DiscoverOrg

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The Coming Customer Data Tsunami: 3 Predictions for 2019

DiscoverOrg

But what we found most intriguing were some numbers behind TOPO’s predictions surrounding data; specifically, the coming “B2B customer data tsunami:” How big is it, how can we operationalize it, and what competitive advantages will it bring for forward-looking organizations? But this wave of B2B data raises other questions too.

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A New Generation of Marketing Metrics & the ROI of Better Data

DiscoverOrg

These are still great ways of predicting how an organization will perform, especially when entering a new market or rolling out a new product for feature. Contact lists that consist of names, organizations, and phone numbers are still frequent B2B offerings. Output : Inquiries, proposals, demo requests. The evolution of prospect data.

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2 Truths and a Lie: High Email Bounce Rates and Sender Reputation

DiscoverOrg

There are several organizations that track and monitor your sending behavior, and others that keep a running blacklist of those with poor sending reputations – email service providers (ESPs) look to both to determine whether or not an incoming email is safe to receive. … and then leave it at that. Learn more. This seems logical, right?

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A State by State Review: Gender Diversity in the Executive Suite

DiscoverOrg

Download the DiscoverOrg’s 2016 Gender Diversity In Sales Organizations Report. Our latest research focused on gender diversity in the executive suite through a new filter: geography. and 20%, respectively. Interested in the breakdown of Gender Diversity in Sales Roles?

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Beyond the Resume: Next-gen Recruiting Data Identifies More Quality Candidates

DiscoverOrg

The new iteration of data , however, tells you not only where a prospective candidate has worked, and for how long, but integrates with more data about the organizations that employed the prospect. “By Internal shifts within an organization can prompt a prospective candidate to be more inclined to leave their job. Recent acquisitions.

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How to Create an Ideal Customer Profile (ICP) to Target the Right Customers

DiscoverOrg

Again, it varies by organization; you’ll need to determine what “best” means to you. Are they all organizations in the same stage of life? This works in prioritizing and qualifying Inbound leads – prospects that have come to your organization – to determine how you follow up or if they get passed to sales.

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An Independent Review of DiscoverOrg’s Data Accuracy Claims

DiscoverOrg

Title accuracy : Was the person’s title correct and did it specifically reflect their role in the organization? This helpful classification allows you to organize marketing campaigns by scope of responsibility. Company accuracy : Was the contact’s company current? The seniority level was 100% accurate. Email Address Accuracy.

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