Rapido Auto and Cab services have emerged as a strong alternative to ride hailing (4w,3w) commute services in Bangalore and NCR (and minimal presence in another 25 cities) through its solution innovation such as, bilateral payments, very low platform fee for drivers, salaried autodrivers and hubs for vehicle parking and a much lower pricing for commuters. With an aspiration to expand to 500 cities over the next 5 years, the solution is in the 10 to 100 phase of "scale" where it can dislodge the current players and be the leader in this space. What should drive the distribution strategy - product integrations, parternship led, event led ? What can bring them massive scale to expand to 500 tier1 and tier2 towns.
B2C Table
Criteria | User 1 | User 2 | |
---|---|---|---|
Name | Arjun | Ananya | |
Age | 29 | 31 | |
Demographics | Male. Mid Income | Female. Mid Income | |
| |||
Need | affordable rides | quicker rides | |
Pain Point | Uber cab rides are expensive | cabs take a while for pick up | |
Solution | reduced pricing for commuters | cabs that arrive faster n communicate with commuter | |
Behaviour | short rides to work | ||
Perceived Value of Brand | high | medium | |
Marketing Pitch | affordable rides | quicker rides at your doorstep | |
Goals | office commute | errands | |
Frequency of use case | daily | daily | |
Average Spend on the product | 400 / day | 300 / day | |
Value Accessibility to product | comfort, convenient | faster availability | |
Value Experience of the product | positive and above medium | positive and cost driven | |
|
We have multiple users of a product and not all of them can be our ICP for whom we make our strategies, we need to prioritize.
(use this ICP prioritization table)
Criteria | ICP 1 | ICP 2 |
---|---|---|
Adoption Curve | High | High |
Appetite to Pay | Low | High |
Frequency of Use Case | Medium | Low |
Distribution Potential | High | High |
TAM | |
(Let's begin by doing a basic competitor analysis)
Factors | Competitor 1 - Uber | Competitor 2 - Ola | Competitor 3 -Blusmart | Competitor 4 |
---|---|---|---|---|
What is the core problem being solved by them? | Point to point commute | Point to point commute | premium airport rides | |
What are the products/features/services being offered? | Ride Hailing - 3w, 4w | Ride Hailing - 3w, 4w, 2w | Ride hailing - 4w | |
Who are the users? | avg commuters from metro, tier 1, 2 cities | avg commuters from metro, tier 1, 2 cities | premium commuters to airport. prescheduled ride | |
GTM Strategy | ||||
What channels do they use? | traditional marketing, product integrations | traditional marketing, product integrations, corporate wallets | product integrations, | |
What pricing model do they operate on? | Platfrom fee 30% over and above tariff, convenience charge, GST. Drivers are paid the next day | Platfrom fee 30% over and above tariff, convenience charge, GST. Drivers are paid the end of the week | Drivers are on salary.Rides are charged premium and cars are clean and premium too | |
How have they raised funding? | US VC | Indian VC | Indian VC | |
Brand Positioning | Upstream, now medium | Medium to lower | Premium | |
UX Evaluation | App is reliable and easy to use | App is reliable and easy to use | ||
What is your product’s Right to Win? | Cheaper rides, faster pickups, | Cheaper rides, faster pickups, | Cheaper rides to airport | |
What can you learn from them? | App UX UI. Reliable design at scale. | App UX UI. Reliable design at scale. | Salaried Drivers, Parking Hubs |
(Then let's try to understand the market at a macro level and evaluate the trends and tailwinds/headwinds.)
Now it’s time for some math, calculate the size of your 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
TAM :)
ARPU = Rs. 14 for 3W and Rs. 18 for 4W.
Avg Daily rides in Metro = 10 Lakhs
TAM per city = INR 1.4Cr to 1.8Cr per city per day = INR 50 Cr per month per city
TAM = INR 600 Cr per year per metro city.
TAM across 500 cities (Tier1, Tier2, Tier3) = above INR 10,00,00 Cr or 10Lakh Crore per year addressable.
With larger number of Tier3, Tier2 and Tier 2 cities
SAM :)
Target Market Segment (percentage of the total market) = 10% of total market. 100,000 rides in Metro City per day
Potential Rides per day per city
100,000 for Metro. 70000 for Tier 1. 40000 for Tier 2. 20000 for Tier 3
(Ola does 7,00,000 trips daily in Bangalore)
SAM = 10% of 600 Cr per year per metro city = 60 Cr per year per metro city and above 10000 Cr per year across 500 cities
SOM :)
Target Market Segment (percentage of the total market) = 1% of market share. 10,000 rides in Metro City per day
very conservative estimates in year 1
Potential Rides per day per city
10,000 for Metro. 7000 for Tier 1. 4000 for Tier 2. 2000 for Tier 3
(Ola does 7,00,000 trips daily in Bangalore)
SAM = 1% of 600 Cr per year per metro city = 6 Cr per year per metro city and above 1000 Cr per year across 500 cities (correction factor for different category of cities)
Rapido is int he mature scaling stage having made strong inroads in Bangalore and NCR. now targetting the tier1,2,3 cities
Channel Name | Cost | Speed | Effort | Scale | ||
---|---|---|---|---|---|---|
Organic | Low | Slow | Medium | Low | ||
Paid Ads | Low | Slow | Low | Low | ||
Referral Program | Medium | Medium | Low | Medium | ||
Product Integration | High | Fast | High | High | ||
Content Loops | Medium | |||||
(Understand what is already being done, what is working out well and what needs to be stopped)
Step 1 → Define the CAC: LTV ratio. If your product has a healthy CAC:LTV ratio, proceed with paid ads.
Step 2 → Choose an ICP
Step 3 → Select advertising channels
Step 4 → Write a Marketing Pitch
Step 5 → Customize your message for different customer segments to ensure relevance
Step 6 → Design at least two ad creatives (e.g., images, sketches, videos, text ads) that reflect your marketing pitch.
(Understand, where does organic intent for your product begins?)
Step 1 → Identify complementary products used by your ICP
Step 2 → Use the selection framework
Channel Name | Time to go live | Tech Effort | New users we can get (monthly) | New Users we can get in Month 1 | New Users we can get in Month 2 | New Users we can get in Month 3 | New Users we can get in Month 4 | New Users we can get in Month 5 |
Event Booking Platform - BookMyShow, District | Short | Medium | 10000 | 2000 | 2000 | 2000 | 2000 | 2000 |
Travel Booking Platform - MMT, Treebo | Short | Medium | 50000 | 1000 | 1000 | 1000 | 1000 | 1000 |
Music Platforms - Spotify, Gaana | Short | Medium | 20000 | 4000 | 4000 | 4000 | 4000 | 4000 |
Step 3 → Collaborate with necessary stakeholders
- BookMyShow, Zomato District ,
- MakeMyTrip, Treebo
- Spotify, Gaana
Step 4 → Map the customer journey
Customers of the above apps get to have discount rides for major events such as concerts, when booking hotel and commute to hotel, music playlist exchanges between friends and offer a ride on select days. Music apps can say what the city is listening to, based on which events commute could be offered at a discount.
Step 5 → Design the wireframe with the new integration
Step 6 → Run pilot tests before launching
Step 7 → Measure post-integration metrics
For driving adoption post initiallaunch
Step 1 → Referral for family and friends for first 3 rides. Festive Referrals
Step 2 → Driver Partner Referrals, for new onboarding activations
we hope this helped you break the cold start problem!
Reminder: This is not the only format to follow, feel free to edit it as you wish!
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