InsideView data is

Up to 20% more accurate

Data Accuracy: Compare our data to the industry at large.

The Benchmark Methodology Each quarter, we randomly pull 1,000 contacts from each provider’s database across business lines (HR, IT, Finance, Ops, Engineering, Legal, Marketing, Sales) and job levels. We also pull a second dataset of higher-profile contacts from Fortune 1000 companies. To determine accuracy, we manually check each lead against these information sources: company website, recently updated LinkedIn profile, recent news mention, recent regulatory filing. Each lead’s data must be corroborated by at least one of these credible sources, otherwise the contact is considered invalid. For purposes of this benchmark, accuracy is defined as correct name, correct company, correct title, and still employed with the company. And, while our company data is not benchmarked, it goes through even more rigorous validation, confirming 23 data points, including revenue, employee counts, urls, industry, etc.

Data from Q1 2016

Learn how InsideView

is able to deliver the industry’s most reliable data.

Discover Why B2B Data is Not Perfect

Data is fluid and ever-changing.  At any given moment, a dataset, even the very best one, is like a photograph of a river.  At the moment you take the picture it represents reality, but a fraction of a second later reality has changed.

For example, in the next 60 minutes, in the U.S. alone:

businesses will open

U.S. Companies will move*

execs will be promoted*

The point?  There’s no such thing as perfect data, and expecting it will only lead to disappointment.  But you can get data significantly more current and complete than what you have today…and it will have a direct impact on your bottom line.

*Source: From our good friends at D&B: Be the First to Know with Real-Time Data Monitoring, April 9, 2015,  http://www.dnbpartner.com/real-time-data-monitoring

Is InsideView data accurate enough?

What is the best way to evaluate accuracy — to form reasonable judgements about whether data is “good” or “bad”?  Ask yourself if the information is accurate enough to be actionable. Do you need an exact employee count or is “in the ballpark” good enough?  Do you need a direct dial phone number – knowing that individual phone numbers, in particular, are one of the quickest data points to go stale?  Would a general office phone work just as well – maybe even better? Need a more objective measure?

See how it’s working for our clients.

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