AI powered content distribution platform
We help brands target their convertible audiences with the most relevant editorial, prepared and delivered in the format of native ads.
Launch content distribution campaigns with ONE CLICK
E-CONTENTA will handle the rest
Data Driven Storytelling
Wherever users are surfing on the web, we know who they are, where they’re from, what they do and what they are looking for.
Based on this data we can carefully select articles from your editorial and promote them only to those audiences that would be really interested in them and most likely to convert to loyal customers.
How it works
Data collection from various sources - 1st party and DMPs
Transform original editorial pictures to native ads formats
Full text search and flexible content filtering
AI defined settings for tailored targeting
About Us
When I was in the 10th grade, I decided to go to the journalism school that existed on the TV channel and radio of the city of Suma located in Eastern Ukraine
When there’s a new release of Dom 2 or Tantsy, people flock to watch it. The video has a “viral” nature to it. A recommendations system comes in handy for helping to track and display these videos to other users
We didn’t have startup capital per se. We used our own funds instead. The numbers indicated to us that launching the company, including business trips and salaries cost about 40 thousand dollars. Then we got an investor.
Venture fund Untitled Retail Lab has invested $250,000 into the Russian recommendation service E-Contenta
In the Summer of last year, Facebook began keeping statistics on the length of time people spend looking at posts and viewing video content
When we first start working with a company, we offer them to try E-Contenta technology for free. We do a pilot project and we record the metrics before using our algorithm and after. According to those numbers, we are able to see how well our recommendations are working
At the moment, the market is in a state of transition: people already realize that they can’t persist operating the same way they did before
E-Contenta recommendations service, based on an analysis of people’s conduct on the internet, predicts what they will want to read, listen to, watch, and buy
At E-Contenta, we made the first version of the recommendations system for Rutube in May 2015. It entailed the following: item-based collaborative filtration recalculating the recommendations every n time, where n is a number from the Fibonacci series
When I was in the 10th grade, I decided to go to the journalism school that existed on the TV channel and radio of the city of Suma located in Eastern Ukraine
When there’s a new release of Dom 2 or Tantsy, people flock to watch it. The video has a “viral” nature to it. A recommendations system comes in handy for helping to track and display these videos to other users
We didn’t have startup capital per se. We used our own funds instead. The numbers indicated to us that launching the company, including business trips and salaries cost about 40 thousand dollars. Then we got an investor.
Venture fund Untitled Retail Lab has invested $250,000 into the Russian recommendation service E-Contenta
In the Summer of last year, Facebook began keeping statistics on the length of time people spend looking at posts and viewing video content
When we first start working with a company, we offer them to try E-Contenta technology for free. We do a pilot project and we record the metrics before using our algorithm and after. According to those numbers, we are able to see how well our recommendations are working
Did you know?
E-Contenta becomes a proud participant of PepsiCo corporate business innovation program helping the group to rethink their content marketing approach.
Learn moreUnlock your content potential!