Pivot, Reposition, or Shut Down?
Our business model feels constrained, a pivot seems inevitable. As our primary strength is our large user base, we need to reconnect with our users to better understand their needs. This will help us determine whether a revenue model pivot is sufficient or if a deeper shift in our core value proposition is necessary to serve our existing audience effectively.
Ideally, I'd start with a hypothesis. However, since we're exploring a potential pivot, I want to keep be all ears. The objective of this initial research is:
A young professional, student, or gig worker who owns a car but finds fuel and toll costs expensive. He frequently travels between cities and doesn't like driving alone.
High fuel costs but doesn't want to drive alone
BlaBlaCar feels like a dead app—people forget about it
Difficult to find enough co-riders, leading to cancellations
Usually gets one-person bookings and co-riders don't book because splitting into two is costly, forcing lower rates
Lots of awkward silence during trips, questioning if traveling alone would be better due to different preferences in music and food stops
Lets him recover fuel expenses legally while providing companionship
Offers a better alternative to solo long-distance driving
Create a more engaging app experience with regular notifications and incentives for consistent usage.
A student, intern, or gig worker who travels between cities and needs an affordable option. He prefers BlaBlaCar over expensive taxis and last-minute train bookings.
BlaBlaCar doesn't come to mind first—low recall
Struggles to find available rides at the right time
Public transport is unreliable, but BlaBlaCar feels inactive
Provides a cheaper and more comfortable alternative to public transport
Offers flexible scheduling compared to fixed public transport options
Improve app visibility and recall through targeted marketing campaigns and push notifications for available rides.
To explore a legally and financially viable pivot, I'll map our users' JTBDs based on recent research. I'll emphasise on Emotional and Social needs due to market gap and declining brand perception.
The pivoted product should be such that losing carpooling rights should not mean the end of business for us.
If we get it right, I think focusing on social layer of travelling will give us a moat that will be difficult to beat.
Even in a long-term view, once the EVs become dominant in the market, I believe fare will go down and social experience will be a key differentiator.
Meanwhile lets also try to solve for the existing model by solving for declining bookings.
I believe users are placing increasing value on the social experience with co-passengers, as much as the cost of travel. We should solve for the social aspect of travel.
Now I will list problems, identify their root cause and write an approach to finding their solution, and then list the possible solutions.
I will validate our hypothesis of a social travel experience using existing data. Since existing user profiles already include bios, we can categorise users based on their interests and see how often people preferred traveling with those who share similar traits.
To reduce costs, I will narrow down the scope of analysis and see only if those who give more than 4 star ratings to each other on a trip happen to be of the same category or not:
WITH HighRatings AS (
SELECT user_id, COUNT(*) AS high_rating_count
FROM rides
WHERE rating >= 4
GROUP BY user_id
HAVING COUNT(*) >= 2
),
LowRatings AS (
SELECT user_id, COUNT(*) AS low_rating_count
FROM rides
WHERE rating < 4
GROUP BY user_id
HAVING COUNT(*) >= 2
),
FilteredUsers AS (
SELECT h.user_id
FROM HighRatings h
JOIN LowRatings l ON h.user_id = l.user_id
),
MutualHighRatings AS (
SELECT r1.user_id AS user1, r1.driver_id AS user2
FROM rides r1
JOIN rides r2 ON r1.user_id = r2.driver_id AND r1.driver_id = r2.user_id
WHERE r1.rating >= 4 AND r2.rating >= 4
)
SELECT mh.user1, mh.user2, u1.category AS user1_category, u2.category AS user2_category,
CASE WHEN u1.category = u2.category THEN 'Same Category' ELSE 'Different Category' END AS category_match
FROM MutualHighRatings mh
JOIN users u1 ON mh.user1 = u1.user_id
JOIN users u2 ON mh.user2 = u2.user_id
WHERE mh.user1 IN (SELECT user_id FROM FilteredUsers)
AND mh.user2 IN (SELECT user_id FROM FilteredUsers);
This query identifies users who rate each other highly and checks if they belong to the same interest category.
This feature allows riders and drivers to select personality tags that describe their travel style, conversation preferences, and interests.
Instead of randomly matching co-riders and drivers, we introduce tags to help co-riders find a travel vibe that suits them.
We will prompt drivers without a bio to select a tag from predefined categories (based on our pre-SQL data categorisation) and observe co-riders' choices.
These tags eliminate the need for Spotify API - which is an expensive integration. Since most of our user base uses YouTube Premium, this approach is more practical.
This feature allows riders to group with other unknown riders who are travelling to the same or nearby locations around the same day/time.
So even if there are no carpool drivers, the users can group and book a shared cab which will be cheaper than booking a cab alone. Also the group feature will have a referral that can be shared with friends or posted in a group- increasing user acquisition.
The key thought behind this feature is to reduce the drop-off cases when there are multiple co-riders who want to travel to the same location but drivers are not available.
It will disrupt intercity cab booking as it is cheaper because cab is carpooled.
Need to onboard commercial cab drivers in these regions before rollout.
This test will be conducted only in areas where we are not facing regulatory threats. If successful, we can use this model to negotiate with affected regions for a smoother expansion.
Current Business Model Canvas showing BlaBlaCar's existing key partners, activities, propositions, customer relationships, and revenue streams.
Proposed New Business Model Canvas with a pivot toward social connections and community building, featuring new revenue streams like "BlaBlAVibe" subscriptions and value propositions centered around matching users with similar interests, music taste, and personalities.
Our brand repositioning strategy focuses on shifting from a pure carpooling platform to a social travel experience platform. This strategic pivot allows us to maintain our core value proposition while adapting to regulatory challenges and evolving user needs.
Reposition as a 'Travel Community Platform' rather than a 'Carpooling Service' to navigate regulatory concerns while maintaining our core offering.
Emphasize the social connection aspect of travel, highlighting the benefits of traveling with like-minded individuals.
Introduce subscription model for premium features that enhance the social experience without directly monetizing rides.
Develop strategic partnerships with corporate clients to create closed carpooling networks for employees.
With improved social data and a growing driver base, we will be by now positioned to disrupt the commercial carpooling industry. Ola and Uber take a significant commission from drivers, which presents an opportunity for us to offer two clear advantages to daily commuters:
Travel with people you genuinely connect with.
Pay less for carpooling to work.
Our advertising efforts should now target non-restricted cities to gain traction before broader expansion.