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Documentation Index

Fetch the complete documentation index at: https://docs.campground.fyi/llms.txt

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Engagement scoring gives you a single number that represents how active or complete a member’s profile is, based on the factors that matter most to your organization. You define a score by choosing a set of factors — such as “Active in the last 30 days” or “Tasks completed” — assigning a weight to each one, and Campground calculates a 0–100 score for every member automatically. You can then sort and filter your contacts table by score to identify your most engaged members or find those who need outreach.

How scores are calculated

A score is a weighted average of its factors. Each factor produces a value between 0 and 100, and the final score is the sum of each factor’s value multiplied by its weight, divided by the total weight. Example score: “Engagement Score”
FactorTypeWeightValue
Profile completeBoolean20100 (true)
Login countNumber3075 (normalized)
Tasks completedNumber5060 (normalized)
Score = (20 × 100 + 30 × 75 + 50 × 60) / (20 + 30 + 50)
      = (2000 + 2250 + 3000) / 100
      = 72.5
Weights do not need to sum to 100 — the formula normalizes them automatically. A factor with a higher weight has a larger influence on the final score.

Factor types

TypeHow it worksExample
BooleanThe factor is either true or false. True scores 100, false scores 0.”Active last 30 days”, “Email verified”, “Profile photo uploaded”
NumberThe factor produces a numeric value that is normalized against the highest value in your member population. A member with the maximum value scores 100; others are scored proportionally.”Tasks completed”, “Event attendance”, “Login count”
Missing or empty factor values default to 0 and do not cause errors.

Scores in the contacts table

When a score is active, it appears as a column in the Contacts table. Each row shows the member’s normalized score (0–100) alongside their profile details.
  • Sort by score — click the score column header to rank members from highest to lowest (or lowest to highest).
  • Filter by score — use the filter panel to show only members above or below a score threshold. For example, filter to members with a score below 40 to identify low-engagement contacts for a re-engagement campaign.
Each member’s score also includes a percentile rank — for example, a score in the 85th percentile means the member scores higher than 85% of your community.

Importing score data in bulk

You can set score factor values for multiple members at once by importing a CSV file. This is useful when you have engagement data from an external system — for example, event attendance records or task completion data from another tool. To import score data, go to Contacts, click Import, and map your CSV columns to the relevant score factors. Campground updates each member’s factor values and recalculates scores after the import completes.
Scores do not update in real time. After importing data or making changes that affect score factors, trigger a recalculation from the scoring settings panel to refresh all member scores.

Score configuration

Score setup — including creating new scores, adding factors, and setting weights — is managed by your Campground admin. If you need a new score defined or existing factors adjusted, contact your organization’s admin or reach out to Campground support.