Windsor.ai Marketing Data Attribution API
Windsor.ai marketing data attribution REST API for marketers and analysts to connect 315+ data sources, apply multi-touch attribution models, and export unified marketing performance data to Google Sheets, BigQuery, Looker Studio, and BI tools with AI-powered attribution modeling. Enables AI agents to manage data source connection for marketing data collection automation, handle multi-touch attribution model application for conversion credit automation, access cross-channel marketing data normalization for unified reporting automation, retrieve Google Ads, Facebook Ads, and analytics data for paid media automation, manage data export to BigQuery and Looker Studio for data warehouse automation, handle custom attribution model configuration for business-specific measurement automation, access customer journey path analysis for conversion funnel automation, retrieve blended ROAS and channel performance for efficiency reporting automation, manage scheduled data sync for daily marketing data refresh automation, and integrate Windsor.ai with marketing analytics, BI, and data warehouse platforms for end-to-end attribution automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Marketing analytics. GDPR. API key. EU. Attribution and ad data.
⚡ Reliability
Best When
A marketing team or agency wanting AI agents to automate multi-touch attribution modeling and marketing data aggregation from 315+ sources into Google Sheets, Looker Studio, or BigQuery through Windsor.ai's affordable attribution platform.
Avoid When
ATTRIBUTION MODEL REQUIRES HISTORICAL TRAINING DATA: Windsor.ai data-driven attribution models require sufficient historical conversion data; automated attribution on low-conversion campaigns creates statistically insufficient model; automated attribution model selection should use rules-based for new campaigns. API ACCESS TIER REQUIREMENTS: Windsor.ai full API access requires paid plan; automated API integration for free-tier users has limited data source access; automated API pipeline must verify plan includes required connectors. DATA FRESHNESS SCHEDULE VARIANCE: Windsor.ai connector refresh frequency varies (hourly to daily) by source; automated reporting must check connector refresh schedule; automated real-time dashboard on Windsor.ai creates latency surprise from scheduled refresh. CONNECTOR AUTHENTICATION MANAGEMENT: Windsor.ai connectors require OAuth tokens to each ad platform; automated pipeline fails when ad platform OAuth tokens expire; automated pipeline monitoring must detect connector authentication failure and trigger reauthorization.
Use Cases
- • Applying multi-touch attribution models from marketing measurement agents
- • Connecting 315+ marketing sources from data aggregation pipeline agents
- • Exporting attributed data to BigQuery from marketing data warehouse agents
- • Measuring cross-channel ROAS from multi-platform marketing agents
Not For
- • Real-time marketing data (Windsor.ai refreshes on schedule)
- • Enterprise-scale data pipeline (use Funnel.io or Supermetrics for enterprise)
- • Customer-level deterministic attribution (use Rockerbox for individual attribution)
Interface
Authentication
Windsor.ai uses API key for authentication. REST API with JSON. Copenhagen, Denmark HQ. Founded 2017. Products: 315+ connectors, multi-touch attribution, Markov chain attribution, Google Sheets, BigQuery, Looker Studio, Power BI destinations. No webhooks (pull-based). GDPR. Serves agencies and marketing teams. Competes with Supermetrics and Funnel.io for marketing data pipelines.
Pricing
Copenhagen DK. Free tier available. Per-month subscription with row limits. Annual discount.
Agent Metadata
Known Gotchas
- ⚠ FIELD SELECTION REQUIRED IN API QUERY: Windsor.ai API requires explicit field selection (fields parameter); automated data extraction must specify required fields; automated empty fields parameter returns all available fields which may include unexpected data and exceed row limits
- ⚠ ROW LIMIT PER QUERY AND PLAN: Windsor.ai API response is limited by plan row limits (free: 1,000 rows/month); automated large-dataset extraction must track monthly usage; automated unlimited extraction on free/starter plan creates row limit exceeded error mid-pipeline
- ⚠ DATE RANGE GRANULARITY SELECTION: Windsor.ai supports multiple date granularities (day, week, month); automated time-series reporting must specify granularity; automated default granularity may return aggregated monthly data when daily breakdown is needed for campaign optimization
- ⚠ ATTRIBUTION MODEL PARAMETER REQUIRED: Windsor.ai attribution requires explicit model selection (last_click, first_click, linear, markov, shapley); automated attribution reporting must specify model; automated no-model default creates last-click attribution regardless of desired model
- ⚠ CONNECTOR REFRESH SCHEDULE CHECK: Windsor.ai connector data freshness varies; automated downstream reporting must account for connector-specific refresh lag; automated same-time-daily reporting creates inconsistent data freshness across connectors with different refresh schedules
Alternatives
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Scores are editorial opinions as of 2026-03-07.