🆚 Mapp vs. Zeotap

Type

Customer data platform
Customer data platform

About

Mapp Marketing Cloud is a digital marketing platform that combines customer acquisition and engagement into one platform with cross-channel capabilities.

Zeotap CDP is a customer data platform that lets companies integrate, unify, segment, and orchestrate customer data, offering a drag-and-drop interface and prebuilt machine learning models.

It combines deterministic and probabilistic identity matching into one persistent ID per person, applies the ZeoAI layer built on Google Cloud generative AI models for real-time decisioning, and recognizes cookieless identifiers such as Zeotap ID+, ID5, and EUID.

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Headquarters

London, United Kingdom
Berlin, Germany

Website

Pricing

Free version ❌
Essential $36,600+/year
Professional $43,200+/year
Free version ❌
Custom

Categories

CDP › Rank #24
CDP › Rank #40
Marketing Automation › Rank #48
Identity Resolution › Rank #23

Popularity

Determined by the number of sites using each technology.

The Mapp CDP is 3 times more popular than Zeotap.
Total websites

Market share

CDP

Popularity by country

Determined by the number of sites detected from each country.

Mapp is more popular in Germany, Italy, and Denmark, while Zeotap is more popular in the United States, Poland, and India.
Germany
Italy
Denmark
Spain
United Kingdom
United States
Poland
Netherlands
Austria
Switzerland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Mapp is more popular among sites focused on business, education and reference, and finance and banking, while Zeotap is more commonly used on motor vehicles, auctions and classifieds, and blogs and wiki sites.
Business
Education/Reference
Finance/Banking
Online Shopping
Fashion/Beauty
Entertainment
General News
Motor Vehicles
Auctions/Classifieds
Marketing/Merchandising

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,714
#2,128
View more ➝
Name
Rank
#1,053
#1,160
#8,404
betmgm.com
#11,691
View more ➝

See also

🗃️ About This Data