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This playbook walks you through how to properly assign and calibrate Engagement Minutes for Demandbase Intent signals. You’ll learn:
When finished, you’ll have a reliable, scalable Engagement Minute Scoring Model aligned to your GTM strategy and built to accurately reflect real intent-driven activity.
Intent data helps you see which accounts are actively researching your products, competitors, or category. But raw intent is noisy, it needs structure and context to be actionable. Without a proper scoring model:
Applying Engagement Minutes transforms those raw signals into calculated insights. You’ll know exactly which accounts are worth prioritizing, and your Sales and Marketing teams can focus on the right Accounts at the right time.
Before implementing, ensure a few fundamentals are ready.
Start by confirming you understand how Demandbase defines intent, as human content consumption on third-party websites that include relevant terms for your business. Then, make sure your Demandbase Intent Keyword Sets are built and aligned to your GTM motion (e.g., one keyword set per product line or solution area).
Finally, verify that you have access to the Engagement Minute Scoring Model and the Intent Activities section inside the platform. That’s where all scoring configurations will take place.
This playbook teaches you how to assign Engagement Minutes to Demandbase Intent signals for accurate, actionable intent scoring that drives better targeting and ABM results.
Demandbase uses three intent variations:
Intent Strength Indicates if the organization is below (Low), at (Medium) or exceeding (High) interest in a specific term given how other organizations of their similar employee size have consumed similar terms.
| Account Size | Low | Medium | High |
|---|---|---|---|
| 1 - 10 employees | 1 person reading | 2 - 3 people reading | 4 or more people reading |
| 11 - 50 employees | 1 person | 2 - 4 people | 5 or more people |
| 51 - 200 employees | 1 - 2 people | 3 - 7 people | 8 or more people |
| 201 - 500 employees | 1 - 2 people | 3 -9 people | 10 or more people |
| 501 - 1K employees | 1 -2 people | 3 - 13 people | 14 or more people |
| 1K - 5K employees | 1 - 3 people | 4 - 18 people | 19 or more people |
| 5K - 10K employees | 1 - 3 people | 4 - 28 people | 29 or more people |
| > 10K employees | 1 - 3 people | 4 - 37 people | 38 or more people |
Trending Intent focuses on an individual account’s spike in interest on a specific term based on a rolling 2-month average interest on that specific term.
In your Engagement Minute Scoring Model, go to Intent Activities. You’ll see the three intent types we will cover:
Think of Demandbase Keyword Intent as the foundation and Geo Intent as a subset layer. You can:
Geo Intent lets you include or exclude regions (NA, EMEA, APAC, LATAM), or drill down to countries and even sub-regions within the U.S.

Use these recommended baselines to ensure consistent, scalable scoring. There are a lot of intent signals at any given Account, the bigger the organization the more intent signals they potentially have. For this reason we want to keep most of our scoring conservative by always staying below 1 Engagement Minute to avoid overvaluing the high volume of activities.
General Demandbase Keyword Intent
Competitive Keyword Intent
Trending Intent
Score entire keyword sets, not individual terms. It’s easier to maintain, prevents double-counting, and ensures all relevant signals are captured automatically.
One big best practice is to ensure that you do not have overlapping keywords in multiple keyword sets. This would cause potential double scoring as well.
Scenario: You have two generalized keyword sets and one competitive set.

Tip: Populate your competitive keyword sets with specific competitor names and branded terms, not generic ones.
Scenario: You want to score only Geo Intent signals for the USA, Canada, and EMEA.

Scenario: You’re already scoring Keyword Intent and want to add Geo weighting for target regions (e.g., USA + Canada).
Repeat for competitive keyword sets (0.035 / 0.05 / 0.10).

This boosts engagement for accounts in your core regions without inflating scores.
Scenario: You want to capture the surge of interest for specific keywords at specific accounts.
These are time-sensitive engagement spikes that can indicate immediate buyer readiness.
Once you’ve completed this setup, you’ll have a highly accurate, intent-focused Engagement Minute model that:
This framework turns raw data into a unified signal model that fuels smarter GTM decisions and accelerates pipeline impact. Once implemented, read our other playbook on “How to Find Top Competitive Intent Keywords”.
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