ChatGPT answers, unedited

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.