Big Data|Lead Generation|Notifications

Data-driven Lead Qualification

Data-driven Lead Qualification

2017-11-29

Big Data|Lead Generation|Notifications

Data-driven Lead Qualification

2017-11-29

Big Data|Lead Generation|Notifications

Data-driven Lead Qualification

2017-11-29

Table of Contents

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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:

FILTERS:

  • Company

  • Country / Region

  • State / Province

  • City

  • Industry

  • Company Size

  • Utm Tags (PPC-traffic, Adwords, LinkedIn, Facebook campaigns)

  • URL

  • Exit Link

  • Referrer

  • Lead Tags (competitor, customer, partner, prospect)

  • Identity Fields (Email, First Name, Last Name)

  • Visits

  • 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.



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:

FILTERS:

  • Company

  • Country / Region

  • State / Province

  • City

  • Industry

  • Company Size

  • Utm Tags (PPC-traffic, Adwords, LinkedIn, Facebook campaigns)

  • URL

  • Exit Link

  • Referrer

  • Lead Tags (competitor, customer, partner, prospect)

  • Identity Fields (Email, First Name, Last Name)

  • Visits

  • 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.



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:

FILTERS:

  • Company

  • Country / Region

  • State / Province

  • City

  • Industry

  • Company Size

  • Utm Tags (PPC-traffic, Adwords, LinkedIn, Facebook campaigns)

  • URL

  • Exit Link

  • Referrer

  • Lead Tags (competitor, customer, partner, prospect)

  • Identity Fields (Email, First Name, Last Name)

  • Visits

  • 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.



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:

FILTERS:

  • Company

  • Country / Region

  • State / Province

  • City

  • Industry

  • Company Size

  • Utm Tags (PPC-traffic, Adwords, LinkedIn, Facebook campaigns)

  • URL

  • Exit Link

  • Referrer

  • Lead Tags (competitor, customer, partner, prospect)

  • Identity Fields (Email, First Name, Last Name)

  • Visits

  • 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.



Generate More Qualified Leads with LeadBoxer

Create a (free) account or get a demo and find out how we can help you.

Generate More Qualified Leads with LeadBoxer

Create a (free) account or get a demo and find out how we can help you.

Generate More Qualified Leads with LeadBoxer

Create a (free) account or get a demo and find out how we can help you.

Generate More Qualified Leads with LeadBoxer

Create a (free) account or get a demo and find out how we can help you.

Get Started with LeadBoxer

LeadBoxer can help you quickly generate more leads

Get more insight into your online audience and their behaviour, and turn this data into actual opportunities.

Start Now!

Get Started with LeadBoxer

LeadBoxer can help you quickly generate more leads

Get more insight into your online audience and their behaviour, and turn this data into actual opportunities.

Start Now!

Get Started with LeadBoxer

LeadBoxer can help you quickly generate more leads

Get more insight into your online audience and their behaviour, and turn this data into actual opportunities.

Start Now!

Get Started with LeadBoxer

LeadBoxer can help you quickly generate more leads

Get more insight into your online audience and their behaviour, and turn this data into actual opportunities.

Start Now!

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Analyze campaigns and traffic, segement by industry, drilldown on company size and filter by location. See your Top pages, top accounts, and many other metrics.

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