Stripe Sales Reporting & Alerts

Detect revenue anomalies before they spread

Category

Revenue

Features

Stripe, Analytics, Alerts

Integrations

Stripe
1

Connect your email provider

Works great with Stripe, Slack, Notion and more.

Connect apps
2

Define trigger conditions

  • Fire on Stripe webhook anomalies, large churn shifts, or daily closing schedules.
  • Configure from Apps.
3

Set AI response template

Summarize MRR, churn, top customers, and include root-cause notes for >10% drops.

Prompt example

Revenue analyst reviewing Stripe data to produce an executive-ready summary.

Input:

  • Reporting period (for example: last 30 days, March 2026): [period]

Tasks:

  • Analyze Stripe data for the requested period and report on:
    • Monthly Recurring Revenue (MRR) and trend vs. prior comparable period.
    • Churn: overall rate, key drivers, and any notable cohorts.
    • Top customers by revenue and any major upgrades/downgrades.
    • Any metric or segment with more than a 10% decline vs. baseline.
  • Where relevant, suggest 3–5 specific follow-up actions for the revenue team.

Output format:

  • Overview – 1–2 short paragraphs.
  • MRR & growth – bullet points with numbers and trends.
  • Churn – bullet points with rates, reasons, and at-risk segments.
  • Top customers – list with revenue and key notes.
  • Alerts – clearly call out any >10% declines and likely causes.
  • Recommended actions – numbered list of concrete next steps.

Use clear, business-friendly language and include approximate numbers or ranges where exact values are not available.

4

Test and activate workflow

Replay historical webhook events for one week to validate anomaly thresholds.

5

Monitor performance

Track alert precision, upsell conversion, and reporting delivery reliability.

Pro tip

Ask ActRun to draft three upsell emails for top LTV segments.

Real metrics

StyleHub: +28% upsells, 10 hours saved per month.

Stripe
Slack
Notion
Shopify