UberEats E-Receipt Data | Food Delivery Transaction Data | Asia, Americas, EMEA | Granular & Aggregate Data available

#	senderEmail	mailSource	subject	accountEmailId	receivedDate	dataType	orderType	totalPrice	totalPriceUSD	totalCharged	totalChargedUSD	currency	rawPaymentMethod	paymentMethod	langCode	countryCode	country	orderTime	orderTimezoneOffset	orderTimeHasTimeZone	pickupTime	dropoffAddress	restaurant	priceItems	productItems	driverId	distanceInMiles	tripTimeInSeconds	carType	uberOfficeAddress	paymentMethods
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx
2	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx
3	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx
4	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx
5	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx
6	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx
7	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx
8	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx
9	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx
10	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx
...	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx

Avail. Formats

.json, .xml, and .csv

File

Coverage

182

Countries

History

years

[Sample] UberEats US granular sample.csv

Attribute	Type	Example	Mapping
senderEmail	String	*****@.*	Email Address
mailSource
subject	String	Your Sunday morning order with Uber Eats
accountEmailId	Integer	2580802977
receivedDate	Integer	1676218133
dataType	String	UberEatsReceiptType
orderType	String	Purchase
totalPrice	Float	18.3
totalPriceUSD	Float	18.3
totalCharged	Float	18.3
totalChargedUSD	Float	18.3
currency	String	USD
rawPaymentMethod	String	visa
paymentMethod	String	visa
langCode	String	en
countryCode	String	US
country	String	United States
orderTime	Integer	0
orderTimezoneOffset	Integer	0
orderTimeHasTimeZone	Boolean	f
pickupTime	Integer	1676160000
dropoffAddress	String	** #	Address
restaurant	String	The Cleveland Bagel Co. ( Carnegie Ave )
priceItems	String	[]
productItems	String	[]
driverId
distanceInMiles	Integer	0
tripTimeInSeconds	Integer	0
carType	String	UberEats
uberOfficeAddress	String	** ******** #### # **** * *******, #####	Address
paymentMethods	String	[{"paymentMethod":"visa","price":18.3,"priceLabel":"$18.3...

UberEats E-Receipt data provides accurate consumer insights and understanding of industry trends based on restaurant & food delivery transaction data.

The Measurable AI UberEats E-Receipt Dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users. We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients. *Use Cases* Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better. *Coverage* - Asia (Taiwan, Japan, Australia) - Americas (United States, Mexico, Chile) - EMEA (United Kingdom, France, Italy, United Arab Emirates, AE, South Africa) *Granular Data* Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more *Aggregate Data* - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from the UberEats food delivery app to users’ registered accounts. Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia. Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact [email protected] for a data dictionary and to find out our volume in each country.

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (51)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

6 years of historical data

Measurable AI has not published pricing information for this product yet. You can request detailed pricing information below.

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Methods

Frequency

Format

Investing

Consumer Intelligence Market Intelligence

Alternative Investment

Customer Insights

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7 countries covered

6 years of historical data

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What is UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available?

UberEats E-Receipt data provides accurate consumer insights and understanding of industry trends based on restaurant & food delivery transaction data.

What is UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available used for?

This product has 5 key use cases. Measurable AI recommends using the data for Investing, Consumer Intelligence, Market Intelligence, Alternative Investment, and Customer Insights. Global businesses and organizations buy Consumer Transaction Data from Measurable AI to fuel their analytics and enrichment.

Who can use UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Transaction Data. Get in touch with Measurable AI to see what their data can do for your business and find out which integrations they provide.

How far back does the data in UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available go?

This Tabular Data has 6 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, and yearly basis.

Which countries does UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available cover?

This product includes data covering 182 countries like USA, China, Japan, Germany, and India. Measurable AI is headquartered in Hong Kong.

How much does UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available cost?

Pricing information for UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available is available by getting in contact with Measurable AI. Connect with Measurable AI to get a quote and arrange custom pricing models based on your data requirements.

How can I get UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available?

Businesses can buy Consumer Transaction Data from Measurable AI and get the data via S3 Bucket and REST API. Depending on your data requirements and subscription budget, Measurable AI can deliver this product in .json, .xml, and .csv format.

What is the data quality of UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available?

You can compare and assess the data quality of Measurable AI using Datarade’s data marketplace. Measurable AI appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? July Edition.

What are similar products to UberEats E-Receipt Data Food Delivery Transaction Data Asia, Americas, EMEA Granular & Aggregate Data available?

This Tabular Data has 3 related products. These alternatives include FoodPanda Food & Grocery Transaction Data Email Receipt Data Asia Granular & Aggregate Data available, Grepsr Food Menu, Prices, Deliveries, and Reviews from Food Delivery Sites Global Coverage with Custom and On-demand Datasets, and Envestnet Yodlee’s De-Identified Restaurant and Food Delivery Transaction Data Row/Aggregate Level USA Consumer Data covering 3600+ corporations. You can compare the best Consumer Transaction Data providers and products via Datarade’s data marketplace and get the right data for your use case.

UberEats E-Receipt Data | Food Delivery Transaction Data | Asia, Americas, EMEA | Granular & Aggregate Data available

Data Dictionary

Description

Geography

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Measurable AI
Transactional e-receipts data for emerging markets

UberEats E-Receipt Data | Food Delivery Transaction Data | Asia, Americas, EMEA | Granular & Aggregate Data available

Data Dictionary

Description

Geography

History

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Measurable AI Transactional e-receipts data for emerging markets

Measurable AI
Transactional e-receipts data for emerging markets