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Five AI tools every game developer should have in their toolbelt

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The games industry is no stranger to Artificial Intelligence (AI) in video games. Anyone that’s played a game populated by NPCs or multiplayer games with bots will know that the quality of the AI that defines how they interact with players can be hugely variable. Done well, AI-controlled characters help a game to be more cohesive and engaging.

That’s why research into game AI is an ongoing focus for so many studios, with bigger companies such as Sony exploring advanced AI techniques like reinforcement learning, which has the potential to create the most advanced form of NPCs to be a player’s friend or foe, depending on how they play.

But AI’s capabilities don’t stop there. AI is also changing the way games are developed, adding much greater realism to in-game characters, gaming experience and creating autonomous online bots that are near-indistinguishable from human players.

Electronic Arts is currently developing systems that use machine learning to replicate facial expressions, skin types and body movements from video and photos. In theory, this means that actors would no longer have to come into a  mo-cap studio and there would be a greater range of genders and ethnicities produced in games.

With so much happening in this space, we’ve compiled a list of five AI tools every game developer should have at hand to make their lives easier.

 

Content Generation

One of the most time-consuming processes a developer will have to deal with is content generation, especially in puzzle games where there is a high demand for new levels. But AI technology can help here, using a method known as Procedural Content Generation (PCG), which creates content algorithmically. AI can be used to generate tens or hundreds of variations ready to be reviewed and selected. If the AI is being used for level generation, it’s even possible to use AI bots to play the levels and score them for difficulty or the time it takes to complete them.

PCG allows for quicker content creation and provides developers with more time for creative experimentation. The AI can easily do the heavy lifting, but human input is still crucial to launching a polished product, which is where the developer’s skill comes in.

 

Testing

Unlike mobile apps or web pages, games are one of the hardest forms of software to test due to their sheer variation, the near-infinite number of states a game can have, its custom interaction models, and constant updates.

Games are still mainly tested by humans, which means it can be a lengthy and expensive process. While big studios have the budget to create dedicated teams that focus solely on game testing, smaller developers mostly rely on their network of friends, coworkers and fans. But what happens when they are unable to test every aspect of the game? That is where AI and machine learning steps in.

Testing in video games is complex due to the number of split-second choices a player can make and the outcomes those choices have. In addition, there are interactions with other human and non-human players that are also non-deterministically playing the game, which further complicates things.

The advantage of using AI bots for your playtesting is that they can test quickly, constantly and methodically. For example, bots can be used to test for things like object clipping by running all the possible moves and interactions on a level far faster than a human player..

Cheat Detection

Cheating turns players off multiplayer gaming,  even if they are not directly affected. For players striving to be the best, it’s all too easy to turn to cheat tools that bestow superhero-like powers in the game. Cheating tools range from simple aimbots that assist with aiming and shooting in FPS games like CounterStrike to mining bots in MMOs that control a player’s character and essentially play for them.

Developers can combat the use of cheats with machine learning and behaviour-based detection AI. By collecting data on a player’s behavioural patterns, such as how a player moves the controller or how fast a player reacts, AI can recognise when an action goes beyond normal human behaviour.

While there are plenty of other products that are able to detect cheaters, the advantage of a machine learning system is that it’s continuously learning and adapting itself to fit the game – making it harder for players to fool. This means that developers can employ updates and patches to the game without having to reprogram the AI.

 

Content Moderation

Online toxicity has become a growing problem as more and more games are built around persistent online worlds with thousands of concurrent players. There are times that a small number of players spoil the experience for the majority.  However, AI is a great ally for developers looking to curb such behaviours and safeguard their players.

There are different approaches to moderating game chat. The most common is to use lists of banned words and phrases, which can be used to block posts that use them. The problem here is that gamers can get around moderation by changing letters to numbers or using slang phrases.

A better approach is to use an AI model that can consider the context of the text so that even if a player is being clever with the spelling of a word, it will still be flagged due to its context and intent. This kind of AI is relatively recent, with only a handful of experts working in this field. But, with no signs that toxic behaviours are declining and the number of people playing games increasing, this is a field that will continue to need expert solutions.

Whilst, AI can capture the bulk of comments before they are posted, human moderators are still required as the ultimate arbiters of what content is permissible.  But working as a team, human moderators and AI moderation can together ensure that games are a safe space for all players.

 

AI Player Stand-Ins

The big attraction of online games is the ability to interact and team up with other players.  However, there are not always enough human players to fill in the empty seats; that’s where bots come in.

Bots can act as a reasonable stand-in for human players, with a sophisticated range of behaviours. But it’s still pretty obvious to most when you are playing alongside a bot rather than a real person

One way to address this is to use AI to introduce more variables into the behaviour of the bots. This can give a much more realistic impression of unpredictability, and reproduce things like the risk-taking that you often encounter with human players.

While the combination of techniques used to create effective AI-based bots is fairly new, when done correctly it can create dynamic, adaptive and very human-like bots that add an extra dimension to online play.

 

AI tools are there to help developers

Developers are faced with an immense amount of challenges to develop great games very quickly, but thanks to the latest AI-based tools, there are powerful solutions to some of the most resource-hungry aspects of the development process.

That is why AI is increasingly becoming an essential addition to the game development process, providing developers with the tools, and the insight, to address any issue that arises.  Which, in turn, allows them to unload tedious tasks and concentrate on creative output.

 

 

About modl.ai

Headquartered in Denmark, modl.ai is a team of game developers, engineers and AI experts working together to create AI-driven tools for building better games. Its AI-based tools allow developers to rapidly create and test games and understand their players. modl.ai’s unique technology is designed to accelerate the game development process, automating repetitive and time-intensive tasks and helping developers to enhance and increase player engagement.

modl.ai was founded in 2018 by Christoffer Holmgård, Benedikte Mikkelsen, Lars Henriksen, Sebastian Risi, Georgios N. Yannakakis, and Julian Togelius, who between them have been involved in the launch of more than 30 games and have more than 28,000 citations in technical literature covering AI and game design. In 2019 the company successfully secured seed funding from a number of investors led by PreSeed Ventures, Denmark’s largest and most successful early-stage investor, joined by Saltagen Ventures and Propagator Ventures.

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How xSlots is bringing land-based DNA to the US online market

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RubyPlay’s newest studio has only one market in its sights. Shawn Collette, GM & Chief Designer, Jason Gilmore, VP of Game Design, and Adam Baldwin, VP, Math and Systems Design at xSlots, speak with Gaming Americas about its land-based heritage, social gaming experience and the product philosophy behind the studio built exclusively for US players.

xSlots is the latest studio to join RubyPlay’s multi-studio ecosystem. What was the thinking behind creating a venture specifically for the US market?

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How does that experience shape the way xSlots now approaches game development?

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The post How xSlots is bringing land-based DNA to the US online market appeared first on Americas iGaming & Sports Betting News.

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FB Success Story +155% FTD, 135% ROI

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Following Meta’s algorithm updates, many media buying teams found it much more difficult to scale Facebook traffic. Customer acquisition costs increased, advertising accounts became less stable, and even successful campaign combinations lost their effectiveness faster.

In the new Success Story, N1 Partners explains how they helped a media buying team specializing in Facebook traffic for the iGaming vertical adapt to changing market conditions and successfully scale traffic acquisition across Tier-1 GEOs.

The results after nine months of collaboration were impressive: a 155% increase in FTDs, 135% ROI, and a 22% reduction in average CPA.

About partner

The featured partner is a media buying team with four years of experience in affiliate marketing, specializing in Facebook traffic acquisition for iGaming products.

At the beginning of the partnership, the team was already working with Tier-1 GEOs, including Canada, Germany, New Zealand, and Australia. They consistently identified profitable campaign combinations but encountered the typical scaling limitations faced by many teams in the industry.

To continue growing, they needed a partner offering high-quality products with strong Reg2Dep and LTV performance, reliable payouts, and responsive support capable of handling increasing traffic volumes.

Why did they choose N1 Partners?

Several factors influenced their decision:

  • High Reg2Dep rates;
  • Strong player LTV performance;
  • Reliable and consistent payouts;
  • Fast and responsive affiliate manager support;
  • The ability to work with multiple brands within a single ecosystem.

For the initial testing phase, the team selected N1 Bet, RollXO, Lucky Hunter, and Retro Bet.

“Working with several brands at the same time gave the team much greater flexibility. Whenever one product started losing performance, we could quickly redirect traffic to another brand without interrupting our buying activity,” explained Polina Bogatko, Affiliate Manager N1 Partners.

Preparing for launch

Before launching the campaigns, N1 Partners specialists analyzed the partner’s previous performance and proposed a structured testing plan.

Instead of focusing on a single offer, they decided to test multiple brands simultaneously. This approach allowed them to identify much faster which products performed best with Facebook traffic in each GEO.

At the start, the partner also received several recommendations:

  • Start with the CPA payment model;
  • Separate advertising campaigns by audience type;
  • Build dedicated landing pages for each GEO instead of using one universal funnel;
  • Test broad audiences without narrow interest-based targeting;
  • Use multiple creative formats;
  • Evaluate not only registration costs but also the quality of acquired players.

This strategy helped identify promising campaign combinations early while preventing unnecessary spending on underperforming campaigns.

Choosing GEOs, offers and creatives

N1 Partners affiliate manager shared internal performance data highlighting products that consistently delivered strong results with Facebook traffic.

For the first stage, three high-potential GEOs with stable demand were selected:

  • Canada;
  • Germany;
  • New Zealand.

Australia was intentionally excluded from the initial testing phase to concentrate the available budget on fewer markets and collect meaningful data more quickly.

Offers were selected primarily based on two key metrics: deposit conversion rate and player quality. Among all available brands, the selected products consistently demonstrated the strongest overall performance.

For every GEO, the team created special creatives featuring localized visual elements and market-specific bonus offers.

Workflow organization

After launch, specialists from N1 Partners worked alongside the partner on a daily basis, analyzing campaign performance and deciding on the next optimization steps.

“Regular data sharing allowed us to detect changes almost immediately. We didn’t wait until the end of the week, we adjusted offers, budgets, and creatives as soon as we saw a consistent performance signal,” noted Polina Bogatko, Affiliate Manager N1 Partners.

Teams closely monitored:

  • Reg2Dep and LTV;
  • Player quality;
  • Budget allocation between products;
  • Individual GEO performance;
  • Results of newly launched creatives.

Most operational questions were resolved by the affiliate manager within a few hours. This allowed the partner to quickly switch offers and launch additional tests without interrupting traffic acquisition.

Initial hypotheses

During the preparation phase, N1 Partners suggested testing several working hypotheses:

  • Video creatives could outperform static banners;
  • Different advertising concepts might attract audiences of different quality;
  • Rapid budget increases could reduce campaign stability;
  • Evaluating traffic solely based on acquisition cost does not reflect its actual value.

The team tested lifestyle creatives, game-focused concepts, bonus offers, and social proof elements. Budgets were increased gradually, while campaign performance was evaluated not only by CPA but also by player behavior after making their first deposit.

“The ability to compare several brands simultaneously played a crucial role. Whenever statistics indicated a decline in traffic quality, we suggested another product or reallocated the budget. This helped maintain acquisition momentum without relying on a single offer,” commented Polina Bogatko, Affiliate Manager N1 Partners.

Strategy and optimization

After the initial testing phase, the team focused on increasing traffic volumes without compromising player quality.

To achieve this, the partner:

  • Duplicated the highest-performing campaigns;
  • Regularly launched new creatives;
  • Split campaigns by device type;
  • Applied successful approaches to markets with similar audience characteristics.

At the same time, budgets were increased gradually, helping maintain campaign stability while keeping CPA within the target range.

What delivered the best results?

Four optimization strategies produced the strongest performance improvements:

  • Creative localization;
  • Continuous production of fresh advertising materials;
  • Pausing underperforming campaign combinations within the first 48 hours;
  • Optimizing based on player quality rather than CPA alone.

At one stage of the campaign, the affiliate manager noticed that one of the brands was achieving a significantly higher Reg2Dep rate from Facebook traffic in Canada.

After jointly reviewing the data, part of the advertising budget was shifted toward that product.

“The decision was based on more than just the number of deposits. We also evaluated player LTV and repeated activity. After reallocating the budget, profitability increased, and further scaling became much more stable,” said Polina Bogatko, Affiliate Manager N1 Partners.

Results

After nine months of collaboration, every key performance indicator improved significantly.

  • Monthly FTDs increased from 450 to 1,150 (+155%);
  • ROI increased from 86% to 135%;
  • Average CPA decreased by 22%;
  • Revenue increased by approximately 2.5 times;
  • Player LTV increased by 25%.

The most important achievement was not a single successful campaign but the creation of a sustainable Facebook traffic acquisition model. The partner was able to continuously scale traffic across Tier-1 GEOs without experiencing a proportional increase in acquisition costs.

Key takeaways

  1. What was the biggest advantage of working with N1 Partners?

According to the media buying team, working with N1 Partners helped establish a clear and scalable traffic acquisition process.

The main contributing factors were high-quality products, strong Reg2Dep performance, and constant communication with the affiliate manager. The team also emphasized that N1 Partners specialists proactively suggested new testing hypotheses before market changes began noticeably affecting campaign performance. This allowed them to stay ahead of industry trends instead of reacting only after performance had already declined.

  1. What made the results possible?

Polina Bogatko, Affiliate Manager N1 Partners: “The biggest factor behind our success was the partner’s willingness to continuously test new approaches. We evaluated not only Facebook campaign metrics but also player quality for every brand and GEO. This enabled us to redistribute budgets quickly and focus on the most promising campaign combinations.

After launching localized creatives and testing new audiences, the number of FTDs in Canada nearly doubled within just a few weeks, while campaign ROI remained stable. This clearly demonstrated the importance of continuous testing, fast analytics, and close collaboration between both teams”.

Scale your Facebook traffic with N1 Partners!

N1 Partners gives affiliates access to:

  • 14+ casino and betting brands with high Reg2Dep 
  • 10+ Tier-1 GEOs
  • CPA up to €700 and RevShare up to 55% + NNCO for top partners

Be number one with N1!

The post FB Success Story +155% FTD, 135% ROI appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.

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Facebook

FB Success Story +155% FTD, 135% ROI

Published

on

fb-success-story-+155%-ftd,-135%-roi

Following Meta’s algorithm updates, many media buying teams found it much more difficult to scale Facebook traffic. Customer acquisition costs increased, advertising accounts became less stable, and even successful campaign combinations lost their effectiveness faster.

In the new Success Story, N1 Partners explains how they helped a media buying team specializing in Facebook traffic for the iGaming vertical adapt to changing market conditions and successfully scale traffic acquisition across Tier-1 GEOs.

The results after nine months of collaboration were impressive: a 155% increase in FTDs, 135% ROI, and a 22% reduction in average CPA.

About partner

The featured partner is a media buying team with four years of experience in affiliate marketing, specializing in Facebook traffic acquisition for iGaming products.

At the beginning of the partnership, the team was already working with Tier-1 GEOs, including Canada, Germany, New Zealand, and Australia. They consistently identified profitable campaign combinations but encountered the typical scaling limitations faced by many teams in the industry.

To continue growing, they needed a partner offering high-quality products with strong Reg2Dep and LTV performance, reliable payouts, and responsive support capable of handling increasing traffic volumes.

Why did they choose N1 Partners?

Several factors influenced their decision:

  • High Reg2Dep rates;
  • Strong player LTV performance;
  • Reliable and consistent payouts;
  • Fast and responsive affiliate manager support;
  • The ability to work with multiple brands within a single ecosystem.

For the initial testing phase, the team selected N1 Bet, RollXO, Lucky Hunter, and Retro Bet.

“Working with several brands at the same time gave the team much greater flexibility. Whenever one product started losing performance, we could quickly redirect traffic to another brand without interrupting our buying activity,” explained Polina Bogatko, Affiliate Manager N1 Partners.

Preparing for launch

Before launching the campaigns, N1 Partners specialists analyzed the partner’s previous performance and proposed a structured testing plan.

Instead of focusing on a single offer, they decided to test multiple brands simultaneously. This approach allowed them to identify much faster which products performed best with Facebook traffic in each GEO.

At the start, the partner also received several recommendations:

  • Start with the CPA payment model;
  • Separate advertising campaigns by audience type;
  • Build dedicated landing pages for each GEO instead of using one universal funnel;
  • Test broad audiences without narrow interest-based targeting;
  • Use multiple creative formats;
  • Evaluate not only registration costs but also the quality of acquired players.

This strategy helped identify promising campaign combinations early while preventing unnecessary spending on underperforming campaigns.

Choosing GEOs, offers and creatives

N1 Partners affiliate manager shared internal performance data highlighting products that consistently delivered strong results with Facebook traffic.

For the first stage, three high-potential GEOs with stable demand were selected:

  • Canada;
  • Germany;
  • New Zealand.

Australia was intentionally excluded from the initial testing phase to concentrate the available budget on fewer markets and collect meaningful data more quickly.

Offers were selected primarily based on two key metrics: deposit conversion rate and player quality. Among all available brands, the selected products consistently demonstrated the strongest overall performance.

For every GEO, the team created special creatives featuring localized visual elements and market-specific bonus offers.

Workflow organization

After launch, specialists from N1 Partners worked alongside the partner on a daily basis, analyzing campaign performance and deciding on the next optimization steps.

“Regular data sharing allowed us to detect changes almost immediately. We didn’t wait until the end of the week, we adjusted offers, budgets, and creatives as soon as we saw a consistent performance signal,” noted Polina Bogatko, Affiliate Manager N1 Partners.

Teams closely monitored:

  • Reg2Dep and LTV;
  • Player quality;
  • Budget allocation between products;
  • Individual GEO performance;
  • Results of newly launched creatives.

Most operational questions were resolved by the affiliate manager within a few hours. This allowed the partner to quickly switch offers and launch additional tests without interrupting traffic acquisition.

Initial hypotheses

During the preparation phase, N1 Partners suggested testing several working hypotheses:

  • Video creatives could outperform static banners;
  • Different advertising concepts might attract audiences of different quality;
  • Rapid budget increases could reduce campaign stability;
  • Evaluating traffic solely based on acquisition cost does not reflect its actual value.

The team tested lifestyle creatives, game-focused concepts, bonus offers, and social proof elements. Budgets were increased gradually, while campaign performance was evaluated not only by CPA but also by player behavior after making their first deposit.

“The ability to compare several brands simultaneously played a crucial role. Whenever statistics indicated a decline in traffic quality, we suggested another product or reallocated the budget. This helped maintain acquisition momentum without relying on a single offer,” commented Polina Bogatko, Affiliate Manager N1 Partners.

Strategy and optimization

After the initial testing phase, the team focused on increasing traffic volumes without compromising player quality.

To achieve this, the partner:

  • Duplicated the highest-performing campaigns;
  • Regularly launched new creatives;
  • Split campaigns by device type;
  • Applied successful approaches to markets with similar audience characteristics.

At the same time, budgets were increased gradually, helping maintain campaign stability while keeping CPA within the target range.

What delivered the best results?

Four optimization strategies produced the strongest performance improvements:

  • Creative localization;
  • Continuous production of fresh advertising materials;
  • Pausing underperforming campaign combinations within the first 48 hours;
  • Optimizing based on player quality rather than CPA alone.

At one stage of the campaign, the affiliate manager noticed that one of the brands was achieving a significantly higher Reg2Dep rate from Facebook traffic in Canada.

After jointly reviewing the data, part of the advertising budget was shifted toward that product.

“The decision was based on more than just the number of deposits. We also evaluated player LTV and repeated activity. After reallocating the budget, profitability increased, and further scaling became much more stable,” said Polina Bogatko, Affiliate Manager N1 Partners.

Results

After nine months of collaboration, every key performance indicator improved significantly.

  • Monthly FTDs increased from 450 to 1,150 (+155%);
  • ROI increased from 86% to 135%;
  • Average CPA decreased by 22%;
  • Revenue increased by approximately 2.5 times;
  • Player LTV increased by 25%.

The most important achievement was not a single successful campaign but the creation of a sustainable Facebook traffic acquisition model. The partner was able to continuously scale traffic across Tier-1 GEOs without experiencing a proportional increase in acquisition costs.

Key takeaways

  1. What was the biggest advantage of working with N1 Partners?

According to the media buying team, working with N1 Partners helped establish a clear and scalable traffic acquisition process.

The main contributing factors were high-quality products, strong Reg2Dep performance, and constant communication with the affiliate manager. The team also emphasized that N1 Partners specialists proactively suggested new testing hypotheses before market changes began noticeably affecting campaign performance. This allowed them to stay ahead of industry trends instead of reacting only after performance had already declined.

  1. What made the results possible?

Polina Bogatko, Affiliate Manager N1 Partners: “The biggest factor behind our success was the partner’s willingness to continuously test new approaches. We evaluated not only Facebook campaign metrics but also player quality for every brand and GEO. This enabled us to redistribute budgets quickly and focus on the most promising campaign combinations.

After launching localized creatives and testing new audiences, the number of FTDs in Canada nearly doubled within just a few weeks, while campaign ROI remained stable. This clearly demonstrated the importance of continuous testing, fast analytics, and close collaboration between both teams”.

Scale your Facebook traffic with N1 Partners!

N1 Partners gives affiliates access to:

  • 14+ casino and betting brands with high Reg2Dep 
  • 10+ Tier-1 GEOs
  • CPA up to €700 and RevShare up to 55% + NNCO for top partners

Be number one with N1!

The post FB Success Story +155% FTD, 135% ROI appeared first on Americas iGaming & Sports Betting News.

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