Reviving Retention through Live-Ops

Redesigning event progression loops and monetization UX to recover a declining user base & boost veteran player retention by 30% in a high-friction console game.

Packaging product box

Summary

Designing for a console-based sports game presents a unique challenge: the barrier to entry is high. Players must physically set up the game and expend real energy. Therefore, every UX decision must ruthlessly justify the player's physical effort.

Our game was experiencing significant churn, dropping 14% of its players when we stopped adding new content. As a Product Designer, my goal was to balance the business needs (making money) with the user needs (having fun). By analyzing player data, overhauling the reward economy, strategically reskinning existing UI components to minimize engineering effort, and launching a new event format that resolved past friction points, we successfully re-engaged our users. This strategy brought players back, growing our Monthly Active Users (MAU) by 23% between phases, increasing player stickiness (WAU/MAU) to 44%, and boosting old player retention by 30%.

A stable game is a dead game if it lacks a pulse. We needed to re-inject urgency through a structured Live-Ops ecosystem

Chapter 1 (Learning)


The Product Idea: If we build a big event, players will play.

Before 2025, everything we did was about learning. We launched our first Live-Op (MFL) in May 2024. It matched a real-world sports tournament and was a massive hit, getting over one million runs in a week. But a generic event we launched later in August completely failed.

What We Learned for the Future: We talked to users to find out why they stopped playing. Two big problems showed up:

  • Hidden Value: The UI hid the prizes. In product design, if users cannot clearly see the reward upfront, they have no motivation to grind.

  • No Real-World Context: The August event did not match any real-world sports. Players simply did not care about a fake tournament.

The Strategy Pivot: We planned a strategic Live-Ops calendar to perfectly match real-world games, like the Asian Cup and Women's World Cup.

Chapter 1 (Learning)


The Product Idea: If we build a big event, players will play.

Before 2025, everything we did was about learning. We launched our first Live-Op (MFL) in May 2024. It matched a real-world sports tournament and was a massive hit, getting over one million runs in a week. But a generic event we launched later in August completely failed.

What We Learned for the Future: We talked to users to find out why they stopped playing. Two big problems showed up:

  • Hidden Value: The UI hid the prizes. In product design, if users cannot clearly see the reward upfront, they have no motivation to grind.

  • No Real-World Context: The August event did not match any real-world sports. Players simply did not care about a fake tournament.

The Strategy Pivot: We planned a strategic Live-Ops calendar to perfectly match real-world games, like the Asian Cup and Women's World Cup.

Chapter 1 (Learning)

The Learning Phase


The Product Idea: If we build a big event, players will play.

Before 2025, everything we did was about learning. We launched our first Live-Op (MFL) in May 2024. It matched a real-world sports tournament and was a massive hit, getting over one million runs in a week. But a generic event we launched later in August completely failed.

What We Learned for the Future: We talked to users to find out why they stopped playing. Two big problems showed up:

  • Hidden Value: The UI hid the prizes. In product design, if users cannot clearly see the reward upfront, they have no motivation to grind.

  • No Real-World Context: The August event did not match any real-world sports. Players simply did not care about a fake tournament.

The Strategy Pivot: We planned a strategic Live-Ops calendar to perfectly match real-world games, like the Asian Cup and Women's World Cup.

Chapter 2 (Learning)

System Design & Finding the Churn (May 2025)


We brought MFL back in 2025 with a new economy and a better core game loop to fix past mistakes.

  • Micro-Goals: We gave rewards for small milestones (like 20 runs). Earning coins quickly gave players a happy dopamine hit.

  • Wager System: Players paid an entry fee in coins to play, but could win more back. This was great for monetization.

  • Team Loyalty: Runs helped the player's favorite team win on the leaderboard, building community tribalism.

I'm here to capture your memories

Problem

Engagement and monetization went way up at first. But after 3-4 weeks, the DAU (Daily Active Users) crashed. We looked at the data and found out why players were churning (leaving):

  • Tech Friction: Game bugs made the console experience bad.

  • Unfair System: A few top players ("whales") took all the top spots on the leaderboard. Normal players felt it was unfair and just gave up.

I'm here to capture your memories

Chapter 3 (Execution)

Designing Under Constraints


We had a big business problem. The developers needed to stop building new things to fix the game bugs. Because we had no new events, we saw a 14% drop in active players by September. Old players got bored.

The Design Solution: We needed a new event to make money, but we had strict engineering constraints (we could not code new things to avoid new bugs). I led the product team to "reskin" the old MFL UI. We made the Asian Cup and Women’s Cup.

  • Smart Resource Use: We used the same UI code, which meant zero new bugs and saved dev time.

  • Fresh Look: We added fresh art and highly requested Women Avatars.

  • Targeted UX: We created different user journeys and marketing for VIPs vs. normal users.

Result

It worked fast. We recovered the lost users entirely. We saw a 17% jump in players just by changing the visual design and theme to make it feel fresh

Chapter 4 (Execution)

The Innovation Pivot


In November, we had no events for 2 weeks. We instantly lost 8% of players. This proved our main theory: A gap in content is a gap in revenue.

We built a new, fair system called the Vitality Format to fix the user friction from the unfair leaderboards.

  • Fair Play Design: We limited players to only 5 tries per event. Only the best 3 scores went to the leaderboard. This made it about skill, not just who plays the most hours.

  • The "Nudge": Only the best 3 scores counted toward rankings, incentivizing players to use all attempts (and potentially purchase more) to optimize their leaderboard position.

  • Monetization UX: Players could buy extra tries with coins or real money.

  • Tiered Monetization: A dual-leaderboard system was introduced:

    • Free Tier: Standard entry and rewards.

    • VIP Tier: Access to premium pools, larger rewards, and a "VIP booster" to improve the score.

Having only 5 tries made players care a lot. FOMO (Fear Of Missing Out) was high. Once players turned on the game to use their 5 tries, they stayed longer to play other game modes too.

The Final Business Impact

  • Engagement Growth: The transition to a limited-attempt model actually saw an increase in the total number of games played.

  • Total Active Players: We recovered from a 14% drop to reach a +24% peak surge.

  • Veteran Retention: We boosted the return rate of older players by +30%.

  • Product Evolution: We moved from basic events, to smart UI reskins, and finally to the highly successful Vitality Format.

  • WAU/MAU was ~37%, which increased to ~44% during Phases 1 and 2, while MAU increased by 23% from Phase 1 to Phase 2. This indicates the rise in WAU.

Key Product Lessons


  • Value Must Be Visible: Users will not play or pay if they cannot see the prize. Good product design brings reward UX to the front

  • Content Drives the Core Engine: Live-Ops is the heartbeat of user retention. Without time-bound events, even a bug-free app loses its player base

  • Scarcity Creates Value: Shifting from unlimited play to a "freemium" structure (5 free + 3 paid) turned gameplay from a passive activity into a monetizable resource

  • Community vs. Competition: While community-driven "wins" (MFL) are great for initial engagement, tiered individual leaderboards (Ashes Cup) are superior for driving high-intent monetisation

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