Run a Causal Analysis on Your Meta Ads: Start Now
Meta's Ads Manager can take credit for users who were already on their way to buy. How reported ROAS differs from incremental ROAS, and the formula for incremental ROAS.
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By Joris van Huët, Founder & CEOUpdated 2 min read
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Is Your ROAS Real or an Illusion?
Meta's Ads Manager tells a convincing story. But how much of that is real, incremental revenue, and how much is just Meta taking credit for sales that would have happened anyway? For most Shopify brands, the gap between reported ROAS and true incremental ROAS is terrifyingly large.
This is where a causal analysis becomes essential.
Your Lookback: The Truth in Numbers
Receive Your Report: Get a detailed causal analysis report showing your true, incremental ROAS, cannibalization effects, and a clear verdict on your performance.
This isn't a subscription. It's a single, useful dose of truth. The formula is simple:
True Incremental ROAS = Incremental Revenue / Ad Spend
Stop guessing if your ads are working. Know for sure.
Why Ads Manager's Attribution is Flawed
Facebook's (now Meta) attribution model is inherently biased. It wants to demonstrate its own value to keep you spending. It uses a 'last touch' or 'multi-touch' model that assigns credit generously, especially for retargeting campaigns. It often takes credit for users who were already on their way to your site to make a purchase. This is the core of the marketing attribution problem.
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Related Resources
Meta Ads Budget Optimizer: Find Your Optimal Spend Level
Frequently asked questions
What do I get in the final report?
You receive a complete PDF report detailing your incremental revenue, true incremental ROAS, and a breakdown of performance by campaign.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- Ad SpendAd Spend is the total amount invested in advertising campaigns. It is measured against Return on Ad Spend (ROAS) to evaluate campaign effectiveness.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Attribution ModelAn Attribution Model defines how credit for conversions is assigned to marketing touchpoints. It dictates how marketing channels receive credit for sales.
- Causal AnalysisCausal Analysis identifies true cause-and-effect relationships in data, moving beyond correlation to show how marketing actions directly impact outcomes.
- 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.
- RetargetingRetargeting is online advertising that targets users who have previously interacted with your website or content. Attribution analysis shows the causal role of retargeting in driving conversions and improving ad spend.
- RevenueRevenue is the total income generated by the sale of goods or services related to a company's primary operations.
- ShopifyShopify is an ecommerce platform for creating online stores and selling products. Attribution modeling shows which marketing channels drive traffic and conversions within Shopify.