Google Adwords, Google Analytics, Industry Updates, SEM

Losing One of Google’s Oldest Ad Metrics – The Average Position

When we launch a Google search advertising campaign – we want to make sure that our ads are the most relevant to search queries.

Additionally – also that our bids for those keywords are optimal to deliver the maximum number of conversions possible –
– by minimal expenditure in reaching clientele-target KPIs.

Status Quo

Achieving these goals is possible upon knowing; where our ads appear on the search results page, a comparison of the different ad position performances, and optimising bids towards the most efficient.

Previously, Google had only one metric that could help us with that – Average Position (or Avg Pos). A commonly misunderstood metric – where marketers interpret this as being the actual position on SERPs, as opposed to the average.

However, understanding the paid search universe is never a simple feat.

Change Is Google law

In November 2018, Google admitted that digital marketeers faced a lot of misconceptions about the Average Position metric. In the announcement, Google also provided additional comments and introduced new search ad position metrics. These metrics ideally should have clarified any confusions around the obscure, SERP ad placements.

The announcement stated that Avg Pos was never meant to answer placement questions, but rather – show your ad performance in comparison to participating competitors in the auction. The 1st position usually meant that your ads won the auctions and overtook competitors. However, their exact appearance on the page was always a mystery…

Until November 2018 ….

…. With the release of the following 4 metrics – questions around the actual average position of our ad was made slightly transparent. However, not the average position of it in the auction.

  • Impr. (Absolute Top) % – the percentage of our ad impressions that are shown as the very first ad position above the organic search results.
  • Impr. (Top) % – the percentage of our ad impressions that are shown anywhere above the organic search results.
  • Search (Absolute Top) IS – the impressions we’ve received in the absolute top position divided by the estimated number of impressions we were eligible to receive in the top position.
  • Search (Top) IS – the impressions we’ve received in the top position compared to the estimated number of impressions we were eligible to receive in the top position.

The Absolute Top position in organic search results.


Google later introduced four new metrics related to Search Lost IS due to insufficient campaign budgets, low rank or insufficient bid amounts.

And lastly, Google updated smart bidding methods and let digital marketeers apply automated bid adjustments that were optimised towards target impression share.

1.5 Avg Pos metric


All those new metrics provided clarity to the Avg Pos situation. We could then determine that campaigns with the strong 1.5 Avg Pos metric may have had a very low impression share, and almost non-existing abs. This opened doors to expand the audience reach by increasing bids or relocating or increasing budgets.

But things changed …

It was easy to predict Google’s next move as when they give, they take something else away. Last month, after introducing one additional click share metric, this paid search giant “shocked” everyone with the announcement that “Yep, guys – we realised that you don’t even need Avg Pos anymore with all these more detailed impression share metrics.”

Competitive Metrics.


A marketer’s despair to this update just might be due to either their reluctance for change, or the fear towards loss of control of campaigns to Google. With new metrics, we can better target positioning anywhere on the page (at the top, at the absolute top or, really, “anywhere”), determine how often we want to appear there, and how much we are able to spend by setting max CPC.

Portfolio Bid Strategies.


We will have more control over the automated bid strategy in comparison with Target Keyword Position where we only set up the desired position and min and max CPC. And yet, let’s not see the world through rose-tinted glasses, this new Target IS bidding strategy is currently only available in the Google Ads interface and not at Search Ads 360 or other platforms. Plus, Target IS can’t currently be applied as an additional constraint to any other smart bidding methods, unlike Target Position. Hopefully, Google updates that soon enough.

But what if we want to know how we perform in the auctions in addition to the actual impression share? I guess in that case, we have to figure out how to calculate Average Position once it’s gone, or stop thinking of position as such a two dimensional metric. Thankfully, today we can use machine learning to reverse-engineer Avg Pos value from the new impression share metrics by using historical data for training. We definitely have some time to collect the data, there are rumours that Avg Pos will stay with us at least until September 2019. But do we really need it anyway?

Lean towards change, resistance is futile!

To summarise my thoughts on Avg Pos, we had an indirect view of where we stood in terms of competition. It was and still is a relative metric and until recently we did not know exactly what was it relative to.

The new metrics now give us not only that answer but also more insight into both the audience reach (Impression Share) and the share of voice (Search IS) that have direct (unlike Avg Pos) influence on the CPA through conversion rate and CPC as well as the number of conversions.

What we need to do now is find the right proportion of ingredients to reach target KPIs. Going forward, it would be great to gather more data on how those new metrics correlate with our CPA’s to find the optimal bidding strategy input. It’s great that we can use historical data for that as well, sounds like a nice task for a data analyst!

But what do you think: do we still need or want the Avg Pos metric? If so, I’d be delighted to hear your thoughts on this topic! Read more about Google AdWords on our Indago blog, and follow us on LinkedIn.

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