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Malta’s FIAU Publishes “Intelligence Factsheet” of STRs

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The Financial Intelligence Analysis Unit (FIAU) of Malta has published its “intelligence factsheet” which provides an overview of “suspicious transaction reports” (STRs) submitted by Malta Gaming Authority (MGA) licensees in 2019.

FIAU reported a total of 1445 STRs from 210 MGA licenced operators during 2019, continuing its 100% rise in suspicious transactions registered by its “CASPAR monitoring system” year-on-year trend.

A breakdown of results saw 32% (457 cases) of the total STRs submitted by three companies and a further 35% (498 cases) registered by another five licenced operators, with 72 organisations submitting the remaining 33% (approximately 486) of the STRs.

FIAU reported 741 STR cases related to online gambling for 2020, under which the enforcement unit continues to broaden its CASPAR system’s monitoring capability.

In its factsheet statement the FIAU detailed: “In most of the cases, the FIAU considers it more appropriate to send a spontaneous intelligence report to foreign FIUs rather than to trigger an investigation in Malta on the basis of STRs received from the remote gaming entities.

“Although the FIAU does not open its own in-depth analysis in these cases, the majority result in further dissemination to its foreign counterparts. As a result, information received through these submissions accounted for 35 percent of the total spontaneous intelligence reports shared with foreign FIUs in 2019.”

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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.

Continue Reading

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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