Strawberry

AI can collect your weekly social analytics and turn them into a report with the posts behind the numbers.

The useful report compares the same date window, preserves each dashboard source, and distinguishes a real content signal from a change caused by posting volume or a one-off spike.

Lock the dates and definitions before collecting numbers.

A Monday-to-Sunday report cannot be compared directly with a rolling seven-day dashboard without saying so. Neither can a platform’s video views be treated as the same measure as another platform’s impressions.

Create a reporting sheet that names each platform, the exact date range, the metric label shown in the source dashboard, and the calculation used in the report. Strawberry can then collect the relevant numbers from the signed-in dashboards you select.

Explain movement with the content that caused it.

A 40 percent increase looks impressive until the reader sees it came from one unusually strong post. A lower average may be fine if publishing doubled, or a problem if a high-performing format disappeared.

Collect links to the leading posts and note the publishing count beside the aggregate metrics. That makes the report a useful editorial conversation rather than a spreadsheet of unexplained deltas.

Give each platform its own honest readout.

A short-form video account, a LinkedIn company page, and a newsletter each have different distribution mechanics. The report can share a common executive summary, but it should not claim that all engagement rates mean the same thing.

Use platform sections for the specific metrics that guide decisions there. Keep cross-platform comparisons to clearly comparable measures, such as total posts published or tracked landing-page clicks where the instrumentation matches.

Make the weekly report a decision document.

Close with what changed, what likely contributed, what remains uncertain, and the one or two experiments worth running next. Avoid pretending that correlation proves a content tactic caused a result.

Save the dashboard locations, reporting definitions, and output format as a skill. A weekly routine can prepare the collection and draft, while a human checks anomalies before the report goes to leadership.

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Frequently asked questions

AI can collect the metrics from the dashboards and sources you specify, then prepare a weekly report using a fixed reporting definition.

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