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METANOMIC LAUNCHES ‘THUNDERSTRUCK’ – 1st gamer analysis tool powered by AI
Metanomic, the complete game economy and player analytics company, today proudly announces the global launch of its Thunderstruck player analytics platform; which is poised to revolutionise game developers’ use of behavioural data to improve retention and monetisation.
Thunderstruck is the first ever video game analytics platform to leverage AI-powered behavioural analytics. It makes use of Bayesian inference-backed AI to understand data from real in-game events, drawn directly from game servers. Thunderstruck analyses player motivations, play styles, and reward preferences, providing developers with live information on who their game is for, what types of players have the highest retention, and which players spend the most in-game. Until now, game creators have had to rely on outdated player classification models combined with market research, and plug gaps in insight with assumptions and guesswork.
Metanomic was founded in 2021 by veteran game designers, AI experts, and professional economists, and has successfully secured USD $2.9 million pre-seed funding to-date. Thunderstruck is launching with 7 player types – Killers, Achievers, Explorers, Socialisers, Speedsters, Conquerors, and Scientists – which can be tailored to the priorities of individual game titles. Player types will be refined and added to as the platform analyses data from more titles, while its Bayesian AI means Thunderstruck can even identify the series of events that lead to specific player actions.
Announcing the launch of Thunderstruck, Theo Priestley, CEO and Founder of Metanomic, said:
“For too long, game developers have relied on blunt instruments to understand their players. It’s no exaggeration to say that the bulk of the games industry’s framework for player classification dates back to a 1996 essay by Richard Bartle. A generation later, Thunderstruck is the next big leap forward, taking just a few days to generate more insight than a team of analysts could in a month. We understand that players can straddle multiple personas or even change persona based on their motivations, and use custom AI and live data to accurately anticipate how they’ll respond to metagame changes. Thunderstruck is all about empowering game developers with a better way to identify, acquire, and impact the right players for their game.”
Thunderstruck is equally suitable for mobile, console, and PC; existing as well as new games; and web3 as well as traditional web2 games. It works in tandem with Metanomic’s free Economy Engine platform, which was launched earlier this year to help studios to build, simulate and monitor their game economies.
Thunderstruck is launching with 7 player types.
|
Killers
These players enjoy killing, creating chaos, and competitive elements most of all. They focus on winning, climbing player rankings, obtaining status, provoking, and imposing drama onto others. |
Achievers
These players are competitive and enjoy overcoming difficult objectives, whether set by the game or themselves, in order to obtain prestige, prizes, and other types of material possessions. |
Explorers
Those that like to learn as much about the game as possible, Explorers seek to understand the finer details of game mechanics. The thrill of discovery and uncovering hidden areas or objectives motivate these players over points or prizes. |
Socialisers
Players that experience fun in interacting with other players through social systems like using chat, managing guilds, or role-playing rather than playing the game itself. They tend to collaborate or join forces with others to achieve objectives than they could on their own. |
|
Speedsters
Cheetahs race to objectives in order to be among the first to reach the end-game content or the highest level. They spend most of their time grinding experience and playing for long hours. |
Conquerors Conquerors enjoy the struggle against adversity and beating impossibly difficult odds. They are persistent, forceful, and repetitive in their pursuit to overcome their objectives. |
Scientists
Commonly referred to as ‘Crafters,’ Scientists seek to improve their skills by gathering resources and creating or improving items for themselves and to sell to others. They find enjoyment in more passive forms of game mechanics and objectives. |
The Thunderstruck player personas are also influenced by ‘passion’ – how often and how well they play. They can also be tailored by the game developer or publisher depending on their priorities. For example, in different types of game, ‘Achiever’ could mean the highest skilled, the richest, or the players with the most wins. In future, Metanomic will frequently add additional and more granular player types to further studios’ understanding of their players. |
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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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