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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.

 

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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

  • Feedback for driver

From user perspective

User makes the order and then it could not be fulfilled  

  • no available drivers

  • restaurant is overwhelmed

From user perspective

Delivered Food arrives in the bad quality

  • Feedback for the restaurant

From user perspective

User waited too long for the delivery

  • Delivery time

  • Maybe delivery time vs trip distance, to understand driver effectiveness

From user perspective

User made an order, waited for its delivery but didn’t get it

  • Order cancels

From user perspective

Users make few orders and then loses an interest 

  • repetitive orders

From driver perspective

I am not getting any tips for my rides

  • tips given 

 

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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