Doordash

Doordash

Order History

The Doordash Retro provided you with a detailed list of ordered items, on what day and the price of items to understand individuals food delivery behaviors

RetrO INSIGHT
37 Minutes

Weekly App Usage (iOS)

Based on Measures Mobile Audience

April 2021
Collection Details

Collection available in the US Only

Collection available for both iOS and Android

Collect from your own panel or use our Retro ready panel

Custom options available

Audience Insight
16%

Audience Reach (18-25)

Based on Measures Mobile Audience

April 2021
Use Cases

Understand purchase and food delivery trends of your audience

Track spend levels across specific demos

Augment your shopper insights database with actual purchase data

Have a use case or project in mind?
Contact Us

Data Schema

Get more information
Attribute
Type
Description
User ID
String
The User ID
Dish Name
String
The name of the dish
Restaurant
String
The name of the restaurant
Price
INT
The cost of the item
Date of Order
Date
The date of the order

Customize your deliverables

Below you will see this Retro's data schema, outlining the exact data collected using our technology. All Retro purchases include the raw data format, giving you the power to cut, analyze, combine and aggregate where you see fit.

Data Schema

Example Data
Attribute
Type
Description
User ID
String
The User ID
Dish Name
String
The name of the dish
Restaurant
String
The name of the restaurant
Price
INT
The cost of the item
Date of Order
Date
The date of the order

Need more than a CSV file?

We have three optional services to help you take the data to the next level.

Additional Add on - Dashboard
Top Line analysis

Top line data analysis providing overview metrics pertinent to Retro. Provided in table summary format.

Optional Add on - Custom analysis
Custom analysis

Custom data analysis based on your research objectives. Optionally provided in a table & powerpoint form based on business needs.

Additional Add on - Dashboard
Custom Dashboard

Custom dashboard for browsing and visualizing data based on specific needs.