Reward Sciences Strawberry

Your AI companion for Reward Sciences.

Reward Sciences programmes carry customer value through earning rules, rewards, campaigns, and member activity. Strawberry can organise the visible programme context into a launch checklist, an exception queue, a member-support brief, or a reporting draft.

It helps loyalty, marketing, and operations teams examine campaign settings, reward outcomes, customer cases, and programme trends without making a customer-facing change by accident.

Every proposed programme step remains attached to the campaign, member, or reporting screen it came from.

Check the offer before customers see it.

A loyalty promotion can be technically complete and still confuse customers if dates, eligibility, earning rules, or reward terms conflict. Read the campaign details together and turn them into a launch review that makes missing decisions visible.

Treat reward exceptions as customer cases.

A missing credit or unexpected redemption is not just an operational row; it changes what a customer believes they earned. Assemble the member activity, applicable programme rule, and the case owner before anyone changes a points balance.

Turn activity into a programme signal.

Weekly counts are only useful when they explain whether members are earning, redeeming, enrolling, or disengaging differently. Use the selected reporting views to prepare a concise movement summary and questions for the programme owner.

Run pre-launch checks when they matter.

A campaign review belongs shortly before the launch window, when dates and inventory assumptions are still actionable; a programme trend pass works better weekly, when daily variation has settled. Save each Reward Sciences checklist as a skill and schedule its own cadence.

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Frequently asked questions

Yes. It can work from the Reward Sciences screens you share to prepare campaign checklists, exception summaries, and reporting briefs.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents