Before campaign planning, Strawberry can turn the Faraday scores and segments you select into an audience brief: score movement, unusual traits, validation questions, and the people a team should not target by accident.
01
A score only matters when it changes a real decision.
With Faraday visible in a tab, Strawberry can organise the model scores and customer traits you are reviewing into a decision brief. It helps make the intended audience, evidence, and exclusions clear before a segment is activated.
02
Segments need names that describe a job, not a mystery.
A companion can compare the audience definitions in Faraday with the campaign plan, customer notes, and dashboards open beside it. It can propose practical segment descriptions and a clean handoff for the team that will use them.
03
Model results deserve a challenge before they become targeting.
Strawberry can prepare a validation checklist around the scores in front of you: stale data, surprising concentrations, missing consent considerations, and questions for the analyst. The purpose is a stronger review, not automatic targeting.
04
A recurring audience review can preserve the reasoning behind the score.
Every Monday, the audience pass can show score changes, notable segments, and the validation questions that belong in that week’s campaign meeting. Activating a poorly understood segment can waste budget or target the wrong customers, so audience changes and campaign destinations remain for review.
It can prepare audience briefs, model-score reviews, validation checklists, and activation handoffs from the Faraday account you open.
It can help prepare the work in the tab, but you should review the criteria, destination, and customer-impacting decision before activation.
Yes. Every Monday, prepare the score changes, notable segments, and validation questions the campaign team needs before it decides who to activate.
Faraday is still the intelligence layer; Strawberry helps teams interrogate what its visible data should mean operationally. Faraday remains the customer-intelligence platform, while Strawberry helps turn the visible data into a reviewable next step.
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