iGaming
SMS
Journey Orchestration

Turn Players’ Quieter Days into $4M with Real-Time Activation

How an iGaming operator used Optimove Personalize to re-engage players on their off days and lift conversions by 14% with a single real-time campaign

Read time 4 minutes

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Increasing the Value of New Online Gaming Players

Download the report and discover proven methods to increase new player deposits, retention, and lifetime value when empowered by Positionless Marketing.

Why it matters:

In this post, learn how Optimove Personalize automatically identifies each player’s quietest day of the week and activates real-time, personalized messages to drive more consistent play and increase revenue.

Key takeaways:

  • Players have different weekly quiet moments, so one-size reactivation misses. 
  • Targeting each player’s quiet day with real-time personalization lifts engagement. 
  • Pairing timing + game recommendations drives consistent play and revenue.

The Problem with Reactivating Players on the Wrong Day

Player activity isn’t evenly spread across the week. Every operator sees predictable “quiet days,” those recurring days when a player is simply less likely to log in or start a session, but those dips aren’t the same for every player. When marketers don’t account for this, they miss their best chance to re-engage players and bring them back to play. 

One iGaming operator was running into this exact issue: quiet days were clearly where engagement —and potential revenue— was slipping, but they knew a generic campaign that wasn’t personalized to each player’s quieter day wouldn’t shift behavior. To make those off-days count, they needed a player-level approach that could re-engage each person on the right day — with clear goals in mind: 

  1. Encourage play on each player’s individual slow day
  2. Increase average active play days per user per week
  3. Grow revenue by improving weekly consistency

How Optimove Personalize ensures players are engaged at the right time

Optimove Personalize, a core solution within Optimove’s Positionless Marketing Platform, provided this iGaming operator powerful way to act on weekly quiet days. Optimove Personalize was used to pinpoint each player’s quiet day in the week and automatically re-engage them when it arrived, turning routine drop-offs into more consistent play and stronger revenue performance.  

Here is how it all works: 

1. Analyze real-time player behavior. 

Optimove Personalize continuously ingests data like day-of-week activity patterns, recent sessions, and game affinities. 

2. Pinpoint each player’s quiet day. 

From that data, it identifies the specific weekday when each player is least likely to play. 

3. Trigger outreach if they go quiet. 

When a player reaches their quiet day and doesn’t play, that moment automatically triggers a reactivation campaign. 

4. Send a timely, personalized recommendation message. 

The message blends a nudge to return with the most relevant games to recommend —recent favorites plus personalized new titles based on the player’s latest behavior— so they’re activated at the right moment with the right content. 

Activating players on their quiet day with Optimove Personalize delivered powerful, measurable results: 

  • $4M increase in revenue
  • 14% increase in conversion rate

And the behavior change stuck. Players who usually dropped off on their quietest day began returning more reliably, turning weekly lulls into consistent engagement and repeatable revenue gains. 

Example iGaming CRM journey: Weekly reactivation campaign

Incorporating a quiet day trigger into a larger player journey is a powerful way to turn a single re-engagement moment into an always-on reactivation campaign. Instead of treating quiet days as inevitable, isolated dips, you use them as weekly touchpoints that rebuild habits over time. Here’s a simple example of how that can work: 

1. Journey eligibility: Early drop-off detected 

The operator uses AI-driven behavioral analysis (surfaced as a CRM attribute) to identify players who’ve been active recently but show a recurring weekly lull — a consistent quiet day where they’re least likely to play. These players automatically enter the journey. 

2. Quiet day campaign  

On each player’s quiet day, Optimove Personalize launches a personalized reactivation campaign designed to bring them back, featuring recent favorites they’ve played lately, new recommended games matched to their latest behavior, and a quick “come back in” nudge. 

3. Follow-up based on the player’s response 

If they return and play, send a light reinforcement message the next week on the same quiet-day trigger to build consistency. If they don’t return, retry on the following quiet day with refreshed recommendations and a promotional offering. 

4. Exit / reroute 

Players who regain steady weekly activity exit the journey; players who continue to stay quiet roll into a broader churn-prevention journey. 

This keeps quiet day as the engine of the journey, while the surrounding steps turn it into a repeatable habit-building reactivation cycle. 

In Summary

Quiet day campaigns turn weekly quiet-day patterns into timely, personalized reactivation moments that bring players back and increase revenue. It’s Positionless Marketing in practice—acting on real player signals instantly, without fixed segments or channel limits.  

If you want to explore a quiet day use case for your brand, contact us for a demo.

Download the report and discover proven methods to increase new player deposits, retention, and lifetime value when empowered by Positionless Marketing

Edward Aaron-Obelley

Edward is an experienced Product Marketing Manager in the B2B SaaS industry with a background in chemical engineering. He is currently driving product marketing efforts at Optimove, focusing on Go-To-Market (GTM) strategies, messaging & positioning, and competitive intelligence for the Opti-X platform. 

He is passionate about simplifying complex and technical concepts into engaging stories that resonate with customers. Edward holds a master’s in Chemical and Process Engineering from the University of Surrey.

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