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.
Product Selection Framework
Criteria | Response |
---|---|
Internet first product? | Yes ✅ |
Post PMF? | Yes ✅ |
User Base |
|
Retention? | 62% subscriber retention rate [1] |
Market Leader? | No ❌ US: 2nd biggest streaming service [2] Europe: 3rd biggest streaming service |
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:
"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:
Core Value Prop | Apple Music Subscriber |
---|---|
High quality music |
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Seamless experience |
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Personalised experience |
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Ad-free |
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Listening to Music
Feature | Casual | Core | Power |
---|---|---|---|
Listening to music in form of
| Once or twice per week | Once per day | Multiple times per day |
Listening to playlists:
| Once or twice per week | Once per day | Multiple times per day |
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
| 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 | 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 |
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 ❌ |
|
Breadth |
| No ❌ |
|
Depth |
| 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:
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.
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 :
Before we dig deep into who our ICPs are, let us see what Apple Music users look like - through data:
Age distribution:
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:
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.
Now, let's look at the ICPs in more detail, Apple Music users can be segmented in the following ways:
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 |
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|
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Age | 18-25 | 18-28 | 18-40 | 25-35 |
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 |
| ~ 80K - 1L+ |
Lifestyle ↓ | ||||
Frequently used Apps | Social: → Snapchat → WhatsApp → Amazon → Ajio → Myntra Food delivery & Q-commerce: → Zomato → Swiggy → Blinkit/Zepto OTT & Entertainment: → Netflix → Amazon Prime → YouTube Work & Business: NA | Social: → Snapchat → WhatsApp → Amazon → Ajio → Myntra Food delivery & Q-commerce: → Zomato → Swiggy → Blinkit/Zepto OTT & Entertainment: → Netflix → Amazon Prime → YouTube Work & Business: → Slack → Gmail | Social: → WhatsApp → Amazon → Ajio → Myntra Food delivery & Q-commerce: → Zomato → Swiggy → Blinkit/Zepto OTT & Entertainment: → Amazon Prime → YouTube Work & Business: → Slack → Gmail | Social: → WhatsApp → Amazon → Ajio → Myntra Food delivery & Q-commerce: → Zomato → Swiggy → Blinkit/Zepto OTT & Entertainment: → Netflix → Amazon Prime → YouTube Work & Business: → Slack → 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) |
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What all digital subscriptions do they have? |
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Music Experience ↓ | ||||
How do they listen to music? (Devices) |
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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? |
|
|
| 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? |
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Competition ↓ | ||||
What other apps do they use to listen to music? | NA |
|
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Reason behind using other music streaming apps? | NA | "I like seeing & listening to edits or mixes on you Youtube" | "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? |
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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 |
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User Type | Criteria | ICP Affiliation |
---|---|---|
Casual |
| Primary: ICP 4 Secondary: ICP 3 |
Core |
| Primary: ICP 2 |
Power |
| Primary: ICP 1 (ICP 2 is close to being a Core user and has the potential to be one) |
Information available publicly (as per external sources):
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%.
This shows that around D90, the retention curve stabilises and flattens leading to an overall retention rate of 62%.
Retention data:
Retention Curve:
Factors considered while calculating the above metrics:
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% |
The ICP 1 and ICP 3 would drive the best retention.
Why ICP 1?
Why ICP 3?
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 |
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 | 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 |
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|
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Content/Pitch | Hook: Don't wait! | Hook: Don't miss out! | Hook: 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 |
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Targeted ICPs: ICP 4
Pain Points:
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 |
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Channel |
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Campaign Pitch/Content | Hook: Click here to start listening! | Hook: What are you waiting for? Start listening now! |
Frequency | Once a week | Push notification: Once a week In-app: Once in a fortnight |
Timing |
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Success Metrics | NSM:
P1 Metrics:
| NSM:
P1 Metrics:
P2 Metrics:
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Targeted ICPs: ICP 3
Pain Points:
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 |
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Channel |
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Campaign Pitch/Content | Hook: Clicked here to start listening! | Hook: Watch now! |
Frequency | 2x in a week | Once per week |
Timing |
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Success Metrics | NSM:
P1 Metrics:
P2 Metrics:
| NSM:
P1 Metrics:
P2 Metrics:
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Targeted ICPs: ICP 2
Pain Points:
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 |
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Channel |
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Campaign Pitch/Content | Hook: Shake it off is going viral 💃 | Hook: |
Frequency | Once per week | 2x in a week |
Timing |
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Success Metrics | NSM:
P1 Metrics:
P2 Metrics:
| NSM:
P1 Metrics:
P2 Metrics:
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Targeted ICPs: ICP 1
Campaign 6 | |
---|---|
Goal | Increase no. of shares per user |
Target Segment | ICP 4 |
Offer |
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Channel |
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Campaign Pitch/Content | Hook: |
Frequency | Once in a month |
Timing |
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Success Metrics | NSM:
P1 Metrics:
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