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Revealed: worst areas in England for gamers during lockdown
- South West bottom of the pile for broadband speeds, with five of the ten areas where gamers are most likely to disrupt gameplay
- Cities of London and Westminster the worst area for access to superfast broadband
- Kingston Upon Hull ranks the highest for the best place to play video games online based on average speeds and availability of superfast broadband
New research from comparethemarket.com reveals the areas in England that are the worst for gamers, with gameplay in Central Devon the most likely to be disrupted due to poor broadband speeds.
The research analyses the average download speed (Mbps), superfast broadband availability and the percentage of households’ ability to receive decent broadband.
Gamers based in the South West score the least points when it comes to connection speed, with five out of the top ten worst hit areas in England. With Central Devon having the dubious distinction of being the worst in the country, Torridge and West Devon, Forest of Dean, Somerton and Frome, and Tiverton and Honiton all suffer disruption from poorer broadband speeds.
Some may be surprised to see the Cities of London and Westminster ranked the 10th worst constituency for gamers overall. When it comes to access to superfast broadband, this area takes the last place out of all areas, with a quarter unable to access the very fastest connection. By comparison, in Luton North and Leicester West, superfast broadband availability is 100%.
Kingston Upon Hull is hailed as the best place for gamers, ranking top in the country for average speeds and the availability of superfast broadband. Less than 2% of the area’s households have access to decent broadband. Other cities areas that rank highly for gamers include Grimsby, Gillingham and Rainham in the South East, and Nottingham North in the East Midlands.
Top 10 – England’s worst areas for gamers
|
Rank |
Area Name | Region | Average speed (MBPS) | Superfast availability | Unable to receive decent broadband |
| 10 | Cities of London and Westminster | London | 34.41 | 75% | 0% |
| 9 | Somerton and Frome | South West | 42.75 | 82% | 10% |
| 8 | Harwich and North Essex | East of England | 37.06 | 83% | 9% |
| 7 | Tiverton and Honiton | South West | 31.89 | 81% | 9% |
| 6 | North Herefordshire | West Midlands | 35.09 | 80% | 9% |
| 5 | Penrith and The Border | North West | 36.01 | 81% | 12% |
| 4 | Ludlow | West Midlands | 33.09 | 81% | 11% |
| 3 | Forest of Dean | South West | 31.61 | 79% | 10% |
| 2 | Torridge and West Devon | South West | 34.01 | 81% | 12% |
| 1 | Central Devon | South West | 34.05 | 77% | 12% |
Top 10 – England’s best areas for gamers
|
Rank |
Area Name | Region | Average speed (MBPS) | Superfast availability | Unable to receive decent broadband |
| 1 | Kingston upon Hull East | Yorkshire and The Humber | 137.44 | 99% | 1% |
| 2 | Kingston upon Hull North | Yorkshire and The Humber | 132.15 | 100% | 1% |
| 3 | Kingston upon Hull West and Hessle | Yorkshire and The Humber | 122.24 | 99% | 2% |
| 4 | Crawley | South East | 88.40 | 99% | 0% |
| 5 | Filton and Bradley Stoke | South West | 93.49 | 98% | 1% |
| 6 | Luton North | East of England | 84.10 | 100% | 0% |
| 7 | Morecambe and Lunesdale | North West | 87.70 | 99% | 0% |
| 8 | Great Grimsby | Yorkshire and The Humber | 89.56 | 98% | 1% |
| 9 | Stevenage | East of England | 86.93 | 99% | 0% |
| 10 | Gillingham and Rainham | South East | 86.61 | 99% | 0% |
Holly Niblett, head of digital at comparethemarket.com, commented:
“Lockdown has seen a surge in the number of people relying on the internet for work and leisure. There is a wide disparity in the connection speeds and access to superfast broadband across the country, with people facing a particularly hostile environment in parts of the south west. For many, a reliable internet connection is a lifeline during a difficult time.
“Our new speed-test tool allows people to see how fast their broadband speed is and what better deals and speed is available in their area, because for many households, a fast download speed is a deal-breaker when it comes to choosing a provider. Perhaps unsurprisingly, we have seen a steep rise in the number of customers switching online to the fastest packages during isolation.”
comparethemarket’s tips for improving your broadband speed:
1. Test the speed of your broadband connection
You can run a speed test on comparethemarket’s new speed-checker tool, which enables users to check how long it will take to download a film or game in their area: http://www.comparethemarket.com/broadband/speed-test You’ll be shown both your download and upload speeds.
2. Move your router away from other devices
Keep your router as far away as possible from other electrical equipment and devices that emit wireless signals, such as cordless phones, baby monitors and computer speakers. Try to place your router on a table or shelf rather than on the floor and keep it switched on.
3. Turn off WiFi on devices you’re not using
If you have multiple devices such as tablets and smartphones running in the background, it can slow down your broadband, so try switching WiFi off on these when you’re not using them. You should also avoid carrying out data-heavy tasks like HD streaming, gaming or video calls at the same time as others in your household.
4. Give your computer a spring clean
There are many applications on your PC that could affect your broadband speed, some without you even realising it. A few simple quick fixes include making sure your anti-virus software is up to date, making sure you’re using the latest version of your web browser, such as Chrome, Firefox or Microsoft Edge and clearing your cache and browser history.
For more information on the research, please go to: https://www.comparethemarket.com/broadband/content/best-cities-in-england-for-gamers/
Methodology:
The following table reveals the areas of England where gamers are most likely to disrupt gameplay due to bad broadband speeds.
Data taken directly from the source are in the columns titled Area name, Region, Average speed (MBPS), Superfast availability and unable to receive decent broadband.
To calculate the index we first normalised the data categories individually from 0 to 1 and then summed the results.
On this scale, for
- Average speed – The higher index would be weighted closer to 1 – detailed in the average speed weighting column
- Superfast availability – The higher index is weighted closer to 1 – detailed in the superfast weighting column
- Unable to receive decent broadband – The higher index is weighted closer to 0 – detailed in the Decent broadband weighting column
Total and rankings were determined by the above.
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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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