Personalized Online Marketing Service
We conduct analyses of people on the internet and figure out what each person would like to watch, listen to, read, and buy
Our products will come in handy for you
P — Personalisation
Wherever the user is lurking on the web, whether that be on your service, in a social network, or a third-party website, we are able to determine who he or she is, where they’re from, and what they do.
Thanks to this information, we have the ability to promote to them only content or products that they would actually like.
How it works
Data collection from various sources
Formation of a unique recommendation algorithm
Set-up recommendation display
Achieve API
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
Interesting Side Note
The Untitled Retail Lab venture company has invested USD 250000 into the E-Contenta personal recommendations service. The transaction took place in December 2015.
Read Full ArticleSwitching over to personalized marketing is easy!