Testing in Production Testing in the Lab

Simulate Before You Spend.

Stop testing in production. WhyUser simulates how your buyers react to your campaigns and content before launch. Fix bounce risks, bad targeting, and silent vetoes before you buy traffic.

Request an Invitation See it in action

Works With Your Stack

Salesforce
Gong
HubSpot
PDF Drafts
Figma
> The Problem

The Hidden Cost of Launching Blind

Right now, your team validates campaigns by testing in production. You rely on friendly internal reviews, or you spend $50k on ads and wait weeks for data. You are debugging your revenue funnel with live pipeline.

The ICP Trap

Targeting obvious job titles from last year's deals while missing the adjacent buyers who align better with your current content.

The Ad Tax

Burning paid budget and waiting six weeks just to learn your ad hook doesn't convert.

The Hidden Veto

Analytics completely miss the offline executives who evaluate your page and kill deals silently.

> The Simulation Platform

Three Blind Spots. One Lab.

1. Audience Discovery

Target the Right Buyers. Find the Hidden Ones.

Upload a draft and our engine tells you two things: which job titles your content actually resonates with, and which adjacent roles and verticals resonate even stronger. This uncovers pipeline you didn't know existed.

Audience Discovery Matrix
Campaign Simulation Post-Click Funnel
2. Campaign & A/B Simulations

Catch Ad Bounces & Accelerate Testing

Input your ad promise and upload your draft. We simulate a skeptical buyer hunting for that proof on your page. If they can't find it in 5 seconds, they bounce in the lab, not on your dime.

Want to go further? Pit two drafts against each other or run your page against a competitor URL. Get a causal kill sheet showing exactly why one side won in one hour instead of six weeks.

3. Committee Simulations

Fix Silent Vetoes

Deals die when a Technical Decision Maker's doubt reaches the Budget Holder who quietly kills the evaluation. We simulate that chain reaction so you can fix it before it hits your live pipeline.

Committee Physics Graph
> Where We Fit

Staging Environment for Your GTM

Upload your PDFs or Figma files. The engine runs your simulated buyers to detect friction, and hands you a prioritized "Kill Sheet" to fix ad bounces and vetoes before you deploy.

1. Build

Figma / Assets

2. Review

Internal Alignment

3. Simulate

Pre-Flight Validation

4. Deploy

Confident Launch
> Ground Reality

Constructing Your Ground Reality

We don't imagine your buyer. We reverse-engineer them from your actual data footprint to guarantee accuracy.

Company Context

We crawl your site to map structural constraints (e.g., Sales-Led vs. PLG).

Market Intel

We scrape community sentiment and competitor gaps to ground agents in real-world pressure.

Customer Voice

We ingest redacted Gong/CRM transcripts to extract the exact rejection reasons your sales team hears.

Campaign Context

We inject your specific ad promise so the simulated agent has an active, realistic search goal.

> FAQ

Common Questions

Why not just use ChatGPT or Claude?
ChatGPT gives you one opinion. WhyUser gives you hundreds of conflicting buyers simultaneously — the CFO vetoing what the End User approved. Use ChatGPT to draft campaigns, but use WhyUser to simulate the buyer who receives it. We simulate how buyers evaluate your AI drafts to reveal exact friction before you spend a dime.

How is Audience Discovery different from Clay?
Clay is an incredible tool for building contact lists, but it assumes you already know exactly who to target. WhyUser completes the workflow. We reverse-engineer your messaging to uncover the exact hidden job titles that will actually convert. Once we give you a validated persona list, you plug it into Clay to find their emails.

Does this replace live A/B testing?
Live A/B testing tools like Optimizely are excellent for optimizing a live funnel. However, they require burning actual ad budget and waiting weeks for data. WhyUser shifts your testing left. By debugging major conversion killers in our private lab first, your live A/B tests start from a much higher baseline and win faster.

How do you know what my buyers actually care about?
Our platform automatically searches the open web to map your company voice and community sentiment. You can also easily connect your CRM or upload Gong transcripts to inject your proprietary institutional knowledge. This automated data pipeline builds buyer agents that react to your pitch exactly like your real customers do.

Can you simulate enterprise buying committees?
Yes. B2B deals are rarely killed by the End User; they die in the dark funnel when an Economic Buyer silently vetoes the page. We map these exact node conflicts so you can add the missing ROI proof before you launch.

How long does a simulation take?
Waiting for standard B2B web traffic to reach statistical significance takes 4 to 6 weeks. A WhyUser simulation runs hundreds of buyer journeys and generates a prioritized "Kill Sheet" of friction points in minutes.

What inputs do I need to run a test?
You can test anything from a rough Figma mockup or PDF draft to a live, published URL. Just provide the asset, select your target buyer committee, and input the core promise of your ad campaign.

Is my pre-launch strategy secure?
Absolutely. Your drafts, PDFs, and Figma files are strictly isolated within your staging environment.

Why should I trust the simulation results?
We do not ask you to trust a black box. Our engine runs hundreds of buyer journeys per test to achieve statistical significance. We then provide a transparent conflict graph showing exactly which persona vetoed your page and the exact missing proof that caused them to bounce. You see the complete cause and effect.

Do I need engineering help to set this up?
Not at all. WhyUser is built specifically for GTM and Demand Gen leaders. There is no complex coding or IT integration required to run a test. You simply paste a URL or upload a PDF, define your target buyer committee, and the simulation engine handles the heavy lifting.
> Get Started

Fail in the Simulator.
Win in the Market.

The Design Partner Agreement

Running high-fidelity simulations and 1:1 onboarding requires significant compute and engineering resources. We are fully funding this sprint for our early users, which means we must be highly selective.

Our Investment

4 weeks of full platform access to simulate and optimize your campaigns, 100% free.

Your Commitment

A 30-minute feedback call each week directly with our founder to guide product direction.

The Fit

You actively drive B2B traffic (paid or PLG) and want to fix pipeline leaks before launch.