Hungry to eat but do not know which restaurant to order from? Don't worry! We got you covered! Eat Club curates some of India's best food and beverage brands of all cuisines, right into the frame of your eye so that you don't spend hours searching where to order from! And the best part? We got you covered in all your favorite cities at a very reasonable cost with a guarantee of authentic taste, free delivery, and easy to consume packaging which is also environment friendly!
(Most commonly noted inferences as it is)
(Most commonly noted inferences as it is)
(Most commonly noted inferences as it is)
ICP B2C Table
Criteria | User 1 | User 2 |
---|---|---|
Name | Prajakta | Dhananjay |
Age | 22 | 34 |
Demographics | - Stays in Bengaluru. - First job working in an IT Firm. -Staying in a PG/Flat. | - Regular Business Traveler. - Can’t cook. - Health conscious. |
Need | Food Delivery options due to lack of cooking space at accommodation. | Food delivery options in cities travelled for work. |
Pain Point | Do not want to spend much time and money on deciding what to order for food. | Wants consistency in taste and authenticity with the food being consumed. |
Behavior | Works in a hybrid work environment with 2-3 days of Work from home where she wants to order the food. | Travels to a new metro city every 1 or 2 weeks and does not want to spend time in searching for restaurants to have food. |
Perceived Value of Brand | Low | Medium |
Marketing Pitch | Curated Food Menu without scrolling endlessly for ordering. | Authentic Food delivered from Select brands in 25-30 minutes. |
Goals | Do not want to over spend on food given other expenses but want to eat authentic tasty food. | Do not want to risk eating from places with questions over quality and hygiene and want to maintain consistency from the place of food. |
Frequency of use case | High | High |
Average Spend on the product | Medium | High |
Value Accessibility to product | High | High |
Value Experience of the product | Positive, as she is a repeat buying customers, indicating loyalty. | Positive, as they are rating 5 stars after each order, indicating customer satisfaction. |
Factors | Competitor 1 | Competitor 2 | Competitor 3 | Competitor 4 |
---|---|---|---|---|
What is the core problem being solved by them? | Swiggy | Zomato | Home Meals | Pure Eats |
What are the products/features/services being offered? | Food and Beverage Delivery | Food and Beverage Delivery | Food Delivery | Food Delivery |
Who are the users? | Ages 10-60 | Ages 10-60 | Ages 18-35 | Ages 18-35 |
GTM Strategy | Mix of Digital Marketing Channels and Tactics | Mix of Digital Marketing Channels and Tactics | Organic | Organic |
What channels do they use? | Paid Ads, Influencer Marketing, Email Marketing, SEOs. | Paid Ads, Influencer Marketing, Email Marketing, SEOs. | Word of Mouth | Word of Mouth |
What pricing model do they operate on? | Commission based, Delivery fee based, Ad based, subscription based, convenience fee based, service fee based. | Commission based, Delivery fee based, Ad based, subscription based, convenience fee based, service fee based. | Subscription based | Subscription based |
How have they raised funding? | Series A investors based funding. | Various rounds of investing from different prominent investors. | They have not raised any funding. | They have not raised any funding. |
Brand Positioning | Variety, Reliable, Convenient, Multi - purposed, Youthful. | Trust, Authentic, Multi-Purposed, Fosters Community through events. | Reliable home made food that is fresh and authentic. | Reliable home made food that is fresh and authentic. |
UX Evaluation | Smooth and Easy to navigate. | Smooth and Easy to navigate. | A simple app with basic features. | A simple app with basic features. |
What is your product’s Right to Win? | Direct curation of specific brands. | Direct curation of specific brands. | Availability in more locations and delivery coverage. | Availability in more locations and delivery coverage. |
What can you learn from them? | Scaling and Expansion. And perhaps a curation of a few more options! | Scaling and Expansion. And perhaps a curation of a few more options! | Curation of menu and feel of authenticity. | Curation of menu and feel of authenticity. |
Now it’s time for some math, calculate the size of the market.
TAM = Total no. of potential customers x Average Revenue Per Customer (ARPU)
SAM = TAM x Target Market Segment (percentage of the total market)
SOM = SAM x Market Penetration/Share
Calculating TAM
Firstly lets compute the ARPU,
ARPU = Total Revenue / Number of Users
Total Revenue = 315 Crore INR
Number of Users = 10,41,473 (Approximately)
Therefore, ARPU = 3,15,00,00,000/10,41,473 = 3024.56 INR
~Approximately, ARPU = 3025 INR per User.
Now , TAM = Total Number of Potential Customers x ARPU
Total Number of Potential Customers for Eat Club will account the total population of all the Tier 1 cities in India where Eat Club is present (Mumbai, Bengaluru, Pune, NCR, Hyderabad).
Let us assume the total population of these cities are approximately ~ 10 Crore.
Therefore, TAM = 10,00,00,000 people x 3025 INR = 30,250,00,00,000 INR
Calculating SAM
Total Addressable Market is 30,250 Crore approximately.
But obviously all these people would not require food deliveries, let alone Eat Club.
Therefore, SAM (Serviceable Addressable Market) = TAM x Target Market Segment
Averaging out the numbers from Multiple sources and reports from RedSeer, Zomato, BCG, Google: Target segment for the food delivery segment in Tier 1 cities can be averaged out to ~ 30% of the tier 1 cities population.
Therefore, SAM = 30,250,00,00,000 INR X 30% Target Market = 9075,00,00,000 INR
Calculating SOM
But obviously not all of this “Addressable” market is “Obtainable” as in no product can obtain all the customers they can “potentially address” to.
Therefore, SOM (Serviceable Obtainable Market) = SAM x Market Penetration or Share
As per Entrackr, Eat Club amongst other players has about ~10% Market Penetration.
Taking this into consideration,
SOM = 9075,00,00,000 INR x 10% = 907,50,00,000 INR
Therefore Indicatively (As SAM, SOM, TAM are all indicative numbers based on lot of assumptions), Eat Club has about a ~900 Crore INR odd of market they could obtain in comparison to the ~315 Crore INR they are making.
In short there is still room to make more revenue and make some more money!
Channel Name | Cost | Flexibility | Effort | Speed | Scale | Budget |
---|---|---|---|---|---|---|
Organic | Low | Low | High | Low | Medium | Low |
Paid Ads | High | Medium | High | Low | Medium | High |
Referral Program | Low | High | Low | High | High | High |
Product Integration | High | Low | High | Low | Low | High |
Content Loops | Low | Medium | High | Low | High | Low |
Firstly let us take a look at the Current Referral Program and then see where is the room for improvement.
Open the app and this is the home screen that will appear:
Go to the bottom middle icon of the app, to view the referral guidelines:
There are 2 core aspects missing that are impacting the motivation for the active users to refer Eat Club are:
This is what we need to improve and this is the problem we have to solve to obtain more users at the stage of Mature scaling of the product!
In order to acquire users as per the product’s mature scaling!
This is how Eat Club’s referral system could look like post adding the missing components:
Where can the Referral tracker be added? - On The Profile Section, where one can go and check for the status of their Referrals!
When can the Referral be asked for? - After couple of successful deliveries that are rated 5 Star.
Where can they be asked for? - On WhatsApp!
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