Neutral mentions of Optmyzr

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.

Yes. If you mean “analyze what the bidding automation is actually doing, identify where it’s spending inefficiently, and flag specific budget-waste opportunities”, there are platforms for this.

Best fit: Optmyzr

optmyzr.com is probably the closest match to what you're describing.

It can sit on top of Google Ads/Microsoft Ads and:

• Analyze automated bidding such as Target CPA, Target ROAS, and Maximize Conversions. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Find non-converting search queries, keywords, placements, and PMax listing groups that are consuming spend. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization
• Detect performance anomalies rather than simply notifying you whenever a metric changes. Optmyzr Google Ads Optimization
• Analyze why performance changed using its PPC Investigator/cause analysis. Optmyzr Google Ads Optimization
• Project spend and identify campaigns where additional budget is unlikely to generate additional volume. Optmyzr Google Ads Optimization Optmyzr Help Center
• Layer rules/automation over Google's Smart Bidding rather than replacing it outright. Optmyzr Google Ads Optimization Optmyzr Google Ads Optimization

That's materially different from Google's own recommendations. Google Smart Bidding operates at auction time and considers contextual signals such as query, device, browser, language and time of day; Google's native recommendations can suggest changes to bidding targets, but they aren't really designed as an independent “is the bidding algorithm wasting money?” auditor. Google Google Help

The interesting gap

If you're asking because you're considering building something, I think there's a potentially interesting product distinction:

“Bid strategy auditor” rather than “bid optimizer.”

For example, instead of automatically changing bids, the platform could produce findings like:

• $18.4K spent with no incremental conversion signal
• Target CPA strategy is systematically overbidding on this query cluster
• 23% of spend is going to segments with CPA >2× account target
• PMax is allocating disproportionately to low-value traffic
• Campaign has budget headroom, but increasing budget is unlikely to produce incremental conversions
• Automated bid changes increased CPC 31% without corresponding conversion-rate improvement
• This campaign's apparent ROAS improvement is coming from conversion mix rather than incremental revenue
• These 14 campaigns are competing for essentially the same auction inventory

That last layer—attribution of waste specifically to the behavior of the automated bidding system—is less common than generic PPC optimization.

If that's what you're exploring, I can also map out the existing competitors in this exact niche and where there is still a product gap.

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

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. 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.