MARKET RESEARCH

Competitor App Store Rating & Review Shift Monitor

Pulls competitor app store ratings and recent reviews daily, detects sudden rating drops or review-volume spikes, and pages the on-call PM when a competitor stumbles.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionScrape competitor ratings and reviewsApify
  • ActionLoad yesterday's baseline metricsAirtableAirtable
  • LogicFlag sharp rating drops or review spikes
  • ActionPage on-call analyst on shiftPagerDutyPagerDuty
  • OutputSave today's metrics as new baselineAirtableAirtable

What it does

Watches your competitors' app store ratings and review activity for sharp movements — a rating drop, a surge of negative reviews — and alerts you fast so you can capitalize or prepare a response.

When to use it

Use this when competitor product sentiment is a leading indicator for your sales and marketing motion, and you want to react within hours of a competitor's bad release rather than weeks later.

How it works

  1. 1A daily schedule triggers the run.
  2. 2Apify scrapes each competitor app's current rating, review count, and latest reviews from the app stores.
  3. 3Results are compared against yesterday's stored values in Airtable to compute rating delta and review-volume change.
  4. 4A logic step flags only meaningful shifts — for example a rating drop beyond a threshold or a negative-review spike.
  5. 5Flagged events trigger a PagerDuty alert to the on-call competitive analyst.
  6. 6Today's metrics are saved to Airtable as the new baseline for tomorrow.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect AirtableBases, tables, views, automations.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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