Transforms the key insights of nonfiction books into explainers you can read or listen to in 15 min
One of my New Year's resolutions this year was to start reading books. Like any other resolution, it started great. I read 2 books in the first two months, but by March, life took over and I couldn't make time for reading in my everyday schedule. I started my third book with high hopes of finishing it, but since I could only spare about 30 minutes every day, by the time I could finish a book, I would lose interest halfway or end up completely forgetting about it. When I got back to it, I would not remember a thing about what I had read. Feeling frustrated, there went my resolution... down the drain.
Giving up on the idea of reading, I moved on with my life as usual until one day, a friend of mine told me about a new book he read on Blinkist. 'Blinkist?' I asked. He told me about it, and that's when, ladies and gentlemen, a reader in me was born, and there was no looking back. Blinkist summarized 5000+ bestselling non-fiction books and podcasts that I could read or listen to and complete in just 15 minutes! I could literally finish a book on my commute from work or just before going to bed. Since they were short, it was very easy to digest the information and remember it. And I was back on track with my resolution!
Blinkist enables users to get the key insights of any nonfiction book in just 15 min! Perfect for curious people who love to learn, busy individuals who don’t get the time to read, and even people who aren’t into reading.
More knowledge in less time
Status | Description |
---|---|
Internet first product | Yes |
PMF reached | Yes |
Revenue statistics | $40.5M anually |
Funding | $35M |
Usage frequency | Medium |
Familiarity | Medium |
Willingess to pay | Medium |
Brag worthy | Reading a book now only takes 15min, the ability to read a lot of books in a short span |
ICP | ICP 1: Prashanth | ICP 2: Deepanshu | ICP 3: Sushmitha | ICP 4: Manish | ICP 5: Rithika |
---|---|---|---|---|---|
Demographics | |||||
Age | 32 | 25 | 27 | 35 | 23 |
Gender | Male | Male | Female | Male | Female |
Location | Bangalore | Delhi | Bangalore | Chennai | Bangalore |
Marital status | Married | Single | Married | Married | Single |
Employment status | Employed | Employed & Founder | Employed | Self employed | Employed |
Income range | 55-65 LPA | 20-40 LPA | 10-20 LPA | 40-60 LPA | 3-5 LPA |
Hobbies | Netflix, learning, music | Gym, boxing, reading, flute | Gym, dance, hanging out with friends | YouTube, business learning | Videos, Instagram, Gym |
Most used apps | Uber/Ola, Swiggy, Whatsapp, GPay | Airbnb, MakeMyTrip, Deepstash, amazon, uber, reddit, slack, skype, zoom | Instagram, LinkedIn, Mail, YouTube | YouTube, Video editing apps, uber | Instagram, Snapchat, Mail |
Content preference | Tech learning (YouTube, Medium, blogs) | Science, tech, psychology | Fashion, entertainment, marketing | Video making, tech | Skincare, Lifestyle |
Money vs Time | 60% money, 40% time | Time > Money | Money > Time | Time > Money | Money > Time |
Time spending habits | Work, home operations | Startup, job | Work, house operations | Work, gym | Work, hanging out with friends |
Money spending habits | Food, rent, entertainment | Diet, travelling | Rent, cosmetics, food | Travel, business | Skincare, clothes |
Books | |||||
How often do they read | Doesn't read | Doesn't read | Doesn't read | Reads, not consistently | Used to read |
Why not? | No time, costly, low attention span | No time | No time, can't read for long | No time, too busy | No time |
Current solution | Videos, quick articles, talking to peers | Deepstash, ThoughtCo | Video content | Podcasts | Nothing |
Blinkist | |||||
Why Blinkist? How often do they use? | Full digest of the book in 15 min, once a month | Short blinks, every three days | Short content, once a week | Short reads, audios, alternate days | 15 min audio books, twice a week |
What made them signup? How long? | Good collection of books, immediately (free version) | Strong recommendation, immediately | Availability of known books, within a week | Quality content, immediately | Convenience, within two weeks |
Channel of communication that helped the decision | WOM | WOM | WOM | Paid channel | WOM |
Brag worthy feature | 15 min read, voice quality | Smooth onboarding, good recommendations | 15 min read | Good details | 15 min audios |
Aha moment | Covers every detail of the book | Apt recommendations | After completing a blink | After completing a blink | Recommendations, variety of options to choose from |
Would they retain? | Yes if there's a disount | No, expensive | Yes | Yes | No, not enough depth |
Willingness to pay | Not the full price. Only <1000 | No | Discounted price | Yes | Yes |
Would they refer? | Yes | No | Yes | Yes | No |
Metrics | ICP 1 | ICP 2 | ICP 3 | ICP 4 | ICP 5 |
---|---|---|---|---|---|
Ease of Adoption - Need - Awareness - Willingness to try | Need: Actively looking for ways to read books due to lack of time Awareness: Aware of current solutions Willingness to try: Willing to try new solutions. Will need a little push | Need: Actively looking for ways to read books Awareness: Aware of current solutions Willingness to try: Will try if it's not expensive | Need: Not actively looking for solutions Awareness: Low awareness Willingness to try: Willing to try if promised results | Need: Not actively looking for solutions Awareness: Low awareness Willingness to try: Will need education on the product to make them try it. | Need: Not actively looking for solutions Awareness: Aware of current solutions Willingness to try: Will need education on the product to make them try it. |
Usage Frequency | Medium | High | Medium | High | High |
Potential to Pay - Appetite to Pay - Willingness to Pay | Appetite to Pay: High Willingness to Pay: Medium | Appetite to Pay: Medium Willingness to Pay: Low | Appetite to Pay: Medium Willingness to Pay: Medium | Appetite to Pay: High Willingness to Pay: High | Appetite to Pay: Low Willingness to Pay: Medium |
TAM Size | High | Medium | High | High | Low |
Distribution Potential | Medium | High | High | Medium | High |
Prioritized based on the following:
1. Ease of Adoption - Should be early adopters
2. Usage - Should have a high usage frequency
3. Appetite to Pay - Should have both the willingness and appetite to pay
4. Sizable TAM - Should be large enough / growing TAM
5. Distribution Potential - Should be easy to distribute
Based on the above prioritization framework, ICP 1, ICP3 and ICP 4 are chosen as primary ICPs
We are looking to target the Indian population who don't read books
Literacy rate in India is 74%
Population of India is ~ 142 Cr
Therefore, the population of literate people in India : ~ 105 Cr
Population in India who are book readers: ~ 470M
So, the TAM of non book readers in India: 105 Cr - 470M = ~58.5 Cr
References: https://www.statista.com/outlook/amo/media/books/india#revenue
We are looking to service non-readers who want to consume easily digestible short form content and readers who don't get the time to read.
Approximately 30% of book readers in India don't get the time to read: 30% * 470M = ~ 14.1 Cr
and, 45% of non-readers want to start reading short digestible content: 45% *58.5 Cr = ~26.3 Cr
Adding the two for our SAM: 14.1 Cr + 26.3 Cr = 40.4 Cr
References: https://inc42.com/resources/indian-millennials-reading-enough/
Considering the youth of India looking for TLDR content is of the age 18-35 from our SAM = 30%
30% * 40.4 Cr = ~ 13.4 Cr
References: https://inc42.com/resources/indian-millennials-reading-enough/
Channel | Cost | Flexibility | Effort | Lead time | Scale |
---|---|---|---|---|---|
Organic | Low | Low | High | High | Medium |
Referral | Low | High | Medium | Medium | Medium |
Paid ads | High | High | Medium | Low | High |
Product integrations | High | Low | High | High | High |
Reference: https://www.similarweb.com/website/blinkist.com/#traffic-sources
Referer's flow
Observations:
Referee's flow
Observations:
Hey <user>, I have been using Blinkist and I love it! Get 15-min summaries of bestsellers & podcasts. Use my code for 20% off on the premium membership! 📚✨ Don't miss out!
Currently it shows the status of a referral sent but could include more details on what part of the funnel the referred users are currently at.
Currently the landing page does not include the product's USP and just mentions the '30 days free' incentive not giving a reason for the referee to download the app.
While slightly expensive, paid campaigns can help Blinkist aggressively scale if the correct audiences are targeted. Will require a one time effort to create ad films highlighting value props and relatable instances to the right set of users.
CAC | INR 500 |
---|---|
AOV | INR 3000 (yearly subscription) |
Frequency | 1/year |
Retention (year) | 1 (assumed) |
LTV | 3000 |
CAC:LTV | 1:6 |
Considering CAC:LTV > 3 we can proceed with paid channels of acquisition
Channel | Cost | Flexibility | Effort | Speed | Scale | Budget |
---|---|---|---|---|---|---|
Google apps/display | High | Medium | Medium | Medium | Medium | 10% |
YouTube | High | Medium | High | Medium | Medium | 20% |
Medium | High | Medium | Medium | High | 20% | |
Medium | High | Medium | Medium | High | 30% | |
Medium | High | Medium | Medium | Medium | 20% | |
Total | 100% |
ICP | Channel of choice | Likeliness of influence | User volume we want to acquire | Revenue contributions |
---|---|---|---|---|
Prashanth | YouTube, LinkedIn, Google Search | Low | 10% | Medium |
Deepanshu | Google search, Instagram | High | 20% | Medium |
Sushmitha | Instagram, LinkedIn, YouTube | High | 30% | High |
Manish | Facebook, YouTube | High | 20% | High |
Rithika | YouTube, Instagram, Facebook | Medium | 20% | Medium |
The ads created are meant to cater to all personas. Through high impressions and reach-frequency model, we will be able to drive the core messaging to all our personas, at least 3 time.
Static - Straight forward, value prop and CTA first
Video - Short format, light, engaging, entertaining and easy to consume. Highlights the USP
Let’s Model out Product Integrations for our ICP.
Short summary of who our ICP is
Products they interact with | Uber/Ola/Rapido | Slack/ Mail | Instagram/ LinkedIn |
---|---|---|---|
Frequency of usecase | High | High | High |
How important is the product to the user | High | High | Medium |
Can Blinkist add value to these interactions | Yes | Maybe | No |
How many new users or use cases can we get from this? | High | Medium | Low |
We will select Uber to kick off product integration experiments for user acquisition
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