Your buyers are the study.
Most measurement begins by recruiting a panel of strangers and paying to assemble them. We begin from the people who already chose your product. After they buy, they opt in, set a baseline, and check in over the following weeks. Your customer base becomes a continuous study that refreshes as new buyers arrive, with no panel to source and no per-recruit cost to carry.
Five steps, then it runs itself.
Connect store
Customer invited
Baseline set
Check-ins
Living dashboard
Connect your store
You connect your store once. From then on, a completed order quietly signals us that a new customer is ready to be invited. No list to upload, no manual work per customer.
Your customer gets invited
Shortly after purchase, the customer receives a short message inviting them into the tracking app, with consent captured up front. Because the invitation rides on a purchase they just made, it lands as a welcome, not a cold ask.
They set their baseline
Before the product has had time to do anything, the customer records a starting point: how they feel now, on the measures that matter for your product. That baseline is the reference every later check-in is compared against.
They check in as they go
A few quick check-ins in the first days, while the picture is still forming, then about a minute a week after that. Each one captures how things are moving relative to that starting point, and the app gives back as it goes: the more the customer logs, the more of their own trend it can show them.
You watch the read come back
As customers move through, your dashboard fills in: when response shows up, who responds best, and the cofactors, timing, and dose that travel with it. A living read, refreshed as new customers arrive, not a one-time report.
Almost nothing, on purpose.
Your lift is small on purpose. You connect your store, approve the short set of questions your customers will see, and watch the dashboard. You do not recruit, you do not run the study, and you do not touch individual customer health data. Once it is set up, the measurement runs itself.
- Connect your store, once
- Approve the questions customers see
- Watch the dashboard fill in
- Recruit anyone
- Run the study
- Touch individual health data
A minute a week, their own data back.
Week 4 of 8. Most people who reach week 4 finish all 8. By around week 6 your own pattern reads clearly above the night-to-night swing.
☆ 12-day check-in streakFor the customer, the burden is light and the payoff is personal.
A short baseline, a few quick check-ins in the first days, then about a minute a week. No long surveys, no pressure to buy more.
In return they see their trend against their own starting point, in plain language, the way the screen here shows it.
The more they add, the more the app can show them, so the logging earns its own reward. They stay because it tells them something true about themselves.
Illustrative companion screen, not a real customer result. Example
We compare each customer to themselves.
A star rating compares your customer to nobody. We compare each customer to themselves, before and after, so the change we report is change within that person, not a guess drawn from a crowd of strangers. That within-person comparison is what lets us speak about response with a stated confidence level instead of a shrug, and it is the difference between a number you sensed and a number you can stand behind. See the methodology.
The picture firms up as customers move through.
The dashboard begins to populate as soon as your first customers set baselines and check in. Early reads are directional and carry a lower confidence level. As more customers move through their first weeks, the picture firms up. Response timing is reported as observed in your own customers, never as a promise, because when a customer feels a change is one of the things we are measuring, not assuming.
Trust runs on this, so we keep it plain.
Customers opt in with clear consent before anything is tracked, and they choose to share their experience for research. Individual customer data stays protected and is used only as each customer consents. You receive aggregate results about your customer base, the patterns and the numbers, never a pile of individual health records. Brands own their aggregate results. The individual data stays with the people it belongs to.
Every number carries a stated confidence level.
Every number on your dashboard carries a stated confidence level, so you always know how firmly to lean on it. We report the full response distribution, including the customers who did not respond, because that is what makes the read honest enough to build on. Your product claims stay in your voice. The measurement stays in ours. See what you get.
See the loop run on your own customers.
Start with a responder snapshot, on a slice of your real buyers, and watch the read come back.