Founded in 2010, Infer boasts quick setup times with business data and high level analysis partnerships with many Fortune 1000 companies. Infer was created to take data from untapped sources as well as from 100’s of data points across businesses and the web in order to create better predictions in order to win over customers for those businesses. When using the software now, you can import 100’s of web signals of your choice as well as better understand your customers as a whole. This includes good and bad lead flows, potential unfound customers, and vendor potentials that are compatible with your model.
History
Infer was created and founded in 2010 in order to create a solution to help companies deliver data-powered business applications in order for these companies to attain more customers. They quickly became a leader in predictive sales software and behavior scoring launching multiple software features to help business take advantages of previously under utilized customer data sets. After pioneering lead behavior and account fit scoring models, Infer quickly added to their arsenal the Account-Based Behavior Scoring feature which allowed marketing teams to focus campaigns on B2B (business-to-business) deals that they can most likely close.
How It Works
Infer's software starts with data. Businesses hook up existing data from CRMs, CMSs, databases, etc.. that can export to Infer data information like email addresses, company name, or any custom field available for most export. Once Infer receives this data, the software analyzes your data from the few to thousands of points you add and identify signals from websites, social, etc.. using proprietary software in order to create reliable relationships within the data. Then advanced machine learning algorithms find and use patterns that are identified in order to predict the most likely prospects to become buying customers.
Product Stack
Infer comes with an array of products to help business make vital connections with their potential customers. These include:
Profile Management: Builds profiles using imported data in order to identify highest performers, optimize high quality data, and share data about customers across teams, databases and technologies.
Fit Scoring: Creates a fit-model for every prospect in order to identify the best customer fit for business products. Also best predicts conversion rates of these customers.
Behavior Scoring: The behavior model uses machine learning to weigh customer signals in order to predict the likelihood of not only conversions but the potential time-frame in which this can happen. Infer offers an ebook that accompanies this technology to help users find the six most common use cases, best practices for operationalizing customer fit, and engages businesses to identify the top 5 differences between their traditional models and Infer's predictive model.
Account-Based Marketing: Creates full-funnel signals when connected with marketing platforms like Marketo and Pardot to create a fit-score. It also most accurately maps a customer's activity to Salesforce data. This also creates instant account engagement insights and AMB engagement reports for the business.
ABM Behavior Scoring: A simple guide product provided by Infer in order to educate on how to use predictive analytics. Guide include topics such as Account Selection, Net-New, Activation, and Measurement.
Predictive Lead Gen: Predictive Lead Gen is a funnel based feature that allows marketing and sales to better focus on the high potential clients and accounts that should be focuses primarily before moving onto additional prospects.
Sales Intelligence: Software created for sales reps to look at and utilize Account-based intelligence data. Also creates valuable insight into lead, contact, account and opportunity views and gives unique summaries of customer prospects. Optimizes rep time per prospect by allowing them to speed up the deal progression, increase their flow pipelines, reduce the need for research and train additional reps faster.
Infer - Predictive Sales
Introduction
History
Infer was created and founded in 2010 in order to create a solution to help companies deliver data-powered business applications in order for these companies to attain more customers. They quickly became a leader in predictive sales software and behavior scoring launching multiple software features to help business take advantages of previously under utilized customer data sets. After pioneering lead behavior and account fit scoring models, Infer quickly added to their arsenal the Account-Based Behavior Scoring feature which allowed marketing teams to focus campaigns on B2B (business-to-business) deals that they can most likely close.
How It Works
Infer's software starts with data. Businesses hook up existing data from CRMs, CMSs, databases, etc.. that can export to Infer data information like email addresses, company name, or any custom field available for most export. Once Infer receives this data, the software analyzes your data from the few to thousands of points you add and identify signals from websites, social, etc.. using proprietary software in order to create reliable relationships within the data. Then advanced machine learning algorithms find and use patterns that are identified in order to predict the most likely prospects to become buying customers.
Product Stack
Infer comes with an array of products to help business make vital connections with their potential customers. These include:
Profile Management: Builds profiles using imported data in order to identify highest performers, optimize high quality data, and share data about customers across teams, databases and technologies.
Fit Scoring: Creates a fit-model for every prospect in order to identify the best customer fit for business products. Also best predicts conversion rates of these customers.
Behavior Scoring: The behavior model uses machine learning to weigh customer signals in order to predict the likelihood of not only conversions but the potential time-frame in which this can happen. Infer offers an ebook that accompanies this technology to help users find the six most common use cases, best practices for operationalizing customer fit, and engages businesses to identify the top 5 differences between their traditional models and Infer's predictive model.
Account-Based Marketing: Creates full-funnel signals when connected with marketing platforms like Marketo and Pardot to create a fit-score. It also most accurately maps a customer's activity to Salesforce data. This also creates instant account engagement insights and AMB engagement reports for the business.
ABM Behavior Scoring: A simple guide product provided by Infer in order to educate on how to use predictive analytics. Guide include topics such as Account Selection, Net-New, Activation, and Measurement.
Predictive Lead Gen: Predictive Lead Gen is a funnel based feature that allows marketing and sales to better focus on the high potential clients and accounts that should be focuses primarily before moving onto additional prospects.
Sales Intelligence: Software created for sales reps to look at and utilize Account-based intelligence data. Also creates valuable insight into lead, contact, account and opportunity views and gives unique summaries of customer prospects. Optimizes rep time per prospect by allowing them to speed up the deal progression, increase their flow pipelines, reduce the need for research and train additional reps faster.
References
https://www.infer.com/
http://www.forbes.com/sites/benkepes/2015/04/13/infer-turns-up-the-volume-on-behavioral-scoring/#3a7295d87e67
http://www.businesswire.com/news/home/20160927005426/en/Infers-Artificial-Intelligence-Platform-Sales-Marketing-Powers
http://www.businesswire.com/news/home/20160816005314/en/Infer-Launches-Industry%E2%80%99s-Predictive-Account-Based-Behavior-Scoring