Fix Your Meta Ads Attribution: Get True ROAS in 24 Hours
Eliminate inaccurate Meta Ads reporting and discover your true Return on Ad Spend with Causality Engine's causal inference model in under 24 hours.
By Joris van Huët, Founder & CEOUpdated 2 min read
Run the numbers for your store: the free break-even ROAS calculator.
Fix Your Meta Ads Attribution: Get True ROAS in 24 Hours
Meta Ads are vital for Shopify ecommerce brands aiming to scale. Yet, inaccurate attribution models often inflate or deflate your reported ROAS, leading to misguided budgets and missed opportunities.
Why Meta Ads Attribution is Broken
Meta's default attribution windows and pixel tracking suffer from overlap, cross-device skews, and last-click biases. The result: your reported conversions and revenue from Meta Ads are either double-counted or underrepresented. This leads to:
Overestimated ROAS causing overspend
Underestimated impact causing budget cuts
Misleading creative and audience decisions
Key Features:
Incrementality Measurement: Quantify true sales lift from Meta Ads
Cross-Channel Deconfounding: Separate Meta impact from Google, TikTok, organic, and email
Real-Time Reporting: Get updated attribution within minutes of setup
Quick Setup
Import historical data for Bayesian model training.
Review and validate your new ROAS dashboard.
Refine Beyond Meta
Attribution accuracy across channels is critical. Explore how to fix Google Ads attribution and other channels to maximize ROI.
FAQs
What is Bayesian causal inference in attribution?
Bayesian causal inference uses probability models to estimate the incremental impact of each marketing channel by considering confounding factors and uncertainties.
How fast can I see results?
You get accurate ROAS data within minutes of setup.
Does this require code changes on my Shopify store?
No code changes are required; integration uses APIs and data exports.
Check detailed pricing at /pricing.
Related Resources
Meta Ads True ROAS Calculator: Beyond Platform Reporting
Free ROAS Calculator for ecommerce: Calculate Your True Return
Best Facebook Ads Manager Attribution Alternative for Shopify ecommerce in 2026
TikTok Ads True ROAS Calculator for ecommerce
Best Data Driven Attribution Alternative for Shopify ecommerce in 2026
Frequently asked questions
What is Bayesian causal inference in attribution?
Bayesian causal inference uses probability models to estimate the incremental impact of each marketing channel by considering confounding factors and uncertainties.How fast can I see results?
You get accurate ROAS data within 3-5 minutes of setup.Does this require code changes on my Shopify store?
No code changes are required; integration uses APIs and data exports.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Keep reading
Terms in this article
- Attribution ModelAn Attribution Model defines how credit for conversions is assigned to marketing touchpoints. It dictates how marketing channels receive credit for sales.
- Attribution WindowAttribution Window is the defined period after a user interacts with a marketing touchpoint, during which a conversion can be credited to that ad. It sets the timeframe for assigning conversion credit.
- 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.
- Data Driven AttributionData-Driven Attribution uses machine learning to analyze customer touchpoints and assign conversion credit. It determines the true impact of each marketing channel.
- Facebook AdsFacebook Ads are paid advertisements appearing on Facebook and Instagram. Businesses use them to target specific audiences based on demographics and interests.
- IncrementalityIncrementality is the part of an outcome, such as orders or revenue, that a marketing activity caused: the extra results compared with what would have happened without it. It is a causal effect, not the number of conversions credited to a channel.
- 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.
- Pixel TrackingPixel Tracking uses a small, invisible image on a webpage or email to monitor user behavior. It tracks conversions and builds audiences for retargeting.