Documentation Index

Fetch the complete documentation index at: https://help.gong.io/llms.txt

Use this file to discover all available pages before exploring further.

How Activity level is calculated

Prev Next

Who can use this: Any team member

Available on: Forecast Essentials, Gong Forecast

Note:

This feature is rolling out gradually throughout July 2026 and some functionality may vary.

Activity level is a pre-calculated engagement score that ranks an account as High, Medium, Low, or Inactive for a selected time period. The score is recalculated three times a day, helping you quickly identify accounts with the strongest recent customer engagement.

Activity level is available as a Gong field in account views, such as the Account console, and Account boards, where it can also be used for filtering. It is calculated automatically and updates as customer engagement changes.

What activity level measures

Activity level measures the quality of customer engagement over a selected time period.

Available timeframes include:

  • Three weeks

  • Three months

  • Six months

  • One year

Each timeframe has its own independently calculated Activity level. For example, an account might have high activity over the last three months but low activity over the last year.

How Gong calculates Activity level

Rather than counting every interaction equally, Gong considers several factors when calculating Activity level.

These include:

  • Recency: More recent activity has a greater impact than older activity.

  • Volume: Accounts with more meaningful engagement generally receive a higher activity level.

  • Qualified engagement: Only inbound or bi-directional customer engagement is included in the calculation. Outbound-only activity is excluded.

  • Balanced scoring: Extremely high volumes of activity do not automatically result in the highest activity level. The calculation reduces the impact of very large numbers of interactions so historical or automated activity does not outweigh more meaningful recent engagement.

This approach provides a clearer signal of current customer engagement instead of simply showing which accounts have accumulated the most activity over time.

Activity level values

Activity level is displayed as one of the following values:

Activity level

Meaning

High

Strong recent customer engagement

Medium

Consistent customer engagement

Low

Limited recent customer engagement

Inactive

No qualifying customer engagement during the selected timeframe

The underlying numerical score is used internally by Gong for ranking and sorting and is not displayed.

FAQs

Why does an account have different activity levels for different timeframes?

Each timeframe is calculated independently. Recent engagement may produce a High Activity level over the last three months while the same account has lower overall engagement across the last year.

Does outbound activity affect the Activity level?

No. Activity level is based on inbound or bi-directional customer engagement. Outbound-only activity is not included in the calculation.

Can I see the numerical activity score?

No. Only the activity level of High, Medium, Low, or Inactive are displayed. The numerical score is used internally for ranking and sorting.

Can I change how Activity level is calculated?

No. Activity level is calculated automatically by Gong using the selected timeframe.

Why doesn't an account with hundreds of activities always have a High Activity level?

Activity level prioritizes recent, meaningful customer engagement. Very large volumes of historical or automated activity have less influence on the final score than recent engagement.

What weighting does Gong use when calculating Activity level?

Gong groups activities into three recency buckets for the selected timeframe. Each bucket receives a different weighting, with the most recent activities contributing the most to the final score. The algorithm also applies diminishing intensity scaling, where activities beyond the first group contribute progressively less to the overall score. This approach rewards recent engagement while preventing unusually high activity volumes from skewing the results.