🆚 AppsFlyer vs. LeadsRx

Type

Marketing attribution platform
Marketing attribution platform

About

AppsFlyer is a SaaS mobile attribution and marketing analytics platform that enables app marketers to measure and attribute installs, in-app events, and revenue across diverse channels.

It provides real-time multi-touch attribution and cost aggregation, detailed campaign and user behavior analytics, deep linking and audience segmentation tools, AI-enhanced fraud detection that blocks invalid clicks and installs, APIs for data export, and integrations with marketing, customer data, and product analytics platforms.

LeadsRx is a cross-channel marketing and attribution platform that provides multi-touch attribution, customizable attribution windows and actionable insights.

Headquarters

San Francisco, California, United States
Vancouver, British Columbia, Canada

Website

Pricing

Free version ✔️12K free conversions for the first year
Growth$0.07/conversion
EnterpriseCustom
Free version ❌
Custom

Categories

Marketing Attribution › Rank #2
Marketing Attribution › Rank #24
Analytics › Rank #46
Analytics › Rank #157
Fraud Prevention › Rank #5
Lead Generation › Rank #50

Popularity

Determined by the number of sites using each technology.

The AppsFlyer marketing attribution platform is 27 times more popular than LeadsRx.
Total websites

Market share

Marketing Attribution
Analytics

Popularity by country

Determined by the number of sites detected from each country.

AppsFlyer is more popular than LeadsRx in all countries.
United States
Japan
United Kingdom
India
Indonesia
Russia
Brazil
Germany
France
Spain

Awards

Popularity by domain category

Determined by the number of sites in each category.

AppsFlyer is more popular than LeadsRx in all market segments.
Online Shopping
Business
Finance/Banking
Marketing/Merchandising
Travel
Fashion/Beauty
Software/Hardware
Entertainment
Internet Services
Restaurants

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#123
View more ➝
Name
Rank
#11,603
#16,619
View more ➝

See also

🗃️ About This Data