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Smartico Develops a Rockstar AI Predictive Tool for CRMs

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Knowing me, knowing you … There’s nothing we can do …

Goes the famous ABBA song of the 1970s.

Ironically, this is exactly the conundrum that customer relationship management (CRM) executives face when they design and implement a marketing strategy. Especially those in the gaming and betting industry. They know who their customers are. They know their customers could punt big.

But they don’t know the most ideal time to send a simple email to their customers. Or they don’t know the best time to push a social media post.

Shortcomings of One-size-fits-all Strategy

 

Oftentimes, CRM executives resort to a one-size-fits-all strategy. Take the email campaign as an example. They push their mails over the night so that the job is done by the next day. That is one neat tick on the box of weekly tasks.

But does it get the job done? The job of making the customers read the mail and follow the call for action?

Well, a no has to be the answer here. Different customers have different reading habits and different routines. The mail, for example, may not reach them at the exact time when a user engages most on the internet.

How would a CRM executive know this? That’s why we are back again to the ABBA song of the seventies: Knowing me, knowing you … There’s nothing we can do.

But not quite so now. This is 2021. And there has to be a way.

Enter Smartico’s AI Model

 

Smartico’s new AI tool automatically customizes the communication schedule of each and every customer, based on the real-time data on the online habits of the customer.

If X is most active during the mornings for the last six months or so, and is most likely to make a bet on that time on Sunday, it is a no brainer that the CRM executive must push the mail and social media posts on Sunday mornings.

The new module of Smartico CRM does exactly this. The AI tool analyzes the real-time data on customer behavior and predicts the optimum timings for communication.

Let’s look briefly into how it is done.

How It Works

 

The Smartico AI model relies on machine learning. It can make accurate predictions from large data sets. It will be of great use in customer retention. The model predicts the best time of the day to send email communication to the customers.

The model uses the user data on the existing CRM. It predicts the best time for sending communications to the user. Communications can be

  • Emails
  • Push messages
  • Short messages
  • Social media posts

The next step is to define the best time. Is it mornings, evenings or later nights? Smartico’s model uses a 24-hour time frame.

The model analyzes the past activities of a customer in the CRM database to predict the best times. Customer activities can be any of the following:

  • Just being online – opening mails or seeing social media posts
  • Engaging with the message – reading mails, clicking links on messages or interacting with social media posts
  • Doing business – making deposit, posting a bet, or signing up

This is not a plug-and-play AI model. It needs active involvement of a CRM operator for best setup. Smartico offers a smooth interface that allows the operator to set up the tool. While it could take some hours to set up the campaign initially, the tool will provide results within much more quickly once perfected.

During the setup, the operator can perform any of the following tasks:

  • Finding optimum timings for communication – The tool will offer multiple optimum timings during the 24-hour period. Human intervention is required to identify the best timing among them.
  • For short term campaign – The model will predict the nearest best timing for sending a communication.
  • For long term campaign – The tool will offer a range of best timings over a week for scheduling a campaign.

Simplifying AI

Smartico’s team spent long hours to create a working AI model that could improve the CRM platform’s customer retention and conversion rate. The team tried and discarded several models, and tried again, found and improved the present prediction model. It has the proven capability to improve the conversion rates.

AI is going to change the way a CRM system works, especially for highly competitive segments like betting and gaming. It is here to stay. It’s like a sweeping wave. The smart way is to harness its power to improve your CRM and enhance customer retention.

The AI systems do not come often with a low entry point. It’s high-end engineering. Smartico’s AI model is perhaps the one with the lowest entry level. It simplifies the human tasks so much so that the user does not need to worry about the architecture or data processing. Just follow the interface and see the results.

Knowing all these things, this is the best you can do – for your CRM that is.

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Digicode to demo Diger Suite iGaming stack at iGB L!VE London 2026

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The company says it will show five modules covering RGS, PAM, payments, affiliates and an AI ops assistant at ExCeL London on 1–2 July.

Digicode will exhibit at iGB L!VE London 2026 on July 1–2 at ExCeL London, where it plans to showcase its Diger Suite modular iGaming technology ecosystem.

The company said the Diger Suite is built to help operators integrate multiple technology partners while maintaining player experience, compliance workflows and operational agility as they expand into regulated markets.

Digicode’s product lineup at the show includes DigerRGS (remote game server for launching, distributing and managing content across jurisdictions), DigerPAM (player account management covering player operations, compliance and responsible gaming controls), and DigerPay (payment orchestration supporting local payment methods and regulatory requirements).

It will also present DigerClick, an affiliate management platform with tracking, partner management, commission automation and analytics, plus DigerCompanion, described as an AI-powered operational assistant for automating customer support and internal workflows.

Digicode said its team will use the event to meet operators, game providers, affiliates and technology partners to discuss platform interoperability, modernization of legacy systems, and approaches to reducing vendor lock-in through modular integrations.

The post Digicode to demo Diger Suite iGaming stack at iGB L!VE London 2026 appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.

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Million Games launches Skull King’s Treasure with partner studio Arcane Pixel

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High-volatility 6×6 cluster slot goes live to operators and aggregators via Million Games on 30 June 2026.

Million Games has launched Skull King’s Treasure, a high-volatility cluster slot developed in partnership with Million Stars studio Arcane Pixel. The game becomes available to operators and aggregators through the Million Games distribution network on 30 June 2026.

The title is Arcane Pixel’s first release under the Million Games brand. It runs on a 6×6 grid with a cluster pay mechanic, paying on connections of five or more matching symbols and using cascading wins to enable multiple outcomes from a single spin.

Gameplay is built around Wild generation and multiplier progression via the Skull King mechanic. Winning Wild symbols are absorbed to increase the multiplier for subsequent cascades, linking continued wins with increased payout potential.

A Free Spins mode triggers on four or more Scatter symbols and awards up to 10 spins. During Free Spins, the multiplier does not reset between spins.

“With Skull King’s Treasure, Arcane Pixel has delivered a confident first release,” said Thomas Nimstad, CEO of Million Games. “The game combines familiar cluster mechanics with strong multiplier progression, creating a clear and engaging experience with real upside. It’s exactly the kind of partner-driven innovation the Million Stars programme is built to support.” Million Games said the title has a maximum win potential of 10,000x the bet.

The post Million Games launches Skull King’s Treasure with partner studio Arcane Pixel appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.

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Paysecure hires Entain’s Ganesh Iyer as Head of Product

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The payment orchestration platform also appoints Lili Piper as Senior Partnership Manager and adds infrastructure and blockchain leads.

Paysecure has appointed Ganesh Iyer, formerly of Entain, as Head of Product, as the payment orchestration platform looks to scale internationally across iGaming and global ecommerce.

Paysecure said Iyer will lead the next stage of product design. At FTSE 100-listed Entain, he led Global Payments across 20+ regulated markets, managing a team of seven Product Managers and distributed engineering squads.

The company also named Lili Piper as Senior Partnership Manager. Piper previously worked as Business Development Director at Volt.io and Senior Business Development Manager at Paysafe, and will focus on growing revenue from Paysecure’s partner network and adding strategic partners to expand payment method choice for clients.

Paysecure added that it has made further hires over the last two months, including Head of Infrastructure and Head of Blockchain, as it expands its technical footprint.

Ganesh Iyer, Head of Product, Paysecure, commented, “After time at Entain, I am pleased to join the Paysecure team and having worked on the operator side of the orchestration space, I can’t wait to get started. I’m looking forward to refining our products to clearly address the deep needs of our client personas, and surface clear product and functionality feature sets that differentiate us in our market as a challenger brand.”

Amit Hooja, Co-Founder and CEO at Paysecure, said: “We’re excited to welcome Ganesh and our new colleagues to the Paysecure team. Ganesh will spearhead our product development, and there’s a shared sense of purpose towards the work we are doing, which we believe is game changing in the payment orchestration space. We look forward to bringing new products to the market and continue to lead the way in the sector”.

The post Paysecure hires Entain’s Ganesh Iyer as Head of Product appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.

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