Rapido is a household name today, but predominantly as a bike taxi platform. Rapido Auto services were launched 5 years ago and cab services a year ago. I have chosen Rapido Auto marketplace for Bhubaneswar as my project. In Tier 1 cities, Rapido Auto would be at the mature scaling stage, but the reason why I have tagged it as an early scaling stage is because the penetration of the category is 29% which means there is a lot of room to scale up. Also, customer acquisition campaigns were done predominantly during city launch and then sporadically a few times over the past 5 years. Also Rapido Auto just owns 15% of the market share as well. These are the main reasons why I chose it to be at the early scaling stage.
Predominantly we have seen a few driving factors while considering options for commuting in the city. Let's take a look at them:
| Bus | Cab | Bike Taxi | Offline Auto | Rapido Auto |
---|---|---|---|---|---|
Pricing | Lowest | Highest | Low | High | Medium |
Safety | High | High | Low | Medium | Medium |
Travel Time | High | Medium | Low | Low | Low |
Door Step Pick up | No | Yes | Yes | No | Yes |
Understanding that the people in the city want door step picked up safe rides with decent costs and reach the destination on time, Rapido Auto gives the benefit.
Ola and Rapido have the same per km charges so more or less the customer gets the same pricing. But getting a ride is also a function of captains accepting rides. The fundamental motivator for this is how much the captain makes. Rapido Auto is on a no-commission model but Ola charges close to 15% commission, so with the same rate card Rapido Auto pays out more to the captain. In the case of Uber, they too run a no-commission model, but Rapido Auto's rate card is slightly better giving the edge there as well. In both cases, Rapido Auto captains end up making more for the same ride. This leads to better acceptance and customers gets rides fulfilled with Rapido.
I have calculated TAM from a supply point of view.
Total number of registered autos (data from RTO) | 27,000 |
Average ticket size (internal data) | 108 |
Average daily income needed for a captain (from captain VoC) | 1200 |
Expected number of rides in a day per captain | 1200/108=11 |
Total number of rides in a day if 25% of autos run in a day | (27000/4)*11=74,250 |
From the 25% of autos that run in a day, there are many routes where these autos run in the shared ride concept, which according to captain VoCs, contributes to half a day's work. This makes my SAM, 74,000/2 (for half the day) = 37,000. Targeting a 25% market share, my SOM would be 9,250 rides per day. With the current run rate, this can be made possible only through customer acquisition, customer retention, and improved customer repeat sales. For my project, we will discuss customer acquisition alone.
| ICP1 | ICP2 | ICP3 | ICP4 |
---|---|---|---|---|
Who | Employee | Parents traveling to the hospital either alone or taking a family member | College Student | Outstation Traveller visiting Bhubaneswar |
Age | 21-30 | 30-60 | 16-20 | 20-50 |
Income | 20-50k /mo | household income <30k /mo | Pocket money - monthly 5k | <50k /mo |
Occupation | IT | Any | Student | Any |
Lives with | flatmates, family | Family (dependants) | Parents | Alone or with flatmates in Bhubaneswar |
Dependant | No | No | Yes | No |
Where do they spend most of their time | 40-50 hours on weekdays at work. 8-10 hr over the weekend out with friends at commercial spots like malls, cinemas, and restaurants. Free Time - Instagram, FB, LinkedIn, OTT, youtube | 60 hours a week at work Weekends are spent at home or shopping for provisions and essentials. Free Time - FB, Instagram, TV | 30-40 hours at college Weekends - chilling with friends, Tuition centers, Sports/extracurricular activities Free Time - Instagram, FB, OTT, TV, youtube | If he is working in Bhubaneswar, 60 hours on weekdays, and weekends he would go back. If he is visiting someone, then at their place predominantly but also at restaurants, malls, and other marketplaces. If he is attending a function then at the venue. |
Where do they spend their money? | Rent, Food, Commute, Entertainment, emis, SIPs. | Rent, emis, provisions and essentials, commute, kids fees, medical bills. | Study material, phone recharge, commute, snacks, movies | Commute, food, lodging. |
Options for Commute | Own vehicle, with a friend, offline auto, online auto/bike, Bus. | Borrowed vehicle, Auto - offline and online, Bus | Walk, cycle, bus - public/college, with a friend on a bike, bike taxi, auto-offline/online. | Bus, auto, cab, traveling with the friend he is visiting. |
Frequency of rides | 4-10 times a week | 1-3 times a month | 10 times a week | At least twice a week but can go up to 5 to 6 times a week. |
Pain points | Generally wouldn't have enough money or salary bracket to get an own bike. Depending on a friend comes at the friend's convenience. Offline auto drivers ask for exorbitant amounts and have to haggle. Busses take too much time. | A borrowed vehicle is always a risk, in terms of damage and then the incurred costs. Busses take a lot of time. Offline auto requires you to go to the nearest auto stand or wait in front of your home expecting an auto to come up soon, too random. | Walking and cycling are tiring. Busses are scheduled and take a lot of time. Bike Taxi looks cheap. | With luggage getting in and out of buses is a task. A lot of luggage means a cab, which is expensive. |
Top priorities while choosing a ride | Affordability and availability | Affordability and availability | Status and availability | Affordability and availability |
| Adoption Capacity | Frequency of Usage | Appetite to pay | Distribution potential |
---|---|---|---|---|
ICP1 | Very High✅ | High✅ | Very High✅ | High✅ |
ICP2 | Medium | Low | Medium | Medium |
ICP3 | Very High✅ | Very High✅ | High✅ | High✅ |
ICP4 | Medium | Medium | High✅ | Very High✅ |
Based on the framework above, taking adoption capacity, frequency of usage, and the appetite to pay as the top priorities, we can conclude that ICP1 and ICP3 qualify.
The core value proposition: easily available commute options at affordable rates. In similar terms, JTBD would be able to reach point A from point B faster and economically.
Currently Paid Ads through Google is the only channel we use. There is no strategy behind this and we allow Google to run its algorithm without any direction from us. On a weekly average, we generate 500 FTUs (First Time Users) at a CAC of 100. Organically through word of mouth, we get a weekly FTU count of close to 3000.
Channel | Cost | Flexibility | Effort | Reach |
---|---|---|---|---|
Search | Low | Low | Medium | High |
Influencer Marketing | Medium | Medium | Low | Medium |
Paid Ads (FB, Insta) | Low | High | Low | High |
Referrals | Low (Paid after revenue is generated) | High | Low | High |
Product Integrations | Low | High | Medium | High |
Offline (e.g., OOH) | Very High | High | High | Low (Localised) |
ICP1 and ICP3 spend their free time on Google, Instagram, Facebook, YouTube, and OTT channels like Amazon Prime, Disney Hotstar, and Netflix.
Channels to be considered:
Channel | Cost | Effort | Flexibility | Speed | Scale |
---|---|---|---|---|---|
Low | Low | High | High | High | |
Facebook/Instagram | Low | Medium | High | High | High |
YouTube | High | High | Medium | High | High |
Other online ad platforms | Medium | Low | High | High | Low |
OTT Channels | High | High | Low | Low | Low |
CAC Ratio:
Overall costs would be 9 Lacs for 6 weeks and the expected new rides from the new customers is around 5-6K. Then the CAC would be 9,00,000/6000 = 150.
CAC Ratio: Expected CAC is 150. LTV would be 100 (ATV) x 20 (avg. rides per month considering 5 rides a week for both ICP1 and ICP3) x 1 (avg. churn time in months), which is 2000. CAC Ratio = 2000/150 = 13.33. This is an excellent CAC ratio.
Whom and where to target:
What is Rapido currently running?
In the past 2 years of working with Rapido, and being a regular customer as well, I have not seen any pop-up asking to refer someone to the platform.
In the hamburger menu, on the customer app, there is an option to refer and earn. Clicking on that takes the customer to the referral page.
There are two problems here:
The new version of the referral program 😎:
Brag-worthy feature of Rapido Auto: Booking to pick-up time was less than 5 minutes.
When and whom to ask for a referral:
When the brag-worthy ride happened and the ride was given a 5-star rating.
Discovery:
When the customer gives a 5-star rating, a pop-up message 'Thank you! and share your joy' will be shown. It will be a button, but when clicked it will take the customer to the referral page. The referral page will remain the same.
Referral bonus:
If the referee does one ride, then the referrer gets flat 20% off on his next ride (with a cap of 25 Rupees).
Tracking:
Tracking will be available on the referral page. As of now, no tracking is done on the app. This will have to be integrated into the app so that the referrer knows if the referee has done a ride or not.
Book My Show
What is currently happening?
Across 10 cinemas, with 5 screens on average, 4 shows a day with 120 tickets sold (200 seats available on average and 60% occupancy) we see 7.2 Lac tickets sold in May in Bhubaneswar. Out of these over 60% is sold online, which gives us 4 Lac tickets sold online. BMS has a 75% market share which means over 3 Lac tickets are sold through BMS. Customers book tickets and figure out a way to reach the cinema.
Enter Rapido 🛺
On the page which shows the movie ticket, there will be a button called 'Book me a ride'.
Clicking on this button, the customer is redirected to a page that is basically a Rapido-integrated page. It will have a similar theme to BMS, but it will be a Rapdio booking page. Note, that here drop location is already populated based on the cinema where the movie ticket is issued.
In the backend, we will have to track BMS-integrated rides separately. The customer will be able to track the ride and use basic features only through this integration. Once, the ride is completed, the customer will be prompted to download the Rapido App for future rides.
What is it in for BMS?
Fari question. Rapido customers will be given a flat 15% off on BMS ticket purchases (up to 45 Rupees) with once a month usage limit. This will only be given to customers who have a weekly RPC of 2 or more in the past 4 weeks. Also, BMS gets its brand exposed to Rapido customers (all categories) with the marketing of the cross-utilized offers.
What is MoBus?
MoBus is a government bus service across the state run under CRUT (Capital Region Urban Transport). CRUT has launched e-buses as a step towards promoting green mobility. MoBus has over 3 Lac footfalls in a day and they cater to Bhubaneswar, Cuttack, Puri, Jatni, and Konark.
Where do we come in?
Every day 3 Lac customers travel on MoBus, out of which 22% are booking tickets through their app, which is 66K travelers in a day. Now Mobus runs on 13 routes spanning over hundreds of kilometers from Cuttack to Jatni to Puri to Konark. So all customers have to reach their nearest MoBus stops to access the service. As it is online, they can track the movement of the bus on the route enabling them to plan their FM (first mile) commute. Rapido Auto will be the solution for this. Also, before reaching their destination MoBus stop, customers can have their Rapido Auto booked and ready for pick up, solving for LM (last mile).
How?
Once the customer has purchased his MoBus ticket, he will be prompted 'Reach <bus stop name> within <x minutes> using Rapido App' (Note that, the customer has already given location permission for MoBus app, thus calculating ETA would be easy). This prompt will have a link to download the Rapido App.
Cross Utilization
Rapido will have promotions of MoBus on the Rapido App encouraging users to download and use MoBus to increase their app usage which is currently around 22%.
Brand Trust
CRUT is widely respected across the city, thus any tie-up or partnership with CRUT is always considered trustworthy.
Done. Thank you!
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