🆚 AppsFlyer vs. Karte
- 📈 AppsFlyer is much more popular than Karte.
- 🌎 AppsFlyer is more popular in the United States, the United Kingdom, and India.
- 🌍 Karte is more popular in Japan.
AppsFlyerType
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.
A real-time, customer-centric analytics and action tool from Japan.
Headquarters
Pricing
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- 🥇 Most popular in Japan in the Fraud Prevention category.
- 🥇 Most popular in India in the Fraud Prevention category.
- 🥇 Most popular in India in the Marketing Attribution category.
- 🥇 Most popular in Indonesia in the Fraud Prevention category.
- 🥇 Most popular in Indonesia in the Marketing Attribution category.
- 🥈 Second most popular in Japan in the Marketing Attribution category.
- 🔥 14th most popular in Japan in the Analytics category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
AppMetrica
Singular
Macromill🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 3,370,405 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.