Product
Features
Unlock your revenue potential with smarter attribution.
Integrations
Bring your entire go-to-market stack into Source.
Changelog
New features, improvements, and everything we’re shipping.
Security
Your data, protected to enterprise standards.
Solutions
Agencies
Sales
Marketing
GTM Ops
Pricing
Resources
Blog
Help & Guides
Company
About Us
Contact
Login
Get started for free

Stop Stitching, Start Answering

October 20, 2026
Scattered data versus organized with Source: disconnected Google Ads, LinkedIn Ads, Salesforce, Stripe, website tracking, and calendar data flow through Source into one warehouse modeled around dim_contact

Your website converts users, Google Ads and LinkedIn Ads drive traffic, Salesforce runs your sales pipeline, and Stripe handles payments. Each belongs to a different team tracking different KPIs, so marketing and sales show up to the same meeting with different revenue numbers.

RevOps is the team that turns that sprawl into answers leadership can act on. Too often, though, their hours go to exporting CSVs, reconciling mismatched IDs, and rebuilding the same joins every quarter. Source does that work for them.

How It Works

Source Attribution data model: dim_contact at the center linked to sessions, page views, revenue, funnel events, and customers, with channel performance and campaign performance table groups

Connect. Install the Source pixel on your website (it’s aware of your cookie banner), then connect your ad accounts, CRM, payment system, and calendar. Define conversions the way your business does: page loads, CRM stages, server-to-server events, booked meetings, or payments.

Capture. Source saves raw data from every system in a data lake. Nothing is lost, so when your attribution rules or funnel stages change, Source reprocesses your full history, and last year’s numbers stay comparable to this year’s.

Organize. Source builds a warehouse on top of the lake, modeled around your contacts:

  • One contact, every touchpoint. A universal ID ties the ad click, page views, booked demo, deal stage, and Stripe payment to one person.
  • Account-level attribution. Peter signs up, and two weeks later Paul from the same company pays. The campaign that brought in Peter gets the credit.
  • One ad vocabulary. Google’s campaigns and ad groups and LinkedIn’s campaign groups and campaigns map into a single structure.
  • The hard math is done. Multi-model attribution, daily channel performance, and bot filtering come precalculated in a clean star schema that answers most questions in one or two joins.

Questions like “what’s our true CAC by channel?” and “how long from first visit to first payment?” become simple queries. You can also drill from monthly revenue all the way down to the single page load that started a customer’s journey.

Use It Anywhere

  • Your BI tool: connect Looker, Tableau, Power BI, or any SQL tool directly to the warehouse.
  • Source Chat: ask questions in plain English and get answers back, charts included.
  • Source MCP: give your AI agents an organized warehouse to reason over.
  • Dashboard and Slack: ready-made views plus daily, weekly, or monthly summaries.
  • Source API: one key for all your marketing data, so integrations never wait in engineering’s backlog.

Let Your Analysts Analyze

Give your RevOps team a warehouse that’s already clean, connected, and modeled around your customers. They’ll spend less time preparing data and more time on the answers leadership is waiting for.

Install the pixel and connect your first data source in minutes.