What’s working, what’s broken, and what to fix, from up to 300 agents built out of your buyers’ own words. 30 minutes, from a URL.
473 calls, graded HIT or MISS by your team against your own data.
From a URL to a fix list. Review rounds take two weeks.
Every finding traces to a named page and a buyer’s own words.
WhyUser tests a B2B landing page, ad or email before you launch it. 50 to 300 agents, built from your buyers’ own words and each citing its source, report what’s working, what’s broken and what to fix.
Before they meet you: review sites, community threads, competitor complaints, and how all of it shifted over 18 months. After they meet you: call recordings, CRM notes, win/loss reasons.
Six inputs become one agent. Where they disagree, a real buyer’s words beat the AI’s guess.
Freeze a persona to hold a baseline, or leave it live and it rebuilds when new evidence lands. It never drifts on its own.
Most tools need weeks of manual data mapping. WhyUser's Ground Reality ingested our site, social sentiment and customer transcripts in minutes, and it keeps learning.
Every finding names the reader, the line, and the trait that stopped them. Up to 60 agents per role, scored as a chain rather than an average.
The agents are simulated. The evidence behind them is not.
The lines that landed, and which readers they landed with. Keep them when you rewrite.
41 of 60 never scrolled past the hero. 52 of 60 could not answer “what does it cost.”
Ranked by how many agents it unblocks, with the exact element to change.
Every finding traces to its source in Ground Reality. You see why a buyer stopped, not just that they did.
Unedited. One is this homepage. It found our nav hard to scan and our proof thin.
Engineering has staging and sales rehearses the pitch. Marketing goes live, then buys traffic to find out whether the message landed. Why shipping without a rehearsal is malpractice→
“Everyone said yes. Nothing moved. Nobody says why.”
Which reader left, and the proof they wanted.
“Budget pours into a page that was never going to convert.”
Where the ad and the page stop matching.
“One email to three readers wins for none of them.”
The subject and CTA that win, per reader.
“You target last year’s titles and bid against every competitor.”
The titles your content actually fits.
WhyUser gives me the ammunition to make the case internally, to engineering, leadership and sales. It doesn't just say a page is broken, it shows who bounces and what to fix.
No new cycle, no new process. One 30 minute step between review and launch, in-app or via API.
Run the ad, email or page past your buyers. Get what’s working, what’s broken, and what to fix.
You already run Plan → Build → Review → Launch → Measure. WhyUser adds one 30 minute step, so you catch it before launch rather than six weeks after the spend.
Your reviewers and your chatbot know the product and pay attention. Your buyers do neither. Four things turn an opinion into something you can act on. Ask any tool here, including us.
Fix one section and only that section moves, so you know your fix worked. A chatbot writes a new essay every time you ask.
A rival’s comparison page is not a buyer’s words. To a chatbot, both are just text.
Loop a chatbot 30 times and you get one opinion 30 ways.
Every finding graded HIT or MISS, and carried forward. A chatbot has no idea there was a last week.
Each version re-tests only what you changed.
Better you know now than after a procurement cycle.
Your team needs the artifact, not you. We sell directly to your VP of Demand Gen instead.
One or two people decide, so the evidence carries less weight. The math doesn’t work for you yet.
It won't. Come back after the campaign that taught you that.
Tell us about the next campaign you have going live. We reply 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, with campaigns going live in the next 30 days. You can still change them.