MARKET RESEARCH
Alert when a competitor app review topic spikes after a release
Triggered by new review batches landing in BigQuery, this flow checks whether any single topic's volume spiked abnormally for a competitor's newest version and pages the team…
How it runs
The automated pipeline, trigger to output.
- TriggerWebhook on new review batch loadedHTTP webhook
- ActionCompare topic volume to trailing baselineBigQuery
- LogicDid any topic cross the anomaly threshold?
- OutputSend spike alert with example reviews to SlackSlack
What it does
Watches for sudden, anomalous bursts in a specific review topic right after a competitor ships a new version. Instead of waiting for a weekly digest, it evaluates each incoming review batch against a baseline and fires only when a topic's share or raw count blows past its normal range — catching, for example, a crash wave or a hated UI redesign within hours.
When to use it
Use it for fast-moving competitive situations where being early matters: a rival's botched launch you want to capitalize on, or an early-warning signal that a feature you also ship is causing pain. Tune the threshold to avoid noise.
How it works
- 1A webhook fires when a new classified-review batch is written for a tracked app.
- 2A BigQuery query compares each topic's volume in the new batch against its trailing baseline for that app and version.
- 3A logic step decides whether any topic crossed the anomaly threshold.
- 4If nothing spiked, the run exits quietly.
- 5If a spike is detected, the offending topic, the spike magnitude, and three representative review quotes are sent as a Slack alert to the competitive-intel channel.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect HTTP webhookTrigger any URL on agent actions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Market Research workflows
Hiring Surge Detector with Slack Alert
Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…
Tech-Stack Shift Inference from Job Descriptions
Reads new job descriptions for target accounts, uses an LLM to extract named technologies and infer stack changes.
Enrich Inbound Accounts with BigQuery Firmographics and Score Fit
When a new account row lands in Airtable, joins it against BigQuery public business datasets to attach firmographic attributes.
Blend BigQuery TAM with Live Competitor Signals into a Notion Brief
On demand, sizes a chosen segment from BigQuery public data, gathers current competitor signals via Brave Search, and synthesizes a one-page market brief into Notion.
Allocate Sales Territory TAM from BigQuery Geo Data to HubSpot
When triggered by a webhook, queries BigQuery public ZIP-level business data to compute TAM per sales territory.
Discover Adjacent Segments from BigQuery and Rank Expansion Bets
On a schedule, scans BigQuery public industry data for fast-growing NAICS sectors adjacent to your core segments, scores them as expansion bets.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.