MARKETING

Traffic-Weighted Snippet-Loss Triage to Linear

Receives snippet-loss events via webhook, joins each to its page traffic in BigQuery.

CategoryMarketing
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives a snippet-loss eventHTTP webhook
  • ActionLook up the URL's recent organic traffic in BigQueryGoogle BigQueryBigQuery
  • LogicEstimate traffic at risk and apply the priority threshold
  • ActionFile a priority-weighted issue in LinearLinearLinear
  • OutputReturn a confirmation to the webhook callerHTTP webhook

What it does

This workflow ingests snippet-loss events through a webhook and decides which ones are worth engineering or editorial time. It enriches each event with the page's recent organic sessions from BigQuery, estimates traffic at risk from the lost feature, and files a Linear issue only when the loss clears your priority threshold. Issue priority is set automatically from the at-risk volume.

When to use it

Use it when you receive snippet-loss signals from another system and need disciplined triage so the backlog only contains losses that actually move numbers. Good for teams that run their refresh backlog in Linear.

How it works

  1. 1A webhook receives a snippet-loss event payload.
  2. 2The workflow looks up the affected URL's recent organic traffic in BigQuery.
  3. 3A logic step estimates traffic at risk and compares it to the priority threshold.
  4. 4Losses below threshold are dropped and logged.
  5. 5Qualifying losses become Linear issues with priority derived from at-risk traffic.
  6. 6A confirmation is returned to the webhook caller noting whether an issue was filed.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect BigQueryDatasets, queries, schemas.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  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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