Engagement & Retention project | Apple Music
📄

Engagement & Retention project | Apple Music

Understand Your Product

What is Apple Music, in brief? 🎵

For Consumers (Listeners): Apple Music - Over 100 million songs.

Apple Music is the ultimate music streaming platform where users get unlimited access to 100 million songs, thousands of curated playlists, and original content from their favourite artists – all ad-free.

For Artists: Apple Music - The home for artists

Apple Music for Artists is the official app that empowers artists with insights to help build their audience and reach new fans.


For the scope of this project. I will primary be focusing only on Apple Music app, that is for consumers (listeners) and not the one that is for artists. Last year, Apple also released Apple Music Classical, we won't be focusing on that too for this project.


Why choose Apple Music? 🤔

Product Selection Framework

Criteria

Response

Internet first product?

Yes ✅

Post PMF?

Yes ✅

User Base

  • Worldwide: 93 million subscribers (2023)
  • India: 200K subscribers (2023)*

Retention?

62% subscriber retention rate [1]

Market Leader?

No ❌

US: 2nd biggest streaming service [2]

Europe: 3rd biggest streaming service
India: 4th biggest streaming service* [3]

Revenue

$9.2 billion (2023)

*As of Aug 2024, Airtel Wynk has shutdown and all Wynk premium users will be offered Apple Music subscription for free i.e potentially adding more 500K users resulting in Apple Music becoming 3rd biggest streaming service in India with a total of 700K subscribers.


It is clear that Apple Music is promising and a well loved product, more than half of it's subscribers never leave the app but there's still a lot of improvement. Especially in India and also I will be focusing mainly on Apple Music India:

  • As an app that is growing YoY and especially in India there will be a huge spike in growth after shutdown of Wynk, it is essential for Apple Music to have a strong retention rate.
  • On top of that India accounts for 14% of global audio and video streaming and bagging the position of world's 2nd largest streaming market. [4]
  • India's streaming market is at a 81% YoY growth
  • iPhone sales in India are rising constantly, in 2023 Apple's revenue from India grew 42% to $8.7bn [5]. This directly correlates to increase in Apple Music's Revenue and every new iPhone user gets a free trial for Apple Music

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Let's understand Apple Music in detail 🎯


  1. What is the core value prop of Apple Music?

"Apple Music delivers a high quality, seamless and personalised music experience, all ad-free."


Let's understand the 'why' behind each adjective used in the CVP:

  1. High quality music:
    • All music listeners want to listen to good high-quality music, Apple Music promises them this with Spatial Audio and lossless audio. This is something that differentiates Apple Music from other competitors, even Spotify the biggest competitor of Apple Music still don't offer these features.[6]
    • Apple also has an advantage over other companies as it can provide an end to end experience for music listening i.e the Apple AirPods (entire series) are optimised to work better with Apple Music and provide a better sound quality.
  1. Seamless experience:
    • No one can beat Apple at their own ecosystem, Apple Music listeners will always have a seamless experience of listening to music on any of their Apple devices, all synced in.
      • Going for a run with your Apple Watch? Same Apple Music.
      • Sitting to work on your Macbook? Same Apple Music.
      • Having a party and using HomePod? Hey Siri, open Apple Music.
    • On top of this, Apple Music offers 100M+ songs, user can listen to any artist of their choice - online and offline, both ways.
  1. Personalised experience:
    • Apple Music aims to provide a personalised experience to each user, as it can be seen on their app:
      • 'Top Picks for You'
      • 'Made for You'
      • 'Stations for You'
      • 'Find Your Mood'
      • 'New Releases for You'
      • 'Replay: Your Top Songs by Year'
      • 'Shared with You'
    • On top of this, Apple Music bets big on geographical level personalisation through country wise and city wise curations.
  1. Ad-free:
    • Apple Music wants to clearly convey to the user that their experience will never be interrupted by ads, maintaining Apple's premium branding. This is different from freemium model used by a lot of competitors.


  1. How do users currently experience that core value prop repeatedly?


Core Value Prop

Apple Music Subscriber

High quality music

  • Listening to music with spatial audio (dolby sound) or lossless audio when they listen to {songs, playlists, albums, radios}
  • Optimised audio for apple devices - AirPods series
  • Offering live shows and exclusive content to flagship albums

Seamless experience

  • Users can start a song on one Apple device and then continue on another one
  • All of user's playlists, saved libraries, saved albums, saved songs are synced across all devices
  • Users can downloads songs too
  • Use Siri to play music from the app

Personalised experience

  • Apple Music curates different playlists on basis of user's artists preferences, based on moods, geographical locations
  • Users can see all the songs shared by their friends on the Apple Music app

Ad-free

  • Apple Music runs on a subscription based model, users can only use it by being a subscriber. It's not a freemium model.
  • Subscription plans available:
  • 1. Student (₹59/month)
  • 2. Individual (₹119/month)
  • 3. Family (₹179/month)
  • 4. Three months free membership with selective Apple devices
  • 5. Apple One Subscription (Individual - ₹195/month & Family - ₹365/month)
  1. What is the natural frequency of Apple Music's core product?

Listening to Music

Feature

Casual

Core

Power

Listening to music in form of

  1. Singles
  2. Albums

Once or twice per week

Once per day

Multiple times per day

Listening to playlists:

  1. Listening to personalised curated playlists (Eg: 'Favourites Mix')
  2. Listening to generic playlists (Eg: 'Drake Essentials')
  3. Listening to their own made playlists
  4. Listening to other user made playlists

Once or twice per week

Once per day

Multiple times per day

  1. Does Apple Music have other sub-products? What is their natural frequency like?


Feature

Casual

Core

Power

Creating playlists

Never / Once during their entire subscription

Once in a couple of months

Once in a month

Listening to radio

  1. Listening to live radio (Eg: 'The Apple Music 1 List')
  2. Listening to personalised curated radio (Eg: 'Shreyan's Station')

Never / Never heard of

Never / Once per year

Once in a couple of months

Watch interviews

Never / Never heard of

Never / Once per year

Once/Twice in a year

Add music to library (music includes songs, albums & playlists)

Once/Twice in a month

Once/Twice in a week

Once/Twice in a week

Favourite a single/artist/album/playlist

Once/Twice in a month

Once per weekly/bi-weekly

Once per weekly/bi-weekly

Download music (music includes songs, albums & playlists)

Once in a month AND also depends on need

Once per weekly/bi-weekly AND also depends on need

Once per weekly/bi-weekly AND also depends on need

Using Apple Music Sing
(a feature where users can sing along to a song)

Never / Once during their entire subscription

Once in a couple of months

Once in a couple of months

Watch/Listen to Live Music

Depends

Depends

Depends

Using SharePlay or sharing music with friends/family

Once in a couple of months

Once in a month

Once per weekly/bi-weekly

Using Siri to play music

Once in a couple of months

Once in a couple of months

Once/Twice in a month

  1. What is the best engagement framework for Apple Music?

Depth - Time

Why not Frequency or Breadth?

Engagement Framework

Metric(s) to be tracked

Selected

Reasoning

Frequency

Avg. no. of sessions per user per week

No ❌

  • Only measuring no. of sessions would not help Apple Music in any way because it directly does not impact retention.
  • Only no. of sessions would also not help improve the core value prop for the user
  • Eg: If a user opens the app 5 times in a day but only opens it for 2 seconds, this user won't be able to experience core value prop of the app.

Breadth

  1. Top used features in Apple Music
  2. Avg. no. of features used per user

No ❌

  • No. of features used by a user is not a leading factor for whether user is able to get the job done of listening to music easily or not, whether they will retain etc.
  • Although, a user trying out multiple features/sub-products on a regular basis has a direct correlation with a user who has an higher than avg. session duration.

Depth

  1. Avg. session duration
  2. Avg. no. of sessions per user per week

Yes ✅

Reasoning given below ↓

Why Depth?

If a user spends more time on the app (session duration) AND uses the app more times (no. of sessions) then Apple Music will be able to give them a better experience:

  • More personalised recommendations: The more time a user spends on the app, the more Apple Music would learn about their listening habits and the better curations they'll be able to make
  • Higher engagement of users will attract more artists to produce exclusive content for Apple Music
    • Also, the more users listen to an artist the more they'll earn the more create new music, thus creating a loop
  • Users will be able to discover new artists and new music of their liking if they spend more time on the app
  • Higher session duration will lead to user sharing more songs with their friends which would then potentially help with new user acquisition


Note: When we're optimising for avg. session duration in depth framework for Apple Music, we should not just focus on user using the app actively, we should also optimise for user using the app in background.


  1. What makes someone an active user of Apple Music? What is their natural frequency?

For Apple Music, an active user is a user who uses the app on a regular basis (could be daily, weekly or even monthly) and has an average session duration >= 10 minutes.

Why this?

Any user who comes back to the app on a time to time basis signifies they find value from the app and avg. session duration >=10 minutes shows that they don't just come back to the app for the sake of it, they're able to fulfil their need of listening to music. (Assuming, avg. song length being~ 3 min, they listen to 2-3+ songs on an average.)

Natural Frequency :

    • Casual - Once or twice per week
    • Core - Once a day
    • Power - Multiple times in a day







Customer Segmentation

Who uses Apple Music? 🤔

Before we dig deep into who our ICPs are, let us see what Apple Music users look like - through data:

Age distribution:

  • 18-24 years: 17%
  • 25-34 years: 23%
  • 35-44 years: 22%
  • 45-54 years: 15%
  • 55+ years: 23%

Interestingly, Apple Music shows equal popularity among young adults (25-34) and older users (55+). Although, a lot of the older users could be an intersection between Apple Music core app and Apple Music Classical and the cross-sell of Apple Music through sale of Apple devices could also be a reason for this.


Gender Distribution:

  • Male: 52%
  • Female: 48%

This shows that there's an equal distribution among both the genders.


The user interviews for this project were mainly done for the age group of (18-24 years) and (25-32 years), with a 60:40 ratio of male:female users. Also, keep in mind that the ICPs have been created while keeping the scope to India only.


Let's segment these users 👤

Now, let's look at the ICPs in more detail, Apple Music users can be segmented in the following ways:

  1. Persona based segmentation
  2. Usage based segmentation - Casual/Core/Power

1. Persona based Segmentation

Criteria

ICP 1

ICP 2

ICP 3

ICP 4

ICP Name

'East or west, Aujla is the best'

'What's the song from that reel?'

'Swifties and Kay Kay fans Assemble!'

'Kabhi kabhi Aditi..'

Brief Description

  • Only likes listening to punjabi, hindi songs and sometimes DHH too.
  • Music is always a background thing - listening to it while driving/workout/working etc.
  • Discovers music from Instagram reels
  • Always listening to the top charts
  • Die hard fans of an artist, they know what they like and what they want to listen to and they stick to that genre/artist/album.
  • According to them, bollywood music was at it's peak in the 00's and 10's
  • Like listening to music only when there's a mood for it, don't like to overdo it.

Age

18-25
(not an important factor, could change too)

18-28
(not an important factor, could change too)

18-40
(not an important factor, could change too)

25-35
(not an important factor, could change too)

Gender

All genders

All genders

All genders

All genders

Marital Status

Single

Single

Married or Single

Married

City

Tier 1

Tier 1

Tier 1

Tier 1

Monthly Income

Dependent on family income

~ 60K - 1L

  • ~ 1L+ or
  • Dependent on family income

~ 80K - 1L+

Lifestyle ↓





Frequently used Apps

Social:

Instagram

Snapchat

WhatsApp
Shopping:

Amazon

Ajio

Myntra

Food delivery & Q-commerce:

Zomato

Swiggy

Blinkit/Zepto

OTT & Entertainment:

Netflix

Amazon Prime

YouTube

Work & Business:

NA


Social:

Instagram

Snapchat

WhatsApp
Shopping:

Amazon

Ajio

Myntra

Food delivery & Q-commerce:

Zomato

Swiggy

Blinkit/Zepto

OTT & Entertainment:

Netflix

Amazon Prime

YouTube

Work & Business:

Slack

LinkedIn

Gmail

Social:

Instagram

Twitter

WhatsApp
Shopping:

Amazon

Ajio

Myntra

Food delivery & Q-commerce:

Zomato

Swiggy

Blinkit/Zepto

OTT & Entertainment:

Amazon Prime

YouTube

Work & Business:

Slack

LinkedIn

Gmail

Social:

Instagram

Twitter

WhatsApp
Shopping:

Amazon

Ajio

Myntra

Food delivery & Q-commerce:

Zomato

Swiggy

Blinkit/Zepto

OTT & Entertainment:

Netflix

Amazon Prime

YouTube

Work & Business:

Slack

LinkedIn

Gmail

Android or iPhone?

iPhone

Android

iPhone

iPhone

What all Apple devices do they own? (except iPhone)

Airpods

Macbook, Airpods

NA

Macbook

Hobbies

Working out, Going on drives, Sports

Watching movies, listening to music, attending concerts & events

Cooking, spending time with family, going out to new places

Eating good food, spending time with family, traveling

Money spending habits (excluding necessities like EMI or commute)

  • Gym memberships + supplements
  • Eating out & ordering food
  • Eating out & ordering food
  • Subscriptions
  • Movies, events & concerts
  • Going out with family
  • Ordering stuff from online
  • Eating out and ordering food
  • Subscriptions

What all digital subscriptions do they have?

  • Apple Music
  • Youtube Premium
  • Netflix
  • Amazon Prime
  • Apple Music
  • Zomato gold
  • Netflix
  • Amazon Prime
  • Apple Music
  • Amazon Prime
  • Apple Music
  • Swiggy One
  • Netflix
  • LinkedIn Pro

Music Experience ↓





How do they listen to music? (Devices)

  • Car speakers
  • Airpods
  • Airpods
  • Earphones/Headphones
  • Bluetooth portable speaker
  • Car speakers
  • Earphones

What do they typically do while listening to music?

Working out, driving, studying

Working, just listening to music

Working, cooking, just listening to music

Driving

How do they discover new music?

  • Through friends
  • Through social media
  • Through Apple Music
  • Through social media
  • Through Apple Music
  • Through Spotify
  • Through social media

Mostly don't listen to new music except through new movie or through friends

Do they create playlists or listen to playlists curated by Apple Music or other users?

  • Create their own playlists
  • Listen to Apple's playlists
  • Create their own playlists
  • Listen to Apple's playlists
  • They find difficulty in finding other users' playlists
  • Listen to Apple's playlists
  • They find difficulty in finding other users' playlists
  • Listen to Apple's playlists

Competition





What other apps do they use to listen to music?

NA

  • Youtube
  • Spotify
  • Youtube (to watch video of a song)
  • Spotify (has more artist level playlists)
  • Spotify (for podcasts)

Reason behind using other music streaming apps?

NA

"I like seeing & listening to edits or mixes on you Youtube"
"Sometimes, I like to listen to lo-fi versions of my favourite songs"
"Spotify's 'New Music Friday' & 'Release Radar' is great and on top of that I can discover new music through short form videos"

"I like watching song videos that are posted by artists"

"I like to see video compilations/edits of my favourite artist"

"Spotify has more user generated playlists, a lot of users have already created artist level playlist for a specific mood or vibe"

"While commuting to/from work, I like to listen to podcasts"*


*user was not aware of Apple Podcasts app

What is their primary app: Apple Music or competitor app?

NA

Apple Music

Apple Music

It changes; sometimes it's Apple Music and sometimes it's Spotify if they find good podcasts

Apple Music Specific ↓





Did they start using Apple Music because of free month offer with an Apple device?

Yes

Yes

No

Yes

What type of subscription do they have?

Student Plan

Individual Plan

Individual or Family Plan

Apple One Subscription

GMV contribution

Low

Medium

Medium / High

High

What do they love about Apple Music?

  • Even though it's not an Indian app, focus on punjabi music is high - good playlists
  • They can download music for gym
  • Curated playlists
  • High quality music because of airpods compatibility
  • Easy to use, simple clutter free UI
  • Access to exclusive interviews of their favourite artists
  • Curated playlists
  • Easy to use, gets the job done easily

Frequency of usage

1-2x per day, sometimes more

1-2x per day

1-2x per week

1-2x per week

Major pain points

NA

  • Lack of other users' generated playlists
  • No trending mixes or lo-fi versions of songs available
  • Very selective artist level playlists
  • No podcasts on the app
  • No/Minimal integration between Apple Music app and Apple Podcasts app

2. Usage based Segmentation - Casual/Core/Power

User Type

Criteria

ICP Affiliation

Casual

  • Uses app at least once in a week
  • Avg. session duration >= 10 mins
  • Has played song(s) from 1 or more curated playlists OR has favourited any track/album/playlist or added them to library

Primary: ICP 4

Secondary: ICP 3

Core

  • Uses app on a daily basis
  • Avg. session duration >= 15-20 mins
  • Has played song(s) from 1 or more curated playlists OR has favourited any track/album/playlist or added them to library
  • Has shared music with friends or done SharePlay

Primary: ICP 2
Secondary: ICP 3

(ICP 3 is close to being a Core user and has the potential to be one)

Power

  • Uses app multiple times in a day
  • Avg. session duration >=20 mins
  • Has played song(s) from 1 or more curated playlists OR has favourited any track/album/playlist or added them to library
  • Has shared music with friends or done SharePlay
  • Has used Apple Sing feature, watched a live show

Primary: ICP 1
Secondary: ICP 2


(ICP 2 is close to being a Core user and has the potential to be one)


















Retention design

Step 1→ Understand

Bird's eye View

Information available publicly (as per external sources):

  • Total Subscribers of Apple Music: 93 Million
  • Overall Retention Rate: 62%

Let's recall something, the definition for an active user of Apple Music was: "A user who uses the app on a regular basis (could be daily, weekly or even monthly) and has an average session duration >= 10 minutes."

Therefore, total active users would be: ~80% of Total Subscribers = 0.8*93 million = 74.4 million users


On the basis of the data available to us, industry standards and competitor data, we'll be calculating other important metrics for Apple Music:

In the data available online, it is not mentioned what's the time range for 'Overall retention rate' but we'll assume it refers to long-term subscribers (either 6 months or 1 year). This is because Spotify's overall retention rate (i.e 1 year) is around ~ 75-80%. Also, annualised churn rate of Spotify is 30.9%.


  1. Daily Active Users (DAU):
    • Assumption: Industry standard DAU/MAU (Stickiness ratio) is around ~ 20-30%, Spotify being the app's biggest competitor releases similar engagement data. We'll be assuming a stickiness ratio of 25% for Apple Music.
    • Calculation:
      • MAU = ~70-75% of total active users = 0.7 * 74.4 million = 52.08 million {We can assume that 70% of active subscribers would be MAU as they're paying for the subscription and we've factored in churn, inactiveness and industry standard}
      • DAU = MAU * Stickiness Ratio
      • DAU = 52.08 * 0.25 = 13.02 million users
  1. Monthly Active Users (MAU):
    • As we discussed in previous step, MAU = ~70-75% of total active users = 0.7 * 74.4 million = 52.08 million
  1. D0 Retention:
    • D0 retention would be = 100%
  1. D7 Retention:
    • As per industry data, D7 retention is around = ~90-95%
  1. D30 Retention:
    • D30 retention would be around = ~75-80% (this is comparable to Spotify's D30 data)
  1. D60 Retention:
    • D60 retention would be around = ~65-70%
  1. D90 Retention:
    • D90 retention would be around = ~60-65%


This shows that around D90, the retention curve stabilises and flattens leading to an overall retention rate of 62%.

Retention data:

Screenshot 2024-12-21 at 3.47.14 PM.png

Retention Curve:

image.png
Factors considered while calculating the above metrics:

  1. Most users when buy a monthly subscription, in a highly engaging app like a music streaming app the biggest drop-off takes place after the 1st month i.e D30.
  2. All the calculations have been done while keeping the definition of 'Active user' in mind.
  3. All the calculations are according to industry standard data while being less than Spotify's metrics because it has been observed that Spotify reportedly has a better retention rate than Apple Music.


Summary:

KPI

Users

Percentage

Total Subscribers

93 million

100%

Total Active Users

74.4 million

80%

DAU

13.02 million

14%

MAU

52.08 million

56%

D0

74.4 million

100%

D7

70.86 million

95%

D30

58.03 million

78%

D60

52.08 million

70%

Microscopic View
  1. Which ICPs drive the best retention?

The ICP 1 and ICP 3 would drive the best retention.

Why ICP 1?

    • These users are power users of Apple Music without any major pain points
    • When we look at competitor's (Spotify) retention data, Student plan has a pretty strong retention rate.
    • ICP 1 has multiple use cases, they have a good average session duration and they use a lot of features.

Why ICP 3?

    • These type of users have the Family Plan, again as per competitor's (Spotify) retention data Family plan has one of the highest retention rate.
    • In a family plan, churning off is a difficult decision as there are multiple stakeholders.
  1. What channels drive the best retention?
    • Apple ecosystem - Difficult for users to churn off when they're part of a whole system and each product become better value wise when used with other products
  1. What sub-features or sub-products drive the best retention?
    • Spatial audio and lossless audio
    • Personalised playlists
    • Download music
    • Exclusive live events, interviews & content


Step 2→ Define

Reasons for Churn

Reason

Category

Alternative Music Service subscription available at a cheaper price

Voluntary

Disliked recommendation system

Voluntary

New music discovery found difficult

Voluntary

Did not like the personalised playlists

Voluntary

Glitches and app issues like downloaded music got removed automatically

Voluntary

Didn't find value for price

Voluntary

Not eligible for Student plan anymore so discontinued

Involuntary

Family decided to unsubscribe

Involuntary

Negative Actions
  • Decrease in frequency of app usage
  • Decrease in avg. session duration or avg. listening time
  • Giving low rating/review
  • Checking out the unsubscribe flow
  • Mute notifications from the app
  • Remove widget from Home Screen
  • Removes supporting apps access (eg: PS5)
  • Decrease in downloads (only if there were a constant no. of downloads per week before)





























Design resurrection campaigns

Resurrection Campaigns: 🧟


Campaign

Campaign 1

Campaign 2

Campaign 3

Targeted ICP

Generic (relevant to all segments)

ICP 2

ICP 1 (student specific)

Context

User has not been active since 2-3 weeks
(active refers to that they did not have a session >=10 minutes)

User's frequency has dropped from 'Once per day' to 'Once per week'

User has become ineligible for Student Plan and this is their last month of that plan. It's not a sure thing that they'll churn off after this but there's a possibility and they're a power user so better to be cautious

Goal

Re-engage user with Apple Music.

Don't let the user fall into the casual bucket since they're a core user

Keep the user active as they're a power user

Offer

  • Playlist with all of their top played songs
  • Share previous month's Monthly Recapped (if user has been an Apple Music user > 1 month)
  • Playlist of their top played artist
  • Playlist with all of their top played songs
  • Share previous month's Monthly Recapped (if user has been an Apple Music user > 1 month)
  • One month free extension

Content/Pitch

Hook:
You listened to 50 artists last month 🫨
Main content:
Watch your last month's Recap now.
CTA:

Don't wait!

Hook:
Travis Scott misses you 🥺
Main content:
Listen to your favourites by La Flame
CTA:

Don't miss out!

Hook:
Surprise gift for you 🎁
Main content:
You've got a free one month extension on your subscription
CTA:

Don't stop listening to music!

Channel

Push Notification

Push notification & In-app banner

Push notification

Frequency

1x per week, if user does not get active again then send a different 2nd notification

1x per week, if user does not get active again then send a different 2nd notification

1x per week

Timing

Based on best time for notifications based on user's previous interaction data

Based on best time for notifications based on user's previous interaction data

Based on best time for notifications based on user's previous interaction data

Success Metrics

  • Avg. session duration
  • No. of sessions
  • Avg. session duration
  • No. of sessions
  • ARPU after extension ends






Product hook and engagement campaigns

Engagement Campaigns 📝

1. Campaigns for Casual Users

Targeted ICPs: ICP 4

  • These users use the app at least once in a week
  • They at least spend 10 mins on the platform

Pain Points:

  • They have to use other competitor apps to listen to podcasts
  • Lack of awareness about Apple Podcasts
  • No/Minimal integration between Apple Music and Apple Podcasts app


Campaign 1

Campaign 2

Goal

Increasing no. of sessions

Increasing avg. session duration

Supporting Goal

Improving discovery of podcasts through Apple Music

Improving discovery of podcasts through Apple Music

Target Segment

ICP 4

ICP 4

Offer

  • New podcasts from the podcasters they listen to
  • Podcasts recommendations
  • Podcasts recommendations based on their music listening history (whenever applicable and possible)
  • Best moments from the podcasters they listen to
  • Trending podcasts
  • Podcasts recommendations based on their music listening history (whenever applicable and possible)

Channel

  • Push Notifications
  • Email
  • Push Notifications
  • In-app notification/banner
  • In-app section on Home Screen

Campaign Pitch/Content

Hook:
Did you know this? 👀
Main content:
Joe Rogan just released a new episode featuring Elon Musk
CTA:

Click here to start listening!

Hook:
What did Arjit Singh do in his 11th grade? 😶
Main content:
Listen to him talk about his childhood on The Bollywood podcast
CTA:

What are you waiting for? Start listening now!

Frequency

Once a week

Push notification: Once a week

In-app: Once in a fortnight

Timing

  • 1-2 hours before peak travel time
  • Alternatively, look at data and figure out best time for notifications
  • 4 hours after a user has listened to their favourite artist [Maintaining basic timing logic i.e night time avoided]
  • 1-2 hours before peak travel time
  • Alternatively, look at data and figure out best time for notifications

Success Metrics

NSM:

  • Avg. no. of sessions (should increase, if campaign works)

P1 Metrics:

  • 1. CTR from Apple Music podcasts recommendations to Apple Podcasts app
  • 2. CTR of push notifications

NSM:

  • Avg. session duration (should increase, if campaign works)

P1 Metrics:

  • 1. CTR from Apple Music podcasts recommendations to Apple Podcasts app
  • 2. CTR of push notifications
  • 3. CTR of in-app notifications/banner
  • 4. Avg. view duration

P2 Metrics:

  • % of users viewing the Podcasts section on Home Screen

2. Campaigns for Potential Core Users

Targeted ICPs: ICP 3

  • Uses app at least once a week, sometimes more
  • They at least spend 10 mins on the platform
  • These users have the potential for Casual Core

Pain Points:

  • Not enough artists related playlists except the generic ones like Artist's Essentials
  • Discovery of user created playlists is difficult
  • Have to use other platforms to watch music videos


Campaign 3

Campaign 4

Goal

Increasing no. of sessions while maintaining the avg. session duration as the same

Increasing avg. session duration

Supporting Goal

Improving discovery of user created playlists

Improving discovery of music videos

Target Segment

ICP 3

ICP 3

Offer

  • Recommendations for user created playlists
  • Recommendations for their favourite artist's playlists
  • Making discovery for Music videos easier

Channel

  • Push Notifications
  • In-app section on Home Screen
  • Push Notifications
  • In-app section on Home Screen

Campaign Pitch/Content

Hook:
It's a drake type vibe tonight 🦉
Main content:
Listen to this playlist and feel the sad boy vibes with the 6 god
CTA:

Clicked here to start listening!

Hook:
Bieber spent a million on this video 💸
Main content:
Show your love for your favourite artist and watch their music videos
CTA:

Watch now!

Frequency

2x in a week

Once per week

Timing

  • Look at data and figure out best time for notifications
  • Preferably, at 6-8 pm or 9-10 pm
  • Look at data and figure out best time for notifications
  • Preferably, 12-2 pm or 4-6 pm

Success Metrics

NSM:

  • No. of sessions (should increase, if campaign works)

P1 Metrics:

  • 1. # of listens for that playlist
  • 2. CTR of push notifications
  • 3. CTR of in-app notifications/banner
  • 4. Avg. session duration

P2 Metrics:

  • # of favourites for that playlist

NSM:

  • Avg. session duration (should increase, if campaign works)

P1 Metrics:

  • 1. # of views for that video
  • 2. Avg. view duration
  • 2. CTR of push notifications
  • 3. CTR of in-app notifications/banner

P2 Metrics:

  • # of favourites for that playlist

3. Campaigns for Core Users

Targeted ICPs: ICP 2

  • Uses app at least once per day
  • They at least spend 10-15 mins on the platform
  • They have the potential for Core Power

Pain Points:

  • New music discovery is not that good or beneficial
  • Discovery of user created playlists is difficult
  • Have to use other platforms to watch music edits/mixes


Campaign 4

Campaign 5

Goal

Increasing avg. session duration

Increasing no. of sessions while maintaining the avg. session duration as the same

Supporting Goal

Improving new music discovery

Improving discovery of user created playlists

Target Segment

ICP 2

ICP 2

Offer

  • Better new music playlists tailored for user's preferences
  • Keep the user update with the latest trending music
  • Recommendations for user created playlists
  • Recommendations for mood mixes

Channel

  • Push Notifications
  • Push Notifications
  • In-app section on Home Screen

Campaign Pitch/Content

Hook:

Shake it off is going viral 💃
Main content:
Listen to all the newest trending songs right here
CTA:
Start listening now!

Hook:
This Arjit Singh lofi playlist is what you need 🎧
Main content:
Listen to all your favourite tracks by Arjit in lofi
CTA:
Sit back and chill!

Frequency

Once per week

2x in a week

Timing

  • Look at data and figure out best time for notifications
  • Preferably, at 10am - 12 pm
  • Look at data and figure out best time for notifications
  • Preferably, at 6-8 pm or 9-10 pm

Success Metrics

NSM:

  • Avg. session duration (should increase, if campaign works)

P1 Metrics:

  • 1. # of listens for that playlist
  • 2. CTR of push notifications
  • 4. No. of sessions

P2 Metrics:

  • # of favourites for that playlist

NSM:

  • No. of sessions (should increase, if campaign works)

P1 Metrics:

  • 1. # of listens for that playlist
  • 2. CTR of push notifications
  • 3. CTR of in-app notifications/banner
  • 4. Avg. session duration

P2 Metrics:

  • # of favourites for that playlist

4. Campaign for Power Users

Targeted ICPs: ICP 1

  • Uses app at least once per day, usually multiple times
  • They at least spend 15-20 mins on the platform
  • They discover music through friends and they don't have any major pain points these users should be prompted to share more songs to more friends


Campaign 6

Goal

Increase no. of shares per user
OR
Increase no. of SharePlay sessions per user

Target Segment

ICP 4

Offer

  • Provide a social aspect to music listening
  • Ability to let multiple people play music in a car/party

Channel

  • In-app Notification / Pop-up Banner

Campaign Pitch/Content

Hook:
Why should only the driver control the music? 🚗
Main content:
Use SharePlay with friends and play whatever you want
CTA:
Vroom Vroom..

Frequency

Once in a month

Timing

  • During peak travel time
  • Alternatively, look at data and figure out best time for notifications

Success Metrics

NSM:

  • No. of shares per user OR No. of SharePlay sessions per user

P1 Metrics:

  • 1. Avg. session duration
  • 2. CTR of push notifications
  • 4. % of users who open the app from shared link




















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