The book
Every store at once. Which make money, which lose money, and where the delivery is stuck — without opening fifty pages.
This is the compounding asset — the part of the method that is measured on our own book rather than borrowed. It needs at least 3 stores and 20 observations before any panel will state a conclusion.
Board archetypes
Which kinds of board earn their pins, across every client.
| Archetype | Stores | Boards | Pins | Clicks / pin | Saves / pin |
|---|---|---|---|---|---|
| broad · migrated | 23 | 298 | 82 | 0.24 | 0.02 |
| broad · unknown | 43 | 366 | 204 | 0.1 | 0.02 |
| niche · migrated | 7 | 29 | 29 | 0.62 | 0.14 |
| niche · unknown | 42 | 500 | 161 | 0.07 | 0.04 |
| broad · keyword bank | 1 | 5 | 0 | — | — |
URL reasons
Which justification for picking a page actually produces return, aggregated across the book.
| Reason | Stores | URLs | Cycles | Pins | Clicks / pin |
|---|---|---|---|---|---|
| best performer | 28 | 154 | 96 | 247 | 0.2 |
| new | 27 | 7018 | 80 | 229 | 0.08 |
| seasonal | 1 | 1 | 0 | 0 | — |
| client request | 1 | 1 | 0 | 0 | — |
| stock push | 1 | 1 | 0 | 0 | — |
Daily pin target by account class
What we set against what actually shipped. A target nobody hits is a number, not a plan.
Not enough data to say anything about pin targets yet.
A pattern drawn from one or two stores looks identical to one drawn from forty, right up until somebody acts on it. The numbers are being collected; they are withheld until they mean something.
Seasonal windows
The theoretical six-to-ten weeks against the lead time we actually gave each term.
Not enough data to say anything about seasonal windows yet.
A pattern drawn from one or two stores looks identical to one drawn from forty, right up until somebody acts on it. The numbers are being collected; they are withheld until they mean something.
Shared keyword cache
Volume decays. A term looked up eighteen months ago is a guess wearing a number's clothes.
| Term | Volume | Stores | Age |
|---|---|---|---|
| instagram photos and videos | — | 23 | 45d |
| women's style | 6,020 | 16 | 31d |
| women's bag | 3,606 | 15 | 31d |
| women's top | 647 | 15 | 31d |
| women's shoes | — | 15 | 31d |
| dress | — | 15 | 35d |
| women's jewelry and accessories | — | 14 | 37d |
| casual | 5,292,059 | 13 | 31d |
| 90s | 1,669,598 | 13 | 31d |
| casual outfit | 1,080,391 | 13 | 31d |
| 80s | 1,052,607 | 13 | 31d |
| 1920s | 457,790 | 13 | 31d |
| 70s | — | 13 | 31d |
| women's activewear | 645 | 12 | 31d |
| casual shoes | 59,054 | 11 | 31d |