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How would you measure the success of Uber Freight?

Asked at Uber
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  1. Clarification

  • Uber Freight is a freight/logistics platform connecting Carrier (Driver) and Shipper.

  • Mission of Uber Freight “Pricing and negotiation are done without picking up the phone.”

  • As I know, Uber Freight has many different products, such as Mobile App for Carrier, Web App for Shipper to monitor the load real-time. So should we focus on one of them or the whole picture?

    • Assumption: the whole picture

  • What do you mean with “Success”?

    • Assumption: Increase market share because Uber Freight is the new guy on the huge potential market of freight. For that reason, increase in market share would be the top priority of Uber Freight at the time being.

    • Market share = Carrier + Shipper => Assume focus on the Shipper as Shipper is the leading indicator in this market. # of Carriers increase time by time, especially in the time being when lay-offs increase significantly.

    • Goals: Increase market share of Shipper

  • As I know Uber Freight is only available in the US market, is it correct? => Yes

 

  1. User Journey

  • Awareness

    • Hear Uber Freight from their friends, family, partners, …

    • Hear Uber Freight from different marketing campaigns

  • Acquisition

    • Visit website to research about Uber Freight

    • Sign-up for an account 

  • Activation

    • Log-in

    • Schedule for their loads

    • Receive the request from Carrier

    • Accept the request from Carrier

  • Engagement

    • Wait for Carrier to pick up the load

    • Driver pick up the load and ship

    • Monitor the load

    • Unload the load at the destination

    • Make a payment and documentation

    • Give feedback

  • Retention

    • Come back to Uber Freight 2nd, 3rd time, ….

  • Referral

    • Enjoy Uber Freight and refer it to their partners, friends, ...

  • Revenue

    • Revenue of Uber Freight comes from Commission fee

 

  1. Metrics

  • Awareness

    • # of reach from each campaign

    • # of engagement from each campaign

  • Acquisition

    • # of landing page visitor

    • # of new account (Shipper)

  • Activation

    • # of eyeballs (web app opening)

    • # of login

    • # of scheduled loads

    • # of request from carriers

    • # of acceptance

    • Conversion rate of funnel (open -> login -> schedule -> receive -> accept)

    • # of time (open -> login -> schedule -> receive -> accept)

  • Engagement

    • # of waiting time

    • # of loading time

    • # of delivery time

    • # of unloading time

    • # of web access to monitor per delivery

    • # of successful delivery

    • Satisfaction Rate

  • Retention

    • # of DAU, WAU, MAU

    • # time between 2 delivery

    • Churn rate

  • Referral

    • Viral coefficient

  • Revenue

    • $ per week, month, quarter, year

    • $ per delivery

    • $ per shipper

 

  1. Evaluation

Our goal is to increase the market share of Shipper


 

Metrics

Impact

Awareness: Know how much new market share we can reach

# of reach from each campaign

High

# of engagement from each campaign

High

Acquisition: Know how much new market share we can acquire

# of landing page visitor

High

# of new account (Shipper)

Extremely high

Activation: 

# of eyeballs (web app opening)

Low

# of login

Low

# of scheduled loads

Low

# of request from carriers

Low

# of acceptance

Low

Conversion rate of funnel (open -> login -> schedule -> receive -> accept)

Medium

# of time (open -> login -> schedule -> receive -> accept)

Low

Engagement

# of waiting time

Low

# of loading time

Low

# of delivery time

Low

# of unloading time

Low

# of web access to monitor per delivery

Medium

# of successful delivery

High

Satisfaction Rate

Medium

Retention: Know the status of our existing market share

# of DAU, WAU, MAU

Extremely High

 

Check the active status of our current user base.

We should focus on WAU, as Uber Freight is not a daily consumer product. MAU are too long to detect problems.

# time between 2 delivery

Low

Churn rate

High

Referral

Viral coefficient

Medium

Revenue

$ per week, month, quarter, year

Low

$ per delivery

Low

$ per shipper

Low

 

  1. Recommendation

 

  • North star metrics

    • # of new account (Shipper)

    • # of WAU

  • Primary metrics

    • # of reach from each campaign

    • Conversion rate of funnel (Reach -> Engage -> Page visit)

    • # of successful delivery

    • Churn rate

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