🆚 Emarsys vs. Treasure AI
- 📈 Emarsys is twice as popular as Treasure AI.
- 🌎 Emarsys is more popular in Germany, the United States, and the United Kingdom.
- 🌍 Treasure AI is more popular in Japan, Taiwan, and India.
Emarsys
Treasure AIType
About
SAP Emarsys is a cloud-based omnichannel marketing and customer engagement platform that automates personalized campaigns across email, web, mobile, SMS, digital advertising, and commerce channels.
It combines customer data management, AI-driven personalization, predictive segmentation, loyalty and rewards management, automated lifecycle marketing, analytics, and more than 100 prebuilt marketing automation programs for retail, e-commerce, and consumer brands.
Treasure AI, formerly Treasure Data, is an enterprise agentic experience platform that allows users to collect, store, and analyze their data on the cloud.
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
- 🥈 Second most popular in Germany in the Loyalty Management category.
- ⭐ 6th most popular in Germany in the Personalization category.
- ⭐ 6th most popular in Germany in the CDP category.
- ⭐ 6th most popular in the United Kingdom in the Loyalty Management category.
- 🔥 16th most popular in the United Kingdom in the CDP category.
- ⭐ 4th most popular in Japan in the CDP category.
- ⬆️ 24th most popular in the United States in the CDP 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.
🗃️ 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 3,718,585 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.