Emelia search-term analysis — into Mattermost

The scenario pulls two weeks of Emelia search terms, computes metrics, an AI analyzes what works and sends the findings to Mattermost.

  • Two weeks of Emelia terms
  • Brand and junk terms filtered out
  • AI finds what drains the budget
  • A ready analysis in Mattermost
Google

How it works

To pass leads from Mattermost to Emelia automatically, use a ready-made scenario — no manual copying, no lost leads.

  1. Starts when: When clicking ‘Test workflow’
  2. Then: Getting Google Campaigns
  3. Check: Filtering Only for 'Enabled' Campaigns
  4. Check: Filtering For A Specific Search Google Campaign
  5. If yes: Extracting Search Terms In The Past 14 Days
  6. Then: Split Out HTTP Request Into Individual Items
  7. Then: Consolidating Search Terms Data (Removing Dates)
  8. Check: Removing Brand Terms + EXCLUDED Terms
  9. Then: Aggregating Performance Metrics
  10. Then: Aggregating Items To Prepare For LLM To Analyze
  11. Then: Brand Info Node
  12. Then: Search Terms Checker
  13. Then: Transforming It It To Be Ready For Slack Block
  14. Then: Send a message
  15. Then: Google Gemini Chat Model1
  16. Then: Structured Output Parser

You can launch this Mattermost + Emelia integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.