How Treeplla tripled their review response rate in 3 weeks
- x3 Review response rate
- Client profile:
-
Treeplla focuses on casual tycoon games with the goal of achieving significant results and market share in the global market.
- Industry:
- Casual Tycoon Games
- Products used:
Challenge
- Challenge 1
Before using the automation feature, it was difficult to respond to a large number of reviews due to a busy workload, especially during weekends, national holidays like Seollal and Chuseok, or when reviews surged in various countries.
- Challenge 2
When managing responses manually, similar reviews received similar responses, giving users the impression of ‘copy-paste’ replies, which was problematic.
Solution
- Solution 1 : Efficient Response Management with Automation
Treeplla initially managed all app responses manually through their CS team but implemented AppTweak’s App Reviews Manager’s automation feature.
- Solution 2 : Easy Setup Using AppTweak Templates
Setting up automation initially felt overwhelming, but with the help of AppTweak’s templates, they were able to set up the automation tool with ease. It took 2-3 weeks to complete the setup, but now they manage workloads smoothly and efficiently, even after weekends and holidays.
- Solution 3 : Product Roadmap Improvement Through Topic Analysis
Thanks to AppTweak’s topic analysis feature, Treeplla quickly identified what most users wanted to be improved and what issues were arising.
Results
- Result 1: Over 3x Increase in Review Response Rate in 3 weeks
With the automation feature, one CS team member now manages over 3,000 monthly reviews across more than 5 apps in over 10 countries. After implementing the App Reviews Manager, they saw more than tripled the review response rate in 3 weeks.
- Result 2: More Detailed Automation Settings Using App Reviews Manager
Initially, they added automation settings for one language at a time. Now, they have categorized automation settings further by language, game, platform, and more.
I found the App Reviews Manager beneficial to respond to mass amounts of reviews and also to analyze them for sentiment and topics. Additionally, the team actively provided feedback and suggestions, which was very helpful.