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- CTR on paid ads
- CTR on different campaigns(PN,Email,WhatsApp,SMS)
- # of acquisition form different channel(FB,Instagram,google)
- # of sign-ups/ # of downloads
- # of completely new users(monthly)
- # of users who completed at least one order / # of signups
- # 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
- DAU,MAU,WAU
- retention rate
- % of RTO order return rate
- % of Order return rate
- % of a negative review
- % of compliant raise
- NPS
- Play store rating
- Average order value per user
- CLTV
- Average delivery cost per user
Metrics Question: How would you measure the success of Uber Grocery?
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
Goals
Increase market share (customer - household)
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
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
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 |
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)
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
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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