Average Position
Average position indicates where your Google Ads typically appear on the search results page relative to other ads. While Google deprecated the exact average position metric, top impression share and absolute top impression share serve as modern proxies for ad placement visibility.
Google Ads metric
Average position indicates where your Google Ads typically appear on the search results page relative to other ads. While Google deprecated the exact average position metric, top impression share and absolute top impression share serve as modern proxies for ad placement visibility.
Full guide: definition, formula, and benchmarksWhy Average Position matters for Google Ads users
Ad position directly affects visibility, click-through rate, and the quality of traffic you attract. Ads in top positions capture more clicks but at higher costs. Understanding the relationship between position and downstream conversion economics is essential for bid strategy decisions.
Mapping position metrics in your metric tree reveals whether paying for top positions generates proportionally better business outcomes. Statistical correlations show whether higher positions drive better lead quality and conversion rates or merely more expensive clicks.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Average Position with KPI Tree
KPI Tree connects top impression share and absolute top impression share data from your warehouse. Map position metrics alongside CTR, CPC, and conversion rate in your metric tree.
Assign RACI ownership to your bid management specialist. Set alerts when position metrics drop on high-priority campaigns and track bid adjustments against their impact on downstream conversion.
Get started with your Google Ads data
Pull metrics from Google Ads directly through the Model Context Protocol.
Connect your existing warehouse where Google Ads data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Google Ads metrics Ready to add to your trees.
Impression Share
Paid AdvertisingImpression Share = (Impressions Received / Total Eligible Impressions) x 100
Impression share measures the percentage of eligible impressions your Google Ads actually received compared to the total impressions available for your targeted keywords and audiences. It indicates your market coverage and competitive presence in the paid search landscape.
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Click-Through Rate
Paid AdvertisingClick-Through Rate = (Clicks / Impressions) x 100
Click-through rate measures the percentage of Google Ads impressions that result in a click. It indicates how relevant and compelling your ads are to the audience seeing them, serving as a primary signal of ad-audience alignment and creative effectiveness.
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Cost per Click
Paid AdvertisingCost per Click = Total Ad Spend / Total Clicks
Cost per click measures the average amount paid for each click on a Google Ads advertisement. It reflects the competitive intensity of the keywords and audiences you target, the quality of your ads, and the effectiveness of your bidding strategy.
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Quality Score
Paid AdvertisingQuality score is Google Ads' rating of the overall quality and relevance of your keywords, ads, and landing pages. Scored from 1 to 10, it combines expected click-through rate, ad relevance, and landing page experience to influence your ad rank and actual cost per click.
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Bid Strategy Performance Analysis
Paid AdvertisingBid strategy performance analysis evaluates the effectiveness of different Google Ads bidding approaches - including manual CPC, target CPA, target ROAS, maximise conversions, and maximise conversion value. It compares how each strategy performs on cost efficiency, conversion volume, and return on ad spend.
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