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BETBY’s AI LABS LAUNCHES BETTING TIPS TOOL AIMED AT TRANSFORMING PLAYER BETTING UX

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Betby, a leading innovator in the sports betting industry, is thrilled to announce the launch of its new Betting Tips API, a cutting-edge tool designed to provide players with insightful and engaging betting advice. This latest addition to the award-winning AI Labs suite aims to enhance player experience, drive higher conversion rates, and increase betting frequency by offering a sense of informed betting.

The Betting Tip is an additional tool in the existing range of tools which include Churn and LTV prediction, Risk Management Automation, and Prompt-based BI Reporting. The Betting Tips API, initially available in English, Portuguese, Spanish, and Turkish, provides players with detailed information and suggestions for betting markets in popular sports such as football, basketball, baseball, hockey, cricket, and tennis. Future plans include expanding the number of markets and sports covered, as well as adding support for additional languages.

The Betting Tips API offers players tailored hints on what to bet on, creating a more informed and confident betting environment based on insights from the latest news, interesting team facts, and other relevant information.

Betby has streamlined the integration process, ensuring that the betting tips can be easily incorporated into clients’ existing backends without the need for extensive data mapping. The API allows for broad customization, adapting not only the data structure but also the format of the tips’ texts to suit client preferences. Betby can also add support for a new language or sport within a very short timeframe, ensuring comprehensive coverage and client satisfaction.

Danil Emelyanov, Head of Betby AI Labs said: “The Betting Tips tool is a component of the larger GenAI Sport Content project. Betby AI Labs is developing live betting tips and integrating them into this project, which also encompasses audio podcasts and various marketing content, such as SEO articles and SMM posts. So new updates are already on the way.”

The post BETBY’s AI LABS LAUNCHES BETTING TIPS TOOL AIMED AT TRANSFORMING PLAYER BETTING UX appeared first on European Gaming Industry News.

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.

Continue Reading

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