data intelligence

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Dirty Data Done Dirt Cheap

The problem is, sometimes things ARE too good to be true. It happens rarely, but just often enough that we think our turn is next, our number is sure to be next. And yet, businesses make risky investments every day in hopes of saving a few bucks. And when it fails to pay off, the cost of digging out of the hole usually far outweigh the more expensive option. That’s true of any investment, from cheap stocks, to cheap shoes, to cheap data.

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How to Leverage Competitive Intelligence to Win Deals

Intent and Opportunity data are hallmarks of sales intelligence, and they’re not part of a standard, raw data offering. Intent data is an interpretation of implied pain points, and it provides a stark advantage against a competitor: timing.

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gdpr regulations compliance

Cold Email, Warm Leads: Where Does Good Data Come From?

Are emails in DiscoverOrg really over 3.5 times cleaner than the typical email address used by sales professionals? The short answer is “Yes!” DiscoverOrg pumps over $15 million into our proprietary data gathering and cleansing process every year, with the sole purpose of providing our customers with quality data.

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A Formula for Predictive Intelligence: Fit + Intent + Opportunity Data

The most important takeaway here is not the individual data point; rather, it’s that Intent data is meaningless unless it's informed by Fit data. Companies can “compare the products of other vendors in your category” all day long ... but without the proper Fit criteria such as Industry, Department budget, or complimentary technologies - a sale will never happen.

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predictive data points black box

Breaking Open the Predictive Black Box: What Data Points Actually Predict a 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.

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2018 predications for AI artificial intelligence B2B B2C

Artificial Intelligence for B2B Sales & Marketing: Reality vs. Hype in 2018

If it seems like we haven’t realized all the tantalizing, fantastic possibilities we imagine artificial intelligence (AI) to bring, that may be because expectations are high - perhaps unrealistically so. I believe that AI will change the way we do business in the future; however, companies should temper zealous expectations with the following reality check before considering AI investments.

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The Power of Sales Intelligence #1: Data quality and management

Marketing and sales intelligence is more than just data. Think of it like a college textbook: They are are constantly being updated. Why? Because time has an effect on data. Marketing and sales data is no different; it also needs to be constantly refreshed to be accurate.

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The Scariest Thing is What You Don’t See: Your Garbage Sales & Marketing Data is Killing You

"One vendor who uses a 600-person team in India, listed a CEO’s wife as the company’s ‘Head of IT,’ even though she had not worked for the company for more than 30 years. Other contacts they identified as corporate CIOs were, instead, dentists, actors, and aircraft maintenance technicians."

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The Power of Marketing and Sales Intelligence

Sales intelligence. Lead lists. Not sure where to start … or why you should care? You’re in the right place. For many years, sales and marketing teams turned to list providers for prospecting and lead generation. Plagued by incorrect, incomplete, and outdated information, these purchased lists typically led to a lot of time wasted calling

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Independent case study comparing apples to oranges

All Data is Not Created Equal: Independent Case Study Proves Why Quality Beats Quantity

Even though SalesFolk used 3 times more leads from ZoomInfo, DiscoverOrg email addresses yielded almost 10 times more positive responses.

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© 2018 DiscoverOrg, All Rights Reserved
© 2018 DiscoverOrg, All Rights Reserved
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