Predictive Intelligence: Use 3 Kinds of Data to Predicts a Buyer's Purchase
Over 85% of respondents said Job title are effective or very effective at predicting a prospect’s likelihood of predicting a purchase. This is because Job title is a basic, fundamental part of the Ideal Customer Profile. The least predictive Fit data point? Age.
Gender in Senior Management: F1000 Diversity Creeps Up From 2016 to 2019
In 2016, DiscoverOrg compiled a benchmark report that asked: How is gender distributed among C-suite and senior management roles at Fortune 1000 companies? The answer then: Not much. Overall in...
Size Matters: Digging in to Employee Counts and Social Media Discrepancies
If you work in sales and marketing, I’ll bet you think a company’s employee count on LinkedIn is the absolute best way to determine how many employees work at that...
Where Politics & Business Collide: Political Donations of B2B Decision Makers
As the 2018 midterm election cycle heats up, demographic research and new insights about American voters has never been more in demand. We’ve taken DiscoverOrg’s available data on political donations...
The Effect of Predictive Sales Data: 95% See Positive Gains
“What prompts someone to make a purchase?” It’s the ultimate sales and marketing question. All our tools, plugins, integrations, analysis, and predictions, all concentrated in a multi-billion-dollar effort to answer this question. We put the question to 207 sales and marketing professionals in a director position or above, and published our findings in a resulting study of 80+ individual data points and datapoint combinations.
[INFOGRAPHIC] How to Use Data to Recruit Like a Marketer
Recruiters are going to realize that simply using LinkedIn isn’t enough. (If you’re a recruiter and you’re using LinkedIn - you're looking at the same candidates as 97% of other recruiters.) Successful recruiters incorporate strategies more often associated with sales and marketing, using data to build their books and meet their quota.
A Formula for Predictive Intelligence: Fit + Intent + Opportunity Data
Virtually every business collects and buys data to assist salespersons and marketers do their job more effectively. But sometimes it’s too much data. How can we make sense of it all and zero in on the data that actually matters? Which data points – individually, or together in a “secret sauce” – predict buying behavior in B2B customers? And where does predictive intelligence fit in?
What CIOs are Focused on in 2018: Predicting Top IT Initiatives and Spend
In Q3, we asked respondents to indicate which technology initiatives they’re focused on in the next 6-12 months. The clear priority for 2018? DATA SECURITY - by a mile.
B2B Buyer Persona: 30 Ways to Get Inside the Mind of Your Target Buyer
Obviously, a trusted advisor enjoys significant advantages over the competing salespeople. However, only 18% of the salespeople they met over the past year would be classified as trusted advisors whom they respect.