There's been a wide array of reactions on social media about the ban that the Delhi government imposed on
surge pricing on Uber and Ola cabs in New Delhi. The Delhi Government did this as part of their on going rule to control vehicular traffic by enforcing the odd-even rule.
Now before I put forward my
arguments against surge pricing, and talk about my observations and experiences, I would like to go talk about a few
things. Namely, what exactly is surge price, and what are driver incentives, and how they tie up to form part of the business models of these aggregator businesses.
The following narrative, is based on my experiences with Uber in Kolkata, New Delhi,
Bangalore, and Jodhpur. I single out Uber because I have found Uber to be
better than Ola with their price points and services. I have had some harrowing
experiences with Ola, which is why I haven’t availed their services in over a
couple of years now.
The Quick and Dirty Business Model
Uber and Ola are car "aggregator" services, their value-proposition or core offing is an app that provides consumers with cost effective options of availing safe, clean and air conditioned taxis. These taxis are the business partners with these aggregators. Uber calls them "Driver Partners". Uber is right now not making any money, and is "investing" in India. The drivers are paid by Uber weekly. The app is maintained by engineers in the US, and uses Google Maps APIs. (this is my guesstimate though). The distance between points is measured via GPS locations, and is most of the time, accurate up to 5 meters.
In Kolkata there are two categories of Uber, namely, Uber Go, and Uber X. UberGo charges 7 bucks a kilometer, and X charges 9 bucks a kilometer, on top of a minimum fare.
Surge Prices
Now to match demand with
supply, they introduced the concept of a surge price. If the demand for cabs in
a particular area is high, and availability of cabs is low, they implement a “surge
price” that, they claim, encourages more drivers to go to these “demand
hot-spots” to help commuters get taxis. As to its efficacy, I have no idea, as I haven't had access to their data.
In principle, this sounds
logical, and is in fact welcome, as this solves problems on both sides of the
coin. That is, helps commuters get cabs, and also incentivizes drivers to go to
hot-spots. This, though, is in theory only, as I will explain with my specific cases.
Driver Incentives
Let me talk about Kolkata as an
example. When Uber first launched in Kolkata way back in 2015, to get drivers
on board, Uber announced ridiculous incentives. Some sample schemes were:
Drivers will get 5 times the amount that comes up on the “meter”, with an
additional 300 bucks per ride, irrespective of the duration and length of the
commute.
Driver numbers surged from a mere
200 cabs to a whopping 20,000 cabs in a span of a year.
Today there are about
20,000 Ubers on the road, and a similar number of Olas. This number might
change, as a lot of Uber cab drivers are migrating to Ola. I will talk about
this in a bit.
(*this data as obtained from my
interactions with various senior “driver partners” with Uber)
Now with such a huge number of
cab drivers, Uber changes its incentive strategy from time to time, usually on
a bi-weekly basis, as it tries to manage both the demand and supply side of things. By demand side of things, I mean, their marketing team runs promos such as:
- Avail a minimum of 3 rides in the next 3 days, and get a chance to win 100 rides
- Refer a friend to Uber, and you get 3 free rides, and your friend gets 2 free rides.
For supply side of things, as of two weeks ago, the
incentive structure was:
- Complete
11 trips in a day, you get an incentive of 2400/day (with a certain rating)
- Complete
14 trips in a day, you get an incentive of 3000/day (with a certain rating)
Now the amounts that I quote
might not be exact, but it’s in the right range, with a tolerance of 10%.
The
ratings I refer to here, are the ratings passengers give drivers after
completing a trip. (on a scale of 5, usually the floor rating is that of 4 to
be eligible for most incentives)
Uber incentivizes drivers to
complete more trips during “peak hours” i.e., during the morning office commute
time, and evening office commute time. At times Uber also pays driver partners an extra x % on top
of the metered fares.
On the driver side of things,
those who enrolled with Uber during its initial days, made a killing, earning any thing from between 200k to 300k INR a month. As a result working for 20-25 days in a month earned
them awesome money. If some stories I hear are to be believed, people paid off
a Swift Dzire sedan loan within 6 months.
Some other positives that stemmed from its initial days of "incentives" were, that these drivers were able to send their kids to better schools,
and have a better life in general.
Some “owners” (entrepreneurs who bought the cars, and hired a driver for 15k to drive for 8 to 10 hours a day) made a killing, investing in more cars, and enrolling them
with Uber.
This was the hook Uber used to
on-board more “Driver Partners”.
Now with the passage of time, incomes from Uber
has reduced significantly. Drivers who brought their own cars on loans, are struggling to balance
their EMI payments, enhanced lifestyles, and car maintenance costs. Summer
months become especially challenging, given that the air conditioning remains
on most of the time, resulting in more operating expenses.
Hypothetically, now, a driver who completes on an average of 14 trips a day, earns up to 150k.
This however is a tough task, as now there are more cars on the road, so there is plenty of supply and demand hasn't increased at the same rate yet.
Given these factors, “owners”
push their drivers to:
- Complete
more trips, and
- Earn
“more” per trip by plying during surge hours, at surge "hot spots".
“Driver-owners”, too, follow
these guidelines.
How this Ties to Surge
Now given this context, Uber
drivers now earn more when they drive on surge rates, in these "hot spots". What is ideal is, making
short trips within a surged location. This way, the driver is able to complete the stipulated number of trips, and also able to make the extra incentive money.
Gaming the Surge: The case study
Now my office location is a
little far away from the downtown, and invariably, every morning and evening
I witness crazy surge rates (anything between 2x to 5x), as cabs are hard to come by when you need them
most.
This got me thinking, if it was
really a surge, or if the system was somehow getting gamed.
This thought was
triggered off when I observed that there were about 4 to 5 Uber cabs in the
vicinity, which were not showing up on the app.
I did some digging around and
this is what I found.
Uber drivers congregate at
locations where they see consistent historic surges during “peak hours” and log off of
their Uber Driver apps. For example, if the surge kicks in at 5PM, they will reach the location at 4:45PM and log off.
This leads the system to think that there are no cabs
in the vicinity. The driver partners keep logging in from time to time on the Uber "Passenger App", to
check where the surge is at.
When it reaches a fairly meaty number, they log
back in and desperate “riders” book rides via the app.
Now the beauty/dark side
of the surge is that the surge rates are "on" for a period of 30 minutes (on an average), after which it refreshes itself based on number of requests and number of Ubers in the area.
The moment the surge starts to drop, the drivers simply log off again,
and wait for 30 minutes for it to go up again. As a result it creates an artificial
shortage of supply.
Agreed, that only the most
desperate commuter would be willing to pay higher rates (at times 3 to 5 times
the norm), but it still leaves one with the feeling of getting fleeced. To make matters worse, I have witnessed surge rates of about 7x near the airport, the AIRPORT!
You might ask me, then what about
completing the number of trips in the given time. Uber drivers have found yet
another ingenious, and admittedly cruel, way to game the system. And I have
fallen prey to this more than once.
The Uber driver requests the passenger to not enter the destination on the app. Before the rider arrives at
his/her destination, the driver quickly ends the trip about a kilometer from
the destination. Post this, the driver requests the rider to book the same cab once more, only this time to change the mode of payment to cash. All this while the driver and
rider are in the car. What this leads to, is the driver gets two rides in the same
time from the same passenger. The passenger isn’t asked to pay for the second “cash”
trip, and the driver ends the trip within a kilometer or less.
What the driver does is within
the rules of what is possible, as a result this creates a win-win situation for
the driver, AND commuter. Why? Well, because this saves the commuter a surged
rate for a kilometer, and helps the driver completes 2 trips on a surged rate. Yes, the driver doesn't get paid for the second trip (its been booked in cash, remember?) but his cost for a kilometer is 5 bucks anyway.
What this does, and why it’s not helping: My opinion
This leads to tremendous
frustration at the commuter end, and frankly, I can’t help but feel a little
cheated. This is also not the permanent solution a bigger problem, as there are
aspects that require deeper, more mature thought.
I will talk about them one by
one.
Luxury vs Economy
When you start talking about
providing “premium” services at affordable rates, it causes some amount of
cognitive dissonance. Not for any other reason, just because such a thing is
rare, and perhaps is unheard of.
Last a company tried doing this (affordable-luxury) in India,
employees did not get paid for a year, and the “King of Good Times” borrowed a
whole lot of money from banks that he’s now struggling to return.
This makes “premium” rides an
affordable commodity which can be dangerous if not executed well, and at the
same time make for a highly attractive market opportunity, if executed well.
Sustainable Business Model?
What concerns me is the way the
two aggregators are playing the game right now. The costs are getting driven
further down with each player trying to capture market share.
As a fall out of this fight to death, what bothers me most is the
driver incentives scheme.
For example, Ola in Kolkata recently announced,
that they will pay drivers an additional 25k to get the bumpers of their cars
painted in Ola Green, and announced an incentive structure that betters that of
Ubers’. As a result a host of drivers went and signed up with Ola, while still
retaining their Uber phones. (this is why I am not sure on the exact number of Ubers and Olas on the road, but as of three weeks ago, Uber had around 20,000 cars)
What these kinds of initiatives create is a very
tiny short-term gain, but impacts the life of the driver in significant ways,
because with this one time capital injection, the driver will not be able to
plan his/her life in the long run.
The commuter will look at the
cheapest option and book rides there. But that doesn’t solve either ones’
troubles, because drivers will figure out a way to game the system again for
their benefit.
While the competition in the
market is good for the consumer, it puts a lot of pressure on those meeting the
demand.
The other thing that bothers me, is that both these aggregators are fighting
till one of them runs out of money and dies.
Problem is they are betting with investors’
money, but ultimately people might get affected, after all, all this money has a source, even if it is your Angel, Seed, and Series A-to- Z funds, and in some cases with
irreversible incidents.
Is this a sustainable business model? No, it is not. No business wants to lose money, they will have to turn into a profit making venture before they can even think of going the IPO route.
Will they get the money via IPO which meets their
expectations when they go public? Maybe not. But this is a topic for another
blog post.
My proposed solution: Initial thoughts
It’s not that I am against surged
rates. I am not too overtly fond of times when surges exceed reasonable limits.
When a lever doesn’t act in the intended way it needs to be revisited and
re-imagined. I would like to see a ceiling for surged rates that would prevent
the commuters from getting fleeced by drivers trying to make more money, at the same time "encourage" drivers to go to surged "hot spots".
This alone, however, wouldn’t
work. Driver incentive schemes should be relooked at. Maybe rewarding drivers
based on rider feedback, and miles covered, instead of the number of trips
covered, can be looked at.
I am not trying to paint the
drivers in a negative light here. They are doing what they can do within the system, while its still fair. They aren't breaking any law at all.
All I am saying is, the system can be gamed, and
there need to be certain checks in place to stop this from happening.
Maybe raising the floor prices can be a start. Raise the floor, cap the ceiling. Maybe this might create avenues for further creative aggregator companies to step into the marketing. Who knows, we might have better services.
This
requires deliberate thought, and a comprehensive execution plan of action that is aligned to what the aggregator envisions for the Indian market.