Windsor.ai is a marketing data aggregation and multi-touch attribution platform that connects all advertising and marketing channels — Google, Meta, LinkedIn, TikTok, and 50+ more — to revenue and CRM data, enabling marketers to see true multi-touch attribution across the entire buyer journey. It eliminates the manual data aggregation work of pulling performance data from each platform separately.
Product Overview
Windsor.ai solves the reporting fragmentation problem that plagues performance marketing teams: each ad platform claims credit for conversions in its own siloed reporting, making it impossible to understand true cross-channel attribution without a neutral third-party system. Windsor aggregates raw data from all connected marketing channels via API, joins it with CRM data and website analytics, and applies configurable attribution models — first touch, last touch, linear, time decay, and data-driven — to distribute conversion credit across all touchpoints in the customer journey. The platform outputs ready-to-use data directly to Google Sheets, Data Studio (Looker Studio), BigQuery, and BI tools — eliminating the need for custom data pipelines for marketing performance reporting.
Key Features
- 50+ Marketing Connectors: Pull data from every major ad platform, analytics tool, and CRM via API — Google, Meta, LinkedIn, TikTok, and more.
- Multi-Touch Attribution Models: Apply first-touch, last-touch, linear, time-decay, and data-driven attribution models to the same dataset for comparison.
- CRM Data Joining: Connect marketing touchpoint data to CRM revenue data — attribute pipeline and closed revenue to specific campaigns.
- Direct BI Output: Send aggregated, attributed data directly to Google Sheets, Looker Studio, BigQuery, or Tableau — no custom pipelines required.
- Custom Attribution Windows: Configure attribution lookback windows and conversion events to match your specific sales cycle length.
Best For
Performance marketing and RevOps teams that manage spend across multiple ad platforms and want unified attribution reporting without building custom data pipelines — particularly teams using Google Sheets or Looker Studio for reporting.
Pricing
Starter: $19/month. Basic: $99/month. Professional: $299/month. Enterprise: custom. Free 30-day trial.
Key Integrations
Google Ads, Facebook Ads, LinkedIn Ads, TikTok Ads, Google Analytics, Salesforce, HubSpot, BigQuery, Google Sheets, Looker Studio
Pros
- Most affordable multi-touch attribution solution in the market
- 50+ connectors cover virtually every marketing channel without custom integration
- Direct Google Sheets and Looker Studio output fits existing marketing reporting workflows
- Configurable attribution models allow fair comparison across channels
Cons
- Less sophisticated attribution modelling than enterprise tools like Dreamdata or Bizible
- Data accuracy depends on API coverage — some platforms have limited attribution data in their APIs
- No dedicated customer success support on lower tiers — primarily self-serve
RevOps Jobs-to-Be-Done
- Marketing Data Aggregation and Attribution — Connect all marketing channels into a unified data layer and apply AI attribution models to understand true channel contribution. KPI: Replace manual spreadsheet reporting across 15+ ad platforms with a single automated attribution dashboard
- Ad Platform Data to BI Tools — Pipe data from Facebook Ads, Google Ads, and 300+ other sources directly into Google Sheets, Looker, Power BI, or BigQuery. KPI: Build marketing analytics reports 5x faster by eliminating manual platform data exports
- AI-Powered Attribution Modeling — Apply Windsor.ai's machine learning attribution model across all touchpoints to move beyond last-click toward data-driven attribution. KPI: Reallocate 20–30% of ad budget to higher-performing channels identified by ML-driven attribution
How It Fits Your Stack
Primary system of record: Ad platforms and data warehouses
Key integrations: Facebook Ads, Google Ads, LinkedIn Ads, TikTok Ads, Snapchat, Google Sheets, BigQuery, Snowflake, Looker, Power BI
Data flows: Ad platform APIs pull spend, impression, and click data; Windsor.ai applies attribution model; enriched data pushed to BI tools, Google Sheets, or data warehouse for reporting
Security & Compliance
- SSO / SAML: Google SSO
- RBAC / permissions: Yes
- Audit logs: Yes
- Certifications: GDPR compliant, SOC 2 Type II
- Data residency: EU and US
Implementation & Ownership
- Time to first value: 1–3 days
- Implementation complexity: Very low — connector-based SaaS with 300+ pre-built integrations
- Typical owners: Marketing Analyst, Demand Generation Manager, Growth Marketer
Great price-to-value ratio; strength is in data aggregation and BI connectivity more than deep ML modeling
Proof & Buyer Signals
Ratings: G2: 4.5/5 (100+ reviews)
What buyers praise:
- Huge connector library
- Very fast setup
- Good value vs enterprise alternatives
Common complaints:
- ML attribution less sophisticated than pure-play tools
- Some connector reliability issues reported
Often Compared With
- Northbeam — Northbeam has deeper ML attribution for DTC brands; Windsor.ai has broader connector coverage and faster deployment for teams needing ad data aggregation
- Rockerbox — Rockerbox provides deeper multi-touch modeling and journey analysis; Windsor.ai excels at fast cross-platform data piping to BI tools
- Triple Whale — Triple Whale is Shopify-native with creative analytics; Windsor.ai covers 300+ sources for teams without a Shopify-centric stack
