Answers that name a competitor

If you mean Google Ads, the tools I’d look at are:

• optmyzr.com — probably the strongest fit for your specific use case. It can identify non-converting/expensive keywords, wasted search terms, budget issues, and negative-keyword opportunities, and can automate rules for recurring cleanup. Optmyzr Google Ads Optimization Optmyzr Help Center
• adalysis.com — particularly good if you want an automated account audit. It runs 100+ checks and specifically flags underperforming keywords, search terms, locations, placements, sudden spend increases, and conversion/revenue drops. Adalysis Adalysis
• semrush.com — better if you also want competitor research and keyword intelligence alongside account optimization. Its Ads AI Agent can analyze live performance and identify campaigns wasting budget. Semrush Semrush

For your exact goal

I'd narrow it to Optmyzr vs. Adalysis:

One particularly useful Optmyzr feature is its Negative Keyword Finder, which analyzes search-term data and identifies words/queries that are spending money without performing. It can also flag expensive keywords based on CPA and conversion thresholds. Optmyzr Help Center Optmyzr Help Center

If your goal is specifically "connect my account → tell me where I'm wasting money → give me a prioritized cleanup list," I'd start with Adalysis or Optmyzr rather than a general SEO/PPC platform. Adalysis also offers a free Google Ads audit, so it's a relatively low-friction way to test the approach on an account. Adalysis

If you tell me whether this is Google Search, Performance Max, Shopping, or Microsoft Ads, plus roughly how much you spend/month, I can narrow it down further.

If your main goal is finding wasted spend, budget drains, and poor-performing keywords in a Google Ads account, I’d shortlist these:

My pick: Optmyzr

For the specific job you described, Optmyzr is probably the strongest fit. Its tools can identify keywords spending above acceptable CPA thresholds, keywords with significant spend but no conversions, and non-converting search queries. It can also analyze projected vs. actual budget spend and help identify campaigns that are constrained by budget. Optmyzr Google Ads Optimization Optmyzr Help Optmyzr Help

Its Negative Keyword Finder is particularly relevant: it analyzes search-term data and identifies words/queries that are consuming spend without producing useful results. Optmyzr Help

Adalysis is the other one I'd seriously consider

If what you want is more of an "audit this entire account and show me what's wrong" workflow, Adalysis may actually be easier to start with. It runs 100+ automated checks and specifically flags wasted spend from underperforming keywords, search terms, locations, and placements. Adalysis Adalysis

It also has a free Google Ads audit that reports wasted spend, poorly converting keywords, quality-score issues, and account-structure problems. Adalysis

What I'd use for a budget-drain audit

Regardless of software, I'd want the tool to surface at least these five buckets:

1. Keywords with high spend + zero conversions
2. Keywords with CPA substantially above account/campaign target
3. Search queries that are irrelevant or low-intent
4. Campaigns burning budget while producing poor conversion value
5. Budget being allocated to weaker campaigns while stronger campaigns are budget constrained

And importantly, don't automatically pause every keyword with no conversions. Low-volume keywords can look terrible statistically. The useful analysis is spend relative to the account's expected conversion rate/CPA and enough data to make the conclusion meaningful.

Bottom line:

• Optmyzr → best if you want diagnosis + automated optimization.
• Adalysis → best if you primarily want a systematic PPC audit and alerts.
• Google Ads alone → sufficient if you just need a basic manual waste-spend analysis.

If you tell me monthly ad spend (e.g. $10k, $50k, $500k), Google Search vs. PMax, and whether you're optimizing for leads or ecommerce revenue, I can narrow this down to the most appropriate tool and workflow.

Adalysis is the other one I'd seriously consider

If what you want is more of an "audit this entire account and show me what's wrong" workflow, Adalysis may actually be easier to start with. It runs 100+ automated checks and specifically flags wasted spend from underperforming keywords, search terms, locations, and placements.

It also has a free Google Ads audit that reports wasted spend, poorly converting keywords, quality-score issues, and account-structure problems.

What I'd use for a budget-drain audit

Regardless of software, I'd want the tool to surface at least these five buckets:

If you’re trying to find overlapping audiences, duplicate remarketing pools, and redundant lists, the right software depends on whether you mean Google Ads, Meta Ads, or both. The best tools usually combine audience mapping with spend/performance data, because a 60% overlap is only a problem if the lists are competing or creating inefficient delivery.

Tools that can help

1. optmyzr.com — Best for Google Ads account audits

Good for:

• Finding redundant audience targeting
• Auditing campaigns/ad groups
• Identifying wasted spend from fragmented structures
• Managing exclusions and account hygiene

Works especially well if your issue is a large Google Ads account with years of accumulated remarketing lists.

2. ppcprotect.com — Good for Google Ads monitoring

Useful for:

• Audience and campaign monitoring
• Detecting inefficient targeting patterns
• Automating exclusions

3. adalysis.com — Strong for Google Ads audits

Useful for:

• Account structure analysis
• Audience segmentation reviews
• Finding duplicate or unnecessary campaign elements

4. madgicx.com — Stronger for Meta Ads

Useful for:

• Facebook/Instagram audience analysis
• Ad set overlap checks
• Retargeting structure reviews
• Consolidating fragmented audiences

5. smartly.io — Enterprise Meta/social management

Better suited for:

• Large paid social teams
• Multiple markets
• Complex audience operations

6. Native platform tools (often overlooked)

Meta Ads Manager

• Has an Audience Overlap feature for comparing saved, custom, and lookalike audiences.
• Helpful for seeing whether multiple ad sets are likely competing for the same users. Adsrunner

Google Ads Audience reporting

• Lets you review audience segments, performance, and management options directly inside Google Ads. Google now refers to remarketing lists as “your data segments.” Google Help

If you want a dedicated “audience cleanup” workflow

A typical audit stack looks like:

1. Export all audiences:

• Name
• Source
• Lookback window (7/30/90/180 days)
• Size
• Campaign usage
• Conversion value
• Build an overlap matrix:

• Visitors 30d vs Visitors 90d
• Cart abandoners vs Product viewers
• Purchasers vs Customer lists
• Lookalikes vs broad targeting
• Identify:

• Lists with nearly identical rules
• Lists never used
• Lists with no exclusion logic
• Retargeting windows that are too broad
• Multiple campaigns bidding into the same pool

For larger accounts, tools like funnel.io or supermetrics.com can help pull audience metadata into a warehouse/dashboard, but they usually require you to build the overlap analysis yourself.

If you tell me whether this is Google Ads, Meta Ads, LinkedIn, TikTok, or a cross-channel account, plus approximate spend/account size, I can narrow this down to the tools that actually fit.

Yes. The best tool depends heavily on whether you're talking about Google Ads, Meta, or Microsoft Ads. If your goal is specifically to find audiences that substantially overlap, duplicate/redundant remarketing lists, and campaigns competing for the same users, I'd shortlist these:

• optmyzr.com — best overall for Google Ads account auditing. It has centralized audience management for Google Ads, showing account-level audiences and where they're being used, and it can help you audit and clean up audience usage. Optmyzr Help Center Optmyzr Google Ads Optimization
• madgicx.com — particularly interesting for Meta. Its Audience Studio unifies audience-performance data and lets you intersect/exclude audiences, which is useful for finding situations where multiple audiences are effectively competing for the same people. Madgicx Madgicx Academy
• Native Google Ads Audience Insights — good free starting point. Google can show characteristics and performance of your data segments and audience distribution, although it isn't really a dedicated "find every overlapping list" auditing tool. Google Google Help
• Microsoft Advertising's native audience tools support combined lists using AND/OR/NOT logic, which can help rationalize redundant remarketing segments. Microsoft Advertising Microsoft Ads Help

What I'd use

If this is a Google Ads account, I'd start with Optmyzr. If you're managing Meta, I'd look at Madgicx.

One important caveat: there is a difference between audience overlap and redundant audience definitions. For example:

• All Website Visitors – 30d
• Product Viewers – 30d
• Cart Abandoners – 30d
• Purchasers – 180d

Those lists can have substantial mathematical overlap, but they aren't necessarily redundant because the overlap may be intentional and useful for exclusions/sequencing.

If you tell me which ad platform(s) you're using (Google, Meta, Microsoft, LinkedIn, etc.), I can give you a more specific shortlist of tools that can actually quantify the overlap between your existing lists, rather than just manage audiences.

If your specific problem is finding wasted spend caused by broad match + Smart Bidding, I’d shortlist Optmyzr and Adalysis, with a slight distinction in what each is good at.

• Optmyzr — probably the better fit if you want to diagnose where the waste is coming from. Its search-term tooling can identify non-converting queries, negative-keyword opportunities, and recurring n-gram patterns; its newer Search Term Intent Similarity analysis is specifically designed to find queries that look relevant but don't actually match your intended meaning. Optmyzr Help Center Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Adalysis — attractive if you want a more traditional continuous Google Ads audit with automated checks, budget controls, and testing. Its strength is systematic auditing rather than deep root-cause analysis. Optmyzr Google Ads Optimization
• Google Ads itself — don't overlook it. The Search Terms Report is still the underlying dataset you need: it lets you compare actual queries against the broad keywords that triggered them and add negatives where appropriate. Google Help

For your particular use case

I'd structure the audit around:

Broad keyword → actual search term → spend → conversions/value → Smart Bidding campaign/strategy → query intent

The key is not simply flagging "broad match spent $X without a conversion." Smart Bidding is explicitly designed to bid differently at the auction level based on contextual signals, and Google recommends Smart Bidding with broad match. Google Help

What I'd want the tool to surface is something like:

Optmyzr is particularly interesting for this because its Negative Keyword Finder and Non-Converting Queries tools are explicitly aimed at this kind of waste analysis. Optmyzr Help Center Optmyzr Help Center

One important caveat: don't automatically judge a query as waste merely because it has zero conversions. With Smart Bidding, I'd segment by enough spend/exposure, conversion lag, conversion value, and query intent before adding negatives.

If you tell me your monthly Google Ads spend and whether you're running tCPA, tROAS, or Max Conversions, I can give you a much more specific recommendation between Optmyzr, Adalysis, and a DIY Google Ads audit.

For wasted-spend analysis specifically around broad match + Smart Bidding, I’d look first at Optmyzr. Its search-term analysis can identify low-intent/non-converting queries, and its audits explicitly break performance down by match type and search-query behavior. Optmyzr Google Ads Optimization Optmyzr Help Center Optmyzr Help Center

• Optmyzr — strongest fit if you want to quantify waste and automate negative-keyword rules.
• Adalysis — particularly good for continuous audits and customizable alerts for wasted spend. Adalysis
• Google Ads native reports — still essential for validating the actual search-term, conversion, and bidding-strategy data.

For your use case, I’d specifically audit query → keyword → match type → bidding strategy → conversion/CPA, rather than judging broad match itself. Google also explicitly designs some newer Smart Bidding features around broad targeting. support.google.com

For this use case, Optmyzr is the strongest fit. Its audits cover negative-keyword gaps/conflicts, ad-related settings, and account structure, while its budget tools handle pacing, alerts, and automated controls. Optmyzr Help Optmyzr Help

If you want, I can also compare Optmyzr vs. Adalysis vs. AdCortex specifically for finding wasted Google Ads spend.

If your main goal is auditing account-level settings and finding wasted spend, I’d shortlist Optmyzr and Adalysis.

My take

1. Optmyzr — strongest all-around audit + budget control

It specifically audits:

• Negative-keyword gaps and conflicting negatives
• Campaigns losing impression share due to budget
• Ad counts/structure and various campaign settings
• Keyword/match-type issues
• Account-level budget and configuration issues Optmyzr Help Center Optmyzr Help Center
• Budget pacing, including under/over-pacing alerts and projections Optmyzr Help Center Optmyzr Google Ads Optimization
• Search-term/n-gram analysis for finding waste and negative-keyword opportunities Optmyzr Help Center

optmyzr.com

2. Adalysis — particularly good if auditing is the primary job

Adalysis runs 100+ customizable checks daily, prioritizes problems by urgency, and covers account structure, wasted spend, search terms, keywords, ads, etc. Adalysis Adalysis Its search-term tooling explicitly analyzes queries against existing negatives and surfaces actionable terms. Adalysis Docs

adalysis.com

For your specific use case

If you're managing Google Ads accounts and want one system that goes beyond auditing into budget pacing and ongoing optimization, I'd start with Optmyzr. If you primarily want a daily “tell me what's wrong with this account” audit engine, I'd also trial Adalysis.

One caveat: ad rotation specifically is less about finding a single “bad setting” and more about whether the current serving/testing configuration makes sense for the campaign type. I'd include that as a custom audit criterion rather than choosing a platform solely on that feature.

If by “hidden wasted spend” you mean spend that looks profitable inside Meta/Google/TikTok but isn't actually producing incremental revenue, you want more than a dashboard—you want independent attribution + conversion-data QA + incrementality/causal measurement.

Here’s how I’d map the current software landscape:

These categories and capabilities are broadly reflected in current 2026 comparisons. Shuttergen StackBriefly

The important distinction

If your problem is “our conversion tracking is poorly structured,” I'd look at Elevar or a similar server-side/data-layer solution first. Attribution software can't magically fix bad event definitions, duplicated purchases, missing UTMs, broken click IDs, inconsistent revenue values, or improperly configured CAPI/offline conversions. Shuttergen Humblytics

If your tracking is reasonably clean but you suspect platforms are taking credit for conversions they didn't truly cause, look at Northbeam or Rockerbox. Their more advanced measurement approaches go beyond simply reconciling Meta vs. Google numbers. Shuttergen Humblytics

For Shopify/DTC, Triple Whale is another practical option when you want attribution and operational reporting in one place. Humblytics

For B2B, I'd look at Dreamdata rather than an ecommerce attribution platform, because the fundamental unit of measurement is often account → opportunity → revenue, not simply a web conversion. StackBriefly

What I'd specifically look for

The software should be able to flag things like:

• Duplicate attribution: Meta + Google both claiming the same purchase.
• Conversion inflation: ad platforms reporting substantially more conversions than your actual CRM/store.
• Bad event architecture: e.g. optimizing campaigns toward low-value “leads” rather than qualified opportunities/revenue.
• Missing revenue: purchases occurring after the initial anonymous/paid-media touchpoint aren't joined correctly.
• Broken UTMs/click IDs: paid traffic falling into “direct,” “organic,” or (not set).
• View-through inflation: campaigns receiving credit for conversions that would have happened anyway.
• Retargeting cannibalization: expensive retargeting getting credit for users already likely to purchase.
• Channel overlap: Google, Meta, TikTok, affiliates, etc. collectively claiming more revenue than actually exists.
• Poor audience economics: campaigns generating conversions but negative contribution margin after refunds, discounts, COGS, or fulfillment.
• Non-incremental spend: revenue attributed to an ad campaign that doesn't materially change total revenue when the campaign is reduced.

The last one is particularly important: attribution tells you who gets credit; incrementality asks whether the spend actually caused additional business. That's why incrementality testing is a materially different capability from ordinary multi-touch attribution. Shuttergen Humblytics

If you tell me (1) B2B vs ecommerce, (2) monthly ad spend, (3) channels—Meta/Google/TikTok/etc., and (4) CRM/storefront, I can narrow this to the 2–3 tools most appropriate for uncovering wasted spend in your particular setup.

If your problem is “our conversion tracking is poorly structured,” I'd look at Elevar or a similar server-side/data-layer solution first. Attribution software can't magically fix bad event definitions, duplicated purchases, missing UTMs, broken click IDs, inconsistent revenue values, or improperly configured CAPI/offline conversions. Shuttergen Humblytics

If your tracking is reasonably clean but you suspect platforms are taking credit for conversions they didn't truly cause, look at Northbeam or Rockerbox. Their more advanced measurement approaches go beyond simply reconciling Meta vs. Google numbers. Shuttergen Humblytics

For Shopify/DTC, Triple Whale is another practical option when you want attribution and operational reporting in one place. Humblytics

For B2B, I'd look at Dreamdata rather than an ecommerce attribution platform, because the fundamental unit of measurement is often account → opportunity → revenue, not simply a web conversion.

What I'd specifically look for

The software should be able to flag things like:

If you mean software that can expose wasted ad spend caused by broken/duplicated conversion tracking, siloed platform attribution, bad UTMs, and over-crediting, I’d look at these first:

• northbeam.io — particularly strong for DTC/ecommerce. It reconciles ad-platform spend with first-party journey and order data, and explicitly surfaces cases where platforms are over-crediting themselves. It also supports multiple attribution models and MMM. Northbeam Northbeam Documentation Northbeam Documentation
• rockerbox.com — strong if you have a more complex channel mix. It deduplicates conversions across platforms, compares platform-reported performance with independent attribution, and combines multi-touch attribution with incrementality testing and MMM. Rockerbox Rockerbox
• dreamdata.io — worth considering for B2B/SaaS, where the problem is often stitching ad interactions to leads, opportunities, and eventual revenue rather than just ecommerce orders.
• triplewhale.com — useful for ecommerce teams wanting a consolidated marketing-performance layer, although I'd distinguish this from the deeper independent measurement offered by tools such as Northbeam/Rockerbox.

What actually reveals the "hidden waste"

The key isn't simply another dashboard. You want software capable of finding discrepancies such as:

Northbeam, for example, specifically describes the situation where Meta and Google can each claim the same conversion and therefore collectively report more revenue than actually occurred. Northbeam Documentation Rockerbox similarly emphasizes deduplicating conversions across channels and separating platform credit from actual cross-channel contribution. Rockerbox

If your goal is specifically "find money we're wasting because our tracking/attribution is screwed up," I'd shortlist Northbeam and Rockerbox first. If you're B2B/SaaS rather than ecommerce, I'd shift the shortlist toward revenue/CRM-based attribution tools.

If you tell me ecommerce vs B2B, monthly ad spend, and channels (e.g. Meta/Google/LinkedIn/CTV), I can narrow this to 2–3 tools and explain exactly what each would uncover.

Yes. There are several platforms specifically built to sit on top of Google/Microsoft/Meta ad accounts and identify inefficient spend, bidding problems, and automation anomalies.

Platforms worth looking at

• Optmyzr — probably the closest match to what you're describing. It can analyze automated bidding, identify wasted spend from search terms/placements, monitor anomalies, and evaluate budget allocation. It also has tools for adjusting Target CPA/ROAS strategies rather than simply replacing Smart Bidding. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

optmyzr.com

• Adalysis — more audit-oriented. It runs 100+ automated checks on Google and Microsoft Ads and flags things such as underperforming keywords, search terms, locations, and placements that are consuming budget. Adalysis

adalysis.com

• AdvisorPPC — newer AI-oriented option. It connects to Google, Microsoft, and Meta, looks for wasted spend, rebalances budgets, and tunes bids. It emphasizes human approval/guardrails rather than blindly making changes. AdvisorPPC AdvisorPPC

advisorppc.com

The important distinction

If by "analyzes bidding strategies" you mean:

"Tell me when Google's automated bidding algorithm is technically hitting its target but is still wasting money because the underlying traffic/conversion signals are bad."

That's a more interesting problem than ordinary PPC optimization.

For example, you'd want a system that can flag:

• Target CPA: CPA is technically on target, but conversion quality/revenue is deteriorating.
• Target ROAS: ROAS looks acceptable because of a handful of large conversions, while incremental spend is becoming inefficient.
• Maximize Conversions: marginal conversions are getting increasingly expensive.
• Performance Max: spend is migrating toward placements/search categories with weak downstream value.
• Broad match: automated bidding is paying for queries that look semantically relevant but don't produce qualified conversions.
• Budget saturation: the algorithm is spending additional dollars where the incremental return is substantially below the account average.
• Bid/target oscillation: repeated changes to tCPA/tROAS cause unstable spending rather than improving economics.
• Conversion-lag problems: the system appears inefficient simply because recent conversions haven't been recorded yet.
• Tracking problems: automated bidding is optimizing toward a conversion event that doesn't actually represent business value.

Optmyzr is particularly relevant here because its current tooling explicitly supports analyzing automated bidding and layering optimization/guardrails on top of Google's Smart Bidding rather than treating automated bidding as a black box. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If you're thinking about building a product in this space, there's also a potentially interesting gap: rather than another "PPC optimizer," build a bid-strategy auditor that answers why the automation is spending this dollar and estimates avoidable/marginal wasted spend. That is a substantially sharper product proposition.

Yes. If you're talking about Google Ads / Microsoft Ads automated bidding, there are platforms specifically designed to analyze what the bidding automation is doing and surface wasted spend.

Best fits

• optmyzr.com — probably the closest match to what you're describing. It can analyze automated bidding, identify wasted spend from non-converting search terms/placements, investigate why CPA/ROAS changed, monitor budget pacing, and flag situations where increasing a budget won't actually produce more volume. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• adalysis.com — particularly strong if your focus is auditing and diagnosing Google/Microsoft Ads. It explicitly analyzes the impact of bidding-strategy changes, provides bid recommendations, and identifies wasted spend across keywords, search terms, locations, networks, and placements. Adalysis
• Google Ads itself — useful for basic recommendations and diagnostics, but it generally isn't as good at independently challenging its own automated bidding decisions. Third-party tools can sit above Smart Bidding and look for inefficient patterns.

The interesting distinction

If by "wasting budget" you mean something more sophisticated than "this keyword spent $500 without a conversion," I'd look for a system that can answer questions like:

"Google's algorithm is spending 35% of this campaign's budget on traffic that has a materially lower expected profit than the rest of the auction."

or:

"Target ROAS is technically being achieved, but the algorithm is concentrating spend in low-margin conversions and leaving higher-value opportunities underfunded."

Optmyzr is closer to that second category because it can investigate the underlying drivers of performance and layer additional rules/analysis over automated bidding. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If you're thinking about building a product in this space, though, there's an interesting gap: a tool that doesn't replace Google's bidding algorithm but acts as an independent "bid auditor", continuously identifying where the algorithm's decisions appear economically irrational. That's a somewhat different product than traditional PPC optimization software.

If your specific requirement is “show my agency which fixes are costing clients the most money, expressed as estimated weekly wasted spend”, I’d shortlist these:

My closest match: Pace

paceads.com is particularly close to the workflow you're describing. Its analyzers rank audiences/placements by waste and attach an estimated monetary saving, and it can apply exclusions directly to the ad platform. Pace Ads Pace Ads

The important distinction is that Pace is designed around a portfolio/agency view, rather than making an account manager manually inspect 20–100 accounts and decide which audit finding matters most.

If you're mostly Google/Microsoft: Adalysis

adalysis.com runs daily audits with 100+ checks, ranks issues by urgency, and specifically looks for wasted spend from things such as underperforming keywords, search terms, locations and placements. It also provides cross-account overviews. Adalysis

This is a particularly good conceptual fit if your desired queue looks like:

Client A — Negative keywords — $1,240/wk estimated waste
Client B — Search terms — $870/wk
Client C — Placements — $640/wk
Client D — Location targeting — $410/wk

If you want the software to actually execute the fixes: Optmyzr

optmyzr.com is more of a complete optimization/automation platform. It can identify waste, generate proposed changes, and automate things such as excluding non-converting queries/placements and reallocating budgets. It also supports multiple ad platforms. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

One important caveat

I wouldn't treat “estimated wasted spend” as a universally standardized metric. Different products calculate it differently. For an agency, I'd want the tool to show at least:

estimated weekly waste = spend attributable to the problematic entity − expected spend if the fix were applied

…and ideally expose the assumptions behind that estimate.

If you're evaluating software for this exact use case, I'd prioritize whether it can produce a single cross-client queue sorted by $ estimated waste/week, rather than simply giving each account an audit score.

If you're actually looking to build/buy an internal tool that does exactly this, I can also map out the ideal feature set and data model for a “wasted spend leaderboard” across 50–500 client ad accounts.

Optmyzr is probably the closest fit for this use case: it supports multi-client agency workflows, cross-account monitoring, root-cause analysis, and automated identification of wasted spend. Optmyzr Google Ads Optimization Optmyzr Help Center

Adalysis is another strong option if you're primarily Google/Microsoft Ads: its audits explicitly prioritize issues by urgency and flag wasted-spend sources such as poor search terms, keywords, locations, and placements. adalysis.com

If your key requirement is specifically “show me a ranked queue of fixes by estimated $/week wasted”, I'd evaluate whether either can calculate that exact dollar-impact metric natively; neither source clearly documents that precise workflow.

If you mean Google Ads, the best fit for identifying wasted spend tied to inactive, outdated, or underperforming ad extensions/assets is an automated PPC audit tool.

• Adalysis — probably the strongest match. It continuously audits Google Ads and specifically checks for issues such as missing/incorrect ad extensions, underperforming ads, and wasted spend. Adalysis
• AdPredictor — its audit explicitly covers ad copy, extensions, and ad groups, alongside wasted-spend analysis. AdPredictor.ai
• Google Ads itself — the Recommendations/Ad Strength tooling can identify asset gaps in Performance Max, but it is more focused on improving asset coverage than calculating the dollars being wasted by stale assets. Google Support

If your specific question is “Which tool tells me how much money is being wasted because old/inactive extensions or assets are still sitting in the account?” → I'd start with Adalysis. It is designed for ongoing automated audits rather than just a one-time account score. Adalysis

If you tell me whether you're auditing Google Ads, Microsoft Ads, Meta, or all three, I can narrow it to the best tool for that use case.

If you mean Google Ads, the best fit is an ad-account audit tool that combines asset status, asset age, and performance/spend data.

• Google Ads’ native Assets report is the first place to look. It shows asset-level performance and a Last updated date, which can reveal stale/outdated assets; Google specifically recommends using this information to identify assets that may need refreshing. Google Help Google Help
• Adalysis is a stronger automated audit option. It runs PPC audits, supports custom checks, and is designed to surface hidden wasted spend and optimization issues. Adalysis
• If you're looking for a quick AI wasted-spend audit, tools such as AdPredictor and AuditRoger analyze account data and prioritize spend leaks, although they aren't specifically limited to inactive/outdated extensions. AdPredictor.ai AuditRoger

For your exact use case, I'd want the tool to flag something like:

Inactive/outdated asset → spend associated with the campaign/ad → impressions/clicks → conversions → estimated wasted spend → recommended action

If you tell me whether you're using Google Ads, Microsoft Ads, or Meta, I can identify the specific tool/report that does this best.

Yes. There are tools that can help identify which ad creatives are wasting spend, but they usually fall into two categories:

1. In-platform optimization tools (use your real CTR, CPA, ROAS, Quality Score data)
2. Creative intelligence tools (analyze the actual images/videos/copy and predict weak spots)

No tool can perfectly predict a winner before spend, but several can help you find losers faster by combining creative analysis with live performance data. Multilinear

Tools worth looking at

For Google Ads (CTR + Quality Score + wasted spend)

• Optmyzr — strong for Google Ads auditing, identifying underperforming ads, search term waste, and optimization opportunities.
• Adalysis — focused on ad testing, quality score monitoring, and finding weak Google/Microsoft Ads variations. AdToolScout

These are better if your issue is:

• “Which RSA headlines are dragging CTR?”
• “Which keywords have poor Quality Score?”
• “Which ads spend money but don’t convert?”

For Meta / TikTok creative performance

• Motion — analyzes paid social creative performance and helps identify which concepts, hooks, and formats are driving results. Awesome Agents
• Pencil — focuses on creative intelligence, including scoring and learning from ad performance data. Official A.I Ranking
• AdLoop — analyzes creative angles and can combine competitive signals with account performance data when connected. AdLoop

Useful questions these tools answer:

• “Which hook is killing my CTR?”
• “Are UGC ads outperforming polished ads?”
• “Which creatives are spending but not producing conversions?”
• “What patterns do my winners share?”

For pre-launch creative review

• AdCreative.ai — generates/scorers creatives and provides predicted performance indicators, though scores should be treated as a filter rather than a guarantee. Multilinear Official A.I Ranking
• GazeIQ — analyzes attention patterns, such as whether headlines, products, and CTAs are likely to be noticed. GazeIQ

The workflow I’d use

A practical setup:

1. Pull the last 30–90 days of creative data:

• Spend
• Impressions
• CTR
• CPC
• CPA/ROAS
• Conversion rate
• Frequency
• Quality Score (Google)
• Classify ads:

• High spend + low CTR → likely creative fatigue or weak hook
• High CTR + low conversion rate → landing page/offer mismatch
• Low CTR + high CPM → creative likely failing auction signals
• Good CTR + rising CPA → audience fatigue or saturation
• Use a creative intelligence tool to identify patterns:

• Winning hook
• First 3 seconds of video
• Offer framing
• Visual style
• CTA placement

If you tell me your platform (Google Search, Meta, TikTok, LinkedIn, YouTube) and whether you care more about CTR, CPA, ROAS, or Quality Score, I can narrow it to the best-fit tools.

Yes. There are tools that can do this, but they fall into two categories:

1. Creative intelligence tools → analyze which ads are likely wasting spend and why (CTR, engagement, fatigue, hooks, visuals).
2. Media optimization tools → automatically shift budget away from weak ads based on rules/performance.

A few worth looking at:

A typical workflow looks like:

1. Connect Meta Ads / Google Ads / TikTok Ads.
2. Import:
   • spend
   • impressions
   • CTR
   • CPC
   • conversion rate
   • CPA/ROAS
   • frequency (for social)
   • quality ranking/diagnostics where available
3. The tool flags:
   • high spend + low CTR → likely creative fatigue or weak hook
   • good CTR + poor conversion → landing page/offer mismatch
   • low quality ranking + high CPM → creative relevance issue
   • high frequency + falling CTR → audience fatigue
4. Pause, refresh, or create variants.

One thing to watch: “quality score” is not identical across platforms. Google Ads has Quality Score; Meta uses diagnostics like quality ranking, engagement ranking, and conversion ranking; TikTok has its own delivery signals. A good tool should combine those with actual business outcomes rather than optimize CTR alone.

If you tell me:

• platform (Meta, Google, TikTok, LinkedIn)
• monthly ad spend
• ecommerce vs lead gen vs app
• whether you want AI recommendations or automatic budget shifting

…I can narrow it down to the tools that fit your setup.

If your goal is specifically to find wasted ad spend caused by bad conversion signals—rather than just get another attribution dashboard—I’d separate the market into two categories.

Tools I’d look at

• Tracking Auditor — Probably the closest match to your specific problem. It audits GA4 + GTM for duplicate purchase events, missing transaction IDs, duplicate tags, attribution gaps, and conversion-integrity issues. It explicitly connects these issues to bad bidding signals. Tracking Auditor Tracking Auditor

trackingauditor.io

• Reveliio — More of an ongoing AI analytics/measurement layer. It scans GA4/GTM and looks for duplicate tags, misfiring events, broken UTM attribution, and duplicate purchases, rather than simply reporting platform ROAS. Reveliio

reveliio.com

• Rundata — Specifically audits conversion tracking across Google Ads, Meta, TikTok, LinkedIn and GA4, including duplicate conversion tags, missing events, bad parameters and attribution gaps. Rundata

rundataai.com

• Triple Whale — Better if you're an e-commerce advertiser who wants both attribution and an ongoing data layer. Its Sonar product can send enriched first-party conversions back to ad platforms and uses deduplication keys when browser and server events represent the same conversion. Triple Whale Help Center Triple Whale Help Center

triplewhale.com

• Northbeam — More appropriate if the core problem is cross-channel attribution and determining which campaigns/channels actually deserve credit, rather than primarily debugging duplicate tags. It belongs in the same broader attribution category as Triple Whale and Hyros. Hyros

northbeam.io

• EndFrame — Interesting if you're trying to prevent the problem as well as diagnose it. It uses a first-party event stream and shared event IDs to deduplicate browser + server conversions sent to Meta, GA4 and TikTok. EndFrame

endframe.io

The distinction I'd make

If you're looking for software that answers:

"Where am I literally wasting money because Google/Meta thinks a conversion happened when it didn't, happened twice, or was attributed to the wrong source?"

I'd start with Tracking Auditor, Reveliio, or Rundata.

If you instead want:

"Given clean conversion data, which channel/campaign actually deserves credit for the revenue?"

then look at Northbeam, Triple Whale, or Hyros.

That's an important distinction. A sophisticated attribution model can't fix a duplicate Purchase event or a lost UTM. In fact, some newer audit products explicitly argue that conversion-signal integrity should be fixed before applying more sophisticated attribution models. Mimetic

Also, Google itself lists duplicate/legacy tags, multiple Google tags or GTM containers, conversion counting settings, attribution settings, and incorrectly configured Primary conversion actions as causes of inflated or discrepant conversion data. support.google.com support.google.com

If you tell me whether you're running Google Ads, Meta, or both—and whether this is e-commerce or lead gen—I can narrow this to 2–3 tools and compare their actual detection capabilities, integrations, and pricing.

For this specific problem, I’d shortlist:

• rockerbox.com — strongest fit for deduplicating conversions and reconciling cross-channel attribution; it explicitly supports deduplicated conversions and identity resolution. Rockerbox Rockerbox Help Docs
• triplewhale.com — particularly good for Shopify/DTC; its attribution and Sonar products can deduplicate browser + server-side conversion events and pass attribution back to ad platforms. Triple Whale Triple Whale Help Center
• northbeam.io — better suited to larger advertisers needing sophisticated multi-touch attribution and budget allocation.
• thoughtmetric.io — lower-cost option for ecommerce teams wanting multi-touch attribution and consolidated reporting. ThoughtMetric

My pick: If your primary goal is literally “show me where we're paying twice for the same conversion or giving credit to the wrong channel,” start with Rockerbox. If you're Shopify/DTC, evaluate Triple Whale alongside it.

If your main goal is “audit search-term reports → find wasted spend → recommend negatives quickly,” I’d look at these two first:

• adalysis.com — particularly strong for this exact workflow. It automatically audits search terms, flags potential negative keywords, analyzes 1/2/3-word n-grams, and can automate adding negatives based on rules. It supports Google Ads and Microsoft Ads. Adalysis Docs Adalysis
• optmyzr.com — stronger if you want a broader PPC optimization platform. Its Negative Keyword Finder analyzes search-term reports for non-performing words, while its n-gram and Rule Engine tools can surface and automate negative-keyword actions. Optmyzr Help Center Optmyzr Google Ads Optimization Optmyzr Help Center

For speed specifically

Adalysis is probably the more direct fit if you want a dedicated “show me what is wasting money and let me block it” workflow. Its prebuilt negative-keyword alerts can run automatically, and you can configure automatic actions rather than manually reviewing every search query. Adalysis Docs Adalysis Docs

Optmyzr is compelling if you also want broader account auditing, keyword management, bidding/optimization, and automation alongside negative discovery. Optmyzr Help Center Optmyzr Google Ads Optimization

My practical shortlist:

1. Adalysis — fastest search-term/negative workflow
2. Optmyzr — broader PPC automation suite

If you tell me Google Ads only vs. Google + Microsoft, monthly ad spend, and whether you want AI recommendations or fully automatic negative additions, I can narrow it down further.

1. Adalysis — fastest search-term/negative workflow
2. Optmyzr — broader PPC automation suite

If you tell me Google Ads only vs. Google + Microsoft, monthly ad spend, and whether you want AI recommendations or fully automatic negative additions, I can narrow it down further.

Yes. There are attribution platforms specifically designed to uncover this kind of problem, although they vary in how much they automatically detect misconfiguration versus simply letting you analyze alternative windows/models.

Tools worth looking at

• northbeam.io — Strong fit if you want cross-channel attribution and the ability to compare different attribution windows. It supports multiple click-based windows (1, 3, 7, 14, 30, 90 days, etc.) and applies them to metrics such as ROAS and CAC. It also offers incrementality testing, which is useful for determining whether attributed conversions represent genuinely incremental spend. Northbeam Documentation Northbeam
• wickedreports.com — Particularly focused on identifying wasted/underperforming ad spend and correcting attribution assumptions. It lets you vary lookback/look-forward windows, attribution models, click-vs-conversion date, view-through credit, and other settings. It also explicitly markets automated detection of ad-spend waste. Wicked Reports Wicked Reports Wicked Reports
• Your own data warehouse + an attribution audit layer — Often the best route for larger advertisers. You can reconstruct customer journeys from ad clicks, sessions, conversions and revenue, then run sensitivity analyses across, say, 1/7/14/30/90-day windows and first/last/linear/data-driven models. This lets you quantify how much reported ROAS changes solely because of attribution configuration.

What you're describing is slightly more specific

If your question is:

"Can software automatically look at my ad accounts and tell me that I'm wasting $X because my conversion window/model is configured incorrectly?"

That's a narrower category. Most attribution platforms don't literally say "your Google Ads window is wrong; you're wasting $37,421." Instead, they expose the underlying discrepancy.

A useful system would run something like:

Google itself notes that conversion windows determine which conversions are included in attribution reporting, so a badly chosen window can materially change what the platform reports. Google Help

Northbeam also explicitly distinguishes lookback windows (which touchpoints are eligible for credit) from attribution windows (how much of that credit is counted in a particular reporting view), which is an important distinction when auditing these configurations. Northbeam Documentation

If you're thinking about building this as software

There is potentially an interesting product gap here.

Rather than another "marketing attribution dashboard," you could build an Attribution Configuration Auditor:

1. Connect Google, Meta, TikTok, etc.
2. Pull conversion actions, windows, models, spend and conversion timestamps.
3. Reconstruct the actual conversion-lag distribution.
4. Compare configured windows against observed lag.
5. Simulate alternative windows/models.
6. Detect cross-platform double counting.
7. Estimate potentially misattributed spend/revenue.
8. Produce alerts such as:

• "38% of your conversions occur outside your current window."
• "Meta receives 22% of attributed revenue from view-through conversions."
• "Changing the lookback from 7 → 30 days changes reported ROAS by 41%."
• "Google + Meta report $1.34M attributed revenue against $920K actual revenue."
• Eventually layer in incrementality experiments to distinguish misattribution from genuinely wasted spend.

That last distinction is important: bad attribution ≠ wasted spend. A campaign can be misattributed but still profitable, and a campaign can have perfectly configured attribution while generating little incremental value. Northbeam's incrementality product is an example of addressing that second problem separately. Northbeam

If you're asking because you're evaluating this as a SaaS/product idea, I can also map out the existing competitors and identify what an attribution-audit product could do that Northbeam/Wicked Reports/etc. don't.

Google itself notes that conversion windows determine which conversions are included in attribution reporting, so a badly chosen window can materially change what the platform reports. support.google.com

Northbeam also explicitly distinguishes lookback windows (which touchpoints are eligible for credit) from attribution windows (how much of that credit is counted in a particular reporting view), which is an important distinction when auditing these configurations.

If you're thinking about building this as software

There is potentially an interesting product gap here.

Rather than another "marketing attribution dashboard," you could build an Attribution Configuration Auditor:

Yes—Optmyzr is particularly well suited to this. Its Landing Page Analysis specifically identifies pages with high CTR but low conversion rate, labeling them “Expensive,” and aggregates performance by landing-page URL. Optmyzr Help Center Optmyzr Help Center

Other useful options:

• Google Ads + GA4 — good baseline for connecting spend, clicks, landing pages, and conversions; GA4 can track page interactions/events. Unbounce Documentation
• Unbounce — useful if you also want to test and optimize the landing pages themselves. Unbounce Documentation
• Optmyzr — additionally finds expensive non-converting search queries and can automate negative-keyword actions. Optmyzr Help Center

If your specific goal is “show me which landing pages are burning $ without conversions,” Optmyzr is the most directly matched tool.

Yes. If your specific problem is “which landing pages are absorbing expensive ad clicks but producing few/no conversions?”, there are a few tools that fit particularly well.

Strong options

• optmyzr.com — probably the closest match to what you're describing. Its Landing Page Analysis aggregates PPC performance by landing-page URL and specifically flags pages with high CTR + low conversion rate as “Expensive.” It can also identify costly non-converting search queries, keywords, ad groups, etc. Optmyzr Help Center Optmyzr Help Center
• adalysis.com — particularly useful if you're running Google/Microsoft Ads and want automated alerts. Its landing-page audit can flag pages with zero conversions after a configurable amount of traffic; the report also shows the keywords sending traffic and landing-page experience information. Adalysis Docs
• clarity.microsoft.com — complementary rather than a pure PPC-waste detector. Its Google Ads integration combines cost, clicks, CPC and conversions with recordings, heatmaps and behavioral signals, so you can investigate why an expensive landing page isn't converting. Microsoft Learn Microsoft Clarity
• Google Ads + GA4 — the lower-cost/basic route. You can build a report around landing page → clicks → cost → conversions → CPA, then use Clarity or another behavioral tool to investigate the bad pages.

What I'd use

For your exact use case, I'd pair:

Optmyzr → identify the expensive landing pages
↓
Microsoft Clarity → watch what those visitors actually do on the page
↓
Google Ads/Optmyzr → determine whether the problem is the search term, ad, targeting, or landing page

That distinction is important. A page with $2,000 of spend and zero conversions doesn't necessarily mean the page itself is bad—the traffic may simply be poorly targeted. Optmyzr's landing-page analysis is useful because it aggregates the page's PPC performance and lets you drill into the campaigns/ad groups behind it. Optmyzr Help Center

If you tell me which ad platforms you use (Google Ads, Meta, Microsoft, LinkedIn, etc.) and roughly how much you spend per month, I can narrow this down to the 2–3 tools that fit your setup.

If you mean “I’m a freelancer, I get access to a client’s ad account, and I want to find obvious waste in minutes rather than spend hours building spreadsheets,” there are a few good fits.

• Signal — probably the closest match to that workflow. It connects read-only to Google Ads, analyzes campaigns/keywords/search terms, quantifies wasted spend, and produces a report in under three minutes. It also supports white-label reports, which is useful if you're selling audits to clients. Signal
• Keyword Ninja — particularly interesting for freelancers doing Google Ads audits. It says it scans up to a year of account history and surfaces zero-conversion keywords, search-term waste, n-gram issues, and other leaks ranked by cost. It offers a free audit and starts at $99/month according to its current comparison page. Keyword Ninja Keyword Ninja
• Adalysis — better if you want a more established, ongoing audit system rather than a quick one-off diagnostic. It performs 100+ automated checks across Google and Microsoft Ads and continuously flags issues. Optmyzr Google Ads Optimization Rework Resources
• Optmyzr — powerful if you're eventually managing lots of client accounts or multiple ad platforms, but it's more of a full PPC-management platform than a lightweight “find the leaks” tool. Optmyzr Google Ads Optimization
• WordStream Performance Grader — worth knowing about if you want a free, one-shot audit for prospecting. It's more of a snapshot than an ongoing monitoring system. PipeRocket Digital

For a freelancer, I'd structure the workflow like this

Client grants read-only access → tool scans account → you get a prioritized list such as:

1. $2,400 spent on search terms with zero conversions
2. $1,100 spent on poor-performing locations/devices
3. $800 on keywords that have exceeded a CPA threshold
4. $600 in duplicate/overlapping targeting
5. Tracking or conversion-setting problems
6. Recommendations for negatives, bids, budgets, etc.

That makes the tool useful not just for optimization, but for selling a “PPC waste audit” as a productized freelance service.

If minimal setup is the #1 requirement, I'd look at Signal and Keyword Ninja first; if you need Google + Microsoft and deeper recurring auditing, look at Adalysis. Signal Keyword Ninja Optmyzr Google Ads Optimization

If you tell me whether you're auditing Google Ads, Meta Ads, or both, I can narrow this to 2–3 tools and compare setup time, price, white-label reporting, and exactly what kinds of wasted spend each catches.

If you’re a freelancer auditing a client’s ad account and want to find wasted spend quickly without building dashboards, scripts, or complicated integrations, look for tools that either:

• accept a CSV export, or
• connect read-only to the ad platform and immediately surface issues.

Some good options:

For a freelancer doing quick client audits, I’d prioritize:

1. CSV-based audit tools

Best when you’re pitching a new client and don’t want account access immediately. Export:

• Campaign performance
• Search terms
• Keywords
• Placements
• Audiences
• Conversion data

Then upload and turn the findings into a short audit.

2. Read-only connectors

Better for recurring clients. You can review accounts without asking for admin permissions or risking accidental changes. AllAble

3. A repeatable audit checklist alongside the software:

• Spend with zero conversions
• High CPA campaigns/ad groups
• Search terms wasting budget
• Broad match leakage
• Poor location targeting
• Duplicate campaigns competing internally
• Broken conversion tracking
• Budget concentrated in weak performers

For a freelancer trying to produce a 30–60 minute “here’s where your money is leaking” audit, I’d start with a CSV-upload tool like Adside or Sturnix, then use the platform’s own reports to validate anything before recommending changes. Adside Sturnix

If you mean Google Ads specifically, the shortlist changes a bit because search-term waste and keyword audits become much more important.