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Clearbit for Clari

B2B Marketing Data vendor Clearbit partnered with Revenue Operations Platform Clari to deliver enriched contacts into CRMs.  Clari identifies external contacts from emails and meeting activity, helping fill out the buying committee.  According to Clari, only 30% of sales-engaged contacts are entered into the CRM.  By automating the contact identification process, sales reps have a clearer view of the full demand unit, allowing them to target messaging by function and recognize potential gaps in their knowledge of the buying committee.

By expanding knowledge of the demand unit, Clari can identify the broader set of decision-makers and reduce deal risk through multi-threaded relationship building.  Relying on one or two contacts has multiple risks:

The expanded knowledge also helps marketing teams identify the key personas involved in deals and customize content and messaging.

“Now all the contacts that showed up for a sales meeting, even the ones that were added to the invite by the prospect, are automatically associated with the opportunity without your rep needing to lift a finger.”

Clari Marketing Programs Manager Maggie Kullman

Clearbit enriches the contacts with title, job function, and level. Firmographic and technographic details are also appended.

“As budgets get tighter and operating plans are reworked, having your prospects’ finance team involved early on is critical to accelerating the deal toward close,” wrote Clari Marketing Programs Manager Maggie Kullman.  “With the combination of Clari, Clearbit, and a little bit of automation, you can trigger an update to an opportunity field any time a CFO gets added to a meeting with the sales rep.  Now you can easily track which of your deals are missing a critical decision-maker and take actions to drive that relationship.”

Demand Units are a term coined by SiriusDecisions a few years ago when they updated their Demand Waterfall model for B2B sales and marketing. Each opportunity is associated with a set of decision-makers (e.g. technical, financial, functional directors) and influencers (e.g. users, admins). Demand Unit discovery is still in the early stages of development, but looking at email headers, out of office messages, and meeting attendees is a promising approach for organically identifying buying committee members.

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