Wayo is On-Demand Intracity logistics platform that allows users {can be businesses (SME's/retail stores) or individuals} to transport anything (from a document to a king-size bed - wide range of vehicles from 2W to 8ft) from point A to point B (within the same city as of now) in a safe (our drivers are verified - background check is done) and cheap manner
Users can also use the application for the following use cases:
Parameter | ICP 1 | ICP 2 |
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Name | Mr. Amit Gupta | Mr. Pranav Dev Singh |
Demographics |
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Profile |
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Vehicle Owned | 3W Load carrier - Bajaj Maxima | 3 - 3W- Baja Maxima 1- 4W -Tata Ace |
Problems Faced |
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Originally from | Bihar | Uttar Pradesh |
Solution to the problem |
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Technical Competence |
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General Working Hours | 11-12 hours a day | 9-10 hours/day |
What do they aren't working? |
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Where do they spend their time online? |
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How did they get to know about Wayo? |
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What do they spend their time on? |
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What do they spend their money on? |
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If not Wayo, then what? |
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What is the earning on the platform? |
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Monthly earning potential |
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Number of trips/day |
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I have just taken the ICP among the truck (3W/4W) owners. There could be 2W drivers as well, but that is out of scope as we are charging a flat out commission from them
Among the above 2, we are primarily focusing on ICP 1 as that is ~85-90% of the onboarded driver base (owner driving the vehicle as well)
We would further segment the ICP 1 into three segments - Casual; Core (Secondary); Power (Dedicated) Drivers
The definitions is as follows:
Parameter | Casual | Core (Secondary) | Power (Dedicated) |
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Login Hours | 10-12 hours/week | 20-24 hours/week | 30-36 hours/week |
Order Acceptance % | 20-40% | 40-60% | 70-80% |
Weekly Earning | ~3-3.5k/week | ~8.5-9k/week | ~10-12k/week |
Number of orders on Wayo | 1-2 trips/day | 3-4 trips/day | 5-7 trips/day |
If not Wayo, then what? |
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The retention graph is as follows:
As per the graph, it turns out to be a smile curve, where the graph shoots up after M5. This is a good sign and we might be ready for monetization
The Dedicated (Power) + Core users contribute to >80% of the daily active partners (logging in for >=1 hour in a day) for September to January
As per the litmus test, we are in the green here as well. Hence, we are okay to go forward with monetization for the particular set
That has been done in the section above
As described above, we are focusing on ICP1 as that constitutes a large driver base. Also, among this ICP, we are focusing on the Core and Power users
Their problems have been listed in the above ICP bifurcation tab (marked in yellow)
Define your GTM strategy by identifying the right customer touchpoints and develop the right communications for these touchpoints.
Points covered in the GTM Strategy are:
Wayo is On-Demand Intracity logistics platform that allows users {can be businesses (SME's/retail stores) or individuals} to transport anything (from a document to a king-size bed - wide range of vehicles from 2W to 8ft) from point A to point B (within the same city as of now) in a safe (our drivers are verified - background check is done) and cheap manner
Users can also use the application for the following use cases:
The driver has multiple touchpoints with the application. Some of them are:
It builds trust among the drivers in the following ways:
We have a dedicated youtube channel with all the relevant info. We can check that out here
The youtube channel covers videos on:
Attempt has been made to approach the problem by looking at three key aspects:
Our typical user is a driver cum owner who has bought the vehicle on EMI. This is deeply covered in the ICP section before
Drivers, if they want to continuously work for Wayo, would be paying for the following things:
Paying For? | Factors | Details |
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Convenience | Ease of earning |
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Instant Settlement |
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Stable source of earning |
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Since the user for the product is the driver base, all the answers here are from the Drivers POV
This has been tried to be answered by enlisting the substitutes and comparing them across various parameters:
Substitute/Factor | Ease of working | Needs physical effort? | Pricing | Core users | Earning Potential | Cash Fluidity | Earning Model | Tech Understanding Required | Major Pain point |
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Wayo | Easy | Low | Rs. 40/km |
| Moderate - High | Easy to withdraw - can withdraw instantly | Subscription based - no commission charged on the every order | Moderate | Less demand - not enough orders as compared to other platforms |
Porter | Easy | Low | Rs. 42/km |
| Moderate - High | Easy to withdraw - can withdraw instantly | Commission based - take rate on each order | Moderate | High commission rates with lesser fares |
Local Naka | Easy - Moderate | Medium | Rs. 45/km |
| Low - Moderate | Might be some cases where cash gets stuck | No commission | Low - Moderate |
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Fixed Contract | Hard - requires stringent SLA norms | Medium - High | Rs. 40/km |
| Moderate | Mostly works on credit - not fluid | No commission - final payout done after X days | Low | Credit cycle is very high |
Since out product offers convenience for the driver, as seen above, we would be charging him more on this.
Our charging model will not be subscription but a subscription model, which will help in better driver retention and supply build up
We checked the litmus test and found that we are ready for monetization (checking the retention curve and core and power user segment contribution to the Active partners)
In the following section, we will cover whom to charge in a little detail
(Conduct an RFM Analysis and identify the users that you are monetizing and think about why them and not others?)
For the sake of simplicity, adding the image showing the MoM contribution of Power, Core and Casual drivers here:
Doing the calculation for the month of January
We are also assuming an adoption factor. This is an estimate on the number of drivers who would be willing to pay for the daily subscription charge.
These assumptions are based on two key elements:
Segment | Daily Earning | Daily Subscription Amount | Adoption Factor | Rationale for adoption factor and the price point | Competition Take Rate |
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Power | Rs. 2.5 - 3k | Rs. 99 | 30% |
| 15% on every trip |
Core | Rs. 1.5 -1.8k | Rs. 49 | 30% |
| 15% on every trip |
Revenue from subscription:
Revenue Generated/Month= (Number of login days) X (Number of Power Users) X (Adoption Factor) X (Subscription Charge/day)
Power Users:
Revenue = 1513 * 20 * 30% * 99 = Rs. 8,98,722 (a)
Core Users:
Revenue = 1343 * 12 * 30% * 49 = Rs. 2,36,905 (b)
Net Revenue: (a) + (b) = Rs. 11,35,627
Based on the segments we are choosing - Power and Core, the price is already mentioned in the above table. Also, the rationale for choosing the adoption factor has been mentioned above
I have tried to tweak the RFM Plot in a minor way. The proxies and the rational I have taken are as follows:
Initial Parameter | Proposed Parameter | Why the tweak? |
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Frequency | Average Number of login days for the partner |
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We would be charging from two segments: The Power and Core users
The price points and the rationale for those price points have been mentioned above
In this section, we will deep dive into another fundamental question: When to charge
There are many aspects that the drivers see useful in our platform. Deep diving into those with the help of a table as below:
Value determined through? | Details | Explanation |
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Extra Earnings | Stable source of income |
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Convenience - Time Saved | Aggregated demand |
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Instant Settlement |
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Increased Efficiency | Efficient asset utilization |
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A detailed comparison between the competition and us is laid out:
Competitor | Earning Potential | Ease of usage | Payment cycle | Revenue Model | Vehicle Utilisation |
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Porter |
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Wayo |
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Local Naka | Moderate - High |
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To map out the driver's journey, we need to understand the subscription design first.
The subscription design are mentioned in the previous and section below:
Core Users: Earning >= 6k in the last two weeks
Power Users: Earning >= 3.5k in the last two weeks
Segment | Daily | Weekly |
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Power Drivers | Rs. 99/day | Rs. 449/week |
Core Drivers | Rs. 49/day | Rs. 150/week |
Power Drivers:
The perceived value generated by the platform: >= Rs. 1000/day
Amount charged for that perceived value: Rs. 99/day
Core Drivers:
The perceived value generated by the platform: >= Rs. 600/day
Amount charged for that perceived value: Rs. 49/day
The partner, since the day he gets onboarded onto the platform, uses it for 15 days. If his last 15 days earnings >= 6k/week consecutively, he gets shown the subscription flow page
In this section, we are trying to understand another fundamental question: What to charge for?
Wayo is On-Demand Intracity logistics platform that allows drivers {can be owners-cum-drivers or fleet owners} to get a stable source of income as per their availability and need. Also, the platform allows the drivers to withdraw their earnings instantly
The major category we are charging for is Output. The reason for the same is the driver is allowed to go online (as per their convenience) and receive orders. The greater the orders he completes, the greater are his earnings.
To understand how much to charge, I have taken the unit economics of a driver and then build up the cost we are charging from him
* This unit economics calculation is after speaking to 50+ drivers and taking median values for them
* This is for a 3W driver only
Parameters | 3W | Assumptions |
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No. of days | 26 | Assuming the driver takes off on Sundays |
No. of km/day | 80 |
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Vehicle Price | 2,50,000 |
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Fuel Type | Diesel | |
Diesel Price (Rs./L) | 87.67 |
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Fixed Cost | 22000 | (A) + (B) |
Driver Salary (A) | 17000 |
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EMI (B) | 5000 | Assuming:
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Fuel Cost | 9141 |
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Mileage (km/l) | 20 | |
Per km Cost (Rs/km) | 4 | |
Distance (km) | 2080 |
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Maintenance Cost | 1040 | |
Per km Cost (Rs/km) | 0.5 |
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Distance (km) | 2080 |
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Total Cost | 32,181 | |
Extra Take Home | 15% |
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Target - Take Home | 37,000 |
Target take home/day = ~Rs. 1400/day
Now, taking a look at the category wise pricing:
User category | Average earning/day | Suggested subscription amount/day | % Take Rate (/day) |
Power User | Rs. 2500/day | Rs. 99 | ~4% |
Core User | Rs. 1200/day | Rs. 49 | ~4% |
To keep the adoption lenient, we have started with a ~4% take rate initially. We are also looking at the last 15 days performance together and will then only segment the drivers into the above segments.
We are not charging anything from the casual and new users right now (proposed 4 weeks) as we would first want build perceived value of the platform.
The steps in a nutshell:
(Get onboarded >> Try the platform >> Get them used to it >> build a stable earning >> charge subscription)
The pricing page teardown with all the steps can be found in this document
This document covers the following points:
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