MARKET RESEARCH

Alert Slack When a Tracked App's Install Rank Drops Sharply

Polls BigQuery on a tight schedule for sharp downward rank moves in your tracked apps and posts an urgent, context-rich alert to a Slack channel so the team can react the same day.

CategoryMarket Research
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntraday schedule
  • ActionCompute rank vs trailing baseline in BigQueryGoogle BigQueryBigQuery
  • LogicPass apps breaching the drop threshold
  • ActionPull aligned competitor newsBraveBrave Search
  • OutputPost urgent alert to Slack channelSlack

What it does

This workflow watches for downside surprises specifically. On a frequent schedule it queries BigQuery for any tracked app whose install rank has fallen by more than your configured drop threshold versus its trailing baseline. When one trips, it enriches the alert with the magnitude, the trailing trend, and a quick Brave Search check for any competitor announcement that might explain the slide, then posts a formatted message to Slack.

When to use it

Use it when a rank drop is a fire drill — you want the growth or product team pinged within hours, not in tomorrow's digest. Ideal for teams defending a top position in a crowded category.

How it works

  1. 1A schedule trigger runs several times per day.
  2. 2A BigQuery query computes each tracked app's rank versus its trailing baseline.
  3. 3A logic step passes through only apps breaching the drop threshold.
  4. 4Brave Search pulls any competitor news that lines up with the drop window.
  5. 5A Slack message posts the alert with magnitude, trend, and possible cause to the response channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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