MARKETING

Weekly Snippet-Loss Rollup to BigQuery and Notion Scorecard

Aggregates a week of daily SERP feature snapshots in BigQuery, computes net snippet gains and losses by keyword cluster.

CategoryMarketing
Enginesim
Difficultyintermediate
Triggerschedule
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts the rollup
  • ActionAggregate seven daily SERP snapshots in BigQueryGoogle BigQueryBigQuery
  • LogicRank clusters by net feature loss and flag worst performers
  • OutputPublish the ranked scorecard to a Notion review pageNotionNotion

What it does

Once a week this workflow rolls up the daily SERP feature snapshots already collected in BigQuery, calculates net feature movement (snippets gained, snippets lost, PAA changes) grouped by keyword cluster, and writes a clean scorecard into a Notion page. The scorecard ranks clusters by largest net loss so the content review meeting starts with the biggest problems.

When to use it

Use it when you run a weekly content standup and want a single trustworthy view of which topic clusters are bleeding SERP features, rather than scanning individual keyword alerts.

How it works

  1. 1A weekly schedule starts the rollup.
  2. 2A BigQuery query aggregates the last seven daily snapshots into per-cluster gain and loss counts.
  3. 3A logic step ranks clusters by net feature loss and flags any cluster below a threshold.
  4. 4The workflow formats the ranked results into a scorecard table.
  5. 5It publishes the scorecard to the designated Notion review page.
  6. 6A summary line with the worst cluster and total net change is appended for quick scanning.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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