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SOFTSWISS Highlights iGaming Areas in Which AI Outperforms Humans

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SOFTSWISS, a cutting-edge iGaming software provider, shares its experience in implementing artificial intelligence (AI) tools into its everyday practice. AI has proven to be a valuable asset, revolutionising real-time data analysis, player management, content personalisation, and design.

Real-Time Data Analysis

The  Anti-Fraud team within SOFTSWISS’ Managed Services played a pivotal role in saving operators €16m+ in 2022 by processing 61,810 requests. It is hardly possible to analyse such data volumes by hand. That is where AI stepped in.

The SOFTSWISS Research and Development (R&D) department developed the Anti-Fraud Service, a real-time data analysis tool leveraging machine learning models to detect suspicious cases and bring them to the attention of the Anti-Fraud team experts. Additionally, its recent updates have introduced an enhanced ability to assess the quality of affiliate traffic to ensure a secure and trustworthy iGaming environment. 

Another valuable tool created by the SOFTSWISS R&D department is Business Metrics Monitoring and Management (BM3), a machine learning-driven system that analyses key business indicators and identifies deviations on a near-real-time basis. BM3 helps identify potential issues more efficiently than traditional rule-based solutions, enabling prompt detection and troubleshooting to prevent negative impacts on client business and avoid financial losses.

Vitali Matsukevich, COO at SOFTSWISS, comments: “AI is an effective tool for analysing large data sets in real-time, but the final decision should still be left to an expert. With all speed and efficiency, you can’t put all the responsibility for business decisions on the artificial intelligence.”

 

Player Management & Content Personalisation

Another area where AI has demonstrated its efficiency is player management. SOFTSWISS’ R&D department developed a service called DOSSIER, which analyses player behaviour to enhance gaming experience. DOSSIER predicts future actions, enabling operators to make timely and tailored offers.

For example, the system identifies players with high potential lifetime value (LTV) and allows operators to offer them special bonuses or assign individual managers. Such segmentation can be used across various scenarios. 

Likewise, AI is used in the SOFTSWISS Sportsbook to personalise content for players. AI-based tools enable the display of events according to player preferences. The system collects real-time data on player activity and then delivers the most relevant content, including suggested events particularly appealing to specific players or similar player groups. 

Vitali Matsukevich adds: “When it comes to players, this approach helps reduce the time between bets and increase their amounts and player LTV.  When players easily find exciting events tailored to their preferences, their gaming experience becomes more enjoyable, positively impacting overall business performance.”

iGaming Brand Design

Design is one of the trendiest areas where AI is making significant strides, and the iGaming industry is no exception. At SOFTSWISS’ WebStudio, the implementation of generative artificial intelligence has become a game-changer. The WebStudio primary goal is to deliver projects that not only meet but exceed client expectations, offering exceptional service at every step of the way.

AI acts as a valuable ally in this endeavour, particularly during the initial layout creation phase. Through carefully crafted queries, AI generates a diverse range of images aligned with specified parameters, offering various compositions, details, and content, while preserving the essence of the original concept, in just minutes. Such images then serve as a basis for further refinement by illustrators and animators, resulting in multiple templates shared with clients for additional development and finalisation.

Vitali Matsukevich summarises AI usage for the industry: “Being innovators in the field, we continuously explore and test emerging tools, adapting worldwide trends to enhance the iGaming experience. The enormous potential of AI lies in its ability to optimise repetitive tasks and handle big data, improving overall efficiency. Nevertheless, we exercise prudence when integrating AI into decision-making processes, recognising that unforeseen outcomes could result in financial losses. Striking the right balance between leveraging AI’s capabilities and maintaining human oversight is crucial to ensuring sustained growth and success.”

 

About SOFTSWISS 

SOFTSWISS is an international iGaming company supplying certified software solutions for managing gambling operations. The expert team, which counts 1,400 employees, is based in Malta, Poland, Georgia, and Belarus.  SOFTSWISS holds a number of gaming licences and provides one-stop-shop iGaming software solutions. The company has a vast product portfolio, including the Online Casino Platform, the Game Aggregator with thousands of casino games, the Affilka affiliate platform, the Sportsbook Platform and the Jackpot Aggregator. In 2013, SOFTSWISS was the first in the world to introduce a Bitcoin-optimised online casino solution.

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.

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.

Continue Reading

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