The Trade Desk + Bruin
Ingest The Trade Desk data into your warehouse with incremental loading, quality checks, and full lineage. Defined in YAML, version-controlled in Git.
For business teams
What you get
Cross-channel ad reporting
See The Trade Desk spend alongside Google Ads, Facebook, and every other channel — in one place, updated automatically.
True ROAS, not estimated
Join The Trade Desk spend with actual revenue from Stripe or your CRM. Know your real return on ad spend, not what the ad platform tells you.
No more manual exports
Stop downloading CSVs from The Trade Desk. Stakeholders get fresh data every morning without asking anyone.
Catch budget anomalies early
Quality checks flag unexpected spend spikes or zero-impression campaigns before they burn budget.
For data & engineering teams
How it works
Incremental sync with lookback
Bruin handles The Trade Desk's attribution windows automatically. Set lookback days in the connection URI — no custom logic needed.
YAML-defined, Git-versioned
Your The Trade Desk pipeline is a YAML file. Review in PRs, deploy with CI/CD, roll back with git revert.
Column-level quality checks
Validate spend, impressions, and clicks with not_null, unique, and custom SQL checks. Pipeline stops on failure.
Multi-destination support
Land The Trade Desk data in BigQuery, Snowflake, Redshift, or DuckDB. Switch destinations by changing one line.
Before you start
Step 1
Add your The Trade Desk connection
Connect using The Trade Desk API token and partner ID. Add this to your Bruin environment file — credentials are stored securely and referenced by name in your pipeline YAML.
Parameters
api_tokenThe Trade Desk API authentication tokenpartner_idYour Trade Desk partner or advertiser ID
connections:
thetradedesk:
type: thetradedesk
uri: "thetradedesk://?api_token=<your-api-token>&partner_id=<your-partner-id>"Step 2
Create your pipeline
Define a YAML asset that tells Bruin what to pull from The Trade Desk and where to land it. This file lives in your Git repo — reviewable, version-controlled, and deployable with CI/CD.
Available tables
name: raw.thetradedesk_campaigns
type: ingestr
parameters:
source_connection: thetradedesk
source_table: 'campaigns'
destination: bigqueryStep 3
Add quality checks
Add column-level and custom SQL checks to your The Trade Desk data. If a check fails, the pipeline stops — bad data never reaches downstream models or dashboards.
columns:
- name: campaign_id
checks:
- name: not_null
- name: spend
checks:
- name: not_null
- name: impressions
checks:
- name: not_null
custom_checks:
- name: no negative ad spend
query: |
SELECT COUNT(*) = 0
FROM raw.thetradedesk_campaigns
WHERE spend < 0Step 4
Run it
One command. Bruin connects to The Trade Desk, pulls data incrementally, runs your quality checks, and lands clean data in your warehouse. If a check fails, the pipeline stops — bad data never reaches downstream.
--start-date$ bruin run .Running pipeline...
thetradedesk_campaigns
✓ Fetched 2,847 new records
✓ Quality: campaign_id not_null PASSED
✓ Quality: spend not_null PASSED
✓ Quality: no negative ad spend PASSED
✓ Loaded into bigquery
Completed in 12sOther Ad Platform integrations
Ready to connect The Trade Desk?
Start for free, or book a demo to see how Bruin handles ingestion, quality, lineage, and scheduling for your entire data stack.

