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AgeChecked and Rdentify partner to help identify vulnerable players
AgeChecked have strengthened their commitment to Responsible Gambling by forming a comprehensive partnership with Rdentify, the specialists in identifying vulnerable customers through machine learning.
Rdentify use AI and cutting-edge technology to monitor live chats, giving each customer a score based on their risk of gambling-related harm. Through natural language processing (NLP), they can monitor every line from a company’s live chat and use machine learning models to highlight early signs of self-exclusion and problem gambling.
Their risk-based scoring system works in real time and easily integrates with your company’s CRM using a simple traffic light system to denote the level of risk. Instances of concern will be highlighted to customer support staff, who can then deal with the situation in an effective manner in line with the operator’s safer gambling policies. This can be done either through the CRM or Rdentify’s own API.
AgeChecked are the market leaders in age verification software and offer monitoring solutions for the iGaming industry across every stage of the customer journey. Their partnership with Rdentify will particularly help operators fulfill their licensing conditions in ensuring the ongoing monitoring of all players with continued KYC and due diligence, as well as in the prevention of gambling-related harm.
The signs of problem gambling are often subtle and spread across multiple areas of the business. Players also often chat to different support agents over time, meaning vulnerable players and their common cues are often missed. The sheer number of live chats on a day-to-day basis also make it difficult for humans to monitor. The Rdentify solution can integrate and analyse all of this data, both historical and current. By integrating AI into your pre-existing systems, the chance of spotting the signs of problem gambling earlier are therefore significantly increased.
An operator’s risk data can also be visualised so in-depth trend analysis can be studied, while Rdentify never process or store any personal data. All such data is anonymised and only the player ID will be transferred through the engine. The system has been developed by consulting some of the iGaming industry’s best data science, compliance and operations experts, meaning it is tailor-made for gambling operators.
Like AgeChecked’s systems, Rdentify’s is regularly updated to accommodate new problem identification factors and legislation changes, meaning the solution is flexible as well as scalable.
With the issue of responsible gambling becoming increasingly important, particularly in the British media ahead of the review of the 2005 Gambling Act, the scrutiny on the gambling industry and their responsibilities has never been higher. There are approximately 430,000 problem gamblers in the UK and two million identified as being at risk, with the industry suffering huge reputational damage in recent years due to these figures.
Rdentify allows you to identify these problem gamblers with increased accuracy and prevent them from gambling on your site, thus increasing compliance with Safer Gambling legislation and reducing fines and reputational damage. Rdentify and AgeChecked also enable operators to mitigate legal threats to operators while putting player protection front and centre of your operation.
Speaking about this importance, Daniel Brookes, the CEO of Rdentify, said: “Online gambling operators rely solely on customer support agents to recognise the signs of problem gambling during their live chat interactions. Globally, the iGaming industry is highly regulated and fast-growing, with a strong focus on player protection. Since 2017 in the UK, remote operators have been fined more than £63.5m by the UK Gambling Commission for social responsibility failings.
“Rdentify provides a scalable natural language processing (NLP) and machine learning-based engine which flags end-user vulnerability risk during live chat interactions. Rdentify seamlessly integrates with the operators’ existing operational systems and outputs clear, actionable scores and risk categorisation in real-time. This solution de-risks the operator, protects end-users and allows for a superior customer experience.”
On announcing the partnership with AgeChecked, Brookes said: “I am delighted to be announcing our partnership with AgeChecked. Not only does it give us a fantastic opportunity to work with a forward-thinking, well-known tech company, but their customer-centered approach matches with our own.
“Their focus on customer protection, which is delivered in an easy to digest and business-friendly manner, goes hand-in-hand with our own ethos, which we believe will help to deliver a strong and successful partnership for many years to come.”
Alastair Graham, the Founder and CEO of AgeChecked, said: “The issue of Responsible Gambling has never been more important, so we are delighted to partner with Rdentify in offering a holistic solution for operators.
“Combining AgeChecked’s cutting-edge age verification software with Rdentify’s live chat monitoring, our solution can ensure full compliance across every stage of the customer journey. We are committed to reducing gambling-related harm and helping operators obtain and maintain their regulatory compliance. We see innovative technological solutions such as those employed by Rdentify as being key in the fight against problem gambling.”
To find out more about the AgeChecked Player Vulnerability Monitoring solution please go to https://www.agechecked.com/player-vulnerability-monitoring/
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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.
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.
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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