Google Ads Auction Insights Report Explained

The Google Ads auction insights report in plain English - what every column means, how to read overlap rate and outranking share, and how to report it well.

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The Google Ads auction insights report is the closest thing the platform gives you to a view of your competition. It tells you which other advertisers turned up in the same auctions as you, how often, and who tended to sit higher on the page.

It is also the report clients misread more than any other. Someone sees a competitor at 60% overlap rate, decides that competitor is "beating us", and you spend the first ten minutes of the call unpicking a metric that means something quite different.

This guide explains every column in the report, what each one is actually measuring, what the data cannot tell you, and how to put it in a client report so it lands as insight rather than as a wall of percentages. If impression share is still fuzzy for you, start with our breakdown of what impression share means in Google Ads and come back.

Last updated: August 2026

Key takeaways

  • The Google Ads auction insights report compares your performance with other advertisers who entered the same auctions as you, for Search and Shopping campaigns.
  • Overlap rate is how often another advertiser got an impression in an auction where you also got an impression. It is not market share and it is not a measure of their spend.
  • Outranking share is how often your ad ranked higher than theirs plus how often you showed when they did not, measured across every auction you entered.
  • Position above rate only counts auctions where both ads showed, which is why it never simply mirrors outranking share.
  • Auction insights shows relative, sampled data from your own auctions only. It cannot show competitor budgets, bids, cost per click or conversion volume.

What this guide covers

  1. What the Google Ads auction insights report is
  2. Where to find it in the Google Ads interface
  3. What every auction insights metric means
  4. Overlap rate in Google Ads, and what it actually measures
  5. Outranking share meaning, and why it is not the inverse of position above rate
  6. What the report cannot tell you
  7. How to report auction insights to clients
  8. FAQs

What is the Google Ads auction insights report?

The Google Ads auction insights report is a comparison report that shows how your ads performed against other advertisers who participated in the same auctions. It is available for Search and Shopping campaigns, and can be run at campaign, ad group or keyword level.

The report identifies other participants by their display URL domain, and it only lists advertisers who cleared a minimum activity threshold in the date range you selected. That threshold is why a competitor you know is active can be missing from a short date range and present in a longer one.

Everything in the report is relative to you. Every row is calculated from the auctions you entered, not from the whole market. Google Ads Help documents this in its Auction Insights report article, and it is worth quoting to any client who thinks they are looking at a full competitive landscape.

One term worth defining first: Ad Rank is the score Google uses to decide whether your ad shows and where it sits, calculated from your bid, ad and landing page quality, the search context and expected impact from assets. Auction insights is a summary of how your Ad Rank stacked up against everyone else's over a period.

Where to find the auction insights report in Google Ads

You reach auction insights by selecting rows first, then running the report on that selection. In the current Google Ads interface, go to Campaigns, tick the campaigns, ad groups or keywords you want to analyse, then open the auction insights report from the reports menu.

Run it at the tightest level you can. An account-level report blends brand terms, generic terms and competitor terms into a single average that hides everything interesting. A single ad group of high-intent generic keywords tells a far better story.

Then segment it. Auction insights can be segmented by time and by device, which is where the useful patterns live. A competitor that only overlaps with you on mobile, or one whose overlap rate has climbed week on week since June, is a finding. A static account-wide table is not.

What every auction insights metric means

Here is the full set of columns, in plain English. Definitions follow Google Ads Help.

MetricWhat it measuresSearchShopping
Impression shareThe impressions you received divided by the estimated impressions you were eligible to receiveYesYes
Overlap rateHow often another advertiser's ad got an impression in an auction where your ad also got an impressionYesYes
Position above rateHow often the other advertiser's ad appeared in a higher position than yours, counting only auctions where both ads showedYesNo
Top of page rateHow often the ad appeared anywhere above the organic search resultsYesNo
Absolute top of page rateHow often the ad appeared as the very first ad above the organic resultsYesNo
Outranking shareHow often your ad ranked higher than the other advertiser's, plus how often your ad showed when theirs did not, across all auctions you enteredYesYes

Shopping campaigns get the three that make sense for a shopping unit: impression share, overlap rate and outranking share. Position and top-of-page columns do not apply, because Shopping results are not ranked in the same single-column ladder as text ads.

Google has also extended auction insights beyond Search and Shopping in recent releases, including Performance Max. Campaign-type coverage moves, so check the current Google Ads Help article for auction insights before you promise a client a view you cannot actually pull.

Overlap rate in Google Ads - what it actually measures

Overlap rate in Google Ads is the percentage of auctions where you received an impression in which another named advertiser also received an impression. High overlap means you keep meeting the same advertiser. It says nothing about who won.

This is the single most misread number in the report. A 70% overlap rate does not mean a competitor is taking 70% of the market, outbidding you 70% of the time, or spending seven times what you do. It means that in 70 out of every 100 auctions where your ad showed, theirs showed too.

The denominator matters. Overlap rate is anchored to your impressions, so a small, tightly targeted advertiser bidding on exactly your ten best keywords can post a very high overlap rate on a fraction of your budget. A large advertiser with broad category coverage might show a modest overlap rate simply because your keyword set is narrow.

Read overlap rate as a frequency-of-contact number, then use position above rate and outranking share to answer the "who won" question. Paired with the search terms report, it also helps you work out where you are meeting a competitor, which is usually more actionable than how often.

Outranking share meaning, and why it is not the inverse of position above rate

Outranking share meaning, stated once and clearly: it is how often your ad ranked higher in the auction than another advertiser's ad, plus the auctions where your ad showed and theirs did not, divided by all the auctions you entered.

Position above rate is calculated on a narrower base. It only counts auctions where both ads showed at the same time, and it reports how often theirs appeared above yours.

Those different denominators are why the numbers rarely add up the way people expect. You can hold a healthy outranking share against a competitor mostly because you show up in auctions they never enter, while still losing the head-to-head whenever you both appear. That is a real strategic finding: your coverage is stronger, your position on shared terms is weaker, and the fix is a bidding or quality problem on a subset of keywords rather than an account-wide budget problem.

The reverse pattern matters too. A low outranking share with a low position above rate usually means the other advertiser is appearing in auctions where you are absent, which is a coverage question. Check impression share lost to budget and to rank before you touch bids, and model the spend implications with our Google Ads budget calculator.

What the auction insights report cannot tell you

The auction insights report cannot show you competitor budgets, bids, cost per click, click-through rate, conversions or return on ad spend. None of that data is in it, and no amount of arithmetic will produce it. If a client asks what a competitor is spending, the honest answer is that Google does not publish it.

Four more limits worth knowing before you build a slide around it:

  • It is your auctions only. Advertisers competing in auctions you never entered do not appear at all, so the report understates the field.
  • The domains are not always competitors. Affiliates, resellers, comparison sites, recruiters and your own partner brands turn up constantly, particularly on brand terms.
  • Impression share here is an estimate. Google models the eligible-impressions denominator rather than counting it, as noted in the Google Ads Help impression share documentation.
  • Small date ranges get thin. Advertisers below the activity threshold are excluded, so short windows can look artificially calm.

None of this makes the report weak. It makes it a directional competitive signal rather than a scoreboard, and that is exactly how it should be described to a client.

How to report auction insights to clients

Auction insights lands badly in client reports because it usually arrives as a raw six-column table with eight domain names in it. Clients do not read tables of percentages. They read a sentence that tells them what changed and what you are doing about it.

We built ReportsMate email-first because, after years around agency reporting, the competitive context clients most wanted was buried three clicks into a dashboard they never logged into. The report that lands in the inbox is the one that gets read, and a two-line competitive note in a branded email does more for retention than a dashboard nobody opens.

Google Ads is where most of this demand sits. Across the platform connections agencies have made in ReportsMate, roughly 40% are Google Ads accounts, more than any other single platform we support.

A workable pattern for the auction insights section of a monthly report:

  1. Name the trend, not the table. "Two new advertisers entered our top-of-funnel auctions in July, and our absolute top of page rate on those terms fell."
  2. Show one segmented view. Overlap rate by week for the three domains that matter, not all eight.
  3. Separate coverage from competitiveness. Say plainly whether you are losing auctions you enter, or missing auctions entirely.
  4. State the action. Bid adjustment, ad copy test, negative keyword, budget request. One of those, with a reason.
  5. Keep the cadence fixed. Reporting cadence is just the rhythm you send at. Competitive data is only useful as a trend, so a consistent monthly send beats an occasional deep dive.

That is the shape of the automated Google Ads reports ReportsMate sends. Connect the account through our Google Ads integration, pick a schedule, and the performance summary goes out as a branded email under your own domain and logo. White-label here means the report carries your agency's branding and sender identity, not ours. You can see the full flow on our how it works page.

Frequently asked questions

Q: What is the Google Ads auction insights report used for?

A: It is used to understand who else competes in your auctions and how your Ad Rank compares to theirs over a period. Agencies use it to spot new entrants, track whether a known competitor is becoming more aggressive on specific keyword themes, and decide whether a drop in impression share is a coverage problem or a competitiveness problem. It is a diagnostic tool that sits alongside impression share, search terms and Quality Score data rather than replacing any of them, and it works best when you run it on a single ad group instead of the whole account.

Q: How is overlap rate calculated in Google Ads?

A: Overlap rate is the number of auctions in which both your ad and the other advertiser's ad received an impression, divided by the total number of auctions in which your ad received an impression. Because the denominator is your impressions, the figure describes how often you two meet, not how large that advertiser is. A niche competitor bidding on a handful of your best terms can post a high overlap rate on a small budget. Always pair it with position above rate before drawing any conclusion about who is winning.

Q: What does outranking share mean in simple terms?

A: Outranking share means the share of all your auctions in which you came out ahead of a specific competitor, either by ranking above them or by showing when they did not appear at all. It rolls two advantages, better rank and better coverage, into one number. That is why it can look healthy even when you routinely sit below that competitor in head-to-head auctions. If you want the pure head-to-head view, read position above rate instead, which only counts auctions where both ads showed.

Q: Can I see how much a competitor spends on Google Ads?

A: No. Google Ads does not publish competitor budgets, bids, cost per click or conversion data, and none of it can be derived from the auction insights report. The report only contains relative visibility and position metrics for the auctions you entered. Third-party estimation tools exist, but their figures are modelled rather than sourced from Google, so treat them as directional at best and never present them to a client as fact.

Q: Why do competitors appear and disappear from my auction insights report?

A: Google only lists advertisers that meet a minimum activity threshold within the date range you selected, so genuinely low-volume participants are filtered out. Change the date range and the list changes with it. Real changes in competitor activity, seasonal advertisers, budget exhaustion mid-month and geographic or device targeting shifts all cause movement too. Before treating a disappearance as good news, rerun the report over a longer window and check whether the advertiser is simply below the threshold.

Q: Is auction insights available for Performance Max and Shopping?

A: Shopping campaigns support impression share, overlap rate and outranking share. Position above rate and the top-of-page metrics do not apply, because Shopping units are not ranked in a single vertical ladder. Google has extended auction insights coverage to Performance Max as well, though the available columns differ from Search. Campaign-type support changes with platform releases, so confirm against the current Google Ads Help article before committing to a specific view in a client report.

Q: How often should I check auction insights?

A: Monthly is enough for most accounts, aligned to your reporting cycle, with a weekly segmented check on high-spend ad groups during competitive periods such as a sale season. Competitive data is noisy over short windows, so daily monitoring mostly produces false alarms. What matters is consistency: the same ad groups, the same segmentation, the same date comparison every cycle, so a genuine shift stands out. Our guide to how often agencies should send client reports covers cadence in more depth.

Final tips

Run auction insights narrow, segmented and regularly. Account-level snapshots taken once a quarter tell you almost nothing; a segmented weekly trend on your five most valuable ad groups tells you when something real has changed.

Translate before you publish. Overlap rate is frequency of contact. Position above rate is the head-to-head result. Outranking share is rank advantage plus coverage advantage. Say those things in words and the numbers stop generating confused questions. Our post on Google Ads metrics explained for clients covers the rest of the vocabulary that trips clients up.

And be honest about the limits. The Google Ads auction insights report is a directional competitive signal drawn from your own auctions, not a market share study. Clients respect the distinction, and it protects you when a competitor's overlap rate swings for reasons neither of you controls.

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