Porter is a goods transport agency catering to on-demand, intra-city goods movement. Through technology, Porter connects a highly fragmented largely SME customer base with a highly fragmented largely driver-cum-owner partner base.
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We will focus on the demand side user i.e. the customer for the rest of the analysis.
Porter is in the business of providing on-demand, intracity goods transport for small and medium enterprises (SMEs).
Porter is present in 20 cities in India and 2 international countries (UAE, Bangladesh).
Porter has goods vehicles ranging from 2w all the way to 14ft trucks.
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Top Customer Pain Points | Porter Feature | Outcome using Porter |
---|---|---|
Vehicle not available when needed | Digital matchmaking with a | Allocation of vehicle within 5 minutes. |
Cost is high. | Low prices due to high utilization. | 15-20% lower cost per trip. |
Need to negotiate with driver. | Fixed price, well defined service. | No negotiation with driver partner. |
Need to call and check where | Digital tracking. | Real time knowledge of exact location of |
Need invoice for records and filings. | Consignment note. | 100% compliance through automatically |
Pay more due to required vehicle | Select from range of vehicles from | Pay only for most efficient and effective vehicle. |
e-commerce, quick commerce | Digital logistics features expected | Compete by providing similar digital features to |
For a tech savvy SME who needs a reliable yet affordable way to transport goods on demand, Porter is a goods transport agency that provides transparent, cost-effective goods transport pickup within 15 minutes.
If industry perception is that only a known driver will pickup and deliver goods reliably, and SME customers feel that they do not know how to get vehicle on time to move their goods, Porter will always prioritize building trust with the customer by ensuring that goods are always immediately transparently transported.
Competition | Strength | Weakness | Porter Positioning |
---|---|---|---|
Unorganized sector | Familiarity of person, pickup and | Uncomfortable price negotiations. | Vehicle always available. |
Uncle Delivery | Lowe price. | Poor fulfilment. | Vehicle always available. |
Traditional Packers and | Packaging. | High price for short distance. | Value for money price with |
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Parameter | Small SME | Medium SME | Retail | Enterprise | Specialty |
---|---|---|---|---|---|
Industry | Furniture, Textiles, | Chemicals, Cement | Personal use | Automobile | Milk, Newspaper, |
Age | 20 - 40 years | 30 years - 50 years | 15 - 40 years | 30 - 45 years | 20 - 40 years |
Gender | Male | Male | Female / Male | Female / Male | Male |
Location | Market area | Market area | Residential | Outskirts, | Mixed |
Turnover | < 25 crore | 25 to 250 crore | Annual Salary | 250 crore+ | 25 to 250 crore |
Apps | WhatsApp, Facebook, | WhatsApp, Facebook, | WhatsApp, Facebook, Uber, Ola, Maps | SAP, Oracle, MS Office, | ​WhatsApp, Facebook, |
Most Value | Cost | Availability | Convenience | Availability, Invoices | Vehicle load body |
Frequency of use | 2 - 25 times a day | 25 - 100 times a day | 2-5 times a week | 100+ times a day | 25 - 100 times a day |
Key features | Price, tracking | Near real time allocation | Mobile app | Consolidated invoice | NA |
Decision maker | Same | Mix of same and different | Same | Different | Mix of same and |
Willing to spend | For 3w, 400 per trip | For 3w, 450 per trip | For 3w, 500 per trip | For 3w, 400 per trip | For 3w, 450 per trip |
Nuances
Prioritization
ICP | Priority | Adoption Pace | Use Case Frequency | Appetite to Pay | TAM | Distribution Potential |
---|---|---|---|---|---|---|
Small SME | 1 | Medium | High | Low | High | Medium |
Medium SME | 2 | High | Medium | Medium | Medium | High |
Retail | 3 | High | Low | High | Medium | High |
Enterprise | 4 | Low | High | High | Low | Low |
Specialty SMEs | 5 | Medium | Medium | Low | Low | Low |
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Why not the other ICPs?
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Selected ICP: Small SME without vehicle
Selected ICP deep dive
Dimension | Value | Reasoning |
---|---|---|
Adoption Pace | Medium | While small SMEs are not very tech savvy, they still use |
Frequency | High | They do not have own vehicle and cannot afford to |
Appetite to Pay | Low | They are always stretched for working capital. |
TAM | High | The unorganized sector is very significant with millions |
Distribution | Medium | While not very tech savvy, they are still reachable |
Customer persona: Small SME without vehicle.
Goal of the map: Onboarding and activation.
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Overall perspective:
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Porter app experience focused perspective:
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Goal Type | ICP 1 | ICP 2 | ICP 3 | ICP 4 | ICP 5 |
---|---|---|---|---|---|
Personal | NA | NA | NA | NA | NA |
Social | NA | NA | NA | NA | NA |
Financial | Primary: I need low cost | NA | NA | NA | Secondary: I low operational cost |
Functional | Secondary: I need to get reliably. | Primary: I need to manage | Primary: I need to get my | Primary: I need highly reliable | Primary: My goods need specialized |
Small SME without vehicle (selected ICP) deep dive
Why is the JTBD primarily financial and not functional?
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Validation of the financial and functional JTBD through "what keeps him awake at night" customer insights
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Moment 1: Transparent options
For selected pickup and drop locations, immediately, the cost and ETA of different vehicles is displayed. This is quite a contrast to the competition (unorganized sector) where
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Moment 2: Tracking of vehicle
As soon as the trip is accepted by a driver partner. There is clear tracking on the map all the way till goods are picked up and subsequently dropped.
This is quite a contrast to the competition (unorganized sector) where
​
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Moment 3: Rebooking without entering details
There is no need to select pick up and drop locations again. Directly, the details can be reviewed and booking can be made.
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Porter Customer Onboarding Teardown.pdf
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Hypothesis: 3 orders in 1 week
Why orders:
​
Why three orders:
Why 1 week:
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Hypothesis: 2 five star rated orders in 1 week
Why five star rated orders:
​Why two star rated orders:
Why one week:
Hypothesis: 3 orders using the "book again" feature in 1 month
Why booking using "book again" feature:
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Why 3 orders booking using "book again" feature:
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Why 1 month:
Hypothesis: 5 referrals in 1 month
Why referrals:
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Why five referrals:
Why 1 month:
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Hypothesis: Use of at-least 2 categories of vehicles in 1 month
​Why usage of multiple categories:
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Why two categories:
Why 1 month:
North star: M12 retention
L0 metrics | L1 metrics |
---|---|
New user acquired | ​ |
Play store page visited | |
​ | App installed |
​ | App opened |
Account creation completed | |
P90, Average time taken to create account | |
First order placed | |
P90, Average time taken to place first order | |
Orders | ​ |
Sessions | |
"Review Booking" (Price and ETA check) | |
Orders placed | |
​ | Customer cancellations |
Driver cancellations | |
System cancellations | |
D30 retention | ​ |
Sessions on sign-up page | |
Account creation completed | |
First order placed | |
​ | DAU |
MAU | |
DAU / MAU | |
D1 retention | |
​ | D7 retention |
D14 retention | |
Order Ratings | ​ |
Orders completed | |
Rating nudge sent | |
Rating page opened | |
Rating completed | |
Referrals | ​ |
Referral page visited | |
​ | Referral shared on WhatsApp |
App rating | ​ |
​ | App rating nudge sent |
Rating done | |
​ | Rating distribution |
NPS | ​ |
NPS |
​
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