You are guessing, and it costs you.
You ship a product you believe in. Then you start guessing. You guess at who it is for in the ad account. You read about a refund on Monday and cannot tell whether the formula missed or the person quit too early. You watch a loyal customer churn and never learn they were two weeks from feeling it. You change the formula and hold your breath. The work you got into this for slowly turns into decisions you make in the dark.
Preview your responder picture in ten seconds.
Pick a category, pick what you want to understand, pick a cohort size. We will mock up the kind of readout you would walk away with. Not a claim to paste, a picture to act on.
Here is your product page, the day after one read.
Yesterday it was a star rating and a soft claim. Today you know who responded, when, and why. Same product, same customers, read honestly.
We do not hand you a number to paste and a seal to slap on. We hand you a living read of your customers.
Your customers get a companion that supports follow-through.
The reads on this page come from an app in your customer's hand. It does more than collect data. It is built to support follow-through through the window where people usually quit, and shows them their own progress. Follow-through is where retention is won or lost, and the companion is built to support it.
You are falling asleep sooner than when you started
About 15 min sooner than your own starting point.
Logging this consistently is what makes your pattern readable. It is a record of what you did, not part of the change shown above.
Baseline at the start, then short check-ins. The source of every read on this page.
Reminders and encouragement through the weeks 6 to 8 window, when people quit just before the effect they would have felt shows up.
Their response reflected against their own baseline, where they started and where they are now. Their own data, not advice on what to take.
A claim you shelve, or understanding that compounds.
The usual study tests a panel of strangers once and hands you a marketing line. We measure your own customers, continuously, and show you who responds, when, and what travels with it.
| A claims study | Rationally Well | |
|---|---|---|
| Who is measured | A panel of matched strangers | Your own customers |
| Your customers | Never contacted | Supported through a companion |
| How often | Once, then it ages | Continuously, refreshed |
| What you get | One average, one claim | Who, when, and why |
| The deliverable | A line for the label, then shelved | A living read you act on |
| The incentive | Designed to produce a sellable claim | Designed to report the result, flattering or not |
A living read, not a one-time certificate.
Concrete deliverables, refreshed as your customers keep reporting.
Cohort response, retention through the first window, and the trend, on your own customers.
Who responds, as named groups with their traits, so you know who to feature and acquire.
What travels with a result: what is taken alongside, baseline status, adherence. The pattern alongside each hit or miss.
Each finding observational, with its confidence level and limits stated plainly.
Why a single average is the wrong unit.
People respond differently to the same nutrient for reasons that are documented in the published literature. We read each customer against their own baseline and report the spread.
Response can depend on where you start.
In a two-year randomized trial, a B-vitamin regimen was associated with a slower rate of brain atrophy, concentrated in people with high baseline homocysteine (about 53% lower rate in that subgroup).
Response can depend on who you are.
In a randomized omega-3 trial, how much reached the brain differed by genotype: the rise in brain EPA was roughly three times greater in people without the APOE4 variant than in carriers.
These are cognition studies. We include them as documented examples that response can vary by baseline and by genotype. They are not evidence about sleep, supplements, or any product on this page. The point is narrow: people differ, and the difference is measurable.
What we won't do.
We help you measure and report real results. We will not promise a share will respond or that the data will flatter you.
If a read comes back unflattering, you get it with its limits intact. The honesty is the point.
Our fee is for honest measurement. We report what we find, whether or not it flatters the product.
Your data, your customers, your brand, yours. Read continuously for as long as it serves you.
The brands this fits.
If a brand you respect lives here, that is the conversation we want.
where retention in the first weeks is the whole economic model.
and an honest responder picture would settle the question.
and want understanding that keeps reading, not a line they already shelved.
that want to know what moved, and for whom, before the market tells them.
If two or three names came to mind, an introduction is the most useful thing you could do.
What brands ask first.
Is this a claims study? +
Do you promise results, or a seal? +
How is this different from testing a panel? +
Is there a medical screener? +
Does the companion coach my customers? Does that change the read? +
What do founding partners lock in? +
Put a number on retention.
You set the improvement you want to model, and we do the math on your own numbers. Prefilled with Example figures, change any field to use yours.
You set this. It is your hypothesis to model, not our promise.