current workflow skips the most critical step. WhyUser acts as the Staging Environment for your revenue campaigns.

1. Build

Figma / G-Docs

Creation & Copywriting

2. Review

Slack / Zoom

Internal Alignment

ECHO CHAMBER
The New Standard

3. Simulate

WhyUser Engine

Pre-Flight Risk Check &
Adversarial Stress Test

4. Deploy

HubSpot / Ads

Safe Deployment

Simulation Workflow

From Unstructured Data to
Structured Evidence

STEP 01

Ingest Your Reality

> Parsing Gong & CRM...
> Synthesizing "Digital Twins"...
> Ground Truth Established

STEP 02
Champ
CFO

Stress Test

> Running "Adversarial Mode"...
> CONFLICT DETECTED
> CFO blocked purchase.

STEP 03
Fix-It Playbook
Add ROI Calc
DE-RISKED

Fix & Launch

> Generating Evidence...
> Friction Resolved.
> Ready for Launch.

Start Your Pre-Flight Check

No integration required for first run

Ground Truth Creation

We Don't "Imagine" Your Buyer.
We Reverse Engineer Them.

WhyUser ingests your messy, unstructured reality like call recordings, sales notes, and website data to synthesize a high-fidelity Customer Buying Committees.

Input: Your Reality

Sales Conversations

Ingesting .mp3 / Gong API...

Deal History

Parsing Salesforce / HubSpot...

Market Signals

Scraping Competitor & Tech...

Synthesis
Neuro-Symbolic
Behavioral Mapping
Conflict Modeling
Output: The Buying Committee
👨‍💼

Economic Buyer

RISK AVERSE
Trait: Loss Aversion 92% Match
👩‍💻

Tech Evaluator

SKEPTICAL
Trait: Implementation Friction 88% Match
🚀

The Champion

ASPIRATIONAL
Trait: Political Capital 75% Match
The Core Engine

Generic AI is a Creative Writer. WhyUser is a Neuro-Symbolic Causal Simulator.

Generic AI optimizes for plausibility. WhyUser optimizes for ground truth using neuro-symbolic reasoning and semantic causal inferencing.

  • The Trap: Probabilistic "Guessing"

    LLMs will invent a persona's reaction just to complete a sentence. They don't know why a buyer says no.

  • The Solution: Causal Certainty

    We use Finite State Machines and Cause-and-Effect chains to generate an auditable trace of the exact friction point that blocked the pipeline.

Standard LLM
🎲
Probabilistic Generation
mode: creative_writing
INPUT: "What does the CFO think?"
OUTPUT: "The CFO would likely appreciate the cost savings..." (Hallucinated Opinion)
WhyUser Engine
⚙️
Causal Logic Tree
mode: deterministic_causal_trace
IF Persona == Economic_Buyer
AND ROI_Calculator == Missing
AND Risk_Tolerance == Low
THEN Action: ABANDON_PAGE (Confidence: 99%)
The Payoff

Don't Launch on Hope. Launch on Proof.

Turn Your Ad Spend Into a Calculated Investment.

1. Budget Insurance

Stop launching campaigns that miss the mark. Identify friction in your assets before you deploy capital.

2. Pipeline Quality

End the "blame game". Get Sales buy-in by proving your messaging resonates before leads hit the CRM.

3. 50x Launch Velocity

A/B testing takes weeks. Simulation takes minutes. Iterate 50 times in the lab overnight.

Pre-Flight Risk Report
PRE-FLIGHT: PASS
Risk Exposure
0%
▼ 100% from Baseline
Lead Quality
98%
Sales Accepted
Launch Velocity
50x Faster
The Methodology Gap

Current Testing Is Leaving You Exposed.

Marketing teams test extensively. But current methods either cost too much, arrive too late, or miss what matters. WhyUser is the only method that is Pre-Launch, Adversarial, and Causal.

Method The Flaw The WhyUser Advantage
Internal Review The Echo Chamber. Team knows product too well. Adversarial Simulation. Simulates the cold buyer.
A/B Testing The "Pay to Fail" Tax. Must buy traffic to learn. Stress Testing. Catch messaging "failures" for $0.
User Panels The Gap. People say what they like, don't act. Behavioral Simulation. Models decision pressures.
Win/Loss Analysis The Autopsy. You learn 3 months too late. The Pre-Flight Check. Identify frictions before you launch.