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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ICP Parameter | ICP 1: Small SME without vehicle | ICP 2: Medium SME with vehicle | ICP 3: Retail | Enterprise | Specialty |
Industry | Furniture, Textiles, Retail, Wholesale | Chemicals, Cement | Personal use | Automobile | Milk, Newspaper, Oil |
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, Industrial area | Mixed |
Turnover | < 25 crore | 25 to 250 crore | Annual Salary ~10 to 50 lakh | 250 crore+ | 25 to 250 crore |
Apps | WhatsApp, Facebook, Khatabook, | WhatsApp, Facebook, Tally, Excel, Maps | WhatsApp, Facebook, Uber, Ola, Maps | SAP, Oracle, MS Office, Maps | βWhatsApp, Facebook, Tally, Excel, Maps |
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 vs operator | Same | Mix of same and different | Same | Different | Mix of same and Different |
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 |
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Top Customer Pain Points | Porter Feature | Outcome using Porter |
Vehicle not available when needed due to known driver being busy. | Digital matchmaking with a large pool of driver-partners. | Allocation of vehicle within 5 minutes. Arrival at pick-up point within 15 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 my goods on-the road. | Digital tracking. | Real time knowledge of exact location of the goods and vehicle. |
Need invoice for records and filings. | Consignment note. | 100% compliance through automatically obtained email consignment note after trip ends. |
Pay more due to required vehicle not being available. | Select from range of vehicles from 2w all the way to 14 ft trucks. | Pay only for most efficient and effective vehicle. |
e-commerce, quick commerce competition is eating into the business. | Digital logistics features expected by end customer. | Compete by providing similar digital features to the end customer. |
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.
We will focus on the demand side user i.3. the customer
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.
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Key elements of CVP | Porter | Major Competitor (Unorganized) |
Reliable | Vehicle is always available in-app due to thousands of driver partners in a given city | Each customer may only know 2-3 drivers who can bring goods vehicles. |
Affordable | 10-15% cheaper. Higher demand leads to higher vehicle utilization which leads to being able to offer lower price per trip since the per day earning will be higher because of higher number of trips. | Costly due to the need to pay for return trip also. There is limited set of drivers known leading to higher / willful pricing. |
Transparent | Vehicle category, price, ETA are clearly mentioned even before booking. There is automatic tracking through the app. | There is always negotiation on price. There is uncertainty on when vehicle will get free and come. There is manual tracking post pick up. |
Every time a customer enters pickup and drop, and tries to find a vehicle, they will see that a vehicle is available within a small ETA. Further, when they order, they will get the vehicle.
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Every time a customer tries to book a trip, they will see that a vehicle is available with a price that is cheaper than what they will find with the major competitor (unorganized sector). Further, when the order is completed, they realize this value when they pay the lower amount.
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Every time a customer tries to book a trip, they see ETA and price clearly. What they see is what they pay once order is complete. Once they book, they will see the vehicle in the tracking screen.
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Yes, company is growing rapidly at scale.
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Yes, retention stabilizes at 25% at M6.
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Yes
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Based on the litmus test, Porter passes the litmus test
Product is already monetizing. The focus will be to build at least three experiments to solve for increased cross / up-sell
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With Porter, the use case is to move goods from Point A to Point B.
Core value prop: 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.
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Key elements of CVP | Porter | Major Competitor (Unorganized) |
Reliable | Vehicle is always available in-app due to thousands of driver partners in a given city | Each customer may only know 2-3 drivers who can bring goods vehicles. |
Affordable | 10-15% cheaper. Higher demand leads to higher vehicle utilization which leads to being able to offer lower price per trip since the per day earning will be higher because of higher number of trips. | Costly due to the need to pay for return trip also. There is limited set of drivers known leading to higher / willful pricing. |
Transparent | Vehicle category, price, ETA are clearly mentioned even before booking. There is automatic tracking through the app. | There is always negotiation on price. There is uncertainty on when vehicle will get free and come. There is manual tracking post pick up. |
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Substitute way | Cost | Reliable | Transparent | Ease of use | Physical effort | Pricing | Core users | Reason for use |
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Porter | Low | Medium | High | Easy | Medium (Loading, Unloading) | Rs. 300 for 5 km | Tech savvy SMEs with | Vehicle availability |
Unorganized (Naaka) | Medium | Low | Low | Moderate | Low | Rs. 350 for 5 km | Traditional SMEs | Familiarity with the driver |
Own vehicle | Variable | High | Medium | Easy | Low | High (EMI, Driver Salary) | Medium and Large SMEs with large, | Full control |
Long term contract | Medium | High | High | Easy | Low | Variable (Usage dependent) | βMedium and Large SMEs with large, | Full control |
Given that the the product is transactional since Porter needs to immediately pay the driver-partner to cover their significant operational costs (Fuel, EMI etc.) and livelihood. Hence, we will charge every customer.
Customer segment | Charge? | Why |
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Casual | Yes | Transactional product with significant cost |
Core | Yes | Transactional product with significant cost |
Power | Yes | Transactional product with significant cost |
Perceived value | Applicable? | Reasoning |
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Money | Yes | Customer is looking to compete with online and large players who have highly efficient cost structure. |
Time | Yes | Finding a driver, negotiating with them, tracking them |
Dopamine | No | There is no exclusivity or any other social status aspect built into the product for now. |
Efficiency | Yes | Compared to a sequential way due to limited contacts or limited vehicles, |
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Value | Charge? | Reasoning |
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Time | No | Core value prop realization is not dependent on the time |
Output | Yes | Transactional product. Need to charge per trip to be able to |
Access | No / maybe | Not for now. For high frequency customers, there is a potential |
Shareability | No | Not for now. CO2 savings could be something to consider |
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Key elements of CVP | Porter | Major Competitor (Unorganized) |
Reliable | Vehicle is always available in-app due to thousands of driver partners in a given city | Each customer may only know 2-3 drivers who can bring goods vehicles. |
Affordable | 10-15% cheaper. Higher demand leads to higher vehicle utilization which leads to being able to offer lower price per trip since the per day earning will be higher because of higher number of trips. | Costly due to the need to pay for return trip also. There is limited set of drivers known leading to higher / willful pricing. |
Transparent | Vehicle category, price, ETA are clearly mentioned even before booking. There is automatic tracking through the app. | There is always negotiation on price. There is uncertainty on when vehicle will get free and come. There is manual tracking post pick up. |
βReliable: "Vehicle is always available in-app"
Every time a customer enters pickup and drop, and tries to find a vehicle, they will see that a vehicle is available within a small ETA. Further, when they order, they will get the vehicle.
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Every time a customer tries to book a trip, they will see that a vehicle is available with a price that is cheaper than what they will find with the major competitor (unorganized sector). Further, when the order is completed, they realize this value when they pay the lower amount.
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Every time a customer tries to book a trip, they see ETA and price clearly. What they see is what they pay once order is complete. Once they book, they will see the vehicle in the tracking screen.
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Hypothesis: If we guarantee vehicle arrival at pickup within 10 minutes, customers sending goods from one retail shop to another will be happy to pay 15% extra.
Setup:β
Select sample size to ensure statistical significance based on delta earnings expected.
Do A:A test to ensure that test and control groups are identical and there is no bias.
Additional price calculation:
Within 10 min ETA translates to
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Y + Z per trip translates to ~20% additional potential savings per trip.
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Metrics:
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Metric Type | Metric |
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North Star | Delta earnings |
Success | % of targeted customers adopting the pricing |
Leading metric | CTR of the option |
Guardrail | P95 of actual ETA achieved |
Guardrail | Additional cost incurred in achieving 10 min arrival |
Guardrail | Customer complaints |
Guardrail | Driver partner complaints |
Hypothesis: If we guarantee scooter instead of a bike / scooter when 2w is ordered, retail customers will be happy to pay 10% extra.
Setup:β
Select sample size to ensure statistical significance based on delta earnings expected.
Do A:A test to ensure that test and control groups are identical and there is no bias.
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Additional price calculation:
Providing Scooter instead of Bike translates to
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Y + Z per trip translates to ~10% additional potential savings per trip.
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Metric Type | Metric |
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North Star | Delta earnings |
Success | % of targeted customers adopting the pricing |
Leading metric | CTR of the option |
Guardrail | Fulfillment of the new category |
Guardrail | Driver partner earnings |
Guardrail | Customer complaints |
Guardrail | Driver partner complaints |
Hypothesis: If we increase price of > 6 km trips by 20%, we will still be the most economic option and hence, customers will continue to use Porter.
βSetup:β
Select sample size to ensure statistical significance based on delta earnings expected.
Do A:A test to ensure that test and control groups are identical and there is no bias.
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Additional price calculation:
Y - X per trip translates to ~30%. Porter can add ~20% and still be the most economic option.
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Metric Type | Metric |
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North Star | Delta earnings |
Success | % of targeted customers adopting the pricing |
Leading metric | Conversion of the Quote to order placed funnel |
Guardrail | Fulfillment of the new category |
Guardrail | Retention of the targeted customers |
Guardrail | Customer complaints related to increased price |
If we guarantee closed body instead of a open body truck when truck is ordered, SME customers will be happy to pay 5% extra.
βSetup:β
Select sample size to ensure statistical significance based on delta earnings expected.
Do A:A test to ensure that test and control groups are identical and there is no bias.
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Additional price calculation:
Providing closed body instead of open body translates to
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Y per trip translates to ~5% additional potential savings per trip.
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Metric Type | Metric |
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North Star | Delta earnings |
Success | % of targeted customers adopting the pricing |
Leading metric | CTR of the option |
Guardrail | Fulfillment of the new category |
Guardrail | Driver partner earnings |
Guardrail | Customer complaints |
Guardrail | Driver partner complaints |
Hypothesis: Enterprise customers will provide 30% more orders if price is reduced by 10%
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βSetup:β
Select sample size to ensure statistical significance based on delta earnings expected.
Do A:A test to ensure that test and control groups are identical and there is no bias.
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Additional price calculation:
Looking at lower priced competitor's wallet share compared to Porter, it is apparent that providing a lower price by 10% translates to
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Metric Type | Metric |
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North Star | Revenue increase from enterprise customers |
Success | Orders growth from Enterprise customers |
Success | % of targeted customers adopting the pricing |
Leading metric | Quote to booking funnel conversion |
Guardrail | Profitability at contribution margin level |
Pricing discovery
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Price discovery happens on the pricing / quote page for regular customers and Pricing page for enterprise customers.
Pricing / quote page:
Enterprise pricing page:
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