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Understanding the Impact of Invalid Traffic: How Online Betting Companies Can Protect Their Ads and Drive ROI

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We are honored to publish this byline by Richard Metcalf, Director of Business Development EMEA, TrafficGuard. Make sure to let us know your comments below the article.

The global pandemic has undoubtedly caused a massive increase in the number of active users that gamble regularly. A global statistic from Casino.org suggests that almost 26% of the world’s population gamble, and the global gambling market is expected to grow from $76.79 billion to an impressive $127.45 billion by 2025, according to Research and Markets.

Betting companies are having to distinguish themselves in such a highly competitive and evolving market by investing in digital campaigns and using premium ad networks. However, many of these channels may not be properly equipped to deal with invalid traffic and ad fraud, and as a result, could be losing large amounts of money every day to fraudsters.

The level of financial and competitor growth within the industry has created a strong attraction from fraudsters, and gambling companies can fall prey with little to no knowledge this is even occurring. And, with the betting industry only saturating further, companies cannot afford to suffer from low ROI and poor campaign performance.

 

Understanding the Risk of Ad Fraud

The risks associated with virtual gambling are unfortunately heightened with such lucrative rewards on offer and many betting companies deploy protection to help minimise the risk of fraudulent transactions or unethical behaviour. However, there is a real lack of awareness around ad fraud within gambling, and many companies don’t realise the level of impact it’s having on them.

Ad fraud is any traffic that is maliciously created and used to target companies’ advertising budgets, and is a subset of invalid traffic, meaning any advertising engagement that is outside of the target of an advertising campaign.

Here are just some of the ways ad fraud is threatening your ad campaign:

  • Bots – Bots are programmed to emulate human behaviour and vary in levels of sophistication and can do anything from clicking and viewing ads to watching videos. Promo abuse bots that click on paid search ads and then run scripts to claim free bets or free spins are highly prevalent in online gaming. As these bots ‘convert’, delivering misleading marketing metrics, it means you are likely optimising campaigns using the wrong data and towards winning more bot traffic.
  • Browser-Related Fraud – For example, location fraud, which involves manipulating users’ location information to match the advertiser’s targeting criterion, and domain spoofing, when bad actors monetise the traffic from low-quality sites by manipulating the domains and making it appear to come from high-quality sources.
  • Misattribution Fraud – A large volume of clicks on both affiliate and mobile campaigns are faked from a mobile device, even though the user never clicked the ad. If a user with a similar fingerprint then visits the target website and installs the app, the spammer receives credit for the conversion/install and is paid commission.

In reality, the result of ad fraud is inaccurate advertising results and wasted budget. One globally-renowned online betting company that was running a Google Ads campaign found that 23% of its clicks were invalidated, which equated to 28% of its advertising spend.

Without any prior visibility or protection, 71% of the gambling company’s wasted spend was attributed to just one of its campaigns. If the company had the visibility and awareness it truly needed to be able to address the problem, there was an opportunity to save $115,000, a mixture of media spend and potential losses in bonus deposits.

All gambling companies that run Google Ads campaigns are equally as vulnerable as this online betting company, which makes it crucial for marketers operating within this industry to proactively put themselves ahead of fraudsters with increased visibility, accurate analytics, and real-time protection.

 

Protecting and Saving Your Budget

With confidence in your data and analytics, the saving potential for gambling companies is around 10%, 7% higher than that of other verticals. The solution to invalid traffic starts with knowing exactly how it is impacting your business, and how you can combat it. With trustworthy data that analyses every bit of traffic quality, you can easily make a business case to combat bots, browser fraud and misattribution.

With visibility into the scale of the problem, betting companies can then properly evaluate the right solutions and the partner needed to help solve it. Once you’ve identified a partner with the right skills, technology and expertise for you, they can make an immediate impact.

 

Elimination with Prevention

Ad fraud currently dominates many betting companies globally, but a change of hands is within reach. Luckily, stopping invalid traffic doesn’t have to be complex or costly. In fact, the money you save will almost always outweigh your investment into stopping it, ensuring you can focus solely on making new savings.

By combining proactivity with visibility, betting companies can make enormous savings and address invalid traffic with confidence and ease. With many betting companies globally only looking to scale their digital marketing further, now is the time to understand your advertising losses and prevent them to achieve maximum growth and success.

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iGaming

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

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scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

The post Scaling In-App Traffic in iGaming: A Performance-Driven Approach appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

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iGaming

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

The post Scaling In-App Traffic in iGaming: A Performance-Driven Approach appeared first on Americas iGaming & Sports Betting News.

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Latest News

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

Traffy, a performance marketing agency specializing in in-app traffic, has seen a clear shift in how iGaming campaigns scale today.

The era of “launch and forget” in iGaming is over. The market has become more competitive, and users are more demanding than ever. Scaling campaigns is no longer just about volume — success now depends on the depth of analytics, the speed of response to user behavior, and traffic quality.

Market Transformation

In the past, scaling followed a simple logic: more traffic meant more conversions. Today, that approach no longer works. Users have become more selective, and both CPA and ROI are directly tied to post-deposit behavior.

If advertisers fail to track key performance indicators within the first 72 hours — including user activity, repeat deposits, and conversion to FTD — budgets are spent without control, and scaling turns into guesswork.

New Requirements for Scaling

Scaling campaigns today requires a much more structured approach:

  • Funnel analysis within the first 72 hours to quickly identify effective setups
  • Traffic segmentation and strict quality control
  • Continuous monitoring of user activity, repeat deposits, and FTD conversion rates

If there is no positive performance trend within the first three days, the setup is stopped immediately. This allows teams to minimize losses and reallocate budgets toward high-performing campaigns.

Common Pitfalls of Legacy Approaches

Many operators and affiliates still rely on outdated strategies that limit their ability to scale effectively:

  • Focusing solely on CPA without considering unit economics and profitability
  • Scaling broadly without proper traffic segmentation
  • Lack of predictive analytics in the early stages of campaigns
  • Underestimating traffic quality and fraud risks

These issues lead to unstable performance, rising CPI, and a loss of control over ROI.

The Traffy Approach

At Traffy, we build scalable infrastructure designed to manage in-app traffic with a performance-first mindset.

  • Traffic quality control: black and white lists, ongoing audits, and integrated fraud analytics
  • AI-driven optimization: algorithms that predict campaign performance and dynamically reallocate budgets toward the most efficient setups
  • Performance focus: real-time analysis of the first 72 hours, deep segmentation, and continuous monitoring of key metrics and ROI

This approach allows us to scale only the traffic that is proven to be profitable, reducing risks and improving predictability at scale.

Conclusion

A performance-driven approach has become essential for scaling In-App campaigns in iGaming. The key to success lies in deep analytics, traffic segmentation, predictive modeling, and strict control within the first 72 hours.

The market has changed — and those who succeed are not the ones who scale volume, but those who scale quality traffic.

At Traffy, this approach is at the core of how we build and scale campaigns, ensuring sustainable growth and measurable performance for our partners.

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