Use Case

True Ad Spend Attribution

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Overview

What this means for operators

Ad platforms report conversions using their own attribution models, which inflate results by 30-50% in most cases. When you make budget decisions based on these numbers, you allocate spend to campaigns that look good on the platform but may not produce profitable revenue. True attribution connects ad spend to actual revenue and cost data — not platform estimates.

Ad platforms over-count conversions using their own attribution models. You do not know how much ad spend actually produced profitable revenue. Budget decisions are based on misleading platform data.

The problem

Ad platforms over-count conversions using their own attribution models. You do not know how much ad spend actually produced profitable revenue. Budget decisions are based on misleading platform data.

What operators do today

Common workarounds that fall short

Platform-reported conversions and ROAS from Google Ads and Meta Ads dashboards used as the source of truth

Manual UTM tracking in spreadsheets with incomplete coverage and inconsistent tagging

Third-party attribution tools that add another dashboard but still do not connect to cost data

Blended ROAS calculations that mask individual campaign and channel performance

Results you can expect

Measured outcomes from Fairview users

30-50%

overcount in platform-reported conversions vs. actual revenue attribution

Per campaign

contribution margin calculated — not just revenue-to-spend ratio

Daily

attribution data refresh replaces monthly manual spreadsheet updates

Features used

Powered by

Blended ROAS Dashboard Ad Spend Optimizer Contribution Margin Tracker

What operators say

"We connected Fairview and found that 40% of the conversions Google reported were also claimed by Meta. The overlap was costing us $8K per month in duplicated budget. Server-side matching fixed it."

Ryan Fitzgerald

Performance Marketing Lead, Ember & Oak (D2C candle company, $4M annual revenue)

Explore more

Related use cases

Calculate True ROAS Campaign Profitability Analysis Cross-Channel Margin Analysis

Try it yourself

See how Fairview handles true ad spend attribution

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FAQ

Frequently asked questions

Fairview uses UTM data on orders and direct matching between ad spend and revenue in your connected sources. It does not use a pixel — it matches server-side data.
Fairview uses order-level attribution based on UTM data. The attribution model depends on your UTM tagging strategy.
Yes. Connect both ad platforms and Fairview shows contribution margin by channel for direct comparison.
Fairview attributes orders to channels based on available data. Organic and email attribution depends on UTM tagging on those channels.

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