ChatGPT answers, unedited

Yes. There are several types of solutions designed specifically to identify and reduce wasted spend from low-quality placements in Display and Video campaigns. They generally fall into four categories:

1. Placement intelligence and automated exclusion tools

These analyze placement-level performance (sites, apps, YouTube channels/videos, CTV inventory) and flag placements that spend budget without delivering quality outcomes.

Examples:

• Squared.io — uses AI-based placement analysis to identify low-quality, unsuitable, or fraudulent inventory and automate exclusions across supported Google campaigns. Squared
• Filament — focuses on YouTube placement quality, using exclusion lists and analysis to identify low-value channels and inventory. Filament
• Cassidy AI — offers placement review workflows that evaluate domains, relevance, reputation signals, and performance data to create blocklists/optimization lists. Cassidy AI

2. Media verification and brand-safety platforms

These go beyond CPA/ROAS and evaluate whether impressions came from quality environments.

Common signals:

• Invalid traffic (bots/fraud)
• Low viewability
• Made-for-advertising (MFA) sites
• Brand suitability issues
• Poor contextual alignment

Examples:

• Integral Ad Science
• DoubleVerify
• Human Security

These platforms can provide quality scoring and verification layers for Display, Video, CTV, and programmatic campaigns. Human Security SEC

3. DSP / ad platform optimization workflows

If you mainly run Google Display Network, YouTube, or DV360, you can build a placement-waste workflow using:

• Placement report exports
• Spend thresholds (e.g., "flag placements with $500 spend and zero conversions")
• CPA/ROAS outlier detection
• CTR anomaly checks
• App/site category exclusions
• YouTube channel exclusions

Some third-party tools automate this. For example, placement analyzers can score segments and recommend exclusions based on spend, conversion rate, CPA, and other performance signals. Pace Ads

4. Custom monitoring systems

Larger advertisers often build internal dashboards that:

1. Pull placement reports daily from Google Ads/DV360
2. Score placements using rules such as:

• Spend > X
• Conversions = 0
• CPA > 2–3× target
• High bounce rate or poor downstream quality
• Suspicious domain/app patterns
• Alert media buyers
• Push exclusions back into campaigns

A typical scoring model might look like:

If you mean Google Ads Display + YouTube specifically, solutions like placement auditing, exclusion automation, and brand-safety tools are usually the closest fit. If you mean programmatic/DV360/CTV, the solution category is more often called media quality measurement, supply-path optimization, or inventory quality management. peer39.com agencyreporter.com

Yes. There are several solutions that specifically help identify wasted spend from low-quality display/video placements, ranging from built-in platform controls to third-party media-quality tools.

What they typically flag

A useful placement-quality solution can score or flag inventory based on:

• Low conversion / high CPA relative to the campaign baseline
• Low viewability
• Invalid traffic / bot activity
• High bounce or low engagement
• Ad-heavy or MFA (“made for advertising”) sites
• Poor-quality mobile apps
• Brand-safety / suitability issues
• Low attention or very short exposure
• Suspicious placement-level spend with zero downstream value

Solutions worth looking at

• Google Ads / Display & Video 360: Google lets you review placements and exclude individual websites, apps, and YouTube videos. DV360 also supports pre-bid controls using DoubleVerify, IAS, and Scope3 for fraud, viewability, and brand suitability. Google Help Google Help
• DoubleVerify (DV): Useful when you want third-party measurement and pre-bid/post-bid controls around fraud, viewability, brand suitability, and app/site quality. Google Help
• Integral Ad Science (IAS): Similar role—media quality, invalid traffic, viewability, brand safety/suitability, and pre-bid filtering. Google Help
• Scope3: Particularly interesting if you're looking for placement-level media quality, including viewability, attention, excessive refreshes, placement quality, and IVT/fraud. Scope3
• Squared.io: More directly oriented toward automating placement review/exclusion for Google inventory; it describes using AI to identify and automatically exclude harmful, low-quality, and fraudulent placements. Squared

If your question is really “is there a tool that tells me where my money is being wasted?”

Yes—and that's a slightly different problem from brand safety.

I'd look for a product that takes your placement-level spend + performance data and produces something like:

Placement: example-site.com
Spend: $4,820
Conversions: 0
Viewability: 31%
IVT risk: High
Quality score: 18/100
Recommendation: Exclude

That lets you distinguish “unsafe inventory” from “safe but economically worthless inventory.” The latter is often where a lot of wasted spend hides.

If you're evaluating vendors for this, I can also give you a shortlist of 5–10 products that specifically detect and automatically suppress low-quality placements, with pricing, integrations (Google Ads/DV360/The Trade Desk), and whether they can actually take action rather than just report the problem.

Yes. There are solutions that go beyond simply giving you a placement report—they can identify likely wasted spend and automatically help suppress low-quality inventory across display and video.

The distinction I'd make is:

• Native platform controls: Google Ads lets you review placements and exclude sites, apps, videos, and channels that are ineffective or unsuitable. Google Help Google Help
• Programmatic/verification solutions: In DV360, third-party integrations can score/filter inventory for fraud/invalid traffic, viewability, brand suitability, and other media-quality signals before or while buying impressions. Google Help
• Wasted-spend detection: The more interesting solution is an analytics/optimization layer that looks for combinations such as high spend + low conversion quality, extremely low viewability, suspicious traffic, poor attention, low engagement, or anomalous placement behavior, then produces an actionable exclusion list.

For example, a useful system might flag:

$18,400 spent → 2,100 placements → 37 placements account for 62% of spend → 0 qualified conversions → unusually high CTR but near-zero downstream engagement

and then recommend or automatically push those placements into an exclusion list.

Google even supports scheduled placement-exclusion lists, so a third-party system can maintain a continuously updated blocklist rather than requiring someone to manually download and upload placements. Google Help

If you're asking because you're looking for a product/vendor that specifically does this, I can give you a shortlist of the best options (e.g. DoubleVerify, Integral Ad Science, Scope3, or newer optimization platforms) and compare what signals they use, whether they work with Google Ads/DV360, and whether they actually automate wasted-spend detection.

Yes. There are now several solutions specifically aimed at finding wasted spend at the placement level across Display and Video.

The distinction I'd make is between:

1. Google's native controls — placement reports + exclusions. Google lets you exclude specific websites, apps, videos, or domains at campaign/account level, but it doesn't really give you a sophisticated "this placement is wasting money" score. support.google.com
2. Third-party placement-quality/fraud tools — these analyze placements for things like invalid traffic, low engagement, poor viewability, MFA/spam sites, brand-safety issues, and anomalous performance, then recommend or automate exclusions.

A few examples worth looking at:

• Lunio — focuses heavily on invalid traffic and identifying spammy Display placements, including reporting invalid traffic by placement. www.lunio.ai
• Tapper — detects invalid Display traffic, spammy placements and domain spoofing, with automated exclusions. tapper.ai
• Squared.io — more focused on AI-powered placement analysis, brand suitability, fraud and automatically excluding low-quality inventory. www.squared.io
• Filament — particularly interesting if YouTube/video is important; it maintains a verified channel database and can push exclusion lists into Google Ads/DV360. www.wearefilament.com
• TrafficPruner — positioned specifically around forensic placement analysis and identifying spend leakage in Google Ads, including Display/PMax. www.trafficpruner.com

If you're thinking about building/buying one

The interesting product opportunity isn't simply "show me my placements." Google already does that.

It's more like:

"Tell me exactly which placements are wasting money, why they're bad, how much they've wasted, and what I should exclude."

For example, a useful dashboard could score every placement on:

Then automatically create a placement exclusion list for Google Ads.

That is materially more useful than a conventional brand-safety tool because it connects quality → performance → dollars wasted → action.

If you're asking because you're evaluating whether a product like this already exists vs. whether there's a gap worth building, I can map the competitive landscape and identify what's still missing.

Yes. There are solutions that identify and reduce wasted spend from low-quality placements in display and video campaigns. They generally fall into three categories:

• Placement quality monitoring platforms — analyze domains, apps, YouTube channels, and inventory sources to flag issues like low engagement, fraud risk, MFA (made-for-advertising) sites, poor viewability, or unsuitable content. Examples include Integral Ad Science, DoubleVerify, and Zefr. Google Help ZEFR
• DSP/platform controls — tools like Google Display & Video 360 provide placement reports, exclusions, and third-party verification integrations to block poor-quality inventory. Google Help
• AI-driven placement auditors — newer tools score placements automatically and recommend or apply exclusions based on waste signals and brand suitability. Squared

Typical flags include:

• Spend with no conversions or engagement
• High impressions but low viewability
• Suspicious click patterns or invalid traffic
• Low-quality apps/sites/channels
• Brand suitability risks
• Repeated spend leakage across campaigns

If you mean Google Ads Display/YouTube specifically, placement reports + automated exclusion workflows are usually the starting point; third-party verification is added when campaigns spend enough to justify it. Google Help

Yes. There are several types of solutions designed specifically to identify and reduce wasted spend from low-quality placements in display and video campaigns. They generally fall into three buckets:

1. Placement-quality monitoring and automated exclusion tools

These tools ingest placement reports (domains, apps, YouTube channels, CTV inventory, etc.), score quality, and recommend or automatically apply exclusions.

Examples:

• Squared.io — analyzes placements and can automate exclusions for unsuitable or low-quality inventory across channels including Display and Video. Squared
• DisplayGateGuard — focuses on identifying low-quality domains, made-for-advertising sites, redirects, and risky placements from placement lists. DisplayGateGuard
• Pace — includes placement/audience waste analysis that ranks segments by wasted spend signals and supports exclusions in some ad platforms. Pace Ads

2. Media quality and verification platforms

These go beyond performance metrics and evaluate whether impressions are coming from valuable environments:

• DoubleVerify — measures factors such as viewability, fraud, brand suitability, and media quality to identify waste. DoubleVerify
• HUMAN Security — provides invalid traffic detection, viewability, brand safety, and media quality controls. Human Security
• Zefr — focuses heavily on content suitability and eliminating low-quality media placements, particularly in video/social environments. ZEFR

3. Video-specific placement controls

For YouTube, CTV, and online video, some solutions specialize in finding channels or inventory that generate cheap impressions but poor outcomes.

• Filament — provides YouTube/CTV exclusion lists intended to remove low-quality or unsuitable inventory. Filament

What these systems typically flag

A good placement-quality solution will look for things like:

• High spend + zero conversions
• High CTR but poor downstream conversion quality (click farms, accidental clicks)
• Made-for-advertising (MFA) sites
• Apps/sites with abnormal engagement patterns
• Low viewability inventory
• High invalid traffic risk
• Kids/irrelevant content exposure
• Poor-performing YouTube channels or apps
• Excessive frequency or impression waste
• Geographic/device mismatches

If you’re looking specifically for a “wasted spend detector”

The core workflow you’d want is:

1. Pull placement-level data from Google Ads, DV360, The Trade Desk, Meta, etc.
2. Score each placement on: - spend
3. conversions/CPA
4. engagement quality
5. viewability
6. fraud risk
7. contextual fit
8. Create a “money wasted” ranking: - “$18,400 spent”
9. “0 qualified conversions”
10. “95% below account CPA benchmark”
11. “recommend exclusion”
12. Push exclusions back into the buying platform.

For a performance marketing team, I’d look for a tool that combines placement-level performance analysis + automated exclusion workflow, rather than a pure brand-safety scanner. Brand safety alone may tell you a placement is risky; it does not always tell you whether it is actually wasting budget. Pace Ads Human Security

If you mean Google Display/YouTube specifically, DV360/programmatic, or Meta Audience Network, the best options differ.

Yes. There are solutions specifically designed to identify and reduce wasted display/video spend from low-quality inventory. The market generally breaks into three approaches:

• DoubleVerify — measures things like invalid traffic/fraud, viewability, brand suitability, and contextual quality, and can use those signals for pre-bid targeting. Its Quality Targeting product is explicitly positioned around automating media-quality optimization and reducing wasted impressions. DoubleVerify Google Help
• Integral Ad Science (IAS) — provides pre-bid inventory classification in DV360, including viewability, brand safety, and fraud/quality signals. Google Help
• Google Display & Video 360 — has native brand-suitability and third-party verification controls. It can filter inventory before bidding based on IAS, DoubleVerify and other verification signals. Google Help
• Google Ads itself — gives you placement reports and exclusion controls, so you can identify sites/apps/videos that are spending without producing meaningful results and exclude them. Google Help Google Help

The more interesting opportunity

If by "flags wasted spend" you mean a system that proactively tells you "these placements are wasting $X and here's why", that's a little different from ordinary brand-safety tooling.

A useful system would score every placement on something like:

Waste Score = spend × probability of low-quality inventory

using signals such as:

• Very low viewability
• High invalid/bot traffic
• Extremely low CTR or conversion rate
• High spend with zero conversions
• Poor post-click engagement
• Excessive frequency
• App/site quality
• Suspicious impression/click patterns
• Brand-suitability risk
• Low attention/time-in-view
• Placement performance relative to the campaign/account benchmark

Then it could produce something like:

Google already provides the mechanism for exclusions, but the "find the waste and quantify it" layer is where a dedicated optimization product can add significant value. Google Help

If you're asking because you're evaluating/building a product in this space, I can also map out the competitive landscape—DoubleVerify vs IAS vs Scope3 vs newer AI/ad-optimization tools—and identify the gap that isn't well served today.

Yes. There are solutions specifically aimed at identifying wasted spend from low-quality Display/Video placements, although the sophistication varies.

The basic workflow is:

• Ingest placement-level data — site, app, YouTube channel/video, impressions, spend, clicks, conversions, viewability, etc.
• Score placement quality — e.g. high spend + zero conversions, suspicious CTR, poor viewability, excessive frequency, low engagement, or invalid traffic.
• Flag waste automatically rather than making someone manually comb through placement reports.
• Push exclusions back into the ad platform so bad placements stop receiving spend.

For Google Ads, the native platform already lets you exclude individual websites, apps, videos and channels, and maintain placement-exclusion lists. Google Help Google Help Google also supports content-suitability and placement controls across Display and Video campaigns. Google Help Google Help

For programmatic/DV360, it's more sophisticated: third-party verification such as IAS, DoubleVerify, and Scope3 can be used for fraud/invalid traffic, viewability, brand suitability and contextual quality, including pre-bid filtering. Google Help

If you're looking for a specific product

There are essentially three categories:

1. Native Google tooling — placement reports + exclusions. Cheap/free, but largely manual. Google even provides placement reporting for Performance Max. Google Help
2. Verification platforms — IAS, DoubleVerify, Scope3, etc. Better for fraud, viewability and brand suitability, particularly in programmatic.
3. Automated waste-detection/optimization tools — these sit on top of campaign data and answer something closer to “which placements are wasting money?” and can automate exclusion recommendations/actions.

If what you mean is “I want a tool that connects to Google Ads/DV360, finds the worst placements based on spend + conversion quality, and tells me exactly where I'm wasting money”, I can give you a shortlist of the best products that do that and compare them by Google Ads integration, automation, pricing, and whether they handle both Display and YouTube/video.

Yes. There are a few classes of solutions, depending on whether you mean “flag the waste” or “automatically prevent it.”

What exists today

• Google Ads native controls: Google lets you report on placements and exclude specific websites, apps, and YouTube videos/channels that are performing poorly. You can also use content-suitability and inventory controls. Google Help Google Help
• DV360: If you're buying through Display & Video 360, there are more sophisticated quality controls, including viewability, ad-fraud prevention, and Google's True Advertising Quality (TRAQ) options. DV360 also supports third-party quality segments. Google Help Google for Developers
• Third-party verification: Vendors such as adloox.com can provide pre-bid/post-bid quality controls for fraud, viewability, and brand suitability within DV360. Adloox
• Automated placement-cleanup tools/scripts: There are also tools that ingest placement performance and automatically flag or exclude things like high-spend/zero-conversion placements, suspicious CTR, gaming apps, kids' content, and other junk inventory. GitHub

The gap I'd pay attention to

If you're asking because you're considering building or buying a solution, there's an interesting distinction:

Most tools are good at brand safety, fraud, or predefined exclusions. Fewer are focused specifically on “this placement is consuming money but is unlikely to generate incremental business value.”

A useful system would score every placement using signals such as:

• Spend / impressions
• Conversion rate and CPA
• Post-click engagement
• Viewability
• CTR anomalies / accidental-click patterns
• Frequency
• New vs. returning users
• Conversion lag
• Placement type (site, app, YouTube channel/video)
• Historical performance
• Brand-safety / contextual risk
• IVT/fraud signals

Then produce something like:

🔴 $4,820 wasted — 37 placements

12 placements have spent $2,900 with zero conversions.
8 have anomalously high CTR + extremely low engagement.
17 are low-quality inventory with CPA >3× campaign average.

And, importantly, distinguish “bad placement” from “not enough data yet.”

That last piece is where I think there is real product value: an automated waste-detection layer that sits on top of Google Ads/DV360 and continuously identifies, explains, prioritizes, and optionally excludes low-quality inventory.

If you're exploring this as a product/business idea, I can also map out the existing competitors and where the whitespace is.

Yes. There are several solutions specifically aimed at finding wasted spend from poor-quality display/video placements—but they differ in whether they focus on fraud, brand suitability, or actual performance.

The main options

• Lunio — focuses heavily on invalid traffic and spammy placements. It analyzes click behavior, identifies suspicious traffic, and reports invalid traffic by placement so you can exclude the sources wasting budget. Lunio
• Tapper — audits Google Ads Display placements, identifies fraudulent/low-quality/MFA domains, estimates the budget consumed, and can continuously maintain placement exclusion lists. Tapper
• Squared.io — uses AI to analyze placements at scale and automatically exclude harmful, low-quality, or fraudulent inventory. Squared
• IAS / DoubleVerify — more enterprise-oriented. In DV360, they can provide pre-bid/post-bid controls around fraud, viewability, brand safety, and suitability. Google Help Google Help
• Google Ads itself — you can inspect placement performance and exclude individual sites, apps, videos, or channels. Google also supports scheduled uploads of placement-exclusion lists, so an external system can automate the process. Google Help

The interesting gap

If by "wasted spend" you mean more than just obvious fraud—for example:

"$18,400 went to 2,300 placements, but these 147 placements consumed $4,100 with terrible engagement/conversion quality."

—that's a more interesting problem.

A good system would combine placement-level spend + conversions + CPA/ROAS + viewability + IVT + domain/app quality + MFA signals, then produce something like:

Google provides the exclusion mechanism, but third-party products can provide the analysis and automation layer. Google Help

If you're asking because you're looking for a product to use—or considering building one—I can also map out the current competitive landscape and identify where there's still an underserved opportunity.

Yes. There are several types of solutions that flag (and sometimes automatically block) wasted spend from low-quality placements in display and video campaigns. The right choice depends on whether you mean Google Ads/YouTube, DV360/programmatic, or broader media buying.

1. Placement-quality monitoring and exclusion tools

These analyze placement reports and identify inventory that is consuming budget without meaningful outcomes.

Typical flags:

• High spend + zero conversions
• High CTR but poor downstream quality (bounce, short sessions, fake leads)
• Mobile apps/game inventory generating accidental clicks
• Made-for-advertising (MFA) sites
• Low viewability placements
• Suspicious traffic patterns

Examples:

• Integral Ad Science — media quality, fraud, viewability, and brand suitability monitoring.
• DoubleVerify — verification and quality measurement for display/video inventory. DoubleVerify
• Scope3 — placement-level media quality signals, including invalid traffic and problematic placements. Scope3

2. Google Ads / YouTube placement hygiene tools

For Google Display Network and YouTube campaigns, some tools specifically focus on finding placements to exclude.

Examples:

• Clean Digital offers a placement exclusion utility that reviews Google Ads placement exports and flags things like apps, anonymous inventory, and spend without conversions. Clean Digital
• Filament focuses on YouTube channel-level exclusions using human-reviewed inventory lists. Filament

3. Automated media optimization platforms

These go beyond flagging and try to recommend budget shifts:

• Detect underperforming campaigns, channels, audiences, and placements
• Trigger alerts when CPA/ROAS thresholds deteriorate
• Recommend reallocations

For example, Measured provides media efficiency analysis and optimization workflows. Measured®

4. Building your own placement waste detector

Many larger advertisers build this internally. A typical system:

1. Pull placement-level data daily:

• Spend
• Impressions
• Clicks
• Conversions
• CPA/ROAS
• Viewability
• Fraud signals
• Score each placement:

• Spend percentile
• Conversion rate vs campaign average
• Cost per acquisition variance
• Engagement quality
• Brand-safety risk
• Flag rules such as:

• Spend > $500 and 0 conversions
• CPA > 3× campaign target
• CTR > benchmark but conversion rate near zero
• High impressions + low viewability
• Push actions:

• Google Ads placement exclusions
• DV360 blocklists
• Budget redistribution alerts

If you’re asking from a performance marketing/advertiser perspective, the closest fit is usually a placement intelligence + automated exclusion workflow, rather than a generic analytics platform. Several vendors now specifically target this “hidden placement waste” problem because low-quality inventory can materially reduce display and video efficiency. Filament DoubleVerify

If you tell me your stack (Google Ads, DV360, The Trade Desk, Meta Audience Network, etc.) and monthly spend range, I can narrow down the best-fit options.

Yes. There are solutions that specifically identify wasted spend from low-quality display/video placements, although they vary in how automated they are.

The main categories

• DoubleVerify — Flags inventory for fraud/invalid traffic, low viewability, brand-safety/suitability issues, and other media-quality problems. In Google Display & Video 360, DV's signals can actually be used for pre-bid filtering, so problematic inventory can be avoided rather than merely reported afterward. Google Help Google for Developers
• Integral Ad Science (IAS) — Similar approach: verification and optimization around invalid traffic, viewability, brand suitability, and contextual quality. Google supports third-party verification integrations in DV360. blog.google
• Scope3 — Particularly relevant if you're trying to identify poor-quality/open-web supply and understand inventory quality at the domain/app/supply-path level. Google lists Scope3 as a third-party option for brand-suitability controls in DV360. Google Help
• Native Google Ads / DV360 controls — You can already analyze placements and exclude low-quality sites/apps/channels. DV360 also supports targeting based on predicted viewability and historical fraud/IVT. Google Help Google for Developers

But there's an important distinction

If by "flags wasted spend" you mean:

"Show me the placements where I'm spending money but getting little/no business value, explain why they're bad, quantify the wasted dollars, and tell me what to exclude."

That's a more specialized problem than traditional brand-safety verification.

A good system would combine placement-level spend + conversions/CPA/ROAS + viewability + IVT + attention/engagement + domain/app quality + frequency + contextual suitability, then produce something like:

Google itself exposes some of these controls—e.g. DV360 can avoid sites/apps based on historical fraud/IVT rates—but the "wasted-dollar diagnosis" layer is where third-party analytics/optimization products or a custom solution can add significant value. Google for Developers Google for Developers

If you're asking because you're evaluating/building a product in this space, I can also map out the existing vendors and identify the gap that isn't well served today.

Yes. There are solutions specifically designed to identify and reduce wasted display/video spend caused by low-quality placements.

The main approaches are:

• Placement-level optimization: Analyze spend, conversions, CPA/ROAS, viewability, CTR, completion rate, and frequency by domain/app/YouTube channel or video, then flag placements that consume spend without producing meaningful outcomes.
• Fraud/invalid-traffic detection: Tools such as DoubleVerify and Integral Ad Science can provide pre-bid and post-bid signals around fraud, brand suitability, and media quality. DV360, for example, supports targeting based on historical fraud/invalid-traffic rates and viewability. Google Support Google Support
• Automated exclusion: Once bad placements are identified, they can be pushed into exclusion lists rather than relying on someone to manually review reports. DV360 supports bulk placement/app/URL exclusions and YouTube placement exclusions. Google Support Google Support
• Inventory-quality controls: Google Display & Video 360 itself has controls for inventory sources, viewability, brand suitability, and authorized inventory. Google Support Google Support Google Support

If you're looking for a product opportunity

A particularly useful version would go beyond simply saying "this placement is bad." It would automatically answer:

"You spent $X on these 147 placements last week; $Y is likely wasted. Here's why, and here's the exclusion list I'd apply."

For example, a placement could be flagged when it has some combination of:

high spend + zero/low conversions + poor viewability + suspicious traffic + abnormal CTR + high frequency + low video completion

Then the system could assign a Waste Score and estimate recoverable spend.

That is more compelling than another generic media-quality dashboard because the output is directly actionable: flag → quantify waste → recommend exclusion → push exclusion back into the campaign.

If you're asking because you're evaluating existing vendors vs. building this capability, I can map out the current competitive landscape (e.g. DoubleVerify, IAS, Scope3, Pixalate, etc.) and identify the gap an independent "wasted-placement detector" could fill.

Yes. There are several types of solutions that can flag (and sometimes automatically suppress) wasted spend from low-quality placements in display and video campaigns. The right choice depends on whether you mean fraud/invalid traffic, poor performance placements, brand suitability, or made-for-advertising (MFA) inventory.

Common approaches:

For a typical Display/Video workflow, the stack often looks like:

1. Collect placement-level data

• Spend
• Impressions
• Clicks
• Conversion rate
• CPA/ROAS
• Viewability
• Invalid traffic indicators
• App/site/domain
• Score placements

Example rules:

• Spend > $500 with zero conversions → review/exclude
• CPA > 3× campaign target → downrank
• Viewability < 30% → investigate
• High bot/fraud score → block
• High refresh-rate apps or MFA domains → exclude
• Push exclusions back into buying platforms

• Placement exclusions
• App/site blocklists
• Inventory quality filters
• Pre-bid verification segments

If you are running Google Display or YouTube/Video campaigns, Google already provides invalid traffic filtering and supports third-party verification integrations for media quality controls. Google Support Google Support However, many advertisers add a separate layer because platform-reported invalid traffic does not always catch every type of "waste" (for example, legitimate but very low-value placements).

If you tell me your setup (Google Ads Display, DV360, The Trade Desk, Amazon DSP, Meta Audience Network, etc.) and whether the issue is bad CPA, bots, MFA sites/apps, or brand safety, I can suggest the most relevant tools and workflow.

Yes. There are solutions specifically designed to identify wasted display/video spend at the placement or supply level, rather than just looking at campaign-level CPA/ROAS.

A few categories are worth separating:

• lunio.ai — focuses on invalid traffic (IVT), fake/bot traffic, and low-quality placements. It can report problematic traffic by placement, domain, app, location, etc., and use those signals to create exclusions. Lunio Lunio
• IAS / DoubleVerify / Scope3 — more traditional ad-quality and verification solutions. In DV360, for example, third-party providers can be used to target against fraud/IVT, viewability, brand suitability, and other inventory-quality signals. Google Help
• jouncemedia.com — particularly interesting if by “low quality” you mean MFA (Made For Advertising), cheap-reach inventory, excessive ad density, auto-refreshing placements, or inefficient supply paths, rather than outright bots. Jounce explicitly identifies these types of inventory as candidates to block. Jounce Media Jounce Media

The important distinction

If your problem is:

“Which placements are generating impressions/clicks that are basically worthless?”

then Lunio + an ad-quality/verification provider is probably the closest fit.

If your problem is:

“Which publishers/apps/supply paths are technically delivering impressions, but the inventory itself is crap?”

then Jounce / Scope3 / IAS / DoubleVerify are more relevant.

And if you're primarily in Google Display & Video 360, Google already filters some invalid traffic itself, but you can also apply third-party quality controls. Google notes that its own invalid-traffic filtering happens both pre-bid and post-serve, while DV360 supports third-party targeting based on fraud, viewability, and suitability. Google Help Google Help

If you're thinking about this as a product opportunity, there is an interesting gap: a tool that takes placement-level spend + conversion/attention/quality signals and simply says “You wasted $X on these 47 placements; here are the exclusions to make” could be much more actionable than a generic brand-safety dashboard.

If you tell me whether you're running Google Ads, DV360, The Trade Desk, YouTube, or another DSP, I can map out the existing solutions and where the gaps are.

Yes. There are solutions that specifically identify wasted spend from poor-quality display/video inventory, although they vary in how automated they are.

The main categories are:

• DoubleVerify (DV) — flags fraud/invalid traffic, low viewability, brand-safety issues, and other inventory-quality problems. In DV360, you can use its pre-bid segments to avoid sites/apps with historical fraud/IVT rates. Google for Developers
• Integral Ad Science (IAS) — provides pre-bid media-quality controls for DV360, including ad-fraud prevention, contextual/brand-safety controls, and viewability targeting. Google Help
• Scope3 / Adloox — offers pre-bid filtering for fraud, poor viewability, and unsuitable inventory across display and video, including URL/app/domain-level controls. Google Help Adloox
• DV360 itself — has native optimization around viewability and can use third-party verification data to avoid low-quality inventory. Its automated bidding also incorporates inventory-quality signals. Google Help

But there's an important distinction

If by "flags wasted spend" you mean:

"Show me exactly which placements are consuming $X, have terrible engagement/conversion quality, and recommend which ones I should cut."

That's a slightly different problem from traditional brand safety/fraud verification.

A useful system would score every placement/app/site/channel against things like:

Spend → impressions → viewability → completion rate → clicks → conversions → CPA/ROAS → IVT/fraud → frequency → incremental value

Then produce something like:

🔴 Remove: app XYZ — $4,820 spend, 0 conversions, 12% viewability, 38% IVT
🟠 Review: site ABC — $2,100 spend, CPA 4.2× campaign average
🟢 Keep: site DEF — $1,400 spend, CPA 35% below campaign average

Google provides the underlying placement and quality controls, but the "wasted-spend detector + recommended action" layer is where specialized analytics/optimization products or a custom reporting system can add value. Google Help Google for Developers

If you're asking because you're evaluating/building a product in this space, I can also map out the existing vendors and identify the gap that isn't well served today.

Yes. There are solutions that do this, but they generally fall into three tiers:

• Built into Google Ads/DV360: You can identify poor-performing placements and exclude sites, apps, videos, URLs, etc. Google Ads explicitly supports excluding placements that are “not performing well,” and DV360's Optimization view can surface poorly performing environments and URLs. Google Help Google Help
• Media-quality/verification platforms: Tools such as IAS and DoubleVerify can score/filter inventory for things like invalid traffic/ad fraud, viewability, brand suitability, and contextual quality. DV360 can use their data for pre-bid filtering. Google Help Google Help
• Custom “waste detection” layer: This is probably closest to what you're describing: ingest placement-level spend + impressions + clicks + conversions/video metrics, score each placement, and automatically flag things like: - high spend + zero conversions
• unusually high CTR with no downstream activity
• very low viewability
• high IVT/fraud risk
• huge impression volume from low-value apps/sites
• placements consuming budget but producing materially worse CPA/ROAS
• suspiciously short video engagement/completion patterns
• newly discovered placements that suddenly absorb budget

The important distinction is that brand-safety tools don't necessarily equal “wasted spend detection.” A placement can be perfectly brand-safe but still be terrible economically. Conversely, a placement can have good CPA but questionable traffic quality.

If you're looking for a product to buy

I'd look at IAS, DoubleVerify, and Scope3 for the media-quality side, and compare them against a custom analytics/automation layer for the actual “this placement wasted $X and here's why” workflow.

Google itself now lets you schedule automated placement-exclusion lists, so a system can potentially feed a continuously updated exclusion list back into Google Ads rather than requiring someone to manually maintain it. Google Help

If you tell me whether you're running Google Ads, DV360, The Trade Desk, or another DSP, I can map out the best existing solutions—and specifically identify which ones can automatically flag wasted spend at the placement level rather than just provide brand-safety reporting.

Yes. There are solutions specifically designed to identify and/or automatically block low-quality placements that waste Display and Video budget.

A few approaches:

• Optmyzr — its Smart Placement Exclusions feature proactively identifies poor-quality Display placements, including mobile apps, and automatically excludes them rather than waiting for them to accumulate wasted clicks. Optmyzr Help
• Tapper — has a Placement Exclusions product that analyzes placements across YouTube, Performance Max, and Display and automatically removes environments it considers low quality. Tapper
• Google Ads / DV360 + verification — Google gives you placement reports and exclusion controls, while DV360 can use third-party verification such as IAS for fraud, viewability, brand suitability, and contextual quality filtering. Google Help Google Help Google Help

The interesting distinction is what "low quality" means. A useful solution shouldn't just flag unsafe sites. It should ideally score placements based on things like:

• Spend with zero/low conversions
• High spend relative to account/campaign benchmarks
• Extremely low engagement or viewability
• Suspicious click/conversion patterns
• Mobile-app inventory that produces poor-quality traffic
• Repetitive placements consuming budget without incremental results
• Context/brand-suitability problems
• Placements whose performance is deteriorating over time

If you're asking because you're looking for a tool that automatically tells a media buyer "you've wasted $X on these 37 placements" and recommends/executies exclusions, then yes—that's a distinct product category, and I can give you a comparison of the best options (Optmyzr, Tapper, IAS, DoubleVerify, etc.) and what each actually automates.

Yes. There are solutions that go beyond basic brand-safety blocking and identify wasted spend at the placement level—e.g., sites/apps/videos generating impressions but poor outcomes, low viewability, invalid traffic, or suspicious engagement.

A few approaches:

• Google Ads native controls: You can review placement performance and exclude specific websites, apps, videos, or channels. Google also supports scheduled placement-exclusion lists, so a continuously maintained list can be pushed into campaigns. Google Help Google Help
• DV360 + third-party verification: If you're buying programmatically, DV360 can use DoubleVerify, Integral Ad Science, or Scope3 for fraud/invalid-traffic, viewability, and brand-suitability targeting. For example, DV360 can target based on historical fraud/IVT and viewability. Google Help
• Placement-quality analytics platforms: These are more interesting if your goal is specifically "tell me where my money is being wasted and what to do about it." They can score placements using combinations of spend, conversions, CPA/ROAS, viewability, IVT, engagement quality, app/site characteristics, and historical performance, then recommend or automate exclusions.

The important distinction is:

Brand safety ≠ wasted spend.

A perfectly brand-safe placement can still be terrible inventory—for example, $5,000 spent on an app/site with thousands of impressions, 0 conversions, 25% viewability, and suspiciously high click-through. Google gives you the ability to exclude it, but a dedicated quality/optimization layer can surface that problem automatically. DV360's verification integrations get closer to this by incorporating fraud and viewability signals before bidding. Google Help

If you're asking because you're looking for a product/vendor to solve this, I can give you a shortlist of the best options (including DoubleVerify, IAS, Scope3, and newer placement-optimization tools) and compare them on whether they actually flag wasted spend, automate exclusions, support Google Ads/YouTube, and pricing.

Yes. There are several solutions that specifically identify and help eliminate low-quality/wasteful placements in display and video.

Strong options

• DoubleVerify (DV) — probably the closest match if your goal is to flag wasted spend, not just brand-safety violations. It can evaluate placements for fraud/invalid traffic, viewability, brand suitability, and other media-quality signals, and its pre-bid controls can prevent buying poor inventory. DoubleVerify DoubleVerify
• Integral Ad Science (IAS) — provides pre-bid inventory classification and targeting around fraud, viewability, brand safety/suitability, and unrateable inventory. It integrates directly with Display & Video 360. Google Help
• Google Display & Video 360 — has native controls for excluding low-quality placements and can layer in IAS, DoubleVerify, and Scope3. DV360 also filters invalid traffic automatically. Google Help Google Help
• Google Ads — if you're running campaigns directly in Google Ads rather than DV360, you can inspect placement performance and exclude specific websites, apps, videos, or domains. Google also supports scheduled placement-exclusion lists, which can automate updates. Google Help

The important distinction is that "low quality" isn't just brand safety. A useful waste-detection system should ideally flag placements based on a combination of:

Spend + conversions/CPA + viewability + invalid traffic/fraud + engagement quality + placement type + brand suitability

For example, it could surface:

$18,400 spent → 2.1M impressions → 31% viewable → 0 conversions → 14% IVT → mobile-app inventory

and automatically recommend/exclude that placement.

If you're asking because you're evaluating a product/vendor opportunity, there is definitely a gap between basic placement reports and a system that continuously says "here is exactly how much money you're wasting, why, and what to exclude." Google provides the raw controls, while vendors such as DV and IAS provide much of the media-quality intelligence. Google Help Google Help

If you tell me whether you're using Google Ads, DV360, The Trade Desk, Meta, or multiple DSPs, I can map out the best existing solutions and where the gaps are.

Yes. There are solutions that go beyond basic placement reporting and flag wasted spend automatically—typically by scoring placements on things like:

• High spend + zero/low conversions
• Poor CTR or engagement relative to campaign benchmarks
• Low viewability
• High bounce/low-quality traffic
• Apps/sites with suspicious traffic or invalid-traffic signals
• Excessive frequency
• Brand-suitability problems
• YouTube channels/videos that consume budget without downstream value

What exists today

Google Ads itself gives you placement-level reporting and lets you exclude individual sites, apps, videos, or channels. Its Content Suitability/placement reports cover Display, YouTube and Google Video Partners. Google Support Google Support

But there's an important limitation: Google's native reporting isn't really a "wasted-spend detector." You generally have to identify poor performers and apply exclusions yourself.

If you're using Display & Video 360, it's more sophisticated. DV360 supports third-party media-quality controls such as DoubleVerify and Scope3 for fraud/invalid traffic, viewability, and brand suitability. Google Support

If you're looking for a specific product

There are essentially three categories:

1. Placement optimization tools — analyze Google Ads placement data and identify domains/apps/videos worth excluding.
2. Ad-verification/media-quality platforms — DoubleVerify, Integral Ad Science, Scope3, etc.; stronger for fraud, viewability and brand suitability.
3. Custom monitoring/automation — pull placement + conversion data from Google Ads, calculate a "waste score," and automatically generate or apply exclusion lists.

If your question is because you're thinking about building/buying a tool specifically that says "you wasted $X on these 37 placements", that's a fairly distinct opportunity. I can map out the existing vendors, what they actually flag, and where the gaps are.

If you're looking for a specific product

There are essentially three categories:

Yes. There are several solutions designed specifically to identify and reduce wasted spend from low-quality placements in display and video campaigns. They generally fall into a few categories:

1. Media quality / ad verification platforms

These tools analyze where ads actually run and flag inventory problems such as:

• Low-quality publishers or apps
• Made-for-advertising (MFA) sites
• Fraudulent traffic or invalid impressions
• Poor viewability
• Unsafe or unsuitable content
• Low-performing placements

Examples:

• Integral Ad Science — offers pre-bid and post-bid controls for display and video to improve media quality, fraud detection, viewability, and brand suitability. Integral Ad Science
• DoubleVerify — provides media quality measurement and protection signals, including fraud-free, viewable, and brand-suitable inventory checks. DoubleVerify
• HUMAN Security — focuses on invalid traffic detection, fraud prevention, and media quality controls. Human Security
• Zefr — provides media quality and suitability controls, particularly for video and social environments. ZEFR

2. Placement-level waste detection tools

These go deeper than standard platform reporting by surfacing:

• Placements consuming budget but producing no qualified outcomes
• High CPA/low conversion inventory
• Suspicious apps, channels, or domains
• Sudden spend spikes from poor inventory sources

For example, some solutions monitor exact inventory sources and allow advertisers to create exclusion lists or shift spend away from weak placements. Antebyte

3. YouTube / video-specific solutions

For video campaigns, low-quality inventory often comes from:

• Irrelevant channels
• Kids or accidental audience exposure
• Clickbait content
• Low-engagement channels
• Content that attracts cheap views but poor business outcomes

Tools such as Filament focus on identifying low-quality YouTube placements and applying exclusion lists to campaigns. Filament

4. Built-in platform controls (lower cost option)

If you are using Google Ads or Display & Video 360, you can also build a process around:

• Placement reports
• Exclusion lists
• App/site category exclusions
• Content suitability settings
• Performance thresholds (e.g., exclude placements after X spend with no conversions)

A typical workflow is:

1. Export placement data weekly.
2. Rank placements by wasted spend signals: - Spend > threshold
3. Zero conversions
4. High CPA
5. Low engagement
6. High bounce/poor lead quality
7. Add exclusions.
8. Monitor whether CPA/ROAS improves.

If you mean an automated product that continuously flags waste and recommends exclusions, then yes — that is exactly the category covered by media quality, ad verification, and placement optimization platforms. Human Security Integral Ad Science

If you tell me whether you’re running Google Display, DV360, YouTube, CTV, Meta Audience Network, or another DSP, and whether your goal is lower CPA, ROAS improvement, fraud reduction, or brand safety, I can narrow down the best-fit options.

Yes. There are solutions specifically designed to identify and reduce wasted spend from low-quality Display & Video placements. The key distinction is whether you want simple placement reporting or automated detection + pre-bid blocking.

Strong options

• Google Display & Video 360 + IAS — DV360 can use IAS data to filter inventory before bidding based on brand safety, viewability, fraud, and other media-quality signals. IAS can also identify unrateable inventory. support.google.comsupport.google.com
• Google DV360 + DoubleVerify — lets you target/filter based on viewability, fraud/invalid traffic, brand suitability, and app quality. DV360 specifically supports DoubleVerify's fraud and invalid-traffic targeting. support.google.comsupport.google.com
• Pixalate — particularly interesting if your waste includes mobile apps, CTV/OTT, and sophisticated invalid traffic. It offers pre-bid blocking plus post-bid analytics across display, video, in-app and OTT. www.pixalate.com
• Google Ads native controls — if you're running directly in Google Ads rather than DV360, you can exclude individual sites, apps, videos, categories, etc., and maintain placement-exclusion lists. Google also supports scheduled uploads of exclusion lists. support.google.com

If your goal is specifically "find the waste for me"

I'd look for a system that scores each placement on something like:

Spend → impressions → viewability → IVT/fraud → CTR → conversions → CPA/ROAS → placement/app/site quality

Then automatically flags things such as:

$18,400 spent on 327 placements with zero conversions and below-20% viewability

or

$7,200 spent on mobile apps with unusually high CTR but negligible downstream engagement — likely low-quality traffic

That's more useful than a traditional brand-safety tool because it identifies performance waste, not just unsafe content.

For a programmatic setup, DV360 + IAS/DoubleVerify is probably the most mature route. If you're dealing heavily with CTV, mobile apps, or fraud, I'd also evaluate Pixalate.

If you tell me whether you're running Google Ads, DV360, The Trade Desk, or another DSP, I can narrow this down to the best 3–5 solutions and explain which ones actually automate the waste detection rather than just provide reports.

Yes. There are several types of solutions that can flag (and sometimes automatically block) wasted spend from low-quality placements in display and video campaigns. The right choice depends on whether you want pre-bid prevention, post-campaign auditing, or automated optimization.

Common solution categories

1. Media quality / brand suitability verification platforms

These analyze placements (sites, apps, channels, videos) for signals like:

• Low viewability
• Invalid traffic / bots
• Made-for-advertising (MFA) sites
• Poor engagement patterns
• Unsafe or unsuitable content
• Suspicious apps or publishers

Examples:

• Integral Ad Science (IAS) — commonly used for fraud, viewability, and brand suitability controls. Google Support
• DoubleVerify — provides media quality, fraud, viewability, and suitability measurement. Google Support
• Human Security — focuses on invalid traffic and media quality verification. Human Security

2. DSP/platform-level controls

If you run through platforms like Google Marketing Platform, you can use built-in controls and integrations.

For example, Display & Video 360 supports:

• App/site/channel exclusions
• Brand suitability controls
• Third-party verification integrations
• Media quality targeting options Google Support Google Support

3. Placement auditing tools

These are useful if you already have spend leakage and want to find where money went.

Typical workflow:

1. Export placement reports from Google Ads, DV360, The Trade Desk, etc.
2. Score placements based on: - Spend
3. CPA/ROAS
4. Conversion quality
5. CTR anomalies
6. Bounce rate or downstream engagement
7. Content/app category
8. Generate exclusion lists.

Some tools specifically analyze display placement lists for risks such as MFA sites and suspicious domains. DisplayGateGuard

4. YouTube/video-specific placement controls

Video often needs extra filtering because low-value inventory can hide inside large channel ecosystems.

Solutions exist that analyze YouTube channels and flag things like:

• Made-for-click content
• Kids content (when unintended)
• Reused/low-effort videos
• Brand-unsuitable channels

For example, Zefr provides video/social media suitability and media quality solutions. ZEFR ZEFR

What I would look for in a practical solution

A good placement-waste detector should produce something like:

The biggest gap with many tools is that they only tell you where ads appeared; the better ones connect that to money wasted and recommended exclusions.

If you tell me your buying setup (Google Ads Display, DV360, YouTube, The Trade Desk, Meta Audience Network, etc.) and whether your goal is lead quality, ROAS, fraud reduction, or brand safety, I can narrow down the best-fit tools.

Yes. There are several solutions designed specifically to identify and reduce wasted spend from low-quality placements in display and video campaigns. They generally fall into three categories:

1. Media quality / verification platforms

These tools analyse placements for signals such as:

• Low engagement or conversion quality
• Invalid traffic (bots, click farms)
• Poor viewability
• Brand safety issues
• Made-for-advertising (MFA) sites
• Irrelevant or unsuitable content

Examples:

• Integral Ad Science (IAS) — provides pre-bid and post-bid media quality controls, including fraud prevention, brand suitability, contextual controls, and viewability measurement. It integrates with platforms such as Display & Video 360. Google Help Integral Ad Science
• DoubleVerify — focuses on media quality, fraud, brand suitability, and authentic viewability measurement. DoubleVerify
• Human Security — offers ad integrity tools to detect invalid traffic and improve media quality. Human Security

2. AI-driven placement optimisation tools

These go beyond blocking unsafe inventory and try to identify placements that are simply poor performers.

Examples:

• Squared.io — analyses placement quality and can automate exclusions of high-risk or low-quality placements. A reported case study with Three/Zenith described identifying and excluding thousands of poor placements across video and display activity. Squared
• Zefr — provides media quality and suitability controls, particularly around video and social environments. ZEFR ZEFR

3. Platform-native controls

If you are running Google campaigns, you can also use:

• Placement reports (where available)
• Site/app/channel exclusions
• Content suitability settings
• Third-party verification integrations (for example, IAS within Display & Video 360) Google Help

A typical workflow is:

1. Export placement-level data (site/app/channel/video).
2. Score placements by: - CPA/ROAS
3. conversion rate
4. bounce/engagement quality
5. viewability
6. invalid traffic risk
7. brand suitability
8. Create exclusion lists.
9. Refresh exclusions continuously because inventory changes.

If your issue is specifically Google Display, YouTube, DV360, or Performance Max, the best solution differs because the available placement data and exclusion controls are different. Squared Google Help

Yes. There are solutions that specifically identify low-quality display/video inventory and quantify the wasted spend, rather than just reporting brand-safety violations.

The main options

• Integral Ad Science (IAS) — flags fraud/invalid traffic, poor viewability, unsuitable content, and other media-quality issues. In DV360, IAS segments can be used pre-bid to avoid buying problematic inventory in the first place. Google Help
• DoubleVerify (DV) — particularly strong for Fraud & Invalid Traffic, viewability, brand suitability, and app/site quality. DV360 supports pre-bid targeting based on historical fraud/IVT rates. Google Help Google for Developers
• Scope3 — focuses heavily on inventory quality, fraud/IVT, suitability, and supply-chain issues across display and video. It also integrates with DV360 for pre-bid filtering. Google Help
• Google Display & Video 360 itself — has placement/content-suitability reporting plus third-party verification integrations. You can see things like invalid traffic, viewability and placement-level performance, then exclude bad inventory. Google Help Google Help

If by "wasted spend" you mean something broader

There's an important distinction:

Media-quality tools can tell you:

"You spent $18,000 on inventory with poor viewability / IVT / unsuitable content."

But the more interesting solution is one that says:

"These 147 placements consumed $18,000, generated almost no qualified conversions, have materially worse engagement than your campaign baseline, and should be excluded."

That requires combining placement-level spend + performance + quality signals. Google exposes placement reporting, while IAS/DV/Scoop3 provide additional quality signals. Google for Developers Google Help

So if you're asking because you're evaluating/building a product in this space, yes, there is a gap between traditional brand-safety verification and an automated "wasted spend detector." The latter could rank placements by avoidable waste and automatically generate/exercise exclusion recommendations.

If you tell me whether you're running Google Ads, DV360, The Trade Desk, or multiple DSPs, I can map out the best existing solutions and where the gaps are.

Yes. There are a few solutions, but they solve slightly different versions of “low-quality placement.”

The main options

• Integral Ad Science (IAS) — probably the closest fit if you want to identify poor-quality inventory based on fraud/IVT, viewability, brand suitability, and contextual quality, and use that information to avoid inventory. Google DV360 supports IAS pre-bid media-quality controls. support.google.com

• DoubleVerify — another major verification platform covering fraud, viewability, brand suitability and media quality. Particularly useful if you're buying across multiple DSPs and want a consistent quality layer.

• Anura — more specifically focused on invalid traffic/ad fraud. It can identify bots, click farms, sophisticated invalid traffic, etc., and is positioned around finding wasted spend rather than simply enforcing brand-safety categories. www.anura.io

• Google Display & Video 360 itself — if you're already using DV360, you can apply media-quality controls and third-party verification without necessarily buying a separate optimization platform. DV360 supports fraud/IVT filtration, viewability targeting, and brand-suitability controls. support.google.com

But there's an important distinction

If by “low-quality placements” you mean:

“Show me the sites/apps/CTV publishers where I'm spending money but getting terrible business outcomes, then automatically flag or suppress them.”

That's a little different from traditional brand-safety verification.

You'd ideally want a system that combines:

Placement → spend → impressions → viewability → IVT → clicks → conversions → CPA/ROAS → quality score

and then says something like:

“$18,400 spent on 1,247 placements; 183 placements account for 31% of spend but 2% of conversions. Recommend excluding.”

That's more of a media-quality/placement optimization layer than conventional brand safety.

Google's native tools can already handle some of the filtering, while automated bidding optimizes toward outcomes such as clicks, conversions, and viewable impressions. support.google.com

If you're asking because you're looking for a product to buy—or potentially thinking about building something in this space—I can map out the existing vendors and identify the gap that isn't being well served.

Yes. There are now several solutions that specifically address wasted spend from low-quality Display/Video placements, rather than just generic campaign optimization.

The closest fits

• Tapper — probably the closest match to what you're describing. Its Placement Exclusions product analyzes placements across YouTube, Performance Max, and Display, identifies low-quality environments, and can automatically exclude them. It looks at things like zero/low conversion contribution, bot-like behavior, MFA/spam inventory, irrelevant content, and questionable engagement patterns. www.tapper.ai
• Optmyzr — its Smart Placement Exclusions identifies poor Display, Video, and PMax placements using patterns from thousands of Google Ads accounts, then recommends/excludes websites, apps, and YouTube channels. help.optmyzr.comwww.tapper.ai
• Adobe Advertising DSP — more of a full DSP solution. It has placement-level optimization and pre-bid filters based on performance signals such as viewability and CTR, so the system can avoid lower-quality auctions before buying them. experienceleague.adobe.com

Google itself does some of this

Google Ads/Display & Video 360 already gives you placement-level reporting and exclusion capabilities. DV360, for example, can segment performance by URL and exclude poor-performing segments. support.google.com Google Ads also lets you exclude individual websites, apps, videos, or categories. support.google.com

The gap is that Google's native tools largely show you the problem; third-party tools can make the detection/exclusion process much more proactive.

There's also an important distinction between "low quality" and "fraud." A placement can have real human traffic but still be terrible economically—e.g. huge impressions, poor viewability, no downstream conversions, or irrelevant audiences. Google's own documentation recognizes invalid traffic such as bots, deceptive clicks, and misrepresented video inventory as a separate issue. www.google.com

If you're evaluating this as a product opportunity

The interesting product isn't simply:

"Find placements with bad CPA."

It's more like:

Placement → quality score → estimated wasted spend → reason → recommended action → automatic exclusion

For example:

That's a real, identifiable category already, with Tapper and Optmyzr being two particularly relevant examples. help.optmyzr.comwww.tapper.ai

If you're asking because you're considering building something in this space, I can also map out the existing competitors, what each one detects, and where there appears to be an underserved wedge.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.

Yes. There are several solutions, but they differ in whether they identify wasted spend, automatically prevent it, or simply provide reporting.

The strongest options

• DoubleVerify — probably the closest fit if your goal is to identify and reduce low-quality inventory. It can evaluate fraud/invalid traffic, viewability, brand suitability, and contextual quality, and DV360 can use those signals for pre-bid targeting. support.google.com
• Integral Ad Science (IAS) — provides pre-bid media-quality data in DV360, including brand-safety classification and inventory quality signals. support.google.comsupport.google.com
• Google Display & Video 360 — has native controls for invalid traffic, brand suitability, viewability, app/URL exclusions, and third-party verification. Google says DV360 filters invalid traffic both pre-bid and post-serve. support.google.comsupport.google.com
• Google Ads placement exclusions — if you're running standard Google Display/Video rather than DV360, you can identify poor-performing placements and exclude sites, apps, videos, or URLs. Google also supports scheduled uploads of exclusion lists, which can be used to automate a recurring blocklist. support.google.com

But there's an important distinction

If by "wasted spend" you mean something like:

"Flag placements that have spent $X but have terrible viewability, engagement, conversion rate, fraud risk, or post-view performance, then tell me exactly how much money I'm wasting."

That's more sophisticated than basic brand-safety tooling.

A useful system would score each placement on something like:

Waste Score = spend × probability of low-quality inventory

using signals such as:

• $ spent / impressions
• viewability
• IVT/fraud rate
• CTR relative to campaign baseline
• conversions / CPA
• post-view conversions
• frequency
• bounce/engagement quality
• app/site/domain quality
• brand-safety/suitability
• anomalous impression or click patterns

Then you'd get something like:

That's the gap I'd look at if you're evaluating a product or building one. Google/IAS/DV can supply many of the underlying quality signals, but a separate optimization layer can turn those signals into a simple "here's where your budget is being wasted and here's what to exclude" workflow. support.google.comsupport.google.com

If you tell me whether you're using Google Ads, DV360, The Trade Desk, Amazon DSP, or another DSP, I can point you to the most relevant solutions and explain what each one actually automates.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.

Yes. There are several types of solutions that can flag wasted spend from low-quality placements in display and video campaigns. They generally fall into three buckets:

1. Placement quality / media intelligence platforms

These analyze placement-level data (sites, apps, channels, domains) and flag inventory that looks inefficient, such as:

• High spend with no conversions
• High clicks but poor downstream engagement
• Low viewability
• Suspicious traffic patterns
• Made-for-advertising (MFA) sites
• Poor app inventory
• Brand suitability issues

Examples include:

• DoubleVerify — media quality, fraud, brand suitability, and viewability measurement.
• Integral Ad Science — invalid traffic, brand safety, and placement quality controls.
• Lunio — identifies invalid traffic and reports waste by placement. www.lunio.ai

2. Programmatic platform controls

If you run through Google Display & Video 360, you can use:

• Placement reports to identify poor-performing URLs/apps
• Brand suitability controls
• Third-party verification integrations
• Invalid traffic filtering

DV360 supports integrations with verification providers such as IAS and DoubleVerify for pre-bid and measurement controls. support.google.com

3. Automated exclusion / optimization tools

Some tools connect to ad platforms and create exclusion lists automatically. They typically:

1. Pull placement-level spend and performance data
2. Score placements by risk or quality
3. Recommend or push exclusions
4. Monitor new placements continuously

Examples include:

• Tapper — focuses on identifying fraudulent and low-quality display traffic and placement waste. tapper.ai

A practical workflow is usually:

Export placement data → score placements → identify waste patterns → add exclusions → monitor weekly

Useful signals to flag:

• Spend > threshold + zero conversions
• CPA > 2–3× campaign average
• Very low engaged sessions
• Extremely high CTR with poor conversion quality
• High bounce rate
• Low viewability
• Suspicious geo/device patterns
• App/site categories that don't align with the audience

If you mean Google Ads Display/YouTube campaigns specifically, DV360, or open-web programmatic, the best solution set differs.

Yes. There are several types of solutions that identify and reduce wasted spend from low-quality placements in display and video campaigns. The right choice depends on whether you mean fraudulent traffic, poor engagement placements, brand suitability issues, or low-converting inventory.

Common approaches:

1. Media quality / verification platforms

These analyze placements (sites, apps, channels, videos) and flag issues such as:

• invalid traffic (bots, click farms, suspicious users)
• low viewability
• unsafe or unsuitable content
• made-for-advertising (MFA) inventory
• poor-quality apps or domains

Examples include:

• Integral Ad Science (IAS)
• DoubleVerify
• Human Security

These can often work through pre-bid blocking and post-campaign analysis. For example, Google Display & Video 360 supports third-party verification integrations such as IAS and DoubleVerify for media quality controls. support.google.com

2. Placement-level waste detection tools

These focus more directly on answering: “Where did my money go, and which placements should I exclude?”

They typically:

• ingest placement reports
• score domains/apps/channels
• identify spend with no meaningful outcomes
• recommend exclusion lists

Examples include solutions such as Lunio and Tapper, which market placement-level invalid traffic detection and exclusion workflows for display campaigns. www.lunio.ai

3. Native platform controls

If you run through Google:

• Use placement reports to find domains/apps/channels consuming spend.
• Add exclusions for poor performers.
• Use brand suitability controls.
• Add third-party verification where available.

Google’s DV360 controls include brand suitability settings and third-party verification options for inventory filtering. support.google.com Google also applies invalid traffic filtering systems to remove suspicious impressions and clicks. support.google.com

What a good solution should flag

Look for reporting like:

If you’re asking from an advertiser/agency operations perspective, the closest fit is usually a placement intelligence + exclusion automation tool. If you’re asking from a programmatic buying/DV360 perspective, a media quality verification provider is usually the standard route.

Yes. There are several categories of solutions that specifically identify and help eliminate wasted spend from low-quality display and video placements. The right choice depends on whether you want reporting only, automated exclusions, or fraud prevention.

1. Native Google tools (best starting point)

If you're running Google Display Network, YouTube, or DV360 campaigns, Google already provides:

• Placement reports (websites, apps, YouTube channels/videos)
• Invalid traffic (IVT) reporting
• Content exclusions
• Placement exclusion lists
• Brand safety controls

Google also filters a significant amount of invalid traffic before bidding or refunds post-serve invalid impressions and clicks.support.google.com

Limitation: Google's systems focus on invalid traffic—not necessarily low-value placements such as:

• Made-for-Advertising (MFA) sites
• Accident-prone mobile apps
• Low-engagement inventory
• Placements that generate clicks but no business outcomes

2. Third-party placement quality platforms

These solutions go beyond fraud detection by scoring placement quality and automating exclusions.

Some well-known vendors include:

• Lunio
  • Detects invalid traffic
  • Reports spend by placement
  • Highlights publishers wasting budget
  • Integrates with Google Display campaignswww.lunio.ai

• Tapper
  • Scores placements
  • Detects MFA sites
  • Automatically updates exclusion lists
  • Supports Display, YouTube, PMax and DV360www.tapper.ai

• ClickFortify
  • Focuses on click fraud and low-quality traffic
  • Includes protection for Display and Performance Max campaignswww.clickfortify.com

Other enterprise platforms include HUMAN, DoubleVerify, IAS (Integral Ad Science), and Pixalate, particularly for brand safety and programmatic quality.

3. Custom analytics (often the most insightful)

Many sophisticated advertisers build a placement scoring model using data from:

• GA4 engagement metrics
• CRM conversions
• Revenue
• Bounce rate
• Session duration
• Conversion rate
• CPA
• Viewability
• Device
• App vs. web inventory

The model flags placements such as:

This approach often finds waste that fraud tools don't detect because the traffic is technically "valid" but commercially unproductive.

4. AI-driven optimization

Some newer tools use machine learning to identify patterns like:

• MFA websites
• Hidden placements
• Domain spoofing
• Low-intent audiences
• Bot-like browsing behavior
• Poor post-click engagement

They can automatically:

• create exclusion lists,
• push updates into Google Ads,
• and continuously monitor new placements.www.tapper.ai

What many advertisers actually do

A common workflow is:

1. Export placement reports daily or weekly.
2. Join them with GA4 or CRM conversion data.
3. Score placements using metrics like:
   • Cost per engaged session
   • Cost per qualified lead
   • ROAS
   • Conversion rate
4. Automatically exclude placements that consistently underperform.
5. Supplement this with a fraud detection platform for bot traffic.

This combination addresses both invalid traffic and low-quality but technically valid inventory, which is where a significant amount of display and video waste can occur.

If your goal is to build or evaluate such a solution, the strongest differentiator isn't just detecting fraud—it's identifying placements that consume budget while delivering little or no business value, even when the traffic passes standard fraud filters.