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Impr. (Abs. Top) %
from Google Ads
Metrics type
Units of measure
Percent / Ratio
More - better
Check frequency
The percent of your ad impressions that are shown as the very first ad above the organic search results.
Why it is important
You can use these metrics to understand changes in click-through rate (CTR) caused by a change in the location of your ads on the search result page.

We don’t recommend you use these metrics as a target to set your bids because, sometimes, they may decrease as bids increase. This happens as higher bids may allow you to enter more competitive auctions in a worse location.
Impressions on the absolute top / Impressions
Calculation example
Let's say your ad appears at the absolute top of the search results 300 times, and overall, your ad receives 1,000 impressions.

Impr. (Abs. Top) % = Impressions on the absolute top/Total Impressions × 100
Impr. (Abs. Top) % = 300/1,000 × 100
Impr. (Abs. Top) %=30%
Affected metrics
Affecting metrics
Connecting metrics
Ad Rank

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Suggested slices for dashboards
by Time Period
by Keyword-Level
by Device Type
by Campaign or Ad Group
by Quality Score
The revenue impact pathway
Available in JetMetrics Lite only
Questions to be Answered
1. How does the Impr. (Abs. Top) % metric relate to changes in click-through rates (CTRs) for e-commerce ads, and what can be learned about the effect of ad placement on user engagement and interaction?
2. Is it possible to track the trend of Impr. (Abs. Top) % over time to detect patterns or changes, giving advertisers insights into the dynamic nature of ad placement and potential chances for strategic adjustments?
3. What is the connection between Impr. (Abs. Top) % and conversion rates, and how can this data guide bid optimization and budget allocation strategies to maximize both visibility and conversion efficiency?
4. How does the competitive environment, including the number of competitors and their bidding strategies, affect the Impr. (Abs. Top) % metric, and how can advertisers use this information to refine their own bidding strategies for improved ad placement?
5. Can the performance of different product categories or campaigns be compared based on the Impr. (Abs. Top) % metric, providing insights into which segments benefit most from a top ad position and guiding resource allocation for optimal results?
6. How do changes in ad copy or creative elements influence the Impr. (Abs. Top) %, and how can advertisers use this information to optimize messaging and design for enhanced visibility in the absolute top ad positions?
7. What role does seasonality play in the Impr. (Abs. Top) % metric, and how can advertisers adjust bidding and ad strategies to align with seasonal trends and take advantage of peak periods of user engagement and conversion opportunities?
Possible causes of worsening
Tactics to improve this metric
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