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This playbook explains how to assign Engagement Minutes to G2 intent signals within Demandbase. You’ll learn:
By the end, you’ll have a complete scoring framework for G2 data that aligns with your GTM strategy, surfaces high-value buying signals, and prevents data noise.
G2 intent data gives you a direct view into what accounts are doing when they’re on G2.com, whether they’re viewing your product, exploring competitors, or reading reviews. However, without careful weighting, these high-volume signals can overwhelm your engagement model.
By using Engagement Minutes, you can:
G2 intent is a highly actionable intent data source, this playbook ensures it’s integrated accurately and effectively.
Before you begin, confirm that your G2 account is connected to Demandbase and that G2 intent data is in the platform. You can follow these step-by-step instructions if the integration is currently not active.
Next make sure you have access to the Engagement Minute Scoring Model, specifically the Intent Activities section.
Meet with your Marketing and Sales teams to decide which G2 signals they find most valuable. We will cover all the different G2 signals in the next section. Customers typically identify signals tied to strong buying intent based on their buyer’s purchasing patterns.
Once aligned, you can set up scoring that reflects true buyer readiness, balancing volume control and signal impact.
This playbook teaches you how to assign Engagement Minutes to G2 intent signals for smarter scoring, stronger buyer insights, and better alignment between Marketing and Sales.
G2 sends multiple types of signals to Demandbase, each prefixed with the “G2 Activity:” types, followed by the G2 Activity Description and always ends with a “| G2”
G2 sends over 10 different prefix based G2 Activity Types. To prioritize all variations, we will group them into high level activity type groups; Indirect Interest, Direct Interest and Competitive Interest.
Indirect interest signals:
Direct interest signals:
Competitive interest signals:
Due to the large volume of G2 data, it’s critical to avoid score inflation. The best approach is to identify which signals Sales and Marketing teams can actually act on.
Two common approaches:
This prevents low-impact signals (like ad impressions) from distorting engagement insights.
You can optionally score G2 signals based on location if G2 is able to provide that data. There are four tiers of geographic granularity:

You can take one of two approaches:
Regardless of your approach, always score at the signal level (e.g., Products.pricing, Comparisons.show) to maintain simplicity, consistency and avoid duplication.
Here are Demandbase’s recommended scoring values for G2 intent signals broken into three types of interest:
Indirect interest
Direct interest
Competitive interest
These values reflect that direct and competitive intent signals carry more weight because they show deeper buying behavior.
Scenario: You want to score all G2 signals using best-practice values, without filtering by location.

Result: All G2 intent data contributes engagement to your accounts, reflecting both early and high-intent behaviors.
Scenario: You want to focus only on the highest-value buying signals.

This model highlights the most actionable intent behaviors for your GTM teams.
Scenario: You only want to track competitive signals (Comparisons and Competitors) in North America.

This setup narrows focus to competitive interest in your core selling region.
Scenario: You want to score high-value signals globally, but slightly increase weight for North America.

This effectively increases NA-based G2 intent by ~50%, signaling stronger importance for your primary market.
When implemented, this playbook ensures that:
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