Answers that name a competitor

If your main goal is “scan the account and show me where money is leaking”, I’d shortlist these:

1. optmyzr.com — best overall

This would be my first choice for a serious Google Ads account.

It specifically has tools for:

• Finding high-spend, non-converting keywords
• Finding wasted spend in search terms
• Identifying irrelevant queries and generating negative-keyword opportunities
• Auditing account structure and settings
• Monitoring budget pacing and overspend
• Analyzing performance by keyword, device, location, time, etc. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

Its audit system can also be scheduled, so you're not just doing a one-time cleanup. Optmyzr Help Center

Best for: agencies, larger accounts, or anyone who wants both auditing and ongoing optimization.

2. adalysis.com — best specifically for finding waste

If your question is literally “Where is my Google Ads budget being wasted?”, I'd seriously consider Adalysis.

It has 100+ automated audit checks and explicitly flags:

• Underperforming keywords
• Poor search terms
• Wasteful locations
• Wasteful placements
• Sudden increases in spend
• Drops in conversions/revenue
• Budget/performance problems Adalysis Adalysis

Its n-gram analysis is particularly useful: it aggregates recurring words/phrases across search queries and identifies patterns with lots of clicks/spend but poor conversion performance. That's a very effective way to uncover systematic keyword waste that isn't obvious one keyword at a time. Adalysis Docs

There's also a free Google Ads audit you can run before committing. Adalysis

Best for: quickly diagnosing an existing account and finding obvious waste.

3. Google Ads itself — best free option

Don't overlook the native data. With a reasonably configured account, you can find most budget drains by analyzing:

Search terms → Cost → Conversions → CPA/ROAS

The biggest traps are usually:

• Search terms spending without converting
• Keywords with significant spend and zero/poor conversions
• Broad-match terms pulling irrelevant intent
• Geographic areas with poor conversion rates
• Campaigns consuming disproportionate budget at poor CPA
• Search terms that should become negative keywords

The paid tools are mainly valuable because they automate the detection, prioritization, alerting, and cross-account analysis.

My recommendation

If I had to pick one: Optmyzr for an ongoing PPC management system; Adalysis if your immediate objective is simply to connect the account and get a prioritized list of things bleeding money.

One important distinction: don't judge keywords solely on “no conversions.” A keyword with $500 spend and zero conversions may be terrible—or it may have only generated 20 clicks. The better audit looks at spend relative to your target CPA/ROAS, conversion volume, conversion lag, and statistical confidence. Optmyzr and Adalysis both provide substantially more context than a simple “pause anything with zero conversions” rule. Optmyzr Help Center Optmyzr Help Center

If you tell me monthly ad spend (e.g. $10k, $50k, $500k), Google Ads vs. Microsoft Ads, and whether you're lead gen or ecommerce, I can narrow this down to the best 2–3 options for your situation.

If your main goal is “scan the account, find where money is leaking, and tell me which keywords/search terms to cut,” I’d shortlist these:

My picks

1. optmyzr.com — best overall

• Probably the strongest fit for what you described.
• Finds high-spend/no-conversion search terms, non-converting keywords, expensive keywords, low-Quality-Score keywords, and negative-keyword opportunities. Optmyzr Help Center Optmyzr Help Center Optmyzr Help Center
• Its Rule Engine lets you turn your own criteria into recurring scans/automations—for example, “flag search terms with >$X spend and zero conversions.” Optmyzr Help Center Optmyzr Help Center
• It also has budget pacing/projection and budget reallocation tools, so it goes beyond keyword cleanup. Optmyzr Google Ads Optimization
• Best for: agencies, larger accounts, or anyone who wants both auditing and automated optimization.
• adalysis.com — best for finding search-term waste

• Particularly good if your biggest concern is “where exactly is my Google Ads money going?”
• Its keyword tools can flag underperforming search terms that are wasting budget without conversions and suggest negative keywords. Adalysis
• Strong n-gram analysis is useful for discovering patterns like “cheap,” “jobs,” “free,” etc. that repeatedly appear in expensive non-converting searches. Adalysis
• Also handles duplicate/cannibalizing search terms and budget optimization. Adalysis Adalysis
• Best for: PPC specialists who want a very focused optimization/auditing workflow.

What I'd choose

If you're managing one or a few serious Google Ads accounts: Adalysis.

If you're managing multiple accounts or want the software to continuously make/recommend optimizations: Optmyzr.

For your specific phrase—“scanning an ads account to identify budget drains and poor-performing keywords”—I'd give Optmyzr a slight edge, because its audit + negative keyword + non-converting keyword + custom Rule Engine combination is unusually comprehensive. Optmyzr Help Center Optmyzr Help Center

One important distinction

Don't only look for “poor-performing keywords.” The bigger source of waste is often the search terms triggered by otherwise legitimate keywords. For example:

Keyword: roof repair
Search term: roof repair jobs near me

The keyword itself may look fine, while the triggered query is wasting money. Both Optmyzr and Adalysis are particularly useful because they analyze the search-term level, not just keyword-level CPA. Optmyzr Help Center Adalysis

If you tell me Google Ads vs. Microsoft Ads, monthly spend, and roughly how many campaigns, I can give you a more specific top 3 with pricing/value and which one I'd actually buy.

For finding wasted spend specifically from the broad match + Smart Bidding combination, I’d prioritize tools that can inspect:

• Search term waste (irrelevant queries triggered by broad match)
• Conversion signal quality (what Smart Bidding is optimizing toward)
• Spend by query/theme, not just campaign-level ROAS
• Negative keyword gaps
• Bid strategy health (tCPA/tROAS learning issues, low-quality conversion volume)

My shortlist:

My picks by scenario

• $10k–$100k/month Google Ads spend:

Start with Optmyzr + a human review of Search Terms. Automated tools are good at surfacing anomalies, but the decision to keep broad match usually depends on business intent and conversion quality. Conner Crowe

• Agency managing many accounts:

Optmyzr or TrueClicks are better because you need repeatable audits and alerts across accounts. Not Fair

• Need a quick “where is money leaking?” report:

COREPPC, AdSentry, or CampaignRx are closer to that use case. CorePPC AdSentry CampaignRx

The audit checks I’d insist on

Regardless of tool, I’d want the output to answer:

1. What percentage of spend came from broad-match queries with no conversions?
2. Which search terms spent money but failed CPA/ROAS targets?
3. Are conversions being optimized toward real business outcomes or low-value events?
4. Is Smart Bidding learning from enough clean conversion volume?
5. Are negative keywords preventing repeat waste?

A lot of “broad match is bad” diagnoses are actually conversion tracking + Smart Bidding signal problems. Broad match can work when Google has strong conversion data; it tends to struggle when the algorithm is optimizing toward noisy or sparse signals. Google Reddit

If you tell me your monthly spend, lead gen vs ecommerce, and whether you use tCPA or tROAS, I can narrow this to the 2–3 tools most likely to find real waste.

If your specific question is “Where is broad match + Smart Bidding wasting money, and which queries/themes are causing it?”, I’d shortlist these:

1. Optmyzr — best overall for this use case

This is probably my first choice. Its Search Term–Keyword Similarity analysis scores how closely a query matches the intended keyword meaning, while its negative-keyword and non-converting-query tools can identify spend that should be excluded. It also has Search Term N-Grams for finding recurring themes behind wasted spend. www.optmyzr.com

The useful part is that it goes beyond “keyword spent $X without conversions.” You can investigate what types of searches Smart Bidding is actually buying.

2. Adalysis — best pure auditing option

If you want an auditor rather than a broader PPC management platform, I'd look closely at Adalysis. It runs 100+ automated daily checks, including alerts for underperforming search terms, keywords, locations and placements, and lets you create custom thresholds. www.optmyzr.comadalysis.comadalysis.comsupport.google.com

Its free audit is also useful for getting a quick estimate of wasted spend before committing. adalysis.com

My pick

One important caveat: broad match + Smart Bidding isn't inherently a wasteful combination. Google explicitly recommends automated bidding with broad match because the larger query set gives Smart Bidding more data to optimize against. support.google.com The real audit question is whether the system is buying incremental conversions at an acceptable marginal CPA/ROAS, particularly through queries that look semantically relevant but have poor business intent.

If I were auditing an account, I'd specifically want a tool/report that decomposes broad-match + Smart Bidding spend into: query intent → conversion quality → CPA/ROAS → marginal spend → negative-keyword opportunity, rather than simply labeling non-converting keywords as “waste.”

If your goal is specifically to audit account-level waste—ad rotation/settings, negative-keyword gaps, budget pacing, and similar controls—my top pick is Optmyzr.

Why Optmyzr

• Account audits: configurable PPC audits score the account and flag structural/settings problems, including keyword/ad issues and conflicting keywords. help.optmyzr.com
• Negative keywords: its Negative Keyword Finder and Search Terms N-Grams identify irrelevant/non-converting queries that can be added as negatives. help.optmyzr.com
• Budget pacing: tracks actual vs. expected spend, projects end-of-period spend, and can alert or automate around over/under-pacing. help.optmyzr.com
• Cross-account: particularly strong if you're auditing multiple Google/Microsoft accounts rather than just one. Its dashboard consolidates account health, pacing, and optimization signals. help.optmyzr.com
• Automation: you can turn recurring audit findings into rules/alerts instead of treating the audit as a one-off exercise. help.optmyzr.com

The main alternative: Adalysis

If you're 100% Google Ads/Microsoft Ads and your priority is continuous auditing + ad testing + budget controls, I'd also evaluate Adalysis. Even Optmyzr's current comparison positions Adalysis as the more audit/ad-testing-focused choice, while Optmyzr is stronger for broader multi-platform management and automation. www.optmyzr.com

My pick by use case:

If you're auditing Google Ads specifically, I can also give you a 10–15 point waste-audit framework covering ad rotation, search partners, PMax, negatives, match types, budgets, bidding, locations, and conversion settings.

Yes. If by “hidden wasted spend” you mean spend that looks efficient inside Google/Meta/LinkedIn/etc. but is actually being over-credited because of broken, duplicated, or poorly structured conversion tracking, you want a measurement/attribution platform rather than another ad-optimization tool.

Best fits

• Northbeam — probably my first choice for this specific problem. It combines first-party journey data, server-side order data, and ad-platform spend/performance, then de-duplicates credit across channels. It can expose situations where multiple platforms claim the same conversion and lets you compare attribution models. Northbeam Northbeam Documentation Northbeam Documentation

northbeam.io

• Rockerbox — especially good if you have a more complex mix of digital + offline channels. Its MTA reconciles touchpoints to a single conversion and explicitly de-duplicates the conversions that platforms otherwise each claim. Rockerbox

rockerbox.com

What I'd look for

The important capability isn't simply “better attribution.” You want software that can answer:

1. How many conversions are duplicated across ad platforms?
2. Which campaigns are getting credit because of overly long attribution windows?
3. Which conversions are actually unattributed because UTMs/pixels/server-side events are broken?
4. Are Google/Meta optimizing toward the wrong conversion event?
5. How much revenue disappears when you reconcile platform-reported conversions against actual orders/CRM revenue?
6. Which channels still produce incremental conversions after removing retargeting/brand-search cannibalization?

Northbeam, for example, specifically provides a Visit-to-Click diagnostic and recommends checking whether UTMs survive end-to-end; it also identifies unattributed orders resulting from missing/incomplete tracking. Northbeam Documentation Northbeam Documentation

One important distinction

If your problem is “our attribution is wrong”, start with Northbeam or Rockerbox.

If your problem is “we don't even trust our conversion-tracking infrastructure”, I'd pair the attribution platform with a tracking observability/data-quality layer. Attribution software can reveal that your numbers don't reconcile, but you also want something that detects things like:

Meta purchase event → fired twice → $400 revenue reported instead of $200

or:

Google Ads → conversion event changed → bidding optimized toward a low-value micro-conversion

or:

UTM stripped at checkout → $50k of paid traffic classified as Direct

And if you're trying to answer the even harder question — “Was this ad actually incremental, or would the customer have purchased anyway?” — look for incrementality testing/MMM alongside MTA. Rockerbox and Northbeam both now position themselves around MTA + incrementality/MMM rather than attribution alone. Northbeam Rockerbox

If you tell me your stack (e.g. Shopify + GA4 + Google Ads + Meta + HubSpot/Salesforce), I can narrow this down to the 2–3 tools most likely to uncover actual wasted spend in your setup, rather than just giving you an attribution-software list.

Yes. If by “hidden wasted spend” you mean spend that looks efficient inside Google/Meta/etc. but is actually being double-counted, credited to the wrong channel, or optimized against badly defined conversion events, there are a few tools worth looking at.

Best fits

• northbeam.io — probably the strongest fit for DTC/ecommerce. It reconciles ad-platform data with first-party journey and order data, and specifically surfaces situations where platforms are claiming the same conversion. It can also identify spend going toward returning customers rather than creating incremental demand. Northbeam Northbeam Documentation Northbeam Documentation
• rockerbox.com — strongest if you want independent, cross-channel attribution plus incrementality testing. It deduplicates conversions across platforms and can compare MTA, MMM, and controlled tests. That's particularly useful when the underlying problem isn't just attribution but whether a channel actually caused incremental revenue. Rockerbox Rockerbox Rockerbox
• Dreamdata — worth considering for B2B/SaaS, where the problem is usually stitching anonymous web activity, campaigns, leads, opportunities and revenue together rather than ecommerce orders. It is more oriented toward account/customer-journey attribution than DTC media optimization.

What these tools can actually expose

Suppose your dashboard says:

Meta: $100k spend → $300k revenue
Google: $100k spend → $250k revenue
Affiliate: $50k spend → $150k revenue

That looks like $700k of attributed revenue.

But if the same customers commonly went Meta → Google → affiliate → purchase, each platform may be taking credit for the same $150k of actual revenue. Northbeam explicitly describes this platform-silo problem, while Rockerbox uses deduplication across touchpoints to establish a unified view. Northbeam Documentation Rockerbox

The more interesting problems are:

• Duplicate conversion events — purchase counted by multiple systems.
• Wrong conversion hierarchy — campaigns optimizing for leads/add-to-carts instead of qualified revenue.
• Retargeting cannibalization — ads getting credit for customers who were already going to buy.
• Broken UTM/source mapping — traffic falling into Direct/Other or the wrong campaign.
• Attribution-window inflation — long click/view windows making channels appear more productive.
• Cross-device identity gaps — one customer appearing as several users.
• Offline/CRM revenue disconnected from ad clicks — especially important for B2B.
• Returning-customer contamination — acquisition campaigns appearing better because they monetize existing customers.
• Platform self-attribution — Google and Meta each reporting the same conversion.
• Non-incremental spend — attribution says a channel drove revenue, but experiments show the revenue would have happened anyway.

My shortlist by use case

One important distinction: attribution software can reveal inconsistencies and likely waste, but attribution alone can't prove causality. If the goal is specifically “show me the dollars we're wasting because our current tracking/attribution is lying to us,” I'd prioritize a platform that combines deduplicated attribution + conversion-data QA + incrementality testing, rather than buying another dashboard that simply gives you a different attribution model.

If you tell me B2B vs. ecommerce, monthly ad spend, and whether you're mainly on Google/Meta/LinkedIn, I can narrow this to the 2–3 tools most likely to uncover the waste you're describing.

If your specific goal is “across all client ad accounts, tell me what fixes are costing us the most per week if we don't make them”, I’d shortlist these:

My pick: Optmyzr

For an agency, Optmyzr is closest to what you're describing because it combines multi-account monitoring, anomaly detection, waste identification, and actual optimization workflows.

It can identify waste such as:

• Non-converting search queries
• Wasteful placements
• Expensive keywords
• Poor-performing campaigns
• Budget allocation problems
• Performance anomalies

Its PPC Investigator can drill down to the keyword, placement, device, campaign, etc. that caused a performance change. Optmyzr Help Center Optmyzr Google Ads Optimization

More importantly, it has portfolio-level monitoring and can alert across multiple client accounts, rather than requiring an account manager to manually inspect every account. Optmyzr Help Center Optmyzr Google Ads Optimization

But there's an important distinction

I don't think most existing tools give you exactly this UX:

Client A — Fix X — estimated waste: $1,240/week — confidence: 92%
Client B — Fix Y — estimated waste: $780/week — confidence: 84%
Client C — Fix Z — estimated waste: $430/week — confidence: 76%

That's a slightly different product category: an agency-wide “opportunity queue” ranked by financial impact.

If that's what you're trying to build/buy, I'd evaluate tools based on whether they can calculate:

Estimated weekly waste = current spend × estimated avoidable fraction

…and, ideally, distinguish avoidable waste from merely underperforming spend. That's the key difference between a generic PPC audit and a genuinely useful agency prioritization system.

Optmyzr gets closest among established platforms, particularly because its rule engine can automatically identify non-converting queries/placements and its portfolio tooling lets agencies manage many accounts. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

If you tell me whether you're primarily managing Google Ads, Meta, or both, I can give you a much tighter 5–7 tool comparison specifically for “rank every client fix by $/week wasted.”

If your specific goal is “show my agency which client accounts have the most estimated wasted ad spend per week, so the team works on the highest-dollar problems first,” I’d narrow the field considerably.

My ranking

1. optmyzr.com — best overall fit

• Built for agencies managing many client accounts.
• Its auditing/analysis identifies waste at the keyword, search-term, placement, device, etc. level, and its automation can actually act on problems. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Particularly strong if you want to turn “this account is wasting money” into a prioritized workflow and then automate the fix.
• It supports Google, Microsoft, Amazon, Meta and LinkedIn, which is a major advantage if your clients aren't Google-only. Optmyzr Google Ads Optimization
• Caveat: I don't think its native UX is perfectly centered on the exact metric you're describing: estimated weekly wasted spend by client/account. You may need to construct that prioritization using its audits, rules, reporting and data.
• adalysis.com — best for Google/Microsoft audit depth

• Very good if your agency is primarily search.
• Runs automated audits and continuously surfaces issues, including wasted-spend opportunities, while also having strong ad-testing and budget controls. Optmyzr Google Ads Optimization
• I'd choose it over Optmyzr if the core workflow is “audit every account and tell my PPC managers what is wrong.”
• I'd choose Optmyzr if the workflow is “prioritize + automate the remediation.”
• trueclicks.com — worth evaluating for agency-wide monitoring

• More interesting if you want account health/issue detection across a large client portfolio rather than a full optimization suite.
• The key question I'd ask them is whether their reporting can explicitly aggregate issues into a dollar-value estimate like “$4,820/week potential waste across these 17 accounts.”
• opteo.com — good guided recommendations, less compelling for this use case

• Stronger as a recommendation/optimization assistant than as an agency-wide “wasted dollars leaderboard.”
• I'd put it behind Optmyzr/Adalysis for a multi-client agency workflow. Optmyzr Google Ads Optimization

But there's an important distinction

If what you actually want is a dashboard like:

…then I don't think the mainstream PPC tools are quite as opinionated around this workflow as they could be.

The really valuable product would calculate something like:

Estimated weekly wasted spend = spend attributable to a condition that historically has little/no probability of producing the desired conversion

…and then roll that number up:

Agency → client → account → campaign → problem → recommended action

That lets an agency operate on dollars at risk, rather than a generic list of 37 optimization recommendations.

Optmyzr gets closest because it combines account-level analysis, automated rules, budget tools and agency workflows. Its current budget tooling also supports portfolio-level views and reallocations across accounts/platforms. Optmyzr Help Center

If you're evaluating this as a software product opportunity

I'd actually avoid building another generic “PPC optimization platform.” The sharper wedge is:

“A weekly wasted-spend queue for agencies.”

Connect all client ad accounts → calculate estimated waste → rank by $/week → explain why → assign to an account manager → track recovered spend.

That is a much more compelling agency workflow than “AI recommendations.”

If you tell me which ad platforms you need (Google only vs. Google + Meta + Microsoft, etc.) and roughly how many client accounts, I can give you a tighter shortlist and tell you whether I'd buy an existing product or build this internally.

If you mean a tool that can find wasted spend caused by inactive, stale, or outdated ad extensions and assets, you’re usually looking for a Google Ads audit/optimization tool rather than a general analytics tool.

Common options include:

• Google Ads Recommendations & Asset Reports — built into Google Ads. It can surface underperforming assets, removed/paused items, and asset-level performance issues.
• Google Ads Editor — useful for bulk auditing extensions/assets, finding old campaigns, and cleaning up inactive items.
• PPC audit tools such as Optmyzr or Adalysis — these can flag account hygiene issues, underperforming ads/assets, and optimization opportunities.
• AI audit tools such as AdLark or similar Google Ads auditors can scan accounts for wasted spend patterns and budget leaks. AdLark App

If you specifically mean inactive/outdated ad extensions and assets, look for audit features that check:

• unused sitelinks, callouts, snippets, images, and videos
• assets with spend but no conversions
• old promotions or expired offers
• low-performing responsive search ad assets
• duplicate or conflicting extensions
• assets attached to paused/dead campaigns

For an enterprise PPC workflow, the closest fit is typically a Google Ads account audit tool + asset performance report, rather than a standalone “wasted spend” detector. adpredictor.ai app.adlyse.com

If you mean Google Ads, the best fit is Adalysis. It runs automated PPC audits and can flag issues related to wasted spend and missing/underperforming ad extensions, with customizable checks and prioritized findings. Adalysis

For inactive or outdated assets specifically, Google Ads itself has an Asset reporting view. It lets you compare asset performance and see when assets were added/modified/paused/removed, which is useful for identifying assets that need refreshing or removal. Google Help Google Help

So:

• Best automated audit: Adalysis — broader wasted-spend audit + extension/asset checks. Adalysis
• Best native Google Ads tool: Asset reporting — performance + asset age/status. Google Help
• For a broader “find all wasted spend” audit: tools such as AdPredictor or RevAds can scan an account for non-converting/wasted spend, but they're broader than just extensions/assets. AdPredictor.ai RevAds

If your specific requirement is “find ad extensions/assets that are still costing money but are obsolete, duplicated, inactive, or no longer useful”, I'd choose Adalysis + the native Google Ads Asset report rather than a generic account grader.

Yes. There are tools that can help identify which creatives are wasting spend, but the best ones usually combine ad platform data (CTR, CPA, ROAS, CPM, conversion rate, fatigue) with creative analysis. No tool can perfectly predict a winner before spend, but several can flag losers much faster. Multilinear

Here are the main categories:

1. Creative intelligence + performance analysis tools

These are closest to what you described:

• Motion — connects ad spend data with creative-level performance to show which hooks, formats, angles, and creatives are driving results or wasting budget. Good for Meta-heavy teams.
• Pencil — analyzes and generates creatives, with performance scoring approaches designed around ad data. Official A.I Ranking
• AdCreative.ai — scores creatives and generates variants; useful as a filter before scaling, though predicted scores should be validated against actual campaign results. Official A.I Ranking AITechStack
• Adalysis — more focused on paid search/display testing, including ad testing and quality-related monitoring. AdToolScout

2. If you mainly run Meta ads

Look for tools that answer questions like:

• “Which creative spent $2,000 but produced no purchases?”
• “Which ad has high CTR but poor conversion rate?”
• “Which creative is fatiguing?”
• “Which hook/visual/offer combination is winning?”

A good workflow is:

1. Pull creative-level data: - Spend
2. CTR
3. CPC
4. CPM
5. Conversion rate
6. CPA/ROAS
7. Frequency
8. Group by: - Hook
9. Creative angle
10. Format (UGC, static, carousel, video)
11. Audience
12. Kill ads where: - Spend is above your acceptable CPA threshold with no conversions
13. CTR is far below account average
14. CPC is rising
15. Frequency is high and performance is declining

3. For Google Ads “Quality Score” specifically

Quality Score is a Google Search Ads metric, so many creative intelligence tools won’t directly diagnose it. For that you want Google Ads-focused tools or reporting that breaks down:

• Expected CTR
• Ad relevance
• Landing page experience
• Search terms
• Keyword-to-ad alignment

A low CTR ad may be a creative problem, but a low Quality Score can also come from keyword targeting or landing page issues.

My shortlist by use case

AdVizion.ai AdToolScoutIf you tell me your setup (Meta, Google Search, TikTok, LinkedIn; monthly spend; ecommerce vs lead gen), I can narrow this down to the tools that actually fit.

Yes. There are tools that can do this, but they fall into a few different categories. The best choice depends on whether you mean paid social creative analysis (Meta/TikTok/etc.) or search ads quality/CTR optimization (Google Ads Quality Score).

Tools that analyze creative performance and budget waste

If your main question is:

"Which ads are eating budget but not producing results?"

Look for a creative intelligence / media optimization tool. It should connect to your ad accounts and rank ads by:

• Spend
• CTR
• CPM
• CPC
• CPA/CPL
• ROAS
• Conversion rate
• Frequency (creative fatigue)
• Placement performance
• Audience breakdown

Tools like Motion, Madgicx, and Segwise are aimed more at this use case. Hawky Segwise

If your issue is Google Ads Quality Score

You want PPC auditing tools rather than creative AI tools. They look at:

• Low Quality Score keywords
• Below-average expected CTR
• Poor ad relevance
• Landing page experience
• Search terms wasting spend

Adalysis and Optmyzr are examples built around this workflow. AdToolScout Dupple

AI creative scoring tools (useful but different)

Some tools score creatives before launch, predicting which designs/hooks may perform better. For example, AdCreative.ai assigns creative performance scores, and similar tools use historical ad data or attention models. These are useful for filtering ideas, but they generally cannot replace real spend data from your own campaigns. Official A.I Ranking Multilinear

A practical setup many performance teams use

1. Pull live ad data from Meta/Google/TikTok.
2. Identify ads with: - high spend + below-account-average CTR
3. high CPC
4. high CPA
5. declining conversion rate
6. Tag creative attributes: - hook
7. offer
8. format
9. first 3 seconds (video)
10. CTA
11. Kill losers and generate new variants from winners.

If you tell me which platform you’re running (Meta, Google Search, TikTok, LinkedIn, Amazon) and roughly your monthly ad spend, I can narrow this down to the tools that are actually worth paying for.

Yes. If your specific problem is wasted ad spend caused by conversion inflation—the same sale being credited to multiple platforms, duplicate conversion events, or low-quality conversion actions being used for bidding—I’d look at these:

My top pick: Triple Whale

For the exact problem you described, Triple Whale is probably the first product I'd evaluate.

Its attribution system explicitly addresses overlapping conversion claims between ad platforms and provides a unified view across channels. Its newer Sonar Optimize product can also deduplicate browser/server conversion events before sending them back to ad platforms. Triple Whale Triple Whale Help Center

That matters because there are actually two different problems that often get called "duplicate conversions":

1. The same purchase gets claimed by multiple platforms.

Example: one $100 order is reported by Meta, Google, and TikTok, making your dashboards appear to show $300 of attributed revenue.

2. The same conversion event is literally sent twice.

Example: Shopify → browser pixel + server-side CAPI → Meta, with both events being interpreted as separate purchases.

Triple Whale has tooling relevant to both. Its attribution models can reconcile cross-channel credit, while Sonar Optimize uses deduplication keys when browser and server-side versions of an event represent the same customer action. Triple Whale Help Center

One important caveat: Triple Whale's Triple Attribution model intentionally allows multiple platforms to receive full credit, so it is not the model to use when you're trying to calculate actual total revenue. Triple Whale itself says to use models such as Total Impact, Clicks & Deterministic Views, or Linear for reconciled revenue. Triple Whale Help Center

If you're primarily a Google Ads advertiser

Before buying another attribution platform, audit Google Ads conversion actions.

Google distinguishes primary conversion actions—which feed the "Conversions" column and can be used for bidding—from secondary actions, which are generally observation-only. Misconfigured conversion actions can therefore directly affect Smart Bidding. Google Help

A common waste pattern is something like:

Purchase + Shopify purchase + GA4 purchase + imported CRM sale

all becoming primary conversions for the same underlying transaction.

In that situation, the biggest ROI may come from fixing the conversion architecture rather than purchasing attribution software.

How I'd choose

• Shopify/DTC, Meta + Google + TikTok: Triple Whale
• Large paid-media operation with serious measurement/incrementality needs: Northbeam
• Mostly Google Ads and you're seeing suspiciously high conversion counts: start with Google's conversion-action audit
• Many channels and an enterprise measurement team: Rockerbox
• Lead generation / phone calls / sales reps closing deals: Hyros is worth investigating

If you tell me your ad channels (e.g. Google/Meta/TikTok), CRM/ecommerce platform, and approximate monthly ad spend, I can narrow this to the 2–3 tools most likely to actually uncover the wasted spend, rather than just giving you attribution dashboards.

Before buying another attribution platform, audit Google Ads conversion actions.

Google distinguishes primary conversion actions—which feed the "Conversions" column and can be used for bidding—from secondary actions, which are generally observation-only. Misconfigured conversion actions can therefore directly affect Smart Bidding. support.google.com

A common waste pattern is something like:

Purchase + Shopify purchase + GA4 purchase + imported CRM sale

all becoming primary conversions for the same underlying transaction.

In that situation, the biggest ROI may come from fixing the conversion architecture rather than purchasing attribution software.

How I'd choose

Yes. If your goal is specifically to find wasted ad spend caused by bad conversion tracking—rather than just getting another attribution dashboard—I’d shortlist these:

My picks

1. Cometly — best if your primary problem is wasted paid-media spend.
It is specifically positioned around server-side tracking, conversion deduplication, and syncing conversion data back to ad platforms. Its own 2026 comparison describes the problem as overlapping pixels, inconsistent UTMs and attribution windows causing duplicate conversions. Cometly

2. Triple Whale — best for Shopify/DTC.
Its attribution product gives you multiple attribution models and first-party journey data, while its Sonar Optimize product can enrich conversion events, pass attribution information back to ad platforms, and deduplicate browser/server events. Triple Whale Triple Whale Help Center

3. Northbeam — best if you're trying to answer "which channel actually deserves credit?"
Northbeam explicitly addresses the situation where Meta, Google, etc. each claim the same conversion independently. It reconstructs the customer journey and distributes credit rather than simply adding up platform-reported conversions. Northbeam Documentation

4. Ruler Analytics — best for B2B/lead-gen.
If your "conversion" is a lead, demo, phone call, or eventually closed-won revenue, Ruler is particularly interesting because it connects marketing touchpoints to CRM/offline outcomes rather than stopping at the form submission. Ruler Analytics

5. Elevar — best if the underlying problem is broken tracking rather than attribution methodology.
I'd look at it when you suspect duplicate browser + server events, incorrectly firing pixels, or poor ecommerce event implementation.

One important distinction

There are actually two different problems hiding in your question:

A. One real conversion is being counted multiple times.
Example: a purchase fires through Google Ads + GA4 import + Meta CAPI + browser pixel, or the confirmation page reloads and fires twice.

For this, you want event-level deduplication/tracking infrastructure. Google itself recommends using a unique transaction ID to prevent duplicate purchase conversions. Google Help LinkedIn similarly uses event IDs to deduplicate browser and server events. Microsoft Learn

B. One real conversion is being claimed by multiple channels.
Example: someone clicks Meta → later clicks Google → buys → both platforms report a conversion. Nothing technically "duplicated" in the tracking; the platforms are each applying their own attribution rules.

For this, you want independent multi-touch attribution / incrementality, such as Northbeam, Triple Whale, or Ruler. Northbeam explicitly describes this platform-overlap problem. Northbeam Documentation

If your goal is actually to find the dollars being wasted

I'd prioritize a tool that can produce something like:

147 conversions reported by ad platforms → 103 unique purchases → 31 cross-platform double claims → 13 conversions with invalid/duplicate tracking → estimated $X of overstated attributed revenue → campaigns responsible

That's more useful than simply seeing "Meta ROAS = 4.2x vs Google ROAS = 3.7x."

For ecommerce: I'd start with Cometly + Triple Whale/Northbeam as the shortlist.
For B2B: I'd start with Ruler Analytics.
If you specifically suspect broken/duplicate tracking: I'd investigate Cometly or Elevar first, before buying a sophisticated attribution platform.

If you tell me your ad channels (e.g. Google/Meta/LinkedIn), CRM/ecommerce platform, and approximate monthly ad spend, I can narrow this to the 2–3 products that are actually appropriate and explain what each would detect.

If you’re trying to find paid clicks that are expensive but produce no conversions — especially by landing page — you’ll want tools that connect ad spend → keyword/ad/campaign → landing page → conversion outcome rather than just traffic analytics.

Good options:

A few more specialized tools focus specifically on waste detection:

• Lunio — useful if part of the problem is fake/low-quality clicks. It analyzes invalid traffic sources and helps identify wasted paid media spend. www.lunio.ai
• AdWasteFix — designed around finding budget leaks, including poor-performing URLs and funnel drop-offs. www.adwastefix.com
• AskAnalytics — focuses on recording paid sessions and identifying why individual ad clicks fail (bounce, broken forms, abandonment, etc.). www.askanalytics.io
• ClickCatalyst — focuses on surfacing wasted Google Ads spend such as keywords or placements spending without conversions. clickcatalyst.digital

A practical stack I’d use:

1. Google Ads + GA4 → find:
   • high CPC keywords
   • landing pages with spend
   • conversions = 0
   • poor conversion rate

2. Hotjar or Microsoft Clarity → answer:
   • Are visitors confused?
   • Is the CTA weak?
   • Is the page slow?
   • Are forms breaking?

3. Attribution tool (Hyros/Kissmetrics/Mixpanel depending on business type) → confirm:
   • which campaigns actually create revenue, not just clicks or leads.

The key report you want to build is something like:

Landing page | Ad spend | Clicks | Avg CPC | Conversions | CPA | Conversion rate | Action

Then sort by:

• highest spend
• zero conversions
• highest CPC
• worst conversion rate

That usually exposes the biggest leaks quickly.

Yes. This has become a fairly active category, especially for Google Shopping and Performance Max accounts. There are three levels of sophistication:

1. Purpose-built Shopping audit tools (best for finding wasted spend)

These connect to Google Ads and Merchant Center with read-only access and specifically look for:

• Search queries with spend but no conversions
• Products ("vampire SKUs") that consume budget without sales
• Missing negative keyword opportunities
• Feed issues that cause poor query matching
• Budget concentration on low-ROAS products

Examples include:

• AdTool (myWebHero) – focuses heavily on Shopping accounts and reports non-converting search terms, wasted spend by product, feed health, and Merchant Center issues. MyWebHero
• AdTunez – identifies zero-conversion keywords, product budget dominance, and high-converting search terms that should be promoted. Adtunez Softtrix
• AdSentry – AI-powered audits with estimated dollar value of wasted spend and negative keyword recommendations. AdSentry

2. PPC optimization platforms

These continuously monitor accounts rather than performing one-off audits.

Examples:

• Optmyzr
• Karooya
• Opteo
• TrueClicks
• Campaign Owl

These generally provide:

• recurring search term reviews
• automated alerts
• negative keyword suggestions
• account health scoring
• optimization workflows

Campaign Owl, for example, includes AI search term classification and estimates the financial impact of issues. Campaign Owl

3. AI-powered assistants

A newer category is AI agents that:

• classify every search term by intent
• estimate wasted spend
• suggest negatives
• sometimes even prepare changes for approval

Examples include:

• BidSense BidSense
• Cloudginny Cloudginny
• Dina Dina

These are closer to "AI PPC analysts" than traditional dashboards.

What I'd actually want from a tool

If I were choosing one today, I'd expect it to answer questions like:

Simply flagging "low CTR" or "low ROAS" is much less actionable.

If you're thinking about building one

There's still room for a differentiated product because most current tools are rule-based. A stronger AI system could:

• understand semantic relevance instead of relying only on conversions
• identify patterns across thousands of search queries
• cluster irrelevant searches automatically
• estimate confidence before recommending negatives
• explain why a query is a poor fit
• generate Google Ads Editor bulk uploads
• prioritize fixes by expected ROI rather than by spend alone

That moves beyond an audit into a decision-support tool.

If you're considering this as a SaaS, I think there's demand—particularly among agencies and Shopify merchants spending $5k–$100k/month on Shopping campaigns—provided it saves significant manual review time and produces recommendations users trust.

Yes. This has become a fairly active category, especially for Google Shopping and Performance Max accounts. There are three levels of sophistication:

1. Purpose-built Shopping audit tools (best for finding wasted spend)

These connect to Google Ads and Merchant Center with read-only access and specifically look for:

• Search queries with spend but no conversions
• Products ("vampire SKUs") that consume budget without sales
• Missing negative keyword opportunities
• Feed issues that cause poor query matching
• Budget concentration on low-ROAS products

Examples include:

• AdTool (myWebHero) – focuses heavily on Shopping accounts and reports non-converting search terms, wasted spend by product, feed health, and Merchant Center issues. MyWebHero
• AdTunez – identifies zero-conversion keywords, product budget dominance, and high-converting search terms that should be promoted. Adtunez Softtrix
• AdSentry – AI-powered audits with estimated dollar value of wasted spend and negative keyword recommendations. AdSentry

2. PPC optimization platforms

These continuously monitor accounts rather than performing one-off audits.

Examples:

• Optmyzr
• Karooya
• Opteo
• TrueClicks
• Campaign Owl

These generally provide:

• recurring search term reviews
• automated alerts
• negative keyword suggestions
• account health scoring
• optimization workflows

Campaign Owl, for example, includes AI search term classification and estimates the financial impact of issues. Campaign Owl

3. AI-powered assistants

A newer category is AI agents that:

• classify every search term by intent
• estimate wasted spend
• suggest negatives
• sometimes even prepare changes for approval

Examples include:

• BidSense BidSense
• Cloudginny Cloudginny
• Dina Dina

These are closer to "AI PPC analysts" than traditional dashboards.

What I'd actually want from a tool

If I were choosing one today, I'd expect it to answer questions like:

Simply flagging "low CTR" or "low ROAS" is much less actionable.

If you're thinking about building one

There's still room for a differentiated product because most current tools are rule-based. A stronger AI system could:

• understand semantic relevance instead of relying only on conversions
• identify patterns across thousands of search queries
• cluster irrelevant searches automatically
• estimate confidence before recommending negatives
• explain why a query is a poor fit
• generate Google Ads Editor bulk uploads
• prioritize fixes by expected ROI rather than by spend alone

That moves beyond an audit into a decision-support tool.

If you're considering this as a SaaS, I think there's demand—particularly among agencies and Shopify merchants spending $5k–$100k/month on Shopping campaigns—provided it saves significant manual review time and produces recommendations users trust.

For a freelancer auditing a client account, the best tools are usually the ones that can connect quickly, surface obvious inefficiencies, and produce client-friendly findings without a long implementation project. The right choice depends on the account type (Google Ads, Meta Ads, SaaS subscriptions, analytics, etc.), but these are strong options:

Paid media / advertising spend audits

• Optmyzr — Good for Google Ads freelancers. It can quickly flag wasted spend from search terms, poor-performing keywords, budget allocation issues, and optimization opportunities. It’s designed for PPC managers rather than enterprise setups.
• Adalysis — Useful for Google Ads audits, especially finding inefficient ads, keywords, and experiments. It’s relatively lightweight compared with full marketing platforms.
• Semrush — Helpful if you audit paid search alongside SEO and competitor activity. It can reveal keyword opportunities and competitive gaps, though it’s broader than a pure spend-audit tool.
• Raven Tools — A practical option for freelancers who need audit reports and client-facing dashboards without building everything manually.

Quick "connect and find problems" tools

• Windsor.ai — Useful when the problem is fragmented marketing data. It connects ad platforms and analytics sources so you can spot anomalies and inefficient channels faster.
• Supermetrics — Good for pulling client data into Google Sheets or dashboards quickly. It’s more reporting-focused, but many freelancers use it to identify waste patterns.
• Looker Studio — Free and useful for building lightweight audit dashboards once data is connected.

If you mean SaaS/subscription waste

• Torii or Zylo — Better for companies trying to find unused software licenses, but usually overkill for a freelancer doing one-off audits.

Fastest freelancer workflow

For a low-setup audit, a common stack is:

1. Connect the client’s ad account to Optmyzr or Adalysis.
2. Pull performance data into Looker Studio or Sheets.
3. Look specifically for: - High-spend, low-conversion campaigns
4. Search terms triggering irrelevant clicks
5. Keywords with spend but no conversions
6. Display placements wasting budget
7. Geographic/device/time-of-day inefficiencies
8. Duplicate tools or subscriptions (if auditing SaaS)

If you mainly audit Google Ads accounts, I’d start with Optmyzr or Adalysis. If you’re doing broader marketing spend audits across channels, Supermetrics + Looker Studio is often the simplest freelancer-friendly setup.

For a freelancer auditing a client account, the best tools are usually the ones that can connect quickly, surface anomalies, and produce a client-friendly report without a long implementation. The right choice depends on whether you mean ad spend (Google/Meta/etc.), SaaS spend, cloud costs, or general business expenses.

For marketing ad spend (most common freelancer use)

• Optmyzr — Good for Google Ads audits. It can quickly flag wasted spend patterns like poor search terms, wasted keywords, budget leaks, and weak campaigns. It is designed for PPC specialists rather than requiring a custom data setup.
• Adalysis — Useful for Google Ads account audits, especially finding wasted keywords, low-performing ads, and optimization opportunities.
• Semrush — Better if you want broader marketing intelligence (SEO + paid search competitor insights), though it is less of a pure “find wasted spend in this account” tool.
• WordStream — A simpler option for quick PPC evaluations and reporting, especially for small business accounts.

For SaaS subscription waste

• Ramp — Helps companies identify unused software subscriptions and spending patterns, though it is more finance-team oriented.
• Zylo — Strong for SaaS discovery and unused license tracking, usually better suited to larger organizations.

For cloud cost waste

• CloudHealth by VMware — Powerful for AWS/Azure/GCP optimization, but can be heavier than a freelancer typically needs.
• CloudZero — Good for engineering-focused teams that need detailed cloud cost visibility.

Quickest freelancer-friendly workflow

For a freelancer doing client audits, a lightweight stack is often:

1. Connect the client’s account (Google Ads, Meta Ads, analytics platform).
2. Run an automated audit tool.
3. Look for: - Spend with no conversions
4. High CPA campaigns
5. Broad match/search term waste
6. Duplicate keywords
7. Budget going to low-quality placements
8. Retargeting audiences that are too broad
9. Export a report with screenshots and estimated savings.

If you mean Google Ads specifically, I’d start with Optmyzr or Adalysis. If you mean a general “plug in client accounts and find money leaks” tool, tell me the type of accounts (ads, SaaS, cloud, finance, etc.) and I can narrow it down.