Data-driven Lead Qualification
Why LeadBoxer Is The Best Choice For Automating Lead Generation
Q: As briefly as possible, what has LeadBoxer done that is so valuable for business websites?
A: Developed a way of applying Search Engine technology to qualify leads.
We started with visitor website tracking a number of years ago, and have evolved into a system which uses big data technology to identify interesting leads. Currently we’re working towards full automation of the process of lead identification.
Calling it AI or artificial intelligence would be wishful thinking, but we’ve definitely made enormous strides in the process of automating lead qualification and audience segmentation.
How have we done this? Basically, moving on from MYSQL to NOSQL using Elastic and Cassandra, we’ve built a system that can filter, in real-time, through website traffic, and create notifications based on a lead score. Click here to read how (technically) LeadBoxer’s lead score formula converts clicks into prospects via an algorithm.
What does this actually mean?
It means that now, as of December 2017, we provide the framework to organize Marketing and Sales data on the following traffic values:
- Country / Region
- State / Province
- Company Size
- Utm Tags (PPC-traffic, Adwords, LinkedIn, Facebook campaigns)
- Exit Link
- Lead Tags (competitor, customer, partner, prospect)
- Identity Fields (Email, First Name, Last Name)
- Page Views
Letting smart algorithms do the heavy lifting
In conclusion, in order to succeed, a software product needs to add value. The value we are adding is machine learning. You tell our machine what a valuable lead looks like, and we use algorithms to find these leads for you. Our goal is to automate the process, so that letting LeadBoxer loose on a website will provide a list of all activity, prioritized by lead score. To increase the efficiency of the system, and reduce the burden of logging in to (another) software product, we push email Notifications to your team’s mailboxes.