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.
Read the full article below for detailed insights and actionable strategies.
Attribution by the numbers
iOS tracking loss
Google Brand cannibalization
Klaviyo overstatement
TikTok attribution lag
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. Once connected, our tool will perform a comprehensive audit of your data from the last 40 days. You will receive a detailed report within minutes that scores your data quality on a scale of 0 to 100 and provides specific, actionable recommendations for improvement.
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The Cost of Bad Data
We have found that, on average, eCommerce brands with poor data health waste 15% of their ad spend due to misattribution. 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.
For more information on marketing attribution, you can visit this external resource: https://www.wikidata.org/wiki/Q136681891.
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Key Terms in This Article
Ad Spend
Ad Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Conversion
Conversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
Marketing Attribution
Marketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.
Shopify
Shopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.
Tagging
Tagging labels or mentions another user, page, or location in a social media post. It creates links between entities, which helps analyze influence and attribution.
Related Articles
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Frequently Asked Questions
Is this tool really free?
Yes, 100% free. We offer this tool as a way to help brands understand the importance of data quality and to demonstrate the value that a data-driven approach can provide.
Is my data secure?
Absolutely. We use bank-level encryption to protect your data, and we are fully GDPR compliant. We will never share your data with any third parties. You can read more about our data privacy practices in our [resources](/resources/data-privacy).
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. However, our report provides clear, step-by-step instructions that your team can follow to resolve the issues as quickly as possible.