
Image credit: Search Engine Journal
Paid media budget optimization requires integrating the Marketing Efficiency Ratio (MER) and a three-layer measurement framework, according to new industry insights released Tuesday.
This updated methodology aims to resolve common conflicts in platform attribution and prevent misallocation of funds, particularly impacting upper-funnel marketing channels.
Platform attribution often presents conflicting data, with major players like Meta and Google frequently claiming credit for the same conversions, which complicates budget decisions.
Incrementality testing, while effective for measuring the causal impact of a specific channel, fails to capture the overall contribution of marketing to a business, often leading to incorrect budget reductions for channels higher in the sales funnel.
The Marketing Efficiency Ratio (MER), calculated by dividing total revenue by total ad spend, is proposed as a vital metric to anchor overall marketing investment decisions.
A recommended three-layer measurement stack includes MER for assessing overall investment return, incrementality for evaluating channel-specific impact on MER, and attribution for understanding customer journey touchpoints.
The cost of conducting incrementality tests became more accessible in 2025, particularly with Google’s Conversion Lift studies.
These platform-native lift studies from Google are now available for lower budgets, starting at $5,000 and requiring 1,000 conversions, largely due to advancements in Bayesian statistical methodology.
Conversely, Meta’s Brand Lift studies currently demand a significantly higher minimum budget, at $120,000 in the United States, an increase from a previous $30,000 threshold.
However, Meta’s Conversion Lift studies maintain lower budget requirements, making them a viable starting point for many advertisers.
Despite their increased accessibility, platform-native tests have inherent limitations, as they only measure incrementality within their respective platforms and cannot fully account for cross-channel marketing effects.
Source: Search Engine Journal
Written by
Palumbo Angela
Angela Palumbo, Senior Editor at Rabbit Rank since 2023, holds a bachelor's in communications. She focuses on fact-checking and simplifying complex topics while also leading strategy for the news department.
Keep reading
Related Articles

Cloudflare to block AI bots from sites opting out of data collection
Cloudflare will block AI bots from sites, OpenAI details indexing, Google Analytics adds benchmarks, and legal...

Anthropic Details AI Text Watermarking for Claude Models
Anthropic details its AI text watermarking for Claude, based on Google DeepMind’s SynthID-Text, explaining its...

Google integrates Gemini 3.7 Flash into AI Search for subscribers
Google adds Gemini 3.7 Flash to AI Mode in Search, offering enhanced instruction following and intent understa...