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How would you measure the success of Uber Grocery?

Asked at Uber
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Clarifying question
1)Uber Grocery is a new app or integrated into a uber ride or uber eats. --> for simplicity think as a new app
2)It is available for both mobile app and web versions --> no only consider mobile app
3)what is meaning of success here --> it means increased market share for uber grocery
 
Uber Grocery is an on-demand grocery delivery service major competitors in this space are Instacart, Amazon, and Walmart. Three major entities of this market place Customers, Shoppers, and Delivery partners. For this conversation, I would like to focus on the Customer. Customer User journey defines into two phases.
 
Pre-Order Journey
Open APP (Via social media ads, notification)--> Browse banner page --> search product -->Browse the list of products --> product page --> ad to cart (or ignore browse again) --> payment -->Order placed.
 
Post Order journey
Track order --> Order confirmed by store --> Delivery partner assigned --> order picked up --> delivered --> accepted or return --> review
 
Targeting metrics
  • CTR on paid ads
  • CTR on different campaigns(PN,Email,WhatsApp,SMS)
 
Awareness
  • # of acquisition form different channel(FB,Instagram,google)
 
Activation
  • # of sign-ups/ # of downloads
  • # of completely new users(monthly)
 
Adoption
  • # of users who completed at least one order / # of signups
 
Engagement
  • # of  order per user(weekly,monthly,daily)
  • Average session time per user
  • Conversion rate on top SKU
  • # of search on top SKU
  • bounce rate
  • cart abandonment rate
  • drop rate on product page
  • drop off rate on payment page
  • # of product order vs # of add to cart
  • repeat purchase rate
  • frequency of purchase
 
Retention
  • DAU,MAU,WAU
  • retention rate
 
Return flow
  • % of RTO order return rate
  • % of Order return rate
  • % of a negative review
  • % of compliant raise
 
Referral
  • NPS
  • Play store rating
 
Revenue
  • Average order value per user
  • CLTV
  • Average delivery cost per user
 

 

Among all  # of orders per user is north start metric to track.
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Metrics Question: How would you measure the success of Uber Grocery?

 

  1. Clarifying

  • Product description

    • Mission: Bring you closer to the things you need, all in one place

    • 3-sided marketplace

      • Customer (household)

      • Suppliers

      • Shipper

    • In-app feature of Uber Ride and UberEats

    • No website version

  • “Uber Grocery” mean the whole product of a specific feature? => Whole Product

  • What does “success” mean? (Our goals)

    • Assume: Increase market share as Uber Grocery is a new guy in the market (Walmart, Amazon, Instacart, …)

  • As I know market share would include 3 sides, customer, suppliers, and also shippers. So which we should focus on?

    • Assume: Customer - household because this segment have a great impact on the business model of Uber Grocery

  • Specific market: the US

  • Specific time: No

 

  1. Goals

  • Increase market share (customer - household)

 

  1. User Journey

  • Awareness

    • Hear from friends, family, or co-workers

    • See advertisement

  • Acquisition

    • Visit information website

    • Downloads app (Ride or Eats)

    • Sign-up for account

  • Activation

    • Open UberEats 

    • Look for a store (supplier)

    • Select items

    • Look for a shipper

    • Wait for shipping

    • Receive the package

    • Give feedback

  • Retention

    • Enjoy the experience and come back 2nd time, 3rd ,.....

  • Revenue

    • Commission fee

    • Advertising fee

  • Refer

    • Love Uber Grocery and refer to their friends, family, co-workers

 

  1. Metrics

  • Awareness

    • # of acquisition from different channels (FB, Instagram, Google Ads, …)

  • Acquisition

    • # of web visits

    • # of app downloads

    • # of completely new users

    • # of new users from other products (UberEats, Rideshare, …)

  • Activation

    • # of eyeballs (App Openings)

    • # of stores finding before make a delivery

    • Store Zeros - # of times when users cannot find nearby stores

    • # of time to find & select

    • Cart size

    • Shipper Zeros - # of times when users cannot find nearby shippers

    • # of waiting time (book -> find a shipper -> receive package)

    • # of distance (shipper’s location -> stores -> customer)

    • Satisfaction rate

  • Retention

    • # of DAU, WAU, MAU

    • # of deliver per users (per day, week, month)

    • Retention rate

  • Revenue

    • Avg delivery fee 

    • Avg cart size

    • Avg $ from a customer

    • Avg $ from a store

    • Avg $ from each advertisement campaign (stores, other brands)

  • Refer

    • Viral coefficient

 

  1. Evaluation

 

Metrics

Impact

Awareness

# of acquisition from different channels (FB, Instagram, Google Ads, …)

HIGH 

We can know how efficient of each channel to acquire new users

Acquisition

# of web visits

MEDIUM

Not high because most users would try to figure out by experiencing (consumer product mindset)

# of app downloads

HIGH

# of completely new users

HIGH

# of new users from other products (UberEats, Rideshare, …)

HIGH

Activation

# of eyeballs (App Openings)

Medium

# of stores finding before make a delivery

LOW

Store Zeros - # of times when users cannot find nearby stores

LOW

# of time to find & select

LOW

Cart size

LOW

Shipper Zeros - # of times when users cannot find nearby shippers

LOW

# of waiting time (book -> find a shipper -> receive package)

LOW

# of distance (shipper’s location -> stores -> customer)

LOW

Satisfaction rate

LOW

Retention

# of DAU, WAU, MAU

High

# of deliver per users (per day, week, month)

Medium

Retention rate

Medium

Revenue

Avg delivery fee

Low

Avg cart size

Low

Avg $ from a customer

Low

Avg $ from a store

Low

Avg $ from each advertisement campaign (stores, other brands)

Low

Refer

Viral coefficient

High

 

  1. Recommendation

  • # of acquisition from different channels (FB, Instagram, Google Ads, …)

  • # of app downloads

  • # of completely new users

  • # of new users from other products (UberEats, Rideshare, …)

  • # of DAU, WAU, MAU

  • Viral coefficient

 

  • North star metrics

    • # of DAU, WAU, MAU (We can know the activation of current user base)

    • # of new users (completely new + switching users) (we can know the growth rate of UberEats)

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Things you did well

  • Structure: Great structure
  • Goals: relevant goal. i would maybe elaborate a little bit more.
  • User journey: I really like how you bucketed the user journey by awareness, aquisition..etc.
  • Metrics: Great list of metrics.
  • Evaluation: Great job evaluating the metrics.
Areas of improvement
  • Metrics: One thing I was not sure about was active users vs. actual # of orders. You might want to monitor how many acutal orders are being placed. Wasn't sure if your active user was users opening the app and browsing or people acutally placing orders.
You did a great job!
1
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Clarify the feature and define success:

 Uber Grocery:.Is it a separate app and can you accuse it through uber/ubereats

Whats the goal of feature for shipper, shopper and grocery store?

Shipper. Earn more income,

Shopper; grocery at fingertip

Grocery. Store: reach out to more customers

Uber: iNcrease revenue/ Increase stickiness for drivers and shoppers

What do we mean by success? 

Increase market share, retention or engagement? Uber is new to this so we want to increase market share

Which user group should we focus on? 

Focus on shopper or store or shipper

Metrics

Acquisition: User downloads app/ no. Of app downloads in a month/ % change

Activation: User makes first. purchase. % of app downloads who made the first putrchase

Other metrics: % of people who added items to cart

Retention/Engagement: 

Weekly Active users/ Monthly Active Users and growth

No of purchases made by an active user in a month

Dollar amount of purchases made by an active user in a month

Quality of Service

Delay in ETA

Ratings given by customers

I would focus on app downloads in a month, Monthly active users- since we want to grow this service and growth and ratings given by customers: Quality of service is paramount as we look to grow this service by word of mouth

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