Neural Networks To Analyze Marketing Data

With the help of my software, powered by custom neural networks, the analysis of market demographic data has never been easier.

 

We've used the software to first identify content that will engage our target demographic and then to analyze content already posted on our facebook page to give us insights into what if anything should be changed about or marketing/advertising strategies.

 

After ascertaining a pattern and identifying key parameters that we'd initially been ignoring, we were able to increse the page likes from less than 100 to over 10k in under 2 months. However, unlike fake page likes, which can easily be bought but will not increase engagement with the content on the page, we were able to significantly increase the fan engagement with our page, prooving that the software successfully helped us to not only identify contet that our target demographic wants to see but also helped us to identify the best way to present that content to them.

 

Once certain parameters were altered, we were able to increase our page engagement to 28%, then 40.5%, and now 48%, all in a matter of days. We also climbed from 10k likes to almost 16k likes in less than 72 hours. 

 

Our advertising budget for this project is extememly small, but with the help of our software, we were able to create advertisements that engaged our target demographic at an average rate of 0.01 cents per like. 

 

Our fan engagement also translated to an increase in external engagement on our website and blog as well as offline engagement with our content. 

 

There is significant commercial value for this software, and we plan to continue investigating how we can use machine learning to assist in advertising, and content generation for target demographics.