CCMF Application

1. App Rating Optimization Platform

2. 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).

3. Market Opportunity
 Asia represents the
most developers and
mobile apps in the
world
 Mobile developer
middleware sector
represents a big
growth opportunity
currently
underserved.

4. 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.

5. 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

6. 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.