Delivering the right game at the right time doesn’t need to be complicated. This week’s Flow shows how easily one of our clients built a personalised real-time game recommendation engine using Flows’ no-code automation and real-time data orchestration.
By tracking player activity and mapping game tags, operators can send smart, timely suggestions that reflect player interests and help them discover more of your game offerings. It’s a simple way to boost engagement and help players discover more of your portfolio, automatically.
The Challenge – Recommending games that actually match player interests
To keep players engaged and coming back, it’s not enough to push the latest releases. Personalised recommendations need to feel relevant and timely. But building that level of personalisation usually takes time, resources, and ongoing development.
To make recommendations feel personal and relevant, operators need to:
- Track every game a player interacts with
- Map each game to its categories or tags
- Build up a profile of player preferences over time
- Filter out already-played games
- Recommend unplayed games that match their most-played categories
- Present the suggestions at the right time, like during login
Trying to do this manually or with static rules is time-consuming, hard to scale, and often too generic to have impact.
The Solution – Flows brings game recommendation to life
Using Flows, our client created a fully automated recommendation engine that updates with every spin. Player activity triggers the Flow, which tracks category tags and builds a real-time interest map. Once a week, when the player logs in, Flows uses that profile to suggest new games they’re likely to enjoy, but haven’t played yet.
No dev work. No manual setup. Just smart, personalised engagement.
Why orchestration matters
What makes this Flow powerful isn’t just the automation , it’s the orchestration behind it. Flows connects live player activity, game metadata, and dynamic triggers in real time. This coordination allows operators to deliver the right message at the right moment, based on the most relevant data and without the need for static rules or manual logic. It’s personalisation that adapts and scales automatically with every player interaction.
How it works:
- Tag every game
Each game is stored in a central list with all relevant tags and categories (e.g. ‘Fantasy’, ‘Bonus Buy’, ‘Megaways’). These are used later to match against player preferences. - Track game activity
Every time a player spins or places a bet, a Flow is triggered. It logs the game played, reads the tags, and updates a count of how often each tag appears for that player. - Build a player profile
Flows keeps a running count of tag frequency for each player. Over time, this builds an accurate profile of what the player enjoys. - Recommend new games
At login (or another scheduled time), a Flow compares the player’s top tags with your game list. It then selects unplayed games that match those preferences. - Show the recommendation
A FlowsWave pop-up appears during login, highlighting one or more recommended games. The message is personalised using dynamic tag data and can include a call-to-action to play now.
Real value, real engagement
This Flow delivers smart personalisation without any dev work. It helps players discover new favourites, increases time on site, and makes game discovery feel effortless. All while reducing manual effort for your teams.
By combining live data orchestration with real-time triggers, this Flow creates a fully automated player journey that feels truly personal.
What You Need
Getting started with this Flow is simple:
- A central game list with tags and categories
- A trigger for player game activity
- Login or session triggers to launch recommendations
- FlowsWave to display in-session pop-ups
- Optional CRM or analytics integrations to track results
Once set up, the Flow runs automatically, adapting to each player and helping you surface more of your game library with zero manual effort.
Ready to recommend smarter with real-time game recommendations?
Keep players engaged and eager for more with relevant, personalised suggestions delivered right when they matter most. With Flows, you can seamlessly orchestrate data-driven engagement and deliver meaningful, real-time game recommendation experiences.
Contact us to book a demo to see this Flow in action and start building your own real-time recommendation engine today.
