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BookMyShow (BMS) is an online ticketing platform. BMS offers its users various movies and entertainment events across categories like music, sports, workshops, theater plays, and more.
BMS currently monetizes mainly through:
The company has been using the same business model for most of its existence, generating around 1000 Cr in revenue for FY23. While the current monetization model is successful for BMS, I think there is still more potential to be tapped from the platform's core and power users. In this report, we will be exploring the framework and strategies for deepening BMS's user monetization.
Understanding the retention rates for apps in industries like entertainment, shopping, lifestyle, travel, and sports. We can make an informed guess that the retention curve for a ticketing business will flatten out in 3-4 months. Below is an illustration of how the curve would look.
The responses from my online survey (n=19) got back results that supported the assumption. Close to 50% of the respondents said they used the app in the last month. Approximately 60% of the respondents said their app usage frequency is < 3 months and 41% said they used it in < 6 months.
Natural frequency for BMS users:
Note: Sub-products have negligible usage frequency (per my research). None of my respondents have tried BMS stream.
The results of my user research show good usage frequency - 21% of respondents said they used BMS multiple times a month, 26% said they used it once a month and 31% said they used it once in 2-3 months.
The user also displayed interest in booking for more than 1 event type on BMS:
There are 30 million active users of BMS and 50 million app downloads. More than 50% of the users I spoke to were not using any other app for exploring events or movies. BMS has over 75% market share in the movie ticketing space.
In order to understand which user segment is ready for up-sell/cross-sell monetization opportunity. Let's look at the different ICPs for BMS
ICP 1 | ICP 2 | ICP 3 | |
---|---|---|---|
Type | Movie Buff | Explorer | Art Fanatic |
Name | Samskruti | Praveen | Aishwarya |
Age | 20-30 | 25-30 | 25-30 |
Gender | Female | Male | Female |
Location | Tier-1/Tier-2 | Metro/Tier-1 | Metro/Tier-1 |
Annual Salary | 6-10 L | 10-20 L | 10-20L |
Marital Status | Single/Married | Single/Married | Single/Married |
Living with | Family/ Roommates | Roommates/ Spouse | Alone/ Roommates/ Spouse |
Time Vs. Money | Money | Time | Time |
Most used app | Instagram, Whatsapp, Spotify, BlinkIt, Splitwise, SonyLiv, Swiggy, Youtube, Whatsapp, PhonePe | Twitter, Instagram, WhatsApp, Telegram, IndMoney, Upstox, Kite, Netflix, Prime Video, Duolingo, Swiggy, Ola | Swiggy, Zomato, Uber, Amazon, WhatsApp, Instagram, Linkedin, Slack, Gmail, GPay |
Where do you spend online? | Spotify, Apple TV, Apple music, The Ken, BlinkIt, Uber | Zomato, swiggy instamart, Uber, book my show, Apollo 24/7, kite, Medium, Notion, ChatGPT | Amazon prime, Netflix, make mytrip, Zomato, Spotify, Groww |
How do you spend your leisure time? | Movies, Netflix binge, read, spend time exploring the city, meet friends, find new cafes | Reading, Hiking, Football, Films, OTT, Social Media, Books, badminton, Gaming | Dancing, commuting, sleeping, cleaning, Exploring cafes / restaurants |
Do you use any subscription products? | SwiggyOne, | SwiggyOne, Amazon Prime, Uber Pass | SwiggyOne, Amazon Prime, Uber Pass |
Why do you BMS? | To book movie tickets, find events around the city and book tickets for them | Visibility of movies running in my interested venues and to compare prices of tickets | Book movie tickets, check on workshops happening in the city, easy to find all details and hassle-free to use |
How often do you buy tickets on BMS? | Once in 2-3 months | Once a month | Multiple times a month |
What do use BMS for? | Movies, Music concerts, Comedy Shows | Movies, Sports events, Comedy Shows, Workshops | Movies, Comedy Shows, Workshops |
Avg. monthly spend | Less than 500 | 500 - 1000 | 500 - 2000 |
Do you buy or rent using BMS Stream? | No | No | No |
Do you use the BMS Play Credit card? | No | No | No |
Do you buy food/snacks along with your movie tickets? | No | Yes (when alone) | No |
Have you tried the "Filmy Pass" discount offer? | Yes (sometimes) | No | No |
What other alternatives do you use for tickets? | PayTM Insider | PayTM Insider | PayTM Insider |
Other use cases with BMS | Check out seat availability, Nearest theatres, meet people | Check out seat availability, Nearest theatres, meet people | Check out seat availability, Nearest theatres, meet people |
Type of user | Casual/Core | Core | Core/Power |
RFM score | Promising User | Potential Loyalist | Loyalist + Champions |
LTV estimate (Assume 3 years of usage) Avg movie tct price = 250 Avg non-movie price = 1500 | 250X0.5X12X3= 4500/person 9000/couple | 250X1X12X3 + 1500X0.1X12X3= 14,000/person 28,000/couple | 250X2X12X3 + 1500X0.5X12X3 = 45,000/person 90,000/couple |
Willingness to pay for extra value via subscription? | Low | medium-high | High |
Opportunity to monetize by cross-sell/up-sell? | May be | Yes | Yes |
Hypothesis: Increase the ARPU by 40% with a subscription bundle (ex: Swiggy One) to the core and power users.
Additional information regarding the subscription:
Based on the survey results and 1:1 interviews with active and churned users, here is the assumed RFM Matrix for BMS:
The user groups are bucketed based on recency of usage, frequency of usage and # of use cases. The ideal user for 3-month subscription product is someone who's a high frequency user and has paid for movies and events on the platform. The 3 buckets to focus on to beta-test the subscription model are:
In addition to the above 3 buckets, the subscription product can be offered to resurrect "About to sleep" users and "Can't lose them" users.
Subscriptions can also be pitched with promotional discounts to "Promising" user and "Needs attention" users.
Let's also look at the survey results and check if the core and power users cross 50% of the user base.
Therefore it can be confirmed that the current power and core users combined are > 50% of the user base of BMS. This is another positive signal to test out a monetization opportunity to increase the AOV of the users.
With 30 million active users and 50 million downloads, BMS definitely clears the user value creation step. Let's look at what is the currency for perceived value of BMS user:
Dopamine: Users come to BMS to explore movies and events that they can enjoy with their family, friends or even a like minded group of people. The dopamine is delivered at various stages of the User flow (see image)
Time: Users are looking to maximize on their leisure time and wish to spend time on joyful experiences that are aligned with their interests & desires.
Understanding the user flow, I identified few moments where the user perceives the most value from using BMS:
Some of the ways to communicate the value of membership to champion/Loyal users:
Note: The membership plans can be pushed to core & power users via promotional campaigns right before mega party events such as New years, Holi and Dussehra/Dandiya parties.
BMS currently monetizes mainly through:
Of the above mentioned sources, BMS users only pay the convenience fee which is charged based on Output (number of tickets, number of movies/events)
The core value proposition of BMS is find events and theaters around the city and book tickets online hassle free. The core action done by the user on BMS is purchasing tickets.
In addition to Output, BMS can start charging for Efficiency (Savings) and access:
Since there is no membership subscription offered currently on BMS. There was limited scope for doing user research on price sensitivity and willingness or price vs value. Instead I looked at the post popular subscription purchases made by BMS users (from my survey + interviews)
Since BMS is a market leader in its industry, it is not competing for user spend with other ticketing platforms but rather with other subscriptions products that compete for BMS users' disposable income. I looked at major OTT apps:
Offers (INR) | Monthly (INR) | |
---|---|---|
Amazon Prime | 1499/ year | 299 |
Netflix | NA | 499 |
Disney+Hotstar | 1499/ year | 299 |
Sony Liv | 999/ year | 299 |
Zee5 | 999/ year | 83 |
Apple TV | NA | 99 |
Averege | 263 | |
Median | 299 |
BMS power and core users see value going to movies at the theaters and attend other events in their city. They usually watch movies at multiscreen theaters and spend on an avg >250 rupees per ticket. The attend events with ticket prices starting from 500 rupees.
Here are the 4 tiers of 3-month subscription offering to increase the AOV of BMS active users:
Membership | 3-month price | Monthly price |
---|---|---|
Silver | 599 | 199 |
Gold | 999 | 333 |
Gold+ | 1999 | 666 |
Diamond | 2499 | 833 |
Comparing the per month price of Silver and Gold, they fall well in the comparable range of the top 4 OTT subscription prices. Hence, I propose the above mentioned pricing to run a beta-test with select power and core users of BMS.
Type | Price (INR) | Value offered (INR) | Price : Value |
---|---|---|---|
Silver | 599 | 2X300+300+0.15X500 = 975 | 1 : 1.62 |
Gold [Best value] | 999 | 4X300+2X500+ | 1 : 2.35 |
Gold+ | 1999 | 8X300+2X500+ 0.3X800X2 = 3642 | 1 : 1.82 |
Diamond | 2499 | 8X300+3X500+ | 1: 1.65 |
Before we get down into pricing page designs, let's understand how the users will be made aware of the membership subscriptions on the BMS website & app.
Cognitive biases applied in BMS membership pricing page:
AOV vs. User disposable income
Most of the current users spend less than 2000 INR in a month towards BMS:
Taking the above percentages, the current AOV is 935 INR
The current average yearly income of BMS user is
= 0.174x25+0.174X30+0.13x2.5+0.174x8+0.13x12.5+0.13x18 = ~15 Lakhs
The average monthly income = 1.25 Lakhs
Assuming the disposable income to be 20% of the total, average disposable income = 25000 INR
AOV : Average Income = 975 : 25000 = ~ 1 : 25
In addition to the above insight, BMS has a monthly frequency of usage and the users aren't committing for a long time ( > 1 year) with the membership.
Therefore for the above reasons, BMS membership buying process is recommended to be built with a System-1 design approach.
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Rishi Ulapu
GX18
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