When approached with the Thoughtronix vision, at first it seemed an impossible task: to build an intelligent platform that would interact with users based on their individual preferences while analyzing and learning their behaviors. Piece of cake, right? Yeah…we didn’t think so either. But we were feeling ambitious and set off to work.
When approached with the Thoughtronix vision, at first it seemed an impossible task: to build an intelligent platform that would interact with users based on their individual preferences while analyzing and learning their behaviors to serve them better and provide deep analytics back to Thoughtronix clients for marketing and product development purposes. Piece of cake, right? Yeah…we didn’t think so either. Not to mention that the platform had to be built to scale up to 500 million users.
But we were feeling ambitious and set off to figure out how to make this vision a reality.
Step 1: Create a customized platform for each client that was interested in getting to know their customers better through their content preferences.
The key was to allow brands to more deeply connect with their audience and fanbase on an emotional level. After all, that is the holy grail of any brand marketing initiative. However, in order to do this, you need to dig far deeper into the interactions with the user and truly give them a beneficial experience. You have to put them first. We did this by creating specialized content distributions systems called “smart content hubs” that were branded for the specific company or artist and displayed the brand’s content in a unique and personalized way to the user along with other content that they may be interested.
This included everything from videos, to ads, to images, to articles and blogs, to the latest music on soundcloud that may be within their tastes. And, of course this had to be available on every technology platform known to man in order to work, right? We built it on the web, mobile-web, and a slew of mobile apps, including Facebook integration. Our personalization engine used a myriad of different techniques to learn who the user interacting with the system was and what they really liked. The benefit to the brand? They were able to deeply know who their customers were and what they were really interested in and in turn able to refine their brand, product and message to more accurately connect with that customer.
Going into this project we felt a bit like we were tasked with building a time-machine...
Step 2: Create a platform that allowed companies and brands to better understand their own employees: who their team is, what motivates them, and what skills they have. One of our main goals was to identify the leaders in the pack and what made them successful.
We created an intelligent survey system, that was deployed to the staff and gave each person a unique experience tailored to them. The system had all the bells and whistles that you’d expect: real-time data persistence, state-saving, various question types, unique logins generated automatically, secure results, and an admin panel that looked like the cockpit of a space shuttle. The system graded and identified key influencers as well as hidden skillsets. All of this was visualized beautifully in various graphs, charts, and filters… all while allowing the admin to quickly make sense of millions of records of data, quickly and effortlessly.
Going into this project we felt a bit like we were tasked with building a time-machine… but in the end, we had developed a complex system combining custom content delivery with deep analytics to create a robust platform that served both end users and Thoughtronix clients. What can we say? We love making customers happy and we’re just a bit nerdy…