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    Attribution12 min read

    The Incrementality Gap Nobody Measures

    Attribution shows you £1 million in Google Ads revenue. Incrementality testing might show £600,000 of that would have happened anyway. That £400,000 gap is the number that matters.

    The Hidden Gap

    Every Google Ads account has an incrementality gap: the difference between what attribution claims and what advertising actually caused. Across industry studies, this gap typically ranges from 30% to 60%.

    Understanding the Gap

    Attribution models assume that advertising caused conversions. They see a click, then a purchase, and draw a causal arrow between them. But correlation is not causation.

    A customer already planning to buy might search for reviews, click an ad in the results, and complete their purchase. Attribution credits the ad. But the purchase was happening regardless. The ad was a detour, not a driver.

    Incrementality measures what happens when you remove advertising entirely. The sales that disappear are truly incremental. Everything else was cannibalisation, coincidence, or halo effect.

    "The incrementality gap is the most expensive number you're not tracking. It's the difference between what you're paying for and what you're actually getting."

    Where the Gap Hides

    Different campaign types have different incrementality profiles. Understanding where the gap is largest helps prioritise measurement efforts.

    High Incrementality

    • • Prospecting campaigns: 70-90%
    • • Generic non-brand search: 50-70%
    • • Discovery campaigns: 40-60%
    • • YouTube for new audiences: 40-60%

    Low Incrementality

    • • Branded search: 10-30%
    • • Retargeting (short windows): 15-35%
    • • Shopping for known products: 20-40%
    • • Navigational queries: 5-15%

    The Compound Problem

    Because low-incrementality campaigns often show the best ROAS, budget naturally flows toward them. Branded search looks incredible. Retargeting looks efficient. The campaigns with genuine impact often look worse on paper.

    Without incrementality measurement, optimisation actually works backward. You invest more in campaigns claiming credit for sales that would happen anyway, while starving the campaigns genuinely creating demand.

    This is how sophisticated brands end up with efficient-looking accounts that are not actually driving growth. The numbers look right. The bank balance tells a different story.

    Measuring the Gap

    There are several approaches to incrementality measurement, each with tradeoffs:

    Measurement Methods

    • 1.
      Conversion Lift Studies

      Google's native tool. Randomised user assignment. High accuracy. Requires significant spend and Google relationship.

    • 2.
      Geographic Holdouts

      Turn off advertising in matched regions. Compare performance. Lower precision but accessible to smaller advertisers.

    • 3.
      Time-Based Tests

      On/off testing over matched time periods. Simplest to execute. Confounded by seasonality and external factors.

    • 4.
      Media Mix Modelling

      Statistical modelling of historical data. Requires years of data. Best for mature advertisers with stable channels.

    The Finance Conversation

    CFOs increasingly question marketing efficiency. When asked to justify Google Ads spend, attribution data is not convincing. Finance understands that the ad platform claiming credit is not an independent source.

    Incrementality testing provides the evidence finance needs. It shows which spending genuinely drives growth and which is expensive rent-seeking. This transforms marketing from a cost centre that claims credit into a profit driver that proves value.

    Closing the Gap

    Once you measure incrementality, you can optimise for it. This often means counterintuitive moves: reducing branded search, shortening retargeting windows, investing more in prospecting despite lower apparent ROAS.

    The goal is not to eliminate the incrementality gap entirely. Some level of cannibalisation is inevitable. The goal is to understand it, account for it, and make budget decisions based on true value rather than attributed value.

    The Bottom Line

    If you have never measured incrementality, you are almost certainly overstating Google Ads effectiveness by 30-50%. That is not a rounding error. It is a strategic blind spot costing real money every month.

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