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100% gambling fairness: how to check games results?

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Among the key pillars that influence on the trust of online casino games, Provably fair technology occupies a special place. The request from players for honesty and at the same time the evolution of crypto technologies gave the development of new transparent systems for checking the outcomes of the game. BGaming was the first major iGaming provider to offer a “Probably Fair” feature. With cryptography, players can easily verify that all game outcomes are truly unbiased and random.

Thin end of the wedge
The first semblance of a system of “proven justice for players” was represented by some individuals online casinos as the password-protected archive with thousands of outcomes for the game. This «manual way» implies that after some time the archive was published and players had the chance to check the randomness (of course, provided the player remembered all of the rounds IDs). This took place long before the cryptocurrency rush.

Crypto gave the technology a second breath, but it had a lot of disadvantages at first. The basic systems generated two numbers before the bet was placed: “server seed” by the server and “client seed” by the player. When the bet was placed the RNG made use out of these two numbers to generate the outcome of the game. This “client seed” method was clearly affecting the game result. This is unpredictable, but still affecting the results. The system proves itself, but was too hard for a regular player to use.

Blockchain helps simplify the verification process through controlled code. This code is subject to public audit in a more reliable manner. Instead of the player manually checking each round, the software can be checked once to ensure that there is no form of foul play. You can then run periodic checks to confirm that the code has not been changed.

The impact of BGaming innovations

Bearing in mind the shortcomings of the manual ways, the BGaming team developed its own result verification system for online slots.

Marina Ostrovtsova, director of BGaming explained: “We started developing slots in the early days of the cryptocurrencies boom, so this feature pretty much comes from our history as well. We are proud to state that BGaming was the first slot game developer to introduce Provably fair into the casino content world.

BGaming’s Provably Fair system unites the best aspects from the existing alternatives. Why did we build it? We wanted to offer the players something extra besides the games and we were smart enough to adjust our system to the best user experience.”

In simple terms, BGaming calculates the outcome of each round before the actual bet is placed. Everything happening after a game round is there for the player to verify the fair outcome of the game. We go into more detail on how the BGaming Provably Fair feature works here. The description of the method placed here.


Why it is a trend on the example of BGaming

  • Among top 3 BGaming games in terms of GGR volume in 2019-2020, 2 games have Provably Fair technology support.

  • Interest in BGaming games from crypto projects is growing every year by at least 15%, which creates a separate niche for our business growth

  • Operators are interested in Provably Fair games because it helps to increase their trust level among players, that’s why operators create separate sections with PF games or additionally highlight technology on games icons

The “Provably fair” feature, (developed and first implemented by BGaming) is a great way for players to feel safe. Security and transparency are two extremely important ingredients for a successful provider. Most important for our Slotwolf Casino team is to satisfy our casino players and match their demands for exciting, fair and supreme entertainment,” – noted Harald Pia from Slotwolf Casino team.

What games can be checked by the Provably Fair algorithm?

BGaming’s approach to creating new games and services is focused on regular analysis of player needs and player care. That’s why the team pays extra attention to building a portfolio of Provably Fair games. Today the BGaming’s lineup includes 35 games such as online roulette, video poker, card games and a large number of online slots. Games that support the Provably fair feature maintain leading positions in online casinos. Top brand’s slots such as Aztec Magic Deluxe, Lucky Lady Clover and Mysterious story of Avalon: Lost Kingdom found its place in BGaming’s portfolio of Provably Fair games.

The Provably Fair gaming concept has transformed the way online casinos operate. Now some of online casinos include exceptionally the Provably Fair feature games, as well as platforms aggregators, are looking for new slot providers that could offer proven fair play. In fact, the Provably Fair feature took players’ respect to a new level and opened the world of iGaming to more audiences.

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Scaling In-App Traffic in iGaming: A Performance-Driven Approach

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scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

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.

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iGaming

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

scaling-in-app-traffic-in-igaming:-a-performance-driven-approach

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.

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Latest News

Scaling In-App Traffic in iGaming: A Performance-Driven Approach

Published

on

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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