Google has opened Google Conversion Lift to Search and Performance Max campaigns, according to reports from early October 2026 and Google’s own Ads Help documentation. Both campaign types now appear among the types supported for Conversion Lift studies.
That matters because most advertisers ask the same question at some point: would these customers have converted anyway? Standard reporting tells you which conversions Google Ads gets credit for. It does not tell you how many of them your ads truly caused.
This article explains what Conversion Lift is, how it works, what the Search and Performance Max update means, and how to use the results responsibly.
What Is Google Conversion Lift?
Google Conversion Lift is an incrementality measurement tool inside Google Ads. It estimates how many conversions happened because of your advertising, rather than how many were simply attributed to it.
Standard conversion tracking counts actions that follow an ad interaction. Some of those customers were already planning to buy. Incrementality testing separates the people your ads influenced from the people who would have converted regardless.
To do this, Conversion Lift uses a controlled experiment:
- A treatment group can see your ads as normal.
- A control group, held back from your ads, does not.
- Google compares conversion outcomes between the two groups.
The gap between the groups is the incremental result. Google’s documentation describes the main output as incremental conversions: treatment conversions minus control conversions over the study period.
Google Expands Conversion Lift to Search and Performance Max
Google’s Ads Help page for user-based Conversion Lift now lists Search and Performance Max alongside Display, Video, Demand Gen, and App campaigns. Search Engine Land reported the change on 7 October 2026.
This is a meaningful step for two reasons. Search and Performance Max take a large share of many advertisers’ budgets, and they are the campaign types where the “would they have bought anyway?” question comes up most often.
Before you plan a test, check the conditions in Google’s documentation. At the time of writing, it lists these requirements:
- At least 1,000 observed conversions, not counting conversions that use supplementary data.
- A minimum campaign budget of $5,000 USD for the study.
- At least one conversion action compatible with Conversion Lift.
- App campaigns targeting iOS and Travel Ads are not supported.
Google also states that Conversion Lift is not available for all Google Ads accounts, and that access may involve your Google account representative. Rollout timing and availability can differ by account, so confirm your own eligibility before building a testing plan around it.
How Conversion Lift Works in Google Ads
The process is easier to follow as a sequence:
- Set up the study. You choose the campaigns, conversion actions, and holdback share. Google’s documentation describes a holdback of 1% to 50% of the audience.
- Hold back a control group. The control group does not see your ads during the study.
- Run the experiment. Studies can be as short as 7 days, but Google recommends running them for longer than 14 days.
- Compare outcomes. Google measures conversions in the exposed and held-back groups.
- Estimate lift. The report shows incremental conversions and, for value-based advertisers, incremental ROAS (iROAS), along with credible or confidence intervals that show how certain the estimate is.
Two details are worth knowing. First, Google says Conversion Lift results ignore your attribution settings, because the comparison is between groups rather than between touchpoints. Second, Google uses modelling when some conversions cannot be directly linked to ad interactions, for example because of browser restrictions or cross-device behaviour.
Exact setup steps and available options depend on your account and campaign type, so follow the current instructions in Google’s guide to setting up Conversion Lift based on users.
Why Conversion Lift Matters for Search Campaigns
Search captures demand that already exists. That is its strength, and also the reason it is hard to judge. A person who searches for your brand name may have bought from you with or without the ad.
Conversion Lift for Search campaigns can help you:
- Measure the incremental value of paid search. See how many extra conversions your ads produced.
- Understand whether ads create additional demand. Compare exposed users with a held-back group.
- Look beyond attributed conversions. Attribution shows credit. Lift shows contribution.
- Make better bidding and budget decisions. If a campaign shows strong incremental results, it may deserve more budget. If it shows little, you can rethink the structure.
- Recognise the limits of attribution alone. Attributed conversions can overstate or understate real impact.
A lift result is evidence, not a verdict. It describes what happened in one study, on one set of campaigns, in one period.
What Conversion Lift Means for Performance Max Campaigns
Performance Max serves ads across Google’s inventory from a single campaign. That makes it convenient, and it also makes it harder to judge whether the campaign is bringing in new customers or collecting conversions that would have happened anyway.
Performance Max Conversion Lift gives advertisers a way to test the whole campaign’s incremental effect. It can complement your existing reporting by adding an experiment-based view next to platform attribution.
It helps to be clear about what this does not do. Google’s documentation describes lift at the study and campaign level. Do not assume it reveals the contribution of each individual placement or channel inside Performance Max. Treat it as a measure of the campaign’s overall incremental impact.
Used well, lift evidence helps you compare campaign performance with more confidence and have more grounded conversations about budget.
Conversion Lift vs. Traditional Conversion Tracking
Neither method replaces the other. They answer different questions.
| Conversion tracking and attribution | Conversion Lift | |
|---|---|---|
| What it measures | Conversions credited to ad interactions | Additional conversions caused by ads, based on a controlled experiment |
| How results are read | Per campaign, keyword, or channel, using attribution settings | As a comparison between exposed and held-back groups, with confidence ranges |
| Question it answers | Which ads and campaigns got credit for conversions? | Did advertising generate conversions that would not have happened otherwise? |
| Best use | Daily optimisation and reporting | Validating impact and informing budget decisions |
| How to combine | Use for ongoing management | Use periodically to check whether reported results reflect real incremental value |
Conversion tracking remains essential. You need it for bidding, optimisation, and daily decisions. Lift testing adds a second, deeper check on whether the numbers reflect real impact.
Best Practices for Measuring Incremental Conversions
A lift study is only as useful as its design. These habits help:
- Define the business objective first. Decide whether you want to prove value, compare campaigns, or guide a budget change.
- Check that conversion tracking is set up correctly. Faulty tags weaken any result.
- Confirm eligibility and data requirements. Review the conversion and budget thresholds before you commit.
- Allow enough time. Google recommends running studies for more than 14 days, and results are most reliable at the end of the study.
- Account for seasonality, promotions, and outside influences. A sale, a competitor move, or a holiday can distort results.
- Avoid conclusions from small or inconclusive samples. Wide intervals signal uncertainty.
- Combine lift with CPA, ROAS, conversion value, and business outcomes. Incremental cost per action (iCPA) and iROAS are useful, but they sit alongside your wider metrics.
- Treat each test as one data point. One result is not a universal benchmark for every campaign or season.
For a deeper look at how results are calculated, read Google’s guide to understanding Conversion Lift measurement data.
How Businesses Can Improve Their Google Ads Strategy
Measurement only pays off when the rest of the account is sound. Lift results can show whether a campaign contributes, but the improvements come from the fundamentals.
- Accurate tracking. Make sure the actions you count reflect real business value, such as qualified leads or completed purchases rather than page views.
- Clear campaign structure. Separate brand and non-brand searches so you can judge each on its own merits.
- Relevant landing pages. An ad can earn the click, but the page decides the conversion.
- Creative testing. Compare messages and offers methodically, changing one thing at a time.
- Audience insights. Use what you learn about who converts to refine targeting and signals.
- Budget management. Move spend toward campaigns that show real incremental value.
Here is a practical example. Suppose a lift study suggests that your brand search campaign produces few incremental conversions, while a non-brand campaign produces many more. That does not mean you should switch brand ads off without thought. It does suggest the non-brand campaign deserves a closer look when you plan next quarter’s budget.
If you want expert help turning measurement into action, our Google Ads management service covers campaign setup, tracking, and ongoing optimisation.
Conclusion
Google’s expansion of Conversion Lift to Search and Performance Max gives more advertisers a route to incrementality testing. Instead of relying only on attributed conversions, you can design experiments that estimate the additional conversions your ads actually produce.
The best approach is to combine both views. Use conversion tracking for daily optimisation, and use lift studies to check whether your reported results match real business impact. Approach each study with clear goals, enough data, and realistic expectations, and no single test should be treated as the final word.
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