Run a Causal Analysis on Your Google Ads: Are your Google Ads, especially branded search, actually creating new customers or just costing you margin on sales you already won? Find out with a one-time, $99 causal analysis.
Read the full article below for detailed insights and actionable strategies.
Stop Paying the 'Google Tax' on Your Own Brand.
Google Ads can be a powerful driver of growth. It can also be a massive drain on your marketing budget, especially when it comes to branded search. You bid on your own brand name, a user clicks, they buy, and Google takes the credit. But would that user have bought anyway? In most cases, the answer is a resounding yes. You're paying to acquire customers you already had.
It's time for a reality check. With Causality Engine's one-time causal analysis, you can get a definitive, scientific answer on the true performance of your Google Ads account. For $99, we'll connect to your Google Ads and Shopify data and run a full causal analysis on the last 40 days of activity. We'll show you exactly how much incremental revenue your campaigns are generating, and how much is just cannibalization.
The Branded Search Dilemma
The most common area of waste we find is branded search. The formula looks like this:
Branded Search Cannibalization Rate = (Revenue from Users Who Would Have Bought Anyway) / Total Branded Search Revenue
For many brands, this rate is over 90%. Our analysis will give you this number. Armed with this data, you can make a calculated decision to scale back or even eliminate your branded search spend, instantly boosting your net profit. This single insight often pays for the analysis thousands of times over.
Ready to find out your number?
Start Your Google Ads Analysis
Beyond Last-Click: A Causal View of Search
Google's entire platform is built on the principle of capturing intent at the last moment. Its attribution reporting reflects this. It's a system designed to maximize Google's perceived value, not your actual profit. This is the classic challenge of marketing attribution. You need an unbiased, external view.
Our causal models provide that view. We analyze the complex interplay between your paid search, organic search, social media, and other channels. We can tell you if your non-brand campaigns are creating new interest, or if your Performance Max campaigns are truly finding new customers. The one-time report gives you a clear, actionable path to refining your search budget. Learn more about our methods in the resources section. If you need continuous analysis, our subscription pricing is available.
Related Resources
Compare Plans and Features: Find Your Perfect Fit
ROI Guarantee: If We Dont Find Savings, You Dont Pay
Case Study: Footwear Brand Solves the Multi-Channel Attribution Puzzle
Get attribution insights in your inbox
One email per week. No spam. Unsubscribe anytime.
Key Terms in This Article
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Attribution Report
Attribution Report shows which touchpoints or channels receive credit for a conversion. It identifies which campaigns drive desired actions.
Case Study
A case study is an in-depth analysis of a particular instance or event. Marketers use it to demonstrate a product's or service's effectiveness.
Causal Analysis
Causal Analysis identifies true cause-and-effect relationships in data, moving beyond correlation to show how marketing actions directly impact outcomes.
Causal Model
A Causal Model is a mathematical representation describing the causal relationships between variables, used to reason about and estimate intervention effects.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Google Ads
Google Ads is an online advertising platform where advertisers bid to display ads, service offerings, and product listings.
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.
Ready to see your real numbers?
Upload your GA4 data. See which channels drive incremental sales. Confidence-scored results in minutes.
Book a DemoFull refund if you don't see it.
Stay ahead of the attribution curve
Weekly insights on marketing attribution, incrementality testing, and data-driven growth. Written for marketers who care about real numbers, not vanity metrics.
No spam. Unsubscribe anytime. We respect your data.
Frequently Asked Questions
Will this analysis look at my Performance Max campaigns?
Yes. Our analysis covers your entire Google Ads account, including Performance Max, non-brand search, and branded search campaigns. We measure the incremental impact of each component.
How do you handle shopping ads?
Shopping ads are included in the analysis. We treat them as another campaign type and measure their causal impact on your total sales, just as we do for search and other campaign formats.
What if I find out my branded search is 100% cannibalistic?
This is a common finding. The report will give you the data to confidently reduce or eliminate that spend. You can then reallocate that budget to channels that are proven to drive incremental growth, or simply add it back to your bottom line.
