Predicting the Best Customers and Lead Scoring for a Mailing Optimization Company

Project Description

We are a mailing optimization company that helps large brands analyze their opportunities to mail more efficiently and at a lower cost. The purpose of this project is to determine the most likely candidates to buy and focus our sales and marketing investment and efforts towards the most profitable prospects and customers. The objective is to create a scaleable reporting and analytics system that enables us to produce daily reports. We want to have access to the code so that we can update it as we are get new data scources.

Analytics and Dashboard

This phase involves building a lead scoring algorithm that predicts our best customers. This will include analytics on thousands of contacts in SQL data and CRM data considering the factors as prebuying activities like white paper downloads, e-mail open rate and frequency, webinar sign up and attendances, interaction with sales person, attended a demo session, company name, attibutes, zip code, Linkedin profile data, mail volume, employee count, prior sales data and related comapany sales data. We want the dashboard to tell us which are the 50 top prospects our sales people should be expending their energies on at the given moment.