Free Marketing Data Health Check for Shopify Stores
Is your marketing data clean, accurate, and complete? Our free health check scans your Shopify and ad platform data for common issues that can lead to flawed attribution and wasted ad spend.
Three platforms, three answers, one budget to defend. Your GA4 export already holds the answer, and the first finding is free and never leaves your browser. Get your first finding free
By Joris van Huët, Founder & CEOUpdated 2 min read
Garbage In, Garbage Out
Your marketing attribution is only as good as the data it is built on. Inaccurate, incomplete, or inconsistent data will inevitably lead to flawed insights and poor decisions. Our Marketing Data Health Check is a free tool that automatically scans your data sources for common problems, giving you a clear picture of your data quality and a prioritized list of issues to fix.
What We Check For
Our health check audits your data across several key dimensions:
UTM Consistency: Are you using a consistent and logical UTM tagging structure across all your campaigns?
Conversion Tracking: Are your conversion pixels firing correctly on all pages? Are you double-counting conversions?
Data Discrepancies: Do the conversion numbers in your ad platforms match the numbers in your Shopify store?
Data Freshness: Is your data being updated in a timely manner?
How It Works
Connecting your data sources is a simple, one-time process. You will receive a detailed report within minutes that scores your data quality on a scale of 0 to 100 and provides specific recommendations for improvement.
The Cost of Bad Data
For a brand spending 150,000 EUR per month, that is 22,500 EUR down the drain every single month. Do not let bad data sabotage your marketing efforts. You can learn more about our pricing here.
Related Resources
Customer Success and Support: We Are Here to Help
Frequently asked questions
Is this tool really free?
Your first finding is free on the start page: drop the GA4 export and it is worked out in your browser, so the file is not uploaded.Is my data secure?
Absolutely. We will never share your data with any third parties. You can read more about our data privacy practices in our resources.How long does it take to fix the issues?
The time required to fix the identified issues will depend on the number and complexity of the problems.
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.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- ConversionConversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
- 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.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.
- TaggingTagging labels or mentions another user, page, or location in a social media post. It creates links between entities, which helps analyze influence and attribution.