The Difference Between Point-in-Time Data and Live Data

By January 11, 2019
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In this video, I’ll break down the difference between point-in-time data and live data.

Point-in-time data is what legacy data vendors provide. It’s a snapshot on of the past state of a business, meaning this data is often out of date the moment it is received. This issue stems from the way data is collected, by using call centers instead of crawling the web and using A.I. to keep data up to date.

Modern data vendors provide their customers with live data. Live data is constantly being updated to determine the most accurate account and contact data. The problem with point-in-time data is that it leaves sales and marketing professionals with inaccurate data, causing issues with both broad-based marketing and individual prospect outreach. With live data marketing and sales professionals have the most up to date information, leading to higher engagement and more closed-won deals.

Check out the video below to learn more.

Video Transcript:

“Hey everybody, Matt Amundson here with another Modern Data Tip.

So today we’re going to talk about point-in-time data versus live data.

So point-in-time data is essentially a snapshot of a business. It’ll tell you, at one point, a company had X amount of revenue and this many employees, but you don’t know when that data was collected.

Versus a modern data provider, which will give you live data. This data is constantly refreshed, and it’s updated as that business grows.

Now, why is this important?

If you’re a sales or marketing professional and you’re operating off of old data, you might not be able to be successful in a sales cycle, or as a marketer, you might not be segmenting your database properly.

So make sure when you’re buying data, you’re buying data that’s alive.”

Related: Learn about EverString’s live data in the Enterprise Guide to the B2B Data Revolution.

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