See your campaigns and pages the way your buyers will. Before you launch.
Your champion loves the page. The one who quietly vetoes never tells you. WhyUser shows you which role blocks the deal, what proof was missing, and what to change. Every finding is sourced to your buyers' own words, so you can forward it instead of defending it. Thirty minutes, from a URL.
Across live accounts. Every call graded HIT or MISS by your team against your own data, never by us. See all 473 →
From a URL to a committee verdict. Against review rounds that take weeks. Read a real report →
Every finding traced to a named page and a real buyer’s own words. Nothing is asserted without a source. See a report →
Trusted By
+ NDA design partners
WhyUser is a buying committee simulation that runs before you launch a B2B campaign. Your reviewers know the product, so they read the page as ideal users. Real buyers arrive distracted and skeptical. WhyUser runs at least 30 agents per committee seat, each distracted, skeptical, or ideal, and each built from your sales calls, reviews, and community threads. It finds the silent vetoes, the missing proof, and the bounce risk that internal reviews and AI chatbots miss. Every finding cites its evidence, so you can forward instead of defending it.
Marketing is the only team that opens without a rehearsal.
Your reviewers already understand your page. Your buyers won’t. Engineering has staging. Sales rehearses the pitch. Marketing goes straight to opening night, then buys traffic to find out if the message landed. WhyUser is the rehearsal. It shows who walked away, what proof was missing, and the fix. Why we think shipping without one is malpractice
“Every role approved. The deal still stalled. Nobody says why.”
Committee Simulation
Which buyer role killed it, and the missing proof.
Conflict Graph 02 Wasted spend“Ad budget pours into a page that was never going to convert.”
Ad Campaign Simulation
The ad-to-page gap, caught before you spend.
Kill Sheet 03 Flat sends“One email to three roles wins for none of them.”
Email Campaign Simulation
The subject and CTA that win for each role.
Per-Persona Winner 04 Stale targeting“You target last year’s titles and bid against every competitor.”
Audience Discovery
The roles your content actually fits.
Ranked Title PoolWhyUser gives me the ammunition I need to make the case internally. To engineering. To leadership. To sales. It's not just telling me a page is broken. It's showing me exactly which buyer role bounces, why, and what to fix. That's gold for a lean marketing team.
A verdict you can forward backed with evidence.
Every finding names the role, the line they were reading, and the buyer trait that made them look. That trait was built before your page existed.
The same answer, twice
Re-run the same page and you get the same verdict. Fix one section and only that section moves. So you know whether your fix worked, or whether the tool just had a different day.
The conflict graph
Seven handoffs between five roles. You see which ones snap, and why. A page every role approves can still be dead. An average hides that.
Evidence on every claim
Each finding states its confidence and sample size. Low confidence comes back marked low confidence, not quietly dropped.
Buyers that stay current
Your buyers re-compile from live evidence on every run. When your market moves, they move. Buyers are not files. They are feeds.
A landing page, an ad campaign, an email send, and an audience study. These are the full reports a customer gets. One is our own homepage. It found our nav hard to scan and our proof thin.
One run settles what three meetings argue about.
No new cycle, no new process. WhyUser fills the gap between review and launch with one 30 minute answer. That gap is where silent vetoes slip through today. Run it in-app or via API.
WhyUser · Test
Test the ad, email, or page against the buying committee. See which persona vetoes, what proof is missing, where the bounce risk hides, sourced to real buyer reviews.
You already run Plan → Build → Review → Launch → Measure. WhyUser adds one 30 minute test step. Catch what is broken before launch, not six weeks after the spend.
Your buyers compiled from evidence.
We compile your buyers based on evidence from your site, your customer calls, and community and competitor voice. Buyers are not files. They are feeds. Each one re-compiles from live evidence on every run, so it never drifts. That makes a finding forwardable, not arguable.
Six inputs become one buyer agent, with a role, a mood, and a way of deciding. Every run fields 30 or more per committee seat. You set the number.
Compiled from evidence, before and after they engage.
One buyer compiled from your reviews, calls and community threads. Half of what defines them holds steady and the other half moves every time new evidence lands.
Most tools require weeks of manual data mapping and setup before you can even plan or launch a campaign. WhyUser's 'Ground Reality' onboarding ingested our site, social sentiment, and customer transcripts in minutes, creating a foundation that actually understands our business and users. The platform operates from that understanding instead of relying on prompting. You're not starting from scratch every time you test, and it keeps learning.
Four things a measurement has to do.
Anyone can ask AI what it thinks of a page. Four things turn an opinion into a verdict you can defend. Ask any tool, including us.
Same page in, same answer out.
Fix one section, re-run, and only that section can move. So you know whether your fix worked, or whether the tool just had a different day. A chatbot writes a new essay every time.
Every quote traced to a real page.
Each quote is checked against the page it came from, not taken on trust. And you are told who wrote it. A rival’s comparison page is not a buyer’s words, but to a chatbot both are just text.
Scans, hunts, abandons. Never patient.
Every role reads as a distribution, not a person: distracted, skeptical and ideal, with motivation, familiarity and skill mixed to match the traffic your channel actually sends. Loop a chatbot 30 times and you get one opinion 30 ways.
Your 10th run is better tuned than your 1st.
Every finding is graded HIT or MISS against what actually happened, and the result carries forward. One loud quote stays an outlier until other buyers confirm it. A chatbot has no idea there was a last week.
Lineage and the Evidence Tracker, from one run. Each version re-tests only what you changed. The rest carries forward.
Two layers, not one.
Each role is run across all three behavioral states, with motivation, familiarity and skill mixed to match the buyer population, not one ideal reader.
B2B buyers decide together, so roles are computed as a graph rather than averaged. What one role collects has to answer what the next one vetoes on.
Most methods do the first. Almost none do the second, which is why a page every role approves can still be dead.
Internal review · Buyer panels · A/B testing · Building it yourself
We do not win every row. See all six side by side →
“Can’t we just do this with Claude?”
Keep it for drafting. It is better at that than we are. For a spend decision, no. Claude is the most patient reader alive, and none of your buyers are. And every run with Claude is a first run. It cannot tell you whether your fix worked, or whether it just had a different day.
If any of these are you, save your time.
WhyUser is a poor fit for three groups. Better you know now than after a procurement cycle.
CMOs at 500+ person companies.
Your team needs the artifact, not you. We sell directly to your VP of Demand Gen instead.
B2C, e-commerce, or non-technical SaaS.
Buying committees are shallow here, so the evidence carries less weight. The math doesn't work for you yet.
Marketers who believe more AI throughput will fix conversion.
It won't. Come back after the campaign that taught you that.
Five questions we get every week.
The rest are on the full FAQ, including what WhyUser will not do.
Are these real people?
No, and we will never imply otherwise. The agents are simulated. What is real is the evidence they are built from: your buyers' own words in reviews, community threads and your call transcripts, with every finding traceable to its source. The honest description of a WhyUser output is a grounded hypothesis, not a survey result. If that distinction matters to you, grade us on it. Run a campaign whose ending you already know and see whether the simulation catches what happened.
How is this different from a research panel?
A panel's unit is the individual respondent. It shows your page to forty people separately and returns forty opinions. Those are real humans, which ours are not. What a panel cannot do at any price is put the roles in the same room: it never sees the CFO's veto land on the champion's enthusiasm, because those two were surveyed independently. That chain reaction is what WhyUser models, and the gap is structural rather than a matter of panel size.
What do I need to get started, and how long does a run take?
A public URL is enough to begin. The Ground Reality step reads your site, the public voice of your buyers, and your campaign context, then compiles your committee from that evidence. No prompt writing, no weeks of data mapping, and nothing to install on your side. A run takes about thirty minutes, against review rounds that usually take weeks.
What does it cost?
Annual plans with a credit allowance. Standard is $12,000 a year for 2,400 credits, which is 240 landing page tests. A landing page run is 10 credits, or $50. There is no charge at all while you are a design partner. Full pricing and the credit rates →
Why not just use ChatGPT or Claude?
For drafting and variants, do. For a spend decision, no. A chatbot answers as one voice rather than a committee, reads as the most attentive reader alive when most of your traffic is distracted, gives a different answer each time you ask, and hands you a menu you then filter through your own bias. Your competitors have the same tool and get the same advice from it, so it cannot be a source of differentiation.
Fail in the test.
Win in the market.
Tell us about the next campaign you have going live. We respond within 48 hours.
No charge during the program. Post-program: only if it earns its place in your stack.
One short feedback call with our founder while you are in the program. We use it to guide product direction.
You drive B2B traffic. Campaigns going live in the next 30 days. You can change them.