What are the key Metrics to measure the performance of a company in food delivery business and how can we improve the ones related to churn rate?
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Company’s related to food delivery business is uber eats,Zomato,swiggy.
Customer segmentation:- There are 3 key personas involved in this.
1.customer(who orders food)
2.delivery boy(who delivers food)
3.restaurants (so prepare food)
It’s very important to understand the context of churn rate.so for that reason I will ask some clarification question:-
1.for which persona we are referring churn rate? Are we talking about customers, delivery boy or restaurants.
From customers point of view it could be as % of people who have left ordering from our platform.
From delivery boy point of view it could be as % of people who have left delivering food from our platform.
From restaurants point of view it could be as % of restaurants who have left supplying food from our platform.
Let’s we are talking about customers.
Metrics:-
1.# of orders made.
2.# of orders delivered on time.
3.# of orders completed with 5 * rating.
4.# of orders completed with 1 * rating.
The most important metrics for reducing churn rate is 3, 4 and 2. If our customer is getting value then he would stick to our platform.
Pain points:-
1.he did not get food on time.
2.the food was not tasty.
3.different food was delivered.
4.he finds overwhelming while choosing food or resaurants.
Solution:-
1.make sure that our estimation algorithm is working fine if not then update it.
2.remove the food or the restaurant having very poor rating.
3.make sure the right food is delivered.
4.use AI/ML techniques to use previous data to recommend food or restaurants.
Just to limit the number of use cases let’s focus on the cooked food delivery from the restaurants to the end users.
Let’s think first about important business metrics that would help to analyse performance of the business:
Total daily revenue
Total orders value
Total drivers earned value
Total tips given
Daily Number of orders
Requested orders vs completed
Daily Number of users
Daily Number of drivers
average feedback
Number of restaurants partnered
feedback per every restaurant
If seeing any negative changes in the business metrics it should be possible to drill-down to product performance metrics.
Let’s think about product pain-points in the food delivery.. Looking at the place where these pain-points are not served well we can identify important gaps that could lead to churn.
Let’s also look from a rider and driver perspective.
Problem | Metrics | |
From user perspective | Person that delivered food was rude and behaved badly |
|
From user perspective | User makes the order and then it could not be fulfilled |
|
From user perspective | Delivered Food arrives in the bad quality |
|
From user perspective | User waited too long for the delivery |
|
From user perspective | User made an order, waited for its delivery but didn’t get it |
|
From user perspective | Users make few orders and then loses an interest |
|
From driver perspective | I am not getting any tips for my rides |
|
Let’s try to analyse few pain points and see what improvements could be introduced to mitigate them:
“tips given”
1. Incentivize users after giving a 5-star rating to the driver also to give tips to a driver
2. Introduce tips for consequent rides. e/g 10 rides with 5-star rating results into reward
“repetitive orders”:
1. consider giving user a cashback from his previous order to increase the engagement
2. updates on the restaurant changes: new restaurants, new meals, discounts
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