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What Is Chronographic Data?

Though also considered a part of company data, chronographic data is particularly useful for B2B sales. Under this category, marketers often refer to these data points as “sales triggers.” In short, chronographics refers to any company change that would impact B2B sales. For example, a major new hire, a new acquisition or product launch. Even a change in headquarters hints at a new direction for the company, and new sales opportunities.

Where Does Chronographic Data Come From?

This data comes from both company data providers and various news sources. These news sources include industry and stock market news. Most importantly, however, news, newsletters, blogs, and company events provide important chronographic data.

What Types of Columns/Attributes Should I Expect When Working with This Data?

Attributes of this data typically include firmographic data, IP/patent data, IPO data, and event data like conventions or fairs. The list of attributes is large and heterogenous because so many things impact company growth or direction.

Users should also not limit themselves to seemingly positive chronographic data: financial downturns may be eased with certain B2B solutions, for instance.

What Is Chronographic Data Used For?

As noted earlier, B2B marketers are the primary users of chronographic data. ABM platforms with accurate and immediate updates to company contact and product data lead to faster conversions, and more satisfied customers. Predictive insights can also show when leads will be most likely to make a purchase.

Other users of this data include investors and market researchers; acquisitions, IPOs, and other changes impact stock estimations and market trends.

How Should I Test the Quality of This Data?

The most important concern for this data is accuracy and timeliness. Data sets that update immediately, or as close to it as possible, should be prioritized. Further, all contact and patent data must be cleansed regularly, as any attempt to reach out to a lead with outdated information will backfire.

Interesting Case Studies and Blogs to Look Into

Cognism: B2B Data: The fuel for your growth
Echobot: Sales Intelligence Blog: 14 Sales Triggers to Boost your Pitch

Tangible Examples of Impact

Emmanuelle wanted to learn whether the new sales outreach was truly effective. To do this, she created an A/B test. Of the eligible users, 80% were divided up among the sales team for outreach and 20% were held back as a control group. The inside sales team then used these pre-prepared lists to send their messages.

At the end of the first quarter of 2017, she and the data team compared the three cohorts: 1. Outreach, with responses to the outreach 2. Outreach, without responses 3. Control group, without any outreach.

Clearbit: Finding Sales Triggers

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