Signals Research Intent Overview

Buyers from your target accounts are browsing your website and researching your products every day. The Signals AI Predictive Model combines first-party website engagement, third-party research intent data, and Salesforce data to identify where each account is in their buyer journey.

In this article, we'll dive into how Qualified Research Intent, powered by Bombora, helps you uncover target accounts that are in-market to buy. When you select topics that indicate interest in your products or services, their research levels are displayed in Signals Account Lists and the Signals Account 360.

• Research Score
• Research Intent

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Research Score

The Research Score is a value between 0–100 and is calculated once every seven days. Our proprietary model takes into account if and how frequently topics were researched online over the previous several weeks.

To view the Research Score and which topics the account researched, hover over its icon in the Account 360 timeline or look within the activity panel:

When an account doesn’t search any of your topics in a meaningful way for several weeks, the Research Score will be zero. Once the account searches for at least one of your designated topics again and it’s been at least seven days since the last calculation, the Research Score will increase.

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Research Intent

We also display the Research Intent that corresponds to the Research Score in the Account 360’s top overview bar:

When an account’s Research Intent is Hot, it means they’re searching the topics you selected more frequently than before. Ask your sales reps to connect with their contacts to take advantage of the momentum. In contrast, a Cold Research Intent suggests that the account is losing interest and the deal may be more at risk. This may be an important time for your sales team to outreach.