Weeks between two visits
At your place, three weeks of silence mean nothing.
When somebody comes back every six weeks, you cannot tell from memory who has drifted: an absence has to run twice as long before it means anything. Kanz measures the gap between each person's own visits and warns you when it is theirs that has broken, not when a calendar says so.
Why a single threshold is always wrong somewhere
Thirty days of silence is an emergency in a business people walk into every morning, and an ordinary Tuesday in one they visit every couple of months.
So a single rule has to be wrong about one of them. Either it pesters the first one's customers for nothing, or it lets the second one's walk away without ever saying a word.
How one person's rhythm is worked out
Kanz takes the gaps between that person's visits and keeps the median, never the mean. One customer away for four months would drag a mean far enough that a weekly regular still looks healthy six weeks after they stopped.
It takes 4 visits, which is three gaps, before that rhythm is called their own. With one gap you have a coincidence; with two, a one-off can no longer outvote the pattern.
From that number Kanz derives two dates: at risk at around one and a half times the gap, dormant at around three times it.
Before the fourth visit
Under 4 visits Kanz does not go quiet, it changes source. It looks at what your other customers who signed up around the same time do, and failing that it uses the usual rhythm for that kind of business. Both answers are marked probable and never measured, in the panel and in the agent's own explanations.
One case is worth naming: the person who came once and never came back. They are not filed under new customers forever; past a grace period proportional to the expected rhythm, they join the same machinery as everyone else.
The calculation, with its real numbers
These two columns are not hand-written examples. They are computed as the page renders, by the function that actually classifies your customers.
| Usual gap | At risk after | Dormant after |
|---|---|---|
| 7 days | 11 days | 25 days |
| 21 days | 32 days | 63 days |
| 42 days | 63 days | 126 days |
| 60 days | 90 days | 180 days |
Those two dates are not a dial you set. They come from that person's own rhythm. What you do set is the hours a message may go out in, and how often anyone can be written to.
What happens once somebody is flagged
The agent drafts the message, picks the hour and waits for your go-ahead. That is what ships. You can hand it the simple cases, but you have to decide that: it never happens on its own.
Sending hours are your business's hours, not a server's, and somebody who has opted out receives nothing, whatever you ask for.
This page describes what Kanz does, not what other businesses got out of it. There is no testimonial here, no average and no percentage, because there is not yet an honest one to publish. The only numbers are the prices from the price list and the thresholds the detection rule computes: both can be redone by hand.
What people ask us most.
- How many visits before Kanz knows somebody?
- Four. Four visits make three gaps, and three gaps are the minimum for a median to mean anything. Below that Kanz still gives an estimate, but it shows it as probable rather than measured.
- What about somebody who came in only once?
- They are treated as a new customer for a grace period proportional to the expected rhythm, then they join the same machinery as everyone else. The second visit that never came is the most useful moment in the product, so it is not set aside.
- My cycle is longer than thirty days, and the trial is thirty.
- That is true and worth saying. Kanz learns somebody's rhythm from their visits to you, not from a history you would import. At your place those thirty days mostly go on installing the card and starting to count; the solid signals come after. That is a reason to start early, not to wait.
- Can I set the thresholds myself?
- No, deliberately: they come from each person's own rhythm rather than from a dial. What you do set is the hours a message may go out in and how often the same person can be contacted.
Which one sounds like you?
Each one answers the question that situation actually raises, and ends with a single action, the one that makes sense there.
Start by counting your active customers.
An active customer is somebody scanned at your counter at least once in the last 90 days. When visits are weeks apart that number is a good deal smaller than your whole list, and it is the one that decides the plan.
The calculator is on the pricing page. There is no account to create to use it.