What was the scope of their involvement?
In order for us to learn everything we can about the user, DataRoot developed an analytical data-gathering system that obtains behavioral data from our website. For example, potential customers will come from different countries, look at different pages, type in different queries and spend differing amounts of time on our pages.
We have more than 300 different behavioral parameters for the users on the website cultivating a neural network which will determine which doctor coordinator will match the specific needs of a customer. In order to find out what kinds of patients can work well with them, the neural network can analyze all background cases of doctor coordinators.
For this project, there were at least 2-3 people involved from DataRoot’s team. We are working on other projects with them as well.
As far as I know, they’ve implemented the data-gathering functionality of our website through user behavioral events which send information to our Mongo database. There is a neural network algorithm in place as well as a regression model for processing the data.
How did you come to work with DataRoot?
Our business owner is good friends with the owner of DataRoot. We decided to find a project which could prove interesting for both our companies. We’ve come to know the company and have looked at some of the other projects they were involved in. I knew that DataRoot would perform well.
How much have you invested with DataRoot?
The cost of this project was between $15,000 and $20,000.
What is the status of this engagement?
Over time, we’ve launched at least 10 projects with DataRoot. The current one started around 6 months ago. The product has been launched recently and is working well. We will probably enhance it with new data and user-behavioral events in the future. The website is constantly evolving. We can create new behavioral patterns on it by adding new types of pages and interactional user interfaces which can be counted as behavioral criteria.