figshare
Browse
correctpic.png (502.53 kB)

Neural Networks To Analyze Marketing Strategy

Download (0 kB)
Version 2 2013-07-23, 01:30
Version 1 2013-07-23, 03:14
figure
posted on 2013-07-23, 03:14 authored by OS BH-LabsOS BH-Labs

At Intelli.Tech.Scientific, I have been developing a series of neural networks to assist in pattern recognition for various real world applications. Out of necessity I develoepd a custom neural network to analyze marketing data for Indie Review Magazine, and in less than 2 months I grew the magazine's following from under 100 likes to over 10k likes. In the past 24 hours after making some slight modificatons to the software, I was able to grow the page likes from 10k to over 12k. 

In addition to gaining 2k likes in less than 24 hours we have also consistently maintained a high percentage of fan engagement, not just with the content on our page, but also with our content on and offline. 

 

To put this in perspective... 

Walmart's current page engagement is 16% as ouf 23:09 hrs EST on July 22nd 2013 

 

Our page engagement as of 23:09 hrs EST on July 22nd 2013 is 28%. 

 

This was all accomplished on a very small advertising budget, the details of which will be made in the final report once we have fully tested the software package. 

 

What it does: this software package helps users to identify various parameters that are imporatant to their demographic. After those patters have been identified, it will make suggestions regarding what should be advertised and in what frequency.

 

If you have any questions about this project, you can contact my executive assistant at Justin@ITSmoleculardesign.com with a subject heading of "Marketing Software". 

 

 

History