TimesPrime: Membership Rewards
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TimesPrime: Membership Rewards

Onboarding teardown for TimesPrime app

Ideal Customer Profile


ICP

ICP 1

ICP 2

ICP Name

Tejasva Singh

Prateek Mehta

Age

23

35

Gender

Male

Male

Marital Status

Single

Married

Kids

No

No

Occupation

Salaried

Salaried

Location

Bangalore

Delhi

Lives with?

Flatmates

Family

Education Level

Graduate

Graduate

Income levels

< 25k per month

> 1L per month

What are they interested in?

Dining, Entertainment, Shopping, Going on dates, Cricket

Dining, Shopping, OTT, Movies, 

Time or Money?

Money

Time

Risk Appetite

High

Medium

Most used apps

Zomato, Bumble, Rapido, Ola, Netflix, Hotstar, Youtube, Discord, Social Media apps

Zomato, Twitter, Netflix, Hotstar, Youtube, Social Media apps, News

How do they spend time?

Office, Malls, OTT, Instagram, Rent

Office, family, outdoor, shopping

What do they spend their money on?

Food ordering, Shopping, OTT, Transport

House repairs, food, shopping, furniture,Travel

What kind of content do they consume

Sports, Bollywood

International TV Shows and Movies

Which features do they use most

Membership Rewards

Membership Rewards, Credit Score check, Credit Card

How frequently do they use these features

At least once in 45 days

Once in 60 days

Willingness to pay

Low

High

Problem statement

Want to find the best deals

Want a premium lifestyle

User Goals and JTBD

Primary

Financial Goal: Create value for money so they get more benefits despite paying lower than market rates for the products offered by TimesPrime

Secondary

Social Goal: Get access to premium lifestyle and better standard of living by getting exclusive access to premium events



Onboarding Teardown

File attached

Onboarding Teardown_ TimesPrime _ Rajkumar Desai GX18.pdf


Activation Metric

Hypothesis 1:

Subscription purchased within 2 weeks of sign up

Reasoning:

Users who show commitment by making a purchase within 14 days of sign up show commitment and perceived value

Metrics to track:

Install to Sign up ratio, Time spent on app, D1 to D7 retention, Time taken on all screens until purchase


Hypothesis 2:

Credit Cards evaluated for purchase in 30 days from sign up

Reasoning:

Evaluating purchase of credit cards is a high commitment action

Metrics to track:

No. of Credit Cards evaluated, D1-D7-D30 retention, PAN Card provided, Time taken for submitting data, application start to end time


Hypothesis 3:

Referral shared in 30 days of sign up

Reasoning:

Free users also get certain benefits from sharing referrals. Users who refer the app to other users see a great value in the product for themselves or others

Metrics to track:

No. of referrals shared, Time spent on app, No. of membership rewards evaluated


Hypothesis 4:

Coupon Code applied in 72 hours of sign up (payment success is optional)

Reasoning:

Users who have come through a specific channel would prefer testing the coupon code as soon as they sign up before eventually deciding to pay

Metrics to track:

No. of Coupon Codes applied per user (before 1 purchase), Install to Sign up Ratio (filtered across channels), Coupon Code rejection rate, No. of Coupon Codes tried per user


Hypothesis 5:

Activated 1 Brand Reward within 7 days of upgrading to premium

Reasoning:

Premium users who activate at least 1 reward could show signs of high intent and perceived value from the product

Metrics to track:

No. of Membership Rewards evaluated since upgrade, TAT for Sign up to Premium, TAT for Code/Link reveal to sign up on partner app



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