Agent context
Snapchat Ads models
3 SQL models that turn the raw Snapchat Ads tables into the reports people ask about. Deploy them in Weld and your agent queries the definitions behind every number.
How the set is built
- 5Raw tables
- 5Staging
- 4Core
- 3Analytics
Staging cleans each raw table once, core holds the logic, and analytics is the table dashboards and agents read.
- Ad performance dailyDaily delivery and purchase results per ad, the Ads Manager "Ads" view by day.grain: date_day x account_id x ad_id · 5 raw tables
- Ad squad performance dailyDaily performance per ad squad, Snapchat's ad set level, where targeting, bidding, budget and the optimisation goal are set. Use it to compare squads with different goals or bid strategies inside one campaign.grain: date_day x account_id x ad_squad_id · 5 raw tables
- Campaign performance dailyDaily campaign performance with the rates Ads Manager shows: CTR (swipe up rate), CPC (cost per swipe up), CPM, cost per purchase and ROAS.grain: date_day x account_id x campaign_id · 5 raw tables
- Weld or dbt
- The same SQL in both dialects. Sync the folder with GitHub Sync, or copy the dbt models into your project.
- Check before you rely on it
- Reconcile a month against Snapchat Ads's own reports first. Each model's notes say what the synced data can and can't support.
Connect Snapchat Ads.
Your agents start with context.
Sync Snapchat Ads to your warehouse, deploy these models, and query them from Claude, Cursor or ChatGPT over MCP. Free for 14 days, no credit card.