OPTIMIZER Predictive Battery Saver App

Personalized

recommendations for

improving battery life

using Deep-learning

techniques!

Personalized recommendations for improving

battery life using Deep-learning technique!

EXECUTIVE

SUMMARY

• Battery drain major headache with

smartphones

• Reason aplenty • Apps draining power

• Improper usage. Ex: Brightness

• Currently existing apps themselves

drain battery

• No scientific solution

• Generic suggestion • “Dim your screen”

• “Shut down all your apps”

• Proposed app uses Deep learning

techniques

• No background running

• Less space occupation

• Predictive scientific modelling

• Modelling done in remote server

with huge data known as big data

• Smartphones are inherent with degrading battery due to the

chemical nature.

• Improper usage and hogs (HIGH Power Consuming Apps) make

it worse

• Proper diagnosis and suggestion needs to be given to users

• Battery saver app itself must not EAT the battery!!

TARGET

MARKET

• All smartphones are basically target customers

• Any paid user of battery saver apps can be accounted for

premium version of this app

• Over 1.6 Billion smartphones to be shipped by 2016

• 330+Million using single battery app alone

• Huge potential!!

Free and premium competitors

Points of parity • Battery optimizing Goal

• Uses markets to install like Google Play

• Can be installed on any smartphone device

Points of difference • Uses scientific approach

involving deep learning

techniques

• Does not run on

background

• Predictive analysis made

through remote servers

• Algorithmic approach

Free version • GPS needed to know about demographics details

• Demography based other app usage information-

Revenue Source

• Revenue generation through info given to other

apps regarding

- Usage

- Popularity in a region

- App status- whether a Battery hog/ good

status

Premium version revenue model Expected User targets

• Targeting 10% smartphone users to use the

app (Approx. 16M)

• Among them converting 1% to premium

(160000 users).

• Doing the math for a year

Users

App

cost

Market charges-

Google play

Hardware

and other

costs (40%)

Total

revenue

160000 $0.99 $25 $63360 $95040

COLLOBORATORS

• Major apps like fb, linkedin

• Analytics players

• Ad agencies

• Markets such as Google Play

Product

Introduce premium version

of the app

Price

Premium version costs $0.99 for a

year of usage

Incentives

Referral programs to upgrade to

premium

Distribution channels

Google Play, App store

TACTICS

I

M

P

L

E

M

E

N

T

A

T

I

O

N

Optimizer

Collaborators

Distribution channels

(Play)

Users

Major apps

like fb, linkedin

Proposed

App

Thank You!

DISCLAIMER

Created by Deeban Babu, IIT Madras, during a

marketing Internship by Prof. Sameer Mathur,

IIM Lucknow.