Google Ads Auction Insights & Competitor Analysis

Last updated: October 8, 2026

1. Executive Summary

Google Ads Auction Insights is the most reliable source of competitive auction data available to Search, Shopping, and—as of mid-2026—Performance Max advertisers in the United States. Used correctly, it reveals how much eligible auction volume you are capturing, which competitors you regularly face, and whether your primary constraint is budget, Ad Rank, or both. Used incorrectly, it drives unnecessary bid inflation, misallocated budget, and decisions based on visibility rather than profit.

Five principles govern best practice in October 2026:

• Principle 1 — Diagnose before you spend. Always determine whether lost impression share is caused by budget or by Ad Rank before authorizing a budget increase or a bid change. The two problems require different solutions, and confusing them wastes money.
• Principle 2 — Read metrics in combination, not isolation. Overlap rate, position-above rate, outranking share, top-of-page rate, and absolute-top-of-page rate each answer a different question. A competitor with 70% overlap but a low position-above rate is a very different competitive threat from one with 40% overlap and a 90% position-above rate on your highest-value terms.
• Principle 3 — Prioritize profit, not position. Winning an auction that destroys margin is worse than losing it. Evaluate every competitive response against incremental conversions, CPA, ROAS, contribution margin, and customer lifetime value—not against impression share alone.
• Principle 4 — Treat third-party tool data as directional hypotheses. Platforms such as Semrush and SpyFu provide modeled estimates of competitor spend, keywords, and ad history. Validate every hypothesis with Google Ads first-party data, Keyword Planner, and live SERP observation before acting on it.
• Principle 5 — Compare trends over consistent windows. A single snapshot of Auction Insights can be distorted by promotions, seasonality, budget pacing, or a competitor’s short-term test. Rolling 28-to-30-day comparisons segmented by brand, non-brand, device, location, and campaign type produce durable signals; isolated snapshots produce noise.

2. Benchmarks and Numbers at a Glance

The table below consolidates published benchmark figures relevant to Auction Insights analysis and competitive decision-making. All figures are vendor claims from sources cited; none represents an independently audited study. Where a figure is a vendor claim rather than a peer-reviewed study, the Applies when column states that explicitly. Use these numbers as directional reference points, not as guaranteed outcomes for any individual account.

Metric	Typical range or threshold	Applies when	Source
Average search impression share, cross-industry	37%	Vendor claim; cross-industry aggregate; U.S. market not separately stated	[1]
Top-performer search impression share	65%+	Vendor claim; top-quartile advertiser benchmark; U.S. market not separately stated	[1]
Home Services median impression share	41%	Vendor claim; applies to Home Services vertical advertisers	[1]
Legal median impression share	44%	Vendor claim; applies to Legal vertical advertisers; competitive CPC environment	[1]
Non-brand search impression share lost to rank	38%	Vendor claim; non-brand Search campaigns; indicates Ad Rank improvement is the primary lever	[1]
Non-brand search impression share lost to budget	32%	Vendor claim; non-brand Search campaigns; indicates budget reallocation or increase may help	[1]
Brand search impression share lost to budget	15%	Vendor claim; brand Search campaigns; brand terms typically have lower budget loss than non-brand	[1]
Brand search impression share lost to rank	20%	Vendor claim; brand Search campaigns; quality and ad relevance improvements are the priority lever	[1]
Shopping impression share lost to budget	41%	Vendor claim; Shopping campaigns; budget is the primary constraint more often than for Search	[1]
Competitor-keyword CPC vs. generic-category CPC (B2B)	2–5× premium ($10–$25 vs. $5–$12 per click)	Vendor claim; B2B market; reflects lower Quality Scores and navigational intent on competitor terms	[2]
Competitor-keyword conversion rate (B2B)	1–3%	Vendor claim; B2B market; approximately 50% of the rate achieved on category keywords	[2]
Own-brand conversion rate (B2B)	8–15%	Vendor claim; B2B market; applies when brand terms are tightly structured in a dedicated campaign	[2]
Competitor-keyword impression share at equal budget	15–25%	Vendor claim; same-budget comparison against category keywords; reflects quality and relevance disadvantage	[3]
Category-keyword impression share at equal budget	70–85%	Vendor claim; same-budget comparison; reflects stronger Quality Scores on owned-category terms	[3]
Competitor-keyword clicks per $1,000/month	40–60 clicks	Vendor claim; at $10–$25 CPC; U.S. market not separately stated	[3]
Overlap rate threshold warranting active brand defense	≥25% competitor overlap on brand terms	Practitioner decision threshold, not a Google rule; actual threshold depends on brand economics and organic visibility	[4]

3. What Auction Insights Tells You

Google Ads Auction Insights compares your ad performance with other advertisers participating in the same auctions during the selected date range.^[5] The report is available at the campaign, ad group, and keyword level for Search and Shopping campaigns, and—following its expansion in mid-2026—for Performance Max campaigns as well.^[6] It does not reveal competitor bids, budgets, conversion data, Quality Scores, or profitability. What it does reveal is a set of relative visibility and positioning metrics that, read together and trended over time, allow a senior marketer to identify competitive pressure, diagnose its cause, and prioritize a response.

The six core metrics are:

• Impression share: Your impressions divided by the estimated impressions for which you were eligible.^[5] This measures how much available auction volume you captured, but it does not identify whether budget, Ad Rank, targeting, or search-volume changes caused any gap.
• Overlap rate: The percentage of your impressions in which a specific competitor also received an impression.^[5] High overlap means frequent shared auctions, not that the competitor is winning them or taking your conversions.
• Position-above rate: The percentage of auctions where a competitor’s ad appeared above yours when both ads showed.^[5] Available for Search; read alongside overlap rate to assess real competitive threat.
• Top-of-page rate: The percentage of your impressions that appeared above the organic results.^[5] This is not the same as first paid position.
• Absolute-top-of-page rate: How often your ad was the very first paid result on the page.^[7] This is the narrower, higher-quality visibility metric.
• Outranking share: The percentage of auctions where your ad ranked above a competitor’s, or where your ad appeared and the competitor’s did not.^[5] Because it includes auctions where the competitor was absent entirely, outranking share is not the same as a head-to-head win rate.

A practical diagnostic sequence is: check your impression share first, then identify whether loss is due to budget or rank, then use overlap and position-above rate to prioritize which competitors deserve a response, and finally use top-of-page and absolute-top rates to assess visibility quality.^[8] This sequence prevents the common error of responding to a competitor’s presence before knowing whether you have the budget or Ad Rank to compete economically.

Metric availability differs by campaign type. Search and Shopping reports do not expose identical measures, and Performance Max competitive data should be analyzed separately because its eligible auctions and inventory mix differ from standard Search.^[5][6] Outside the US, feature availability for certain campaign types and markets may vary; check the Google Ads Help Center for your specific region.

4. Impression Share and Lost IS (Budget vs. Rank)

Impression share (IS) is the foundation metric of Auction Insights analysis. The cross-industry average for Search is 37%, and top-performing accounts achieve 65% or above.^[1] However, the raw IS figure tells you only how much you captured; the lost IS columns tell you why you missed the rest. Google Ads splits lost impression share into two causes: loss due to budget and loss due to Ad Rank. These require fundamentally different responses, and diagnosing them correctly before taking action is the single most important habit in competitive analysis.

Lost IS (budget) means your campaigns ran out of money during the day or were limited by a shared budget that prioritized other campaigns. The correct first response is not automatically to increase spend; it is to ask whether the impressions being missed are profitable enough to justify the additional cost. Reallocate budget from lower-value campaigns, audiences, locations, or dayparts before authorizing a gross spend increase.^[8]

Lost IS (rank) means your Ad Rank—determined by bid, Quality Score, expected CTR, ad relevance, landing-page experience, assets, and auction-time context—was insufficient to enter or win eligible auctions. For non-brand Search campaigns, the benchmark lost-to-rank figure is 38%, compared with 32% lost to budget.^[1] This means rank improvement, not budget, is the primary lever for most non-brand Search advertisers. Improving ad relevance, tightening query-to-ad-group mapping, strengthening landing pages, and adding assets can increase Ad Rank without raising bids.^[8]

For brand campaigns, the dynamic is different: the benchmark shows only 15% lost to budget and 20% lost to rank.^[1] Brand terms typically have high Quality Scores and lower competitive pressure per impression, so losses are smaller overall. For Shopping campaigns, budget is the dominant constraint at 41% lost to budget versus 31% lost to rank,^[1] meaning budget reallocation tends to produce faster recovery than feed or bid optimization alone.

5. Overlap, Outranking, and Position Metrics

Once you have diagnosed your impression share position, the next layer of Auction Insights analysis focuses on who you are competing against and how each competitor is positioned relative to you. Three metrics do this work: overlap rate, position-above rate, and outranking share. Each answers a distinct question, and each is prone to misinterpretation when read in isolation.^[5]

Overlap rate tells you how frequently a competitor appeared in auctions where you also appeared. A 70% overlap rate does not mean the competitor is winning 70% of those auctions—it means they were present in 70% of your eligible impressions. High overlap identifies the competitors most worth monitoring; it does not rank their threat level.

Position-above rate tells you, of the auctions where both ads showed, how often the competitor’s ad was above yours. A competitor with 60% overlap and 85% position-above rate is consistently outranking you in shared auctions. A competitor with 90% overlap and 20% position-above rate appears frequently but rarely above you—a fundamentally different competitive situation. These two numbers must always be read together.^[8]

Outranking share is the broadest head-to-head metric: it counts auctions where you ranked above the competitor plus auctions where you appeared and they did not. Because it includes their absences, a high outranking share can reflect the competitor’s budget running out mid-day as much as it reflects your Ad Rank superiority. Do not use outranking share alone to declare competitive dominance.

Top-of-page rate and absolute-top-of-page rate measure visibility quality for your own ads. A top-of-page rate of 75% with an absolute-top rate of 20% means you are consistently appearing above organic results but rarely in the coveted first paid slot. For high-intent commercial terms, this gap matters for CTR and, consequently, for conversion volume.^[7]

6. Identifying and Profiling Competitors

Effective competitor identification starts inside Google Ads, not with an executive’s list of known brands or a third-party tool’s output. The Auction Insights report reveals the advertisers actually bidding in your auctions—which frequently includes aggregators, affiliates, marketplaces, and vertical specialists that do not appear on sales-team radar.^[5]

A practical prioritization framework groups competitors into three tiers:

• Tier 1 — Direct auction threats: Advertisers with overlap rate ≥50% and position-above rate ≥60% on your highest-value keyword themes. These demand active monitoring and a structured response plan.
• Tier 2 — Frequent but lower-positional competitors: Advertisers with overlap rate ≥50% but position-above rate below 40%. Monitor monthly; act only when position-above rate rises.
• Tier 3 — Peripheral participants: Advertisers with overlap rate below 30%. Log them but do not allocate significant analysis resources until overlap rises.^[4]

For each Tier 1 competitor, build a profile that includes: their domains in Auction Insights, the keyword themes where they have highest overlap, their top-of-page and absolute-top-of-page rates, their observed ad copy patterns (from live SERP checks and Google’s Ads Transparency Center), their landing-page offer structure, and their visible asset usage. Validate the Auction Insights competitor list with live SERP observation across devices and locations, but treat manual SERP checks as observational, not measurement-quality data, because ad delivery varies by auction conditions, personalization, geography, and budget pacing.^[7]

Separate your competitor analysis by keyword intent: brand terms, high-intent non-brand terms, and research-stage terms often attract entirely different competitor sets. A marketplace that dominates research queries may not appear on your highest-converting purchase-intent terms. Building a single competitor profile across all keyword types obscures this distinction and produces inaccurate competitive threat assessments.^[8]

7. Benchmarking and Trends Over Time

A single Auction Insights export is rarely sufficient for decision-making. Short observation windows are distorted by promotions, budget pacing, dayparting, competitor testing, and normal auction volatility. Durable competitive signals emerge from consistent trend analysis over rolling 28-to-30-day periods, month-over-month comparisons, and year-over-year seasonal controls.^[8]

Build a structured benchmark log that records, for each period and each priority competitor: your impression share, their overlap rate, their position-above rate, your outranking share against them, your top-of-page rate, and your absolute-top-of-page rate. Also record your lost IS (budget) and lost IS (rank) for the same period. Pair every Auction Insights export with the corresponding Change History export so that your own campaign changes do not get misread as competitor behavior.

Use vertical benchmarks as context, not targets. Legal accounts at 44% impression share and Home Services accounts at 41% are operating at their respective medians.^[1] An account below the vertical median has reason to diagnose the cause; an account above it should focus on efficiency rather than expanding IS for its own sake. The top-performer threshold of 65%+ IS applies broadly but is a vendor claim rather than an independently audited figure.^[1]

Seasonal benchmarking is especially important in verticals with predictable demand cycles: HVAC (summer and winter peaks), retail (Q4), tax services (Q1), and lawn care (spring). Compare the same calendar weeks year-over-year rather than comparing October to September; the latter conflates seasonal change with competitive shift.

8. Researching Competitor Ads and Landing Pages

Auction Insights tells you who you are competing with and how often they appear above you. It does not tell you what their ads say, what offers they are making, or how well their landing pages convert. That intelligence requires a separate research workflow combining SERP observation, Google’s Ads Transparency Center, and—where applicable—third-party tools such as Semrush and SpyFu.^[7]

For each Tier 1 competitor identified in Section 6, document the following in a repeatable ad-monitoring log:

• Search query and keyword theme observed
• Date, time, device (desktop and mobile separately), and location
• All visible headlines and descriptions
• Promotions, prices, guarantees, and calls to action
• Asset extensions: sitelinks, callouts, structured snippets, image assets, lead-form assets
• Landing-page URL and whether it is a dedicated PPC path or a generic homepage
• Ad orientation: brand, generic, comparison, or retargeting-style messaging

When auditing landing pages, evaluate six dimensions using a consistent scorecard: message match between ad and page, above-the-fold clarity of the offer, intent alignment (purchase or quote page vs. generic page), offer strength (price, trial, guarantee, consultation), trust signals (reviews, certifications, contact details), and conversion friction (form length, required fields, checkout steps).^[7] Do not infer conversion performance from visual design quality alone—a polished page may have poor economics, and a minimal page may convert well on narrow intent.

Use Google’s Ads Transparency Center for creative and advertiser identity research. Third-party tools such as Semrush and SpyFu can surface historical ad copy and estimated keyword lists, but label all outputs as hypotheses and validate against live SERP checks and your own Keyword Planner data before acting.^[7] Do not copy competitor claims, trademarks, or superiority statements; test differentiated propositions that your business can truthfully substantiate.

9. Acting on the Data (Bids, Budget, Defending Brand)

Auction Insights is a diagnostic tool, not a mandate to outbid every competitor who appears above you. The correct response to competitive pressure depends on whether the constraint is budget or rank, whether the affected queries produce profitable conversions, and whether you have a differentiated offer that makes additional visibility economically worthwhile.^[8]

Responding to budget constraints

If profitable campaigns are losing IS to budget, first reallocate from lower-value campaigns, devices, locations, or time periods before increasing gross spend. Authorize incremental budget only for campaigns where the marginal CPA, ROAS, or contribution margin at that additional impression volume is acceptable. Stage budget increases ahead of predictable seasonal demand, then reduce when the opportunity passes.^[8]

Responding to rank constraints

Do not reflexively increase bids when IS is lost to rank. Follow this sequence: confirm affected queries are commercially valuable in the Search Terms report; improve ad-to-keyword and ad-to-landing-page alignment; test stronger messaging and assets; tighten targeting to eliminate weak segments diluting performance; then increase bids only for the valuable segment that remains constrained after those changes.^[8] For automated bidding strategies, set a clear Target CPA or Target ROAS, ensure conversion tracking is reliable, and use budget changes large enough to be meaningful. Competitive data informs the target and allocation—it does not replace first-party conversion data.

Defending brand terms

Brand defense should be grounded in incremental value and risk, not a goal of winning 100% of branded auctions. Run a dedicated brand campaign with its own budget, exact or tightly controlled brand keyword coverage, brand-specific ad copy and assets, and negative keywords excluding generic or competitor intent.^[8] A 2026 practitioner guide suggests treating competitor overlap below approximately 10% on brand terms as potentially low urgency and investigating more aggressively at 25% or above^[4]—but these are decision thresholds, not Google rules. The correct threshold for your account depends on brand economics, organic visibility, competitor intent, and the conversion value of branded traffic.

Measure whether brand campaigns add incremental value rather than simply reporting cheap branded conversions. Use geographic or time-based holdout tests, compare brand paid clicks with organic branded clicks, and monitor total branded conversion volume across channels—not just within paid.^[8]

Competitor-keyword bidding: a cost-benefit framework

Bidding on competitor brand terms carries a predictable efficiency penalty. At the B2B benchmarks, competitor keywords generate 1–3% conversion rate and 40–60 clicks per $1,000 spent, while own-brand terms generate 8–15% conversion rate and own-category terms produce 150–200 clicks per $1,000.^[3][2] A competitor-keyword CPA at 2% conversion rate and $17 average CPC is $17 ÷ 0.02 = $850 per conversion. The same $850 on brand terms at $2 CPC and 11% conversion rate yields 425 clicks and approximately 47 conversions. Allocate competitor-keyword budget only after brand and high-intent category terms are fully funded and where the account’s customer lifetime value makes an $850+ CPA economically viable.

10. Third-Party Competitive Tools

No third-party platform has access to Google’s auction data. Semrush, SpyFu, Ahrefs, and similar tools build estimates from their own crawls, panel data, and modeling—outputs that are directional and may be incomplete or outdated, especially in smaller US markets or niche verticals.^[7] Treat every third-party competitive figure as a hypothesis to be validated, not a fact to act on.

The appropriate workflow is to start with Google Ads first-party data (Auction Insights, Search Terms, Keyword Planner) and use third-party tools to discover gaps and themes that your own data does not surface—then validate those findings through live SERP checks and conversion economics before acting.^[7]

Tool or source	Best use in competitive analysis	Primary limitation	Recommended role
Google Ads Auction Insights	Actual auction overlap, IS benchmarking, position-above rate, outranking share	Requires active, eligible Google Ads data; does not expose bids, budgets, or conversions	Primary source; use as the anchor for all competitive decisions
Google Ads Keyword Planner	Query discovery, search-volume estimates, competitor landing-page seed keywords	Volume estimates are directional; does not reveal verified competitor bids or spend	Secondary discovery tool; validate third-party keyword claims
Google Ads Transparency Center	Creative research, advertiser identity verification, ad format observation	Coverage and historical depth vary by format and market	Use for ad copy and asset monitoring of Tier 1 competitors
Semrush	Paid-keyword discovery, ad-history research, domain comparisons, broader SEO/PPC context	Modeled data; can be incomplete for smaller US markets or niche verticals	Hypothesis generation; validate outputs with Keyword Planner and live SERPs
SpyFu	Historical ad copy, keyword timelines, competitive PPC pattern analysis	Historical and estimated data may not reflect current-week delivery	Historical context for ad copy trends; do not use as current spend data
Ahrefs	Paid/organic keyword and landing-page research	Paid-search coverage and accuracy vary significantly by US market and vertical	Supplementary; strongest for organic cross-referencing of paid keyword themes
Screaming Frog	Crawling competitor landing pages: titles, headings, redirects, internal links, technical structure	Cannot determine ad performance, conversion rate, or profitability	Landing-page audit support for Tier 1 competitor pages
Google Ads API (BenchmarksService)	Percentile-based competitive standing, category-level share-of-voice, aggregate benchmark metrics	API access required; broader benchmark data, not a replacement for in-product Auction Insights	Structured benchmarking for teams with API infrastructure; complements, does not replace, Auction Insights

11. Common Mistakes to Avoid

Auction Insights analysis is subject to a predictable set of interpretation errors that cause unnecessary spend increases, misdirected strategy changes, and decisions based on competitive visibility rather than competitive profit. The following are the most consequential mistakes observed in 2026 practice.

• Treating impression share as market share. Impression share covers estimated eligible Google Ads impressions under your specific targeting and auction conditions—not total category demand, organic search, other channels, or offline activity.^[5]
• Reacting to overlap rate without reading position-above rate. A competitor with 85% overlap and 15% position-above rate is far less threatening positionally than one with 45% overlap and 88% position-above rate. Both metrics are required for a valid assessment.^[5]
• Raising bids to fix a rank problem caused by relevance. When IS loss is rank-driven and the root cause is low Quality Score or poor landing-page experience, a bid increase produces a more expensive, not a better, ad. Fix relevance first.^[8]
• Increasing budget to fix a rank problem. Budget changes have no effect on lost IS (rank). Confirm the diagnosis before acting.
• Using a single short date range. A 7-day window can be distorted by a competitor’s budget pacing, a promotion, a holiday, or an internal campaign change. Use rolling 28-to-30-day periods and year-over-year comparisons.^[8]
• Treating third-party tool spend estimates as verified competitor data. Semrush, SpyFu, and similar platforms produce modeled estimates. Their competitor-spend figures carry no verification guarantee and should drive hypotheses, not direct budget decisions.^[7]
• Conflating top-of-page rate with absolute-top-of-page rate. Top-of-page rate measures appearance above organic results; absolute-top rate measures the first paid position. Using the wrong metric to evaluate first-position dominance produces inaccurate conclusions.^[7]
• Combining PMax, Search, and Shopping into one competitive conclusion. As of mid-2026, Auction Insights is available for all three campaign types, but their eligible auctions and inventory environments differ materially. Analyze each separately.^[6]
• Optimizing for outranking share as a goal. Higher outranking share that does not produce incremental conversions at an acceptable CPA or ROAS is a cost, not an achievement.^[8]
• Running repeated manual Google searches to check your ads. Manual searches accumulate impressions without clicks, which can depress your CTR signal and affect Quality Score calculations. Use Ad Preview and Diagnosis instead.^[8]
• Assuming every Auction Insights domain is a true business competitor. The report includes any advertiser participating in auctions that match your eligibility—aggregators, affiliates, resellers, and informational publishers may appear without being genuine commercial competitors.^[5]

12. What Changed Recently (Last 30 Days)

The most significant confirmed change to Google Ads Auction Insights in the last 30 days is the formal expansion of the report to cover Performance Max campaigns, in addition to Search and Shopping.^[6] This is a meaningful operational shift: advertisers running PMax alongside Search now have a unified mechanism for comparing competitive visibility across campaign types within the same interface, rather than relying solely on Search and Shopping Auction Insights data. No new core Auction Insights metric—such as competitor spend, bids, conversions, or profitability—has been documented by Google in the same period.^[6]

A separate but related development is the expansion of competitive benchmark percentile metrics through Google’s Ads API via BenchmarksService, which introduces percentile-tier rankings, category-level filtering, aggregate metrics, and share-of-voice data.^[9] This API capability complements the in-product Auction Insights report but is not a replacement for it; the in-product report continues to be the primary interface for auction-level overlap and position metrics for most advertisers. Outside the US, availability and rollout timelines for both the PMax Auction Insights expansion and the API benchmark metrics may differ by region and account tier.

Performance Max Auction Insights: What Is Now Available

With PMax now included in Auction Insights, advertisers can view the same core set of relative visibility and position metrics that have long been available for Search and Shopping campaigns:^[5]

• Impression share: Your PMax impressions divided by estimated eligible impressions.
• Overlap rate: How often a competitor’s ad appeared when your PMax ad appeared.
• Position-above rate: How often a competitor appeared above your PMax ad when both showed.
• Top-of-page rate: How often your PMax ad appeared above organic results.
• Absolute-top-of-page rate: How often your PMax ad was the first paid result.
• Outranking share: How often your PMax ad ranked above a competitor’s or appeared when theirs did not.

However, several important interpretive cautions apply specifically to PMax Auction Insights data that do not apply in the same way to Search-only campaigns.

Critical Interpretive Differences for PMax Auction Insights

Performance Max campaigns serve across multiple Google inventory types—Search, Shopping, Display, YouTube, Discover, Gmail, and Maps—within a single campaign structure. Auction Insights for PMax therefore aggregates competitive signals across a heterogeneous mix of inventory environments. This creates three practical risks:

• Competitor identity conflation: A domain appearing as a competitor in PMax Auction Insights may be bidding against you on YouTube and Display but not on Search. Treating it as a Search-level threat without verification overstates its relevance on high-intent queries.
• Impression share dilution: PMax impression share is calculated across all eligible inventory, so a low figure does not necessarily mean you are losing on the highest-value placements. It may reflect underdelivery on lower-funnel Display inventory rather than a Search coverage gap.
• Position metrics apply only where ads co-appear: Position-above rate and outranking share in PMax still require that both ads appeared in the same auction. Across a multi-inventory campaign, the denominator for this metric may differ substantially from the Search campaign equivalent.^[5]

Best practice is to review PMax Auction Insights in its own tab and date range, separate from Search and Shopping reports, and to validate competitive findings against Search-specific data before acting on them.^[6]

API Benchmark Percentile Metrics: What They Mean in Practice

The Google Ads API BenchmarksService update introduces the ability to retrieve competitive standing expressed as percentile tiers within a defined Product & Service Category, along with share-of-voice data and aggregate metrics scoped to that category.^[9] This is meaningful for larger accounts and agencies managing multi-category portfolios because it allows structured, programmatic comparison of competitive standing across categories—something the in-product Auction Insights report does not support natively.

Practically, this means:

• An account can identify whether it sits in the top 25th, 50th, or 75th percentile of impression share within a defined Google Product & Service Category, rather than comparing itself only against the specific competitors that happen to appear in its Auction Insights report.
• Share-of-voice data through the API can surface competitors or market shifts that the in-product report may not show if overlap thresholds are not met in a given period.
• Category-level filtering allows teams to isolate benchmark data for a specific product line or service category, avoiding the averaging effect that distorts account-wide Auction Insights views.

For accounts without direct API access, this development is less immediately actionable. The in-product Auction Insights report and the industry impression-share benchmarks published by third parties remain the most accessible reference points.^[1] Teams with engineering or API resources should treat the BenchmarksService expansion as an opportunity to build automated competitive dashboards, but should label outputs as benchmark estimates rather than exact competitive data, consistent with the interpretive standards that apply to all Auction Insights data.^[9]

Bid Recommendation Signals and Their Intersection with Auction Insights

Google’s recent API release notes document new Search recommendations triggered when Target CPA or Target ROAS bids are set too low for a campaign to enter auctions at meaningful volume.^[9] While this is not a change to the Auction Insights interface, it is directly relevant to impression-share diagnosis: a campaign showing declining impression share in Auction Insights may be experiencing an eligibility constraint from an insufficiently high smart-bidding target rather than losing to a competitor’s stronger bid or higher Ad Rank.

The practical implication is that when impression share drops and a competitor’s overlap or position-above rate appears to rise in the same period, the account manager should check the campaign’s bid strategy status and any active bid recommendations before attributing the change to competitor aggression. An ineligibility-driven IS drop and a competitor-aggression-driven IS drop require different responses: the former calls for a target adjustment or budget increase, while the latter calls for relevance, landing-page, or Ad Rank improvements.^[8]

What Has Not Changed

Several capabilities that advertisers frequently ask about remain outside the scope of Auction Insights as of October 2026:

Requested capability	Current status	Best available alternative
Competitor bids or bid targets	Not available in Auction Insights[6]	Third-party tools (directional estimates only); Keyword Planner CPC ranges
Competitor budgets	Not available in Auction Insights[6]	Third-party estimated spend tools; treat as hypotheses, not verified data
Competitor conversion rates or CPA	Not available in Auction Insights[6]	No reliable external source; benchmark against your own CPA and industry figures
Competitor profitability or margin	Not available in Auction Insights[6]	Not estimable from public data; focus on your own unit economics
Keyword-level data for PMax	Limited; PMax does not expose keyword-level auction data in the same way as Search[6]	Search terms insight report within PMax; Search campaign keyword-level Auction Insights
Competitor creative performance data	Not available in Auction Insights	Google Ads Transparency Center (public creatives); third-party ad-intelligence tools

Updated Operating Checklist for October 2026

Given the confirmed changes, the following checklist reflects current best practice as of October 2026:

• Separate PMax Auction Insights from Search and Shopping reports. Review each campaign type in its own date range and segment before drawing cross-campaign competitive conclusions.^[6]
• Check bid strategy status alongside Auction Insights when IS drops. A smart-bidding eligibility constraint can mimic the appearance of competitor-driven impression-share loss; diagnose before responding.^[9]
• If you have API access, evaluate BenchmarksService for category-level percentile benchmarking. Use it to supplement—not replace—in-product Auction Insights data.^[9]
• Do not treat PMax competitor overlap as a proxy for Search-level threat. Validate any PMax competitive signal against Search campaign Auction Insights before making bid, budget, or targeting changes.^[6]
• Continue to trend over comparable 28-to-30-day windows. Single-week snapshots in either PMax or Search Auction Insights are prone to auction-volume noise, pacing variation, and seasonal distortion.^[8]
• Treat Auction Insights as a visibility and positioning report, not a competitor intelligence database. It reports relative auction participation; it does not expose competitor bids, budgets, conversions, or margins.^[6]

Summary of Confirmed October 2026 Changes

To be precise about what is confirmed versus what is unchanged: the single material Google-documented Auction Insights change in the last 30 days is the expansion of the report to Performance Max campaigns.^[6] The API-level benchmark percentile and share-of-voice capabilities through BenchmarksService represent a separate, complementary development for teams with API access.^[9] All core Auction Insights metrics—impression share, overlap rate, position-above rate, top-of-page rate, absolute-top-of-page rate, and outranking share—remain unchanged in definition, scope, and interpretive limitations. Google has not introduced competitor spend, bid, conversion, or profitability data into Auction Insights, and there is no indication from current documentation that it plans to do so.^[6]

The correct response to these changes is to extend existing diagnostic discipline to PMax—applying the same segmentation, trending, and verification practices already used for Search and Shopping—rather than treating PMax Auction Insights as a new and independent source of competitive intelligence. Used carefully and read alongside first-party conversion data, bid strategy status signals, and Search campaign benchmarks, PMax Auction Insights is a useful addition to the competitive diagnostic toolkit. Used in isolation or without cross-campaign verification, it introduces meaningful risk of misdiagnosis and misallocation.^[6][9]

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References

1. [1] https://www.benchmarketing.org/benchmarks/metrics/impression-share www.benchmarketing.org
2. [2] https://growleads.io/blog/bidding-on-competitor-keywords-in-google-ads-strategy-legality-a… growleads.io
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