Remarkety uses ecommerce behaviour and customer data to drive email and SMS marketing automation. Strawberry can inspect the segment and real-time signal behind a campaign. It can compare automation results with customer response, spot a risky offer or frequency decision, and prepare the marketing review before another message goes out.
01
Check the behaviour behind the automation.
A browse event, cart event, or purchase history can be useful context only when the qualifying rule still matches the store’s current catalogue and offer strategy. Strawberry can examine the visible Remarkety automation from signal to send, making stale logic easier to catch.
02
Read segmentation as a customer promise.
A segment is not just a convenient filter; it determines who receives a price, recommendation, or reminder and who is deliberately left out. Strawberry can prepare a segment review that shows the behavioural logic and the commercial consequence of changing it.
03
Test recommendations against the store context.
A product recommendation can be commercially useful or deeply wrong if availability, prior purchase, and promotion rules are not considered together. Strawberry can collect the visible recommendation setup and flag the questions a merchant should answer before scaling it.
04
Make the weekend send review a real control point.
Thursday is early enough to correct a campaign before weekend browsing and order volume turn a flawed automation into thousands of messages. The output should identify decisions for the marketer, not trigger a send on its own.
Remarkety Strawberry