MARKET RESEARCH
On a Competitor Release Webhook, Measure Its App-Rank Impact
When a competitor-release webhook fires, snapshots the named app's BigQuery rank trajectory before and after the event, judges whether the release moved the needle.
How it runs
The automated pipeline, trigger to output.
- TriggerCompetitor release webhookHTTP webhook
- LogicExtract competitor app and event date
- ActionQuery pre/post rank trajectory in BigQueryBigQuery
- LogicCompute delta and classify impact
- OutputLog impact verdict to NotionNotion
What it does
This is an event-driven impact tracker. When your release-monitoring source posts a webhook (a competitor shipped a new version or feature), the workflow reads the competitor and event date from the payload, then queries BigQuery for that app's install-rank trajectory in the days before and after. It computes the pre/post delta, decides whether the release plausibly drove a rank change, and records a structured impact note in Notion for later pattern analysis.
When to use it
Use it when you already capture competitor release signals (changelog scrapers, app-store version feeds) and want to systematically learn which kinds of releases actually move ranks. It builds an evidence base over time rather than reacting to a single day.
How it works
- 1An incoming webhook trigger delivers the release event payload.
- 2A logic step extracts the competitor app and event date.
- 3A BigQuery query returns the app's rank trajectory across the pre/post window.
- 4A logic step computes the delta and classifies impact as material or negligible.
- 5The verdict and evidence are written as a Notion record in the impact log.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect BigQueryDatasets, queries, schemas.
- 3Connect NotionPages, databases, comments.
- 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.