In this article, we’ll explain the meaning of statuses within your study and Search Lift metrics.
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Search Lift study results
Search Lift studies last for 28 days, however you can get Search Lift results earlier depending on the amount of impressions in your measured ad campaigns. The more impressions running, the quicker you will get results and the highest chance you will have to measure statistically significantly positive lift results. Search lift results are only released if a study meets privacy thresholds, which require minimum impressions and search volume. You have a higher likelihood of meeting the privacy thresholds by following the budget recommendations and keyword recommendations.
Progress | What you will find in Google Ads |
Less than privacy minimums |
'Not enough data' |
Greater than privacy minimums | If there’s statistically significant, positive lift, we’ll report it. If not, we’ll report 'No lift detected'. |
Statuses
'X% relative lift'
An X% relative lift indicates that we've collected enough data to detect lift with high confidence. For example, a 25% increase in relative lift indicates that users exposed to your ads are 25% more likely to search for your brand or product. Learn more about the different Search Lift metrics.
'Not enough data'
'Not enough data' means that, based on the date range that you’ve selected, the amount of ad impressions and/or the number of searches made in that date range is below the minimum threshold required to surface results.
Fix 'not enough data'
There could be multiple reasons for not getting enough data for your study or an individual slice. To fix it, make sure that you wait until the end of your measurement and make sure that you spend your budget in full. Campaigns spending less than their budgets are a common issue leading to 'not enough data' but if you’re spending enough but are still not getting Search Lift results, check for the following:
Is your bid too low?
Recommendation: If your traffic is low despite broad targeting, consider raising your bid. If raising your bid means that you are hitting your budget cap, consider raising your budget to accommodate the higher bid.
Is the campaign targeting too narrow?
Have you selected the right search terms?
'No lift detected'
Sometimes a study with enough impressions will show 'No lift detected'. First of all, we recommend waiting until the end of the study to get a chance to find results as the resolution of the measurement will improve over time. If there still isn’t lift by the end of the study, it means that we couldn’t observe a statistically significant difference between the search behaviour from users who saw your video ad and those who didn’t. If you don't have lift at the study level, check if you have lift in specific segments, for example, search term, age, gender, campaign or device. Consider focusing on those segments with positive lift.
As with any media channel, some metrics are more difficult to move than others. Some audiences are more difficult to reach than others. It’s normal for studies to have no lift on certain metrics and audiences.
In addition, consider retesting with an improved setup. Retesting can also help confirm slice level results, which can have lower reliability due to cherry picking.
Below are a few things that you can do to improve your campaign’s set up, creative or targeting to increase the chances of noticing lift.
Set up your study correctly
Improve your creative
Limit exposure to your creative outside the lift study
- Avoid running YouTube video campaigns with non-YouTube channels like TV and other ad platforms at the same time as your test.
- Avoid running other video campaigns with a similar creative unless you add these campaigns to the lift study too.
- Set up and activate your study before campaigns have started.
Target the right viewers for your campaign
Search Lift metrics
Search Lift measurement data is available in the lift measurement section of Google Ads.
Check your Search Lift measurement data
Search Lift measurement data is only available in the lift measurement page. You can have an overview of your results in the 'Lift measurement' table.
- In your Google Ads account, click the Goals icon .
- Click the Measurements drop-down in the section menu.
- Click Lift measurement.
- Click the columns icon .
- Click Modify columns.
- Select Search Lift, then click Apply.
To view your detailed results, open your study details and go to the Search Lift tab.
Relative lift
Relative lift reports the percentage increase in search volume caused by your ads. This is calculated as (absolute increase in searches) / (baseline number of searches). For example, a relative lift value of 50% would mean that users exposed to your campaign were 50% more likely to search for your product or brand than those who weren’t.
Incremental searches (indexed) per impression
Incremental searches (indexed) per impression illustrates whether impressions from a given slice, for example, age group or gender, performed above or below your study’s average in driving searches. This indicates the effectiveness of a given slice. Incremental searches (Indexed) per impression greater than one is above average. Incremental searches (Indexed) per impression below one is below average.*
Example
Campaign A = 1.44
Campaign B = 0.72
Overall = 1
Interpretation
Campaign A performed 1.44x better at increasing a user's propensity to search per impression than campaign A and B together (overall result)
Campaign B underperformed when compared to your study average in terms of driving search behaviour per impression since the incremental searches (indexed) per impression is below the overall result.
Incremental searches (indexed) per cost
Incremental searches (indexed) per cost illustrates whether ad spend from a given slice (for example, age group or gender) performed above or below your study’s average in driving searches. This indicates the cost-effectiveness of a given slice. Incremental searches (indexed) per cost greater than 1 is above average. Incremental searches (indexed) per cost below one is below average.*
Example
Campaign A = 1.05
Campaign B = 0.97
Overall = 1
Interpretation
Campaign A performed 1.05x better at increasing a user's propensity to search per unit of cost than campaign A and B together (overall result).
Campaign B slightly underperformed when compared to your study average in terms of driving search behaviour per unit of cost.
Incremental searches (indexed) when slicing by search property
Incremental searches (indexed) illustrate the contribution of a search property (for example, YouTube or Google Search) to the overall lift of a specific search term. This indicates the effectiveness of a given property. Incremental searches (indexed) by search property is expected to total to 1.
Example
Google.com = 0.55
YouTube.com = 0.45
Interpretation
Google.com contributed 55% of the total incremental searches for the selected search term.
YouTube.com contributed 45% of the total incremental searches for the selected search term.
Incremental searches (indexed) when slicing by search term
Incremental searches (indexed) illustrate the contribution of a search term to the overall lift of the search term group. This indicates the effectiveness of a given search term. Incremental searches (indexed) by search term may add up to 1 as a search by a user in the study may apply to multiple search terms. For example, an ad for the Google Pixel which included references to the camera and a feature called Magic Eraser. A search for Google Pixel Camera would apply to the search term Google Pixel and Pixel Camera. Therefore, both of those terms will get credit for the search.
Example
Google Pixel = 0.91
Pixel Camera = 0.55
Magic Eraser = 0.22
Interpretation
Google Pixel was included in 91% of the total incremental searches for the search term group.
Pixel Camera was included in 55% of the total incremental searches for the search term group.
Magic Eraser was included in 22% of the total incremental searches for the search term group.
One can know from these results that this ad drove the most incremental searches for the brand name 'Google Pixel'. Between the two features highlighted, the ad drove more incremental searches for the Pixel Camera when compared with Magic Eraser.
Confidence interval
Based on your experiment data, we build a range of possible values for your lift metric that we find likely; this is called the confidence interval. For example, if you notice a relative lift of 35%, this is our best estimate of your lift and is called the point estimate. We also might share that our confidence interval for your relative lift goes from 30% to 40%. This means that there is a good chance that your relative lift is anywhere between 30% and 40%. As a lift study collects more data, the confidence intervals become smaller, reflecting the fact that your estimates are getting more precise and reliable.