Analysing and Designing E&R for Ola
Ola started off as and is still largely known for being a "commute" partner. It is largely used for booking instant rides (cab/ auto/ bikes) from point A to point B.
Ola has also ventured into other verticals - food delivery, cloud kitchen, electric vehicles, parcel services.
Frequency for each user type | |||
Product | Casual User | Core User | Power User |
Rentals | 1-2 times/ year | 6-10 times/ year | 1-2 times/ month |
Outstation | 1-2 times/ year | 6-10 times/ year | 1-2 times/ month |
Electric | 1 time/ lifetime | 1 time/ lifetime | 1-2 times/ lifetime |
Parcel | 2-3 times/ year | 6-10 times/ year | 2-3 times/ month |
Money | 3-10 times/ month | 3-4 times/ week | 1-2 times/ day |
ONDC Food | 1-2 times/ month | 1-2 times/ week | 4-12 times/ week |
Insure | 1 policy/ lifetime | 1-2 policy/ lifetime + 1-2 renewals/ year | 3-4 policy/ lifetime + 1-4 renewals/ year |
With the goal of engagement and retention (E&R) in mind, we will segment the users into Casual, Core and Power users. This will help us identify the most relevant and customised levers to drive E&R for Ola.
Casual Users:
These are the users who mainly use the Daily rides feature 1-2 times/ month. These users have a low recall of Ola and very frequently use other competitor apps/ other means of fulfilling their mobility needs.
Core Users:
These are users who use the Daily rides feature 1-2 times/ week. They have used atleast one of the other parallel features (Ola Money/ Rentals/ Outstation) more than once. They have a moderate recall of Ola and are at times open to other competitor apps/ other means of fulfilling their mobility needs as well.
Power Users:
These are users who use the Daily rides feature 4-10 times/ week. They are also likely a regular user of Ola Money for paying for their rides. They have a high recall of Ola and prefer Ola to other competitor apps.
The product hook will be designed around the key insight that making a payment is a significant friction point for users using any mobility app. We will leverage Ola Money to drastically enhance the ride payment experience for Ola rides - by not having to bother to pay!
Goal:
To increase the frequency of rides booked per user.
Success Metrics:
Increase the ride booking and completion frequency of the cohort by 30%. The average ride rating should not decrease.
Problem Statement:
On reaching the destination, making payment for the ride is a point of potential friction. This involves the driver ending the ride, asking the customer to pay as per the amount shown on the screen. At times, this amount is dynamic and hence the user might also be inclined to cross check the amount shown on his/ her application. On verifying that the amounts are matching, the user would pay. There might also be a preference for cash payment by the driver, which the user might now have. The payments initiated via digital modes (UPI, wallet, etc) might also fail/ get stuck. In case of cash payments, availability of exact change might also be an issue.
After a smooth ride booking and riding experience, this last step has the potential to ruin the experience for the customer.
Current alternative:
If not for Ola Money, the current alternative to do the payment is either via an active online mode (UPI/ wallet/ card) or via Cash
Solution:
Subtly nudge the user to try cashless experience using Ola Money. Once activated, set it as the default payment option for ride booking for all their rides, unless they complete a ride using some other payment option.
Metrics to track:
Ramp up milestones:
We will ramp up this exercise if:
Atleast 10% users try Ola Money to pay for their rides AND
Atleast 30% of these users show a 20% improvement in the ride completion frequency because of OlaMoney
This campaign will work in tandem with the OlaMoney Product Hook. We will encourage users to try out the OlaMoney ride completion experience
Segmentation type of the user: All active users
Goal of campaign: To increase the frequency of rides booked using OlaMoney as a payment option
Pitch/ Content: “Your Ola experience just got a lot better! Try the transaction-less booking experience with Ola Money”
Offer: 20% off on your first ride using OlaMoney
Frequency and Timing: We will send this campaign to users twice a week, 10 mins before their usual ride booking timings (based on past ride booking trends)
Success Metrics: Increase in the use of the product hook (Rides paid via Ola Money) by 20% in 1 month
We will try to move the causal and core users to be power users
Segmentation type of the user: Casual and Core
Goal of campaign: To increase the frequency of rides booked
Pitch/ Content: “Glide smoothly into your workday with Ola’s hassle-free travel experience”
Inactive Users: Experience a transaction-less ride with Ola. Also get a 20% off on your next ride using OlaMoney.
Offer: 20% off on your next 3 rides
Frequency and Timing: Twice a week for 2 month - On Mondays and Thursdays morning
Success Metrics: 20% increase in rides booked by this cohort in 2 months
We will attempt to plant seeds of a core behaviour change - using comfortable cabs instead of your cars to commute
Segmentation type of the user: Casual and Core
Goal of campaign: To increase the frequency of rides booked
Pitch/ Content: “Extend your productive time, reduce your ‘travel time’ - as our best drivers take you to office”
Offer: 20% off on next 3 Prime Sedan rides
Frequency and Timing: Twice a week - On Mondays and Thursdays morning
Success Metrics: 10% users in the cohort booking 4 Prime Sedan rides in a month
Aimed at Power users - to experience Ola Rentals and Outstation
Segmentation type of the user: Power
Goal of campaign: To drive adoption of Ola Rentals and Outstation
Pitch/ Content: “Take Ola with you on your weekend trips!”
Offer: 20% off on 1st Ola rental/ outstation
Frequency and Timing: Twice a week - Friday evening and Saturday morning
Success Metrics: 10% users in the cohort booking 1 rental/ outstation ride in a month
Aimed at all active users - to build on Ola’s trust and brand recall and to cement the association of Ola as a “Mobility Partner” by becoming a more integral part of their lives
Segmentation type of the user: Active User
Goal of campaign: To drive adoption of Ola Electric bikes
Pitch/ Content: “Experience the marvel of the engineering team at Ola”
Offer: 10% off for next 3 months. Book a free demo now!
Frequency and Timing: Twice a month for 3 months
Success Metrics: 5% users book a free demo/ show interest in buying
Extrapolating the insights gathered via user understanding and based on anecdotal evidences, the current retention rate of Ola will be around 40%.
The curve flattens after around a month.
Which ICPs drive the best retention?
The power users have the lowest churn rate and the hightest retention rate.
Which channels drive the best retention?
Engagement via in-app communication of features and push notification to communicate offers seem to be driving the best retention
What sub-feature or sub-product drives the best retention?
Based on user feedback, competitive and reliable pricing of rides, availability of multiple ride options in all budget ranges and availability of OlaMoney has a major contribution to retention
Churn
Voluntary | Involuntary |
Unpleasant experience with the cab driver | No need to travel anymore - WFH |
High pricing | Bought a new vehicle to commute |
Ride cancellations by driver | Switched to a geography with no Ola penetration |
Unavailability of rides | |
Unpleasant experience with the customer support | |
Unpleasant payment experience |
Negative actions/ occurences:
We can monitor a few negative actions by the users or occurances as a direct or a proxy measure of chances to churn:
Our churned users experienced the core value prop of Ola and yet decided to quit. Based on the actions the user performed on the app, the data-points we might have, we will associate a “probable reason of dropping off” with each of these users. For reasons that we can now can solve for better, we will make them a “Sorry and a promise” pitch. For reasons we have not solved for yet, we will make them a “We know we have led you down. We are working on it and we look forward to your support and encouragement” pitch. In order to not abuse the channel frequency, we will not send out campaigns to users who we have no clue why they dropped off.
User segment: Users who have given a low rating to rides before churning OR User who raised support tickets post ride and then churned
Pitch: “We are sorry to have let you down. We are constantly improving and training our team and would request you to give us one more chance. As a token of promise, avail a 20% off on your next 5 rides with us”
Offer: 20% off on next 5 rides
Frequency and timing: Once every 3 months but only twice. Send based on customised user data of best time to book a ride for that user else default to standard best times (afternoon during/ post lunch, before morning and evening commute/ weekends late evening or afternoons)
Success Metrics: Number of users in this cohort who booked their 1st ride again
User segment: Users who possibly churned because of high pricing (Basic data points - User checked the pricing multiple times but never booked, asked for a refund/ chargeback to customer support, etc)
Pitch: “We are constantly aspiring to better the lives of our riders and also keep the pricing competitive. As a token of appreciation for your support, we are extending a special offer for you. Get a 20% off on your next 5 rides”
Offer: 20% off on next 5 rides
Frequency and timing: Once every 3 months but only twice. Send based on customised user data of best time to book a ride for that user else default to standard best times (afternoon during/ post lunch, before morning and evening commute/ weekends late evening or afternoons)
Success Metrics: Number of users in this cohort who booked more than 5 rides in the next 3 months
User segment: Users who possibly churned because of bad payment experience (Basic data points - Payment failures/ tickets raised to support on being charged more in cash etc)
Pitch: “Now travel cash-free with Ola Money”
Offer: 20% off on 1st ride payment using OlaMoney
Frequency and timing: Once every 2 weeks for 2 months. Send based on customised user data of best time to book a ride for that user else default to standard best times (afternoon during/ post lunch, before morning and evening commute/ weekends late evening or afternoons)
Success Metrics: Number of users in this cohort who completed their 1st ride using Ola Money
User segment: Users who possibly churned because of their rides arriving late OR reaching late OR driver cancelled
Pitch: “Book a ride now with the Ola guarantee”
Offer: Guaranteed ride within 10 mins else get a variable discount coupon on next ride
Frequency and timing: Once every weeks for 1 month. Send based on customised user data of best time to book a ride for that user else default to standard best times (afternoon during/ post lunch, before morning and evening commute/ weekends late evening or afternoons)
Success Metrics: Number of users in this cohort who completed their 1st ride without any issues/ delays
User segment: Users who were quite active on the app but slowly dropped off over time
Pitch: “We miss you. Get 20% off on your next 5 rides”
Offer: 20% off on next 5 rides
Frequency and timing: Once every weeks for 1 month. Send based on customised user data of best time to book a ride for that user else default to standard best times (afternoon during/ post lunch, before morning and evening commute/ weekends late evening or afternoons)
Success Metrics: Number of users in this cohort who completed their 1st ride
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