Latest News
GambleAware: New gambling prevalence methodology review published
GambleAware has today published commissioned research, authored by Professor Patrick Sturgis and Professor Jouni Kuha of the London School of Economics, which investigates how methodological differences between surveys affect the accuracy of estimates of gambling harms. The research was commissioned following a 2019 YouGov study which found substantially higher rates of gambling harms across Great Britain than had previously been reported by the 2016 and 2018 Health Surveys for England.
The research was commissioned to identify the best way to determine gambling participation and prevalence of gambling harms in Great Britain and to develop a better understanding of how methodological factors might account for the differences between the results of the YouGov study and the Health Survey for England’s results. The surveys reviewed in the report produced widely varying estimates of ‘problem gambling’[1] in Great Britain, indicated by a PGSI score[2] of 8+, ranging from 0.7% to 2.4% of adults.
The research reviewed eight different surveys into gambling participation and prevalence of gambling harms to identify differences in results and what causes them. The key finding is that surveys using predominantly, or exclusively online self-completion responses produce consistently higher estimates of gambling harm compared to surveys which use paper self-completion techniques as part of a face-to-face interview.
The primary cause of this discrepancy was found to be selection bias in online surveys. Selection bias in this instance refers to the fact that online surveys skew towards people who are comfortable using online technologies and who use the internet regularly. These people are also more likely to be online and frequent gamblers, meaning online surveys tend to over-estimate gambling harm.
Given these findings, the researchers shared the following recommendations for future prevalence surveys:
- Given the high and rising cost of in person surveys, measurement of gambling prevalence and harm should move to online surveying.
- The move to online interviewing should be combined with a programme of methodological testing and development to mitigate selection bias.
- In person surveying should not be ceased completely; probability sampling and face-to-face interviewing should be used to provide periodic benchmarks.
GambleAware commissioned this study to better understand the true demand for treatment and support for gambling harms across Great Britain and will use the findings of this study to inform and direct the future Annual Great Britain Treatment and Support surveys. Data from the surveys will continue to be used to update GambleAware’s interactive maps, which show in visual format the prevalence of gambling participation and harms at local authority and ward level across Great Britain.
Professor Patrick Sturgis, Department of Methodology at the London School of Economics, said: “Our research has found that online surveys tend to systematically overestimate the prevalence of gambling harm compared to face-to-face interview surveys. However, given the very high and rising cost of in person surveying, and the limits this places on sample size and the frequency of surveys, we recommend a shift to predominantly online data collection in future, supplemented by periodic in person benchmarks.”
Alison Clare, Research, Information and Knowledge Director at GambleAware, said: “We want our prevention, treatment, and support commissioning to be informed by the best available evidence, and having survey data we can be confident in, within the constraints of data collection in an increasingly online world, is key. GambleAware’s annual GB Treatment & Support survey is an important tool in building a picture of the stated demand for gambling harms support and treatment, and of the services, capacity and capability needed across Great Britain to meet that demand.
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Africa Bet Partners
How Traffy Cut FTD Cost in Half and Scaled Betting in Tanzania for Africa Bet Partners via Moloco Ads
This case highlights the impact of systematic optimization in Moloco Ads for the Betting vertical. Despite market turbulence in East Africa, Traffy not only maintained Africa Bet’s KPIs but also significantly improved ROI through deep, data-driven optimization.
Project Overview
Africa Bet Partners Offer: Betting
Traffic Partner: Traffy
Source: Moloco Ads (Google Play Inventory)
Geo: Tanzania (TZ)
Period: 2 months
Total Spend: ~$42,000
Final CR (Reg-to-FTD): 60%
Final CR (FTD 1-to-FTD 2): 45%
Challenge and Initial Metrics
At the launch of the campaign, the situation was challenging. The complex economic and political environment in Tanzania had a direct impact on consumer purchasing power and the stability of payment systems.
Initial Cost per FTD: $15.00
Goal: Reduce the cost of the target action to below $8 and identify scaling potential.
Optimization Strategy: What Was Done
The success of this case is the result of Traffy’s consistent work across four key areas:
1. Traffic Quality Management (Exchanges & Publishers)
Traffy conducted a comprehensive audit of publishers (placements) through which Moloco acquired inventory.
- Blacklists were created based on low deposit conversion.
- Collaboration was optimized with specific ad exchanges that demonstrated stronger Retention.
2. Creative Strategy
Traffy moved away from standard approaches and implemented a system of regular testing of new creative packs. Creative optimization significantly increased CTR and IPM, providing the Moloco algorithm with more data for learning.
3. Traffic Cleanup to Avoid Paying for Bots
- Placements with suspicious install times (CTIT) were filtered out to protect against click flooding.
- Device “farms” were identified and banned through Device ID analysis.
- Using BI tools, installs were cross-checked with real user activity. Placements with no engagement were added to the Blacklist.
4. Funnel Optimization
Through targeting optimization at the campaign level, Traffy attracted more relevant users. This led to an increase in the CR from registration to FTD up to 60%, which is an abnormally high indicator for this region.
Key Insight
Deep publisher analytics in Moloco Ads combined with category segmentation allows reducing deposit cost by more than 2x while maintaining high player quality (Retention and repeat deposits).
Result
Traffy not only met Africa Bet’s KPIs but also built a stable model for further scaling. Even in “difficult” geos, a systematic optimization approach makes it possible to achieve outstanding results. At the moment, the campaign continues to run, and user Retention (FTD 2) shows organic growth.
The post How Traffy Cut FTD Cost in Half and Scaled Betting in Tanzania for Africa Bet Partners via Moloco Ads appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Africa Bet Partners
How Traffy Cut FTD Cost in Half and Scaled Betting in Tanzania for Africa Bet Partners via Moloco Ads
This case highlights the impact of systematic optimization in Moloco Ads for the Betting vertical. Despite market turbulence in East Africa, Traffy not only maintained Africa Bet’s KPIs but also significantly improved ROI through deep, data-driven optimization.
Project Overview
Africa Bet Partners Offer: Betting
Traffic Partner: Traffy
Source: Moloco Ads (Google Play Inventory)
Geo: Tanzania (TZ)
Period: 2 months
Total Spend: ~$42,000
Final CR (Reg-to-FTD): 60%
Final CR (FTD 1-to-FTD 2): 45%
Challenge and Initial Metrics
At the launch of the campaign, the situation was challenging. The complex economic and political environment in Tanzania had a direct impact on consumer purchasing power and the stability of payment systems.
Initial Cost per FTD: $15.00
Goal: Reduce the cost of the target action to below $8 and identify scaling potential.
Optimization Strategy: What Was Done
The success of this case is the result of Traffy’s consistent work across four key areas:
1. Traffic Quality Management (Exchanges & Publishers)
Traffy conducted a comprehensive audit of publishers (placements) through which Moloco acquired inventory.
- Blacklists were created based on low deposit conversion.
- Collaboration was optimized with specific ad exchanges that demonstrated stronger Retention.
2. Creative Strategy
Traffy moved away from standard approaches and implemented a system of regular testing of new creative packs. Creative optimization significantly increased CTR and IPM, providing the Moloco algorithm with more data for learning.
3. Traffic Cleanup to Avoid Paying for Bots
- Placements with suspicious install times (CTIT) were filtered out to protect against click flooding.
- Device “farms” were identified and banned through Device ID analysis.
- Using BI tools, installs were cross-checked with real user activity. Placements with no engagement were added to the Blacklist.
4. Funnel Optimization
Through targeting optimization at the campaign level, Traffy attracted more relevant users. This led to an increase in the CR from registration to FTD up to 60%, which is an abnormally high indicator for this region.
Key Insight
Deep publisher analytics in Moloco Ads combined with category segmentation allows reducing deposit cost by more than 2x while maintaining high player quality (Retention and repeat deposits).
Result
Traffy not only met Africa Bet’s KPIs but also built a stable model for further scaling. Even in “difficult” geos, a systematic optimization approach makes it possible to achieve outstanding results. At the moment, the campaign continues to run, and user Retention (FTD 2) shows organic growth.
The post How Traffy Cut FTD Cost in Half and Scaled Betting in Tanzania for Africa Bet Partners via Moloco Ads appeared first on Americas iGaming & Sports Betting News.
Latest News
How Traffy Cut FTD Cost in Half and Scaled Betting in Tanzania for Africa Bet Partners via Moloco Ads
This case highlights the impact of systematic optimization in Moloco Ads for the Betting vertical. Despite market turbulence in East Africa, Traffy not only maintained Africa Bet’s KPIs but also significantly improved ROI through deep, data-driven optimization.
Project Overview
Africa Bet Partners Offer: Betting
Traffic Partner: Traffy
Source: Moloco Ads (Google Play Inventory)
Geo: Tanzania (TZ)
Period: 2 months
Total Spend: ~$42,000
Final CR (Reg-to-FTD): 60%
Final CR (FTD 1-to-FTD 2): 45%
Challenge and Initial Metrics
At the launch of the campaign, the situation was challenging. The complex economic and political environment in Tanzania had a direct impact on consumer purchasing power and the stability of payment systems.
Initial Cost per FTD: $15.00
Goal: Reduce the cost of the target action to below $8 and identify scaling potential.
Optimization Strategy: What Was Done
The success of this case is the result of Traffy’s consistent work across four key areas:
1. Traffic Quality Management (Exchanges & Publishers)
Traffy conducted a comprehensive audit of publishers (placements) through which Moloco acquired inventory.
- Blacklists were created based on low deposit conversion.
- Collaboration was optimized with specific ad exchanges that demonstrated stronger Retention.
2. Creative Strategy
Traffy moved away from standard approaches and implemented a system of regular testing of new creative packs. Creative optimization significantly increased CTR and IPM, providing the Moloco algorithm with more data for learning.
3. Traffic Cleanup to Avoid Paying for Bots
- Placements with suspicious install times (CTIT) were filtered out to protect against click flooding.
- Device “farms” were identified and banned through Device ID analysis.
- Using BI tools, installs were cross-checked with real user activity. Placements with no engagement were added to the Blacklist.
4. Funnel Optimization
Through targeting optimization at the campaign level, Traffy attracted more relevant users. This led to an increase in the CR from registration to FTD up to 60%, which is an abnormally high indicator for this region.
Key Insight
Deep publisher analytics in Moloco Ads combined with category segmentation allows reducing deposit cost by more than 2x while maintaining high player quality (Retention and repeat deposits).
Result
Traffy not only met Africa Bet’s KPIs but also built a stable model for further scaling. Even in “difficult” geos, a systematic optimization approach makes it possible to achieve outstanding results. At the moment, the campaign continues to run, and user Retention (FTD 2) shows organic growth.
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