Data Integration Planning Template for Marketing Teams
## Your Data is a Mess. Here's How to Fix It.
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By Joris van Huët, Founder & CEOUpdated 2 min read
Your Data is a Mess. Here's How to Fix It.
Your marketing data is scattered across a dozen platforms that don't talk to each other. You have Shopify for sales, Google Analytics for traffic, Facebook Ads for social, Klaviyo for email, and a handful of other tools for everything else. Trying to stitch this data together into a coherent picture is a manual, error-prone nightmare. You're making critical budget decisions based on incomplete data and gut feelings, and it's costing you. Without a unified view of your customer journey, you can't possibly understand what's actually driving growth.
The Data Integration Planning Template
This template is a strategic guide for marketing and operations teams. It helps you map out your data sources, define your key metrics, and establish a clear plan for achieving a single source of truth for your marketing attribution.
| Data Source | Platform | Key Metrics to Track | Integration Method | Primary Owner |
|---|---|---|---|---|
| E-commerce | Shopify | Revenue, Orders, AOV, LTV | Native Integration | Head of E-commerce |
| Paid Social | Facebook/Instagram Ads | Spend, Impressions, Clicks | API Connection | Performance Marketer |
| Paid Search | Google Ads | Spend, Impressions, Clicks, Keywords | API Connection | Performance Marketer |
| Email Marketing | Klaviyo | Sends, Opens, Clicks, Flows | API Connection | CRM Manager |
| Organic Search | Google Search Console | Impressions, Clicks, CTR, Position | Manual Upload (CSV) | SEO Manager |
How to Execute Your Data Integration Plan
Map Your Data Sources: Use the template above to identify every platform that contains a piece of your customer journey data.
For most major platforms, this is a one-click process.
Stop letting data chaos dictate your strategy. A clear, integrated data picture is the first step toward scalable, profitable growth.
Internal Links
Explore Causality Engine Pricing
External Link
The Importance of Marketing Attribution
Related Resources
Google Ads vs Shopify Revenue: Solving the Data Gap
Frequently asked questions
What is Causality Engine?
Causality Engine reads one file, the Attribution paths export from GA4, and shows what each channel caused next to what last-click gave it.How is Causality Engine different from Google Analytics?
Google Analytics primarily uses last-click attribution, which is misleading. Causality Engine uses causal inference on the GA4 history you already have to estimate what each channel caused.How much does it cost?
The €99 read is a one-time causal read on a GA4 export; 12 months or more of history reads best. Pro is €299 a month, billed monthly, with lifetime look-back. Prices exclude VAT; details are on the pricing page.Is it hard to set up?
No. Setup is fast and easy. Results arrive 1 to 2 minutes after the upload, and there is no pixel and no SDK to install. Our Attribution Implementation Checklist provides a step-by-step guide.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal AnalysisCausal Analysis identifies true cause-and-effect relationships in data, moving beyond correlation to show how marketing actions directly impact outcomes.
- Causal ModelA Causal Model is a mathematical representation describing the causal relationships between variables, used to reason about and estimate intervention effects.
- Customer journeyCustomer journey is the path and sequence of interactions customers have with a website. Customers use multiple devices and channels, making a consistent experience important.
- Email MarketingEmail Marketing is sending commercial messages to a group of people using email. Every email sent to a potential or current customer constitutes email marketing.
- Facebook AdsFacebook Ads are paid advertisements appearing on Facebook and Instagram. Businesses use them to target specific audiences based on demographics and interests.
- Google AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.
- Marketing AttributionMarketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.