Social Media Attribution Template: Beyond Vanity Metrics
## Your Social Media ROI is a Black Box. Let's Fix That.
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 1 min read
Run the numbers for your store: the free UTM builder.
Your Social Media ROI is a Black Box. Let's Fix That.
Likes, shares, and comments are the cotton candy of marketing metrics: they look substantial but dissolve into nothing under scrutiny. For too long, fashion and beauty brands have been told to chase engagement, but engagement doesn't directly translate to revenue. The problem is that standard attribution models, like the last-click model native to most ad platforms and analytics tools, are flawed. They fail to capture the complex, multi-touch journey of a modern consumer, giving you a distorted view of what's actually driving sales.
Causality Engine uses causal inference on the GA4 history you already have to estimate what each channel caused.
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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 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?
Results arrive 1 to 2 minutes after the upload, and there is no pixel and no SDK to install.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- DashboardA dashboard is a visual display of key information required to achieve specific objectives. It consolidates data onto a single screen for quick review.
- DashboardsDashboards are graphical user interfaces that provide at-a-glance views of key performance indicators (KPIs). They monitor campaign performance and visualize attribution insights.
- 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.
- MetricsMetrics are quantifiable measures that track and assess business process status. They evaluate campaign performance and inform attribution analysis.