What is a demand signal?
A demand signal is a measurable piece of evidence about real shopper demand for a specific product, drawn entirely from first-party behaviour on the store — product views, add-to-bags, purchases, inventory crossings, and movement relative to a product’s own recent baseline. It is the raw material Flockr reasons over. A signal is observed and computed live; it is never an opinion and never a manually authored badge.
What kinds of demand signal does Flockr track?
At the base are three activity counts — views, add-to-bags and purchases — maintained per product across multiple rolling time windows. On top of these sit inventory state (low-stock and restock crossings), cart activity, category rank position, and derived signals such as momentum, which measures acceleration against a product’s own baseline. For messaging, these are grouped into eleven signal families.
How does a demand signal become a message?
Signals are evaluated against thresholds to confirm there is enough evidence, scored for strength, and then only the strongest qualifying signal for a given page and moment is surfaced. The output is computed live, never authored, never invented. If the evidence is not there, nothing fires — which is precisely what keeps the messaging honest.
Why do demand signals matter?
The signal layer is the substrate the rest of the platform is built on. Lifecycle classification, demand events and attribution all read from the same signals. How many products across the catalogue carry a qualifying signal — demand coverage — sets the ceiling on how much of the store can be messaged truthfully.
See demand signals in the platform
The demand intelligence layer maintains these signals per product, live, and surfaces the strongest one where it counts.