Salesforce Metric
Sales
Contact Engagement Score = (Weighted Activity Count over Period) x Recency Factor, where Weighted Activity Count = (Emails x w1) + (Calls x w2) + (Meetings x w3) + (Tasks x w4) and Recency Factor decays as days since last activity increase
Contact Engagement Score measures how actively a Salesforce contact interacts with your team, derived from logged activities such as emails, calls, meetings, and tasks recorded against the Contact and its related records. It combines the volume and recency of those interactions into a single weighted figure, so a contact with frequent recent touchpoints scores higher than one whose last activity was months ago. Because it reads directly from Salesforce activity history, the score reflects real relationship momentum rather than a static field someone updated by hand.
Full guide: definition, formula, and benchmarksSalesforceSalesContact Engagement Score
Contact Engagement Score measures how actively a Salesforce contact interacts with your team, derived from logged activities such as emails, calls, meetings, and tasks recorded against the Contact and its related records. It combines the volume and recency of those interactions into a single weighted figure, so a contact with frequent recent touchpoints scores higher than one whose last activity was months ago. Because it reads directly from Salesforce activity history, the score reflects real relationship momentum rather than a static field someone updated by hand.
How to calculate contact engagement score
Why contact engagement score matters for Salesforce users
In Salesforce, a deal can look healthy on the surface while the contact has quietly gone cold. Contact Engagement Score surfaces that risk early by reading the actual activity timeline, so reps and managers can tell the difference between an account that is genuinely progressing and one that is coasting on an old close date.
It also helps prioritise where attention goes. With a single score per contact, the team can focus follow-ups on relationships that are warming up, re-engage the ones that are fading, and avoid spending equal effort on every record regardless of how responsive the person has actually been.
Understand and act on contact engagement score with KPI Tree
Sync your Salesforce activity and contact data into your warehouse and compute Contact Engagement Score in KPI Tree, applying your chosen activity weights and recency decay. Place it in a metric tree alongside contact conversion rate and account health score so you can see how individual engagement rolls up into account-level momentum and pipeline outcomes.
Assign RACI ownership so a sales operations lead is Accountable for the scoring logic and reps are Responsible for acting on low-scoring contacts, then set a weekly review cadence in KPI Tree to catch fading relationships while there is still time to recover them.
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Related Salesforce metrics
Contact Conversion Rate
CRMMetric Definition
Contact Conversion Rate = (Contacts with Opportunities / Total Qualified Contacts) x 100
Contact conversion rate measures the percentage of contacts in Salesforce that become associated with an opportunity. It evaluates the effectiveness of lead qualification, nurturing, and sales development at converting the contact database into active pipeline.
Account Health Score
CRMMetric Definition
Account health score is a composite metric that evaluates the overall strength of a customer relationship using Salesforce data. It combines activity recency, opportunity pipeline status, support ticket trends, product adoption signals, and engagement frequency to produce a single score indicating whether an account is thriving, stable, or at risk.
Activity Volume per Rep
CRMMetric Definition
Activity Volume per Rep = Total Logged Activities / Number of Active Reps
Activity volume per rep measures the total number of logged activities (calls, emails, meetings, tasks) per sales representative in Salesforce over a defined period. It quantifies the effort each rep invests in customer-facing and pipeline-building activities and serves as a baseline for evaluating activity efficiency.
Customer Churn Prediction
CRMMetric Definition
Customer churn prediction uses Salesforce activity, support case, engagement, and renewal data to calculate a probability score indicating how likely each customer is to churn. It combines declining engagement frequency, increasing support escalations, contract approaching renewal without expansion signals, and reduced product usage into a composite risk score.
Explore contact engagement score across integrations
All Salesforce metrics
Account Health ScoreActivity Volume per RepMarketing ROIAverage Resolution TimeContact Conversion RateCustomer Acquisition CostCustomer Lifetime ValueDashboard Adoption RateDeal Stage ProgressionForecast AccuracyLead Conversion RateLead Response TimeLead Scoring EffectivenessOpportunity AgingWin RatePipeline Coverage RatioSales Pipeline VelocityQuota AttainmentReport Usage AnalysisRevenue by Product LineSales Cycle LengthSales Rep Performance AnalysisTerritory Performance AnalysisUser Adoption RateWin/Loss AnalysisContract Value AnalysisCustomer Churn PredictionCustomer Renewal RateDeal Stage Conversion AnalysisDeal VelocityEmail Engagement AnalysisLead Source AttributionMarketing Qualified Lead RatePipeline ValueSales Velocity AnalysisUpsell Cross-sell AnalysisAccount Growth RateActivity Based AnalysisAverage Deal SizeCampaign Attribution AnalysisCampaign ROICase Resolution TimeChurn Risk AnalysisCustomer Segmentation AnalysisLead Source AnalysisMonthly Recurring RevenueOpportunity Stage AnalysisPipeline VelocityProduct Performance AnalysisQuote To Close RateSales Funnel AnalysisSales Pipeline ValueSales Rep Quota AttainmentEmpower your team to understand and act on Salesforce data
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