App Rating Optimization Platform

Background

Mobile apps have become the next frontier with the grow of smartphones.

However, with the increased growth comes with increased competition.

Search engines rank apps in the app stores in part on high ratings.

Users will choose an app with favorable user reviews given two apps that does the same thing.

Therefore, having highly positive ratings is paramount to securing App Store Optimization (ASO).

Market Opportunity

Asia represents the most developers and mobile apps in the world

Mobile developer middleware sector represents a big growth opportunity currently underserved.

Current Solution

App developers to guess which interactions yield favorable ratings and then manually test out the hypothesis after a release by monitoring the app rating. Also they have to manually write code to do this.

App developers may pay for fake reviews. Eventually the app stores will figure this out and penalize the app.

No solution that automates the App Rating Optimization (ARO) process until now.

Rating Butler

Rating Butler is a platform to allow developers surface the interactions that users are most likely to give a best review automatically.

Developers just have to define the events a user takes.

Rating Butler will then optimize the app ratings for a mobile app.

System automatically A/B tests which interactions yield the best prompts.

Result = Higher ratings for the app = more visibility and downloads in the app stores.

About the Founder

Technical Software developer turned entrepreneur.

Previous co-founder in company funded by 500 Startups.

Was in Silicon Valley for 6 months for the 500 Startups accerlator program.

Raised 2.3M HKD for previous startup.