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GambleAware Publishes New Reports and Guide for Financial Services Industry to Help Prevent Gambling Harm
GambleAware has published a new report by the Behavioural Insights Team which analyses behavioural datasets to understand whether these could be used to build a clearer picture of the ways in which people gamble, identify possible harms, and eventually inform prevention, treatment, and support responses.
The commissioned research analysed bank transactional data from Monzo and HSBC, aiming to shed new light on what these datasets can, and cannot, tell us about gambling behaviour. The reports demonstrated that bank customer and transactional data can offer valuable insights into the success of gambling blocking tools and also provide unique profiles of gamblers. For example, of those using Monzo’s gambling blocker, it was found that the week before gamblers activated the block, their average daily gambling spend tripled. Specific profiles of gamblers were also revealed by the research, such as that gamblers had less money on average in their Monzo internal saving pots than non-gamblers, or that gamblers ranked “Very Concerning” by HSBC had on average 35.6 gambling transactions per month, compared to 15.6 in those ranked “Concerning”, and just 1.2 in the “Control” group.
Taken individually, however, these datasets are not enough to understand whether a customer is at risk of experiencing gambling harms. A dataset from a single bank is unlikely to offer a full picture of an individual’s spending, and so these exploratory research projects illustrated that further research is needed to create a fuller picture of an individual’s overall financial wellbeing.
“Our research with HSBC and Monzo has demonstrated that bank transactional data can be a useful tool in identifying gambling behaviours and the unique profiles of gamblers, but further work is needed to understand how such data can be used robustly. Different banks may use different factors, and different thresholds to identify gambling, and future work could look at developing a more standard operating model of how this kind of data should be used to identify those at risk of harm,” Dr Simon McNair, Advisor at BIT, said
“Our research with GambleAware helps us to understand gambling-related behaviours so that we can provide the best support to our customers. This includes opt-in solutions such as a gambling restriction feature to help people control their urge to gamble and automatic declines or referrals for lending to help prevent the customer getting into debt. Customers can also appoint third parties to help manage their finances either through a third-party mandate or our Independence Service. In addition, our specialist support team are on hand to aid customers at risk of financial harm and can refer to trusted external organisations where needed. We continue to work with charities such as Gamble Aware on other ways in which we can ensure these customers have access to the right support,” Maxine Pritchard, Head of Financial Inclusion and Vulnerability at HSBC, said.
“Our work with the Behavioural Insights Team has provided us with important insights into gambling behaviour and the impacts of gambling. At Monzo, this is an area we care deeply about and we’ve had amazing success so far with our gambling block, which has been used by more than 350,000 customers since its launch in 2017. We’re excited to use these insights to inform future work in this area, further reduce gambling harm and provide our customers with even more control over their financial lives,” Natalie Ledward, Head of Vulnerable Customers at Monzo, said.
GambleAware has commissioned the Personal Finance Research Centre at the University of Bristol to produce a practical guide for financial services seeking to protect customers from gambling-related financial harms. The guide offers real-life examples of what firms can do to identify and support customers who are at risk of gambling-related financial harm. It highlights the value of financial firms proactively analysing customer transaction data for spending patterns and behavioural signs that might indicate gambling-related vulnerability and enable firms to take action to prevent harm occurring.
“At a conservative estimate, at least five million people in Britain experience harmful gambling, either because of their own gambling or someone else’s. Regulated financial services firms are well-placed to address the financial harms linked to gambling-related vulnerability and our practical guide shows them how. Doing this may have knock-on benefits for other dimensions of gambling harm, such as people’s mental health,” Professor Sharon Collard, Research Director at the University of Bristol’s Personal Finance Research Centre, said.
“This research from the Behavioural Insights Team is a good first step to explore how bank transactional data may be able to identify behaviours indicative of gambling harm. Whilst more research is needed into this area, we encourage all financial institutions, including those from non-bank settings, to make the most of the new guide to see what they can do to protect their customers from gambling harm. By working with financial services and promoting the advice and support available, we can work collaboratively to respond to customer need to keep people safe from gambling harm,” Zoë Osmond, CEO at GambleAware, said.
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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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