KPI Tree

Attio Metric

CRM

Contact engagement score is a composite metric that quantifies how actively a contact is interacting with your team based on activity data logged in Attio. It weights emails exchanged, calls completed, meetings held, and recency of last interaction to produce a single score indicating relationship strength and buying intent.

Contact Engagement Score

Contact engagement score is a composite metric that quantifies how actively a contact is interacting with your team based on activity data logged in Attio. It weights emails exchanged, calls completed, meetings held, and recency of last interaction to produce a single score indicating relationship strength and buying intent.

Why contact engagement score matters for Attio users

Attio captures every touchpoint between your team and contacts, but interpreting dozens of individual activity records per contact is impractical at scale. A composite engagement score distils all interaction data into a single number that ranks contacts by relationship strength. This enables reps to prioritise follow-ups objectively, focusing on contacts showing genuine engagement rather than guessing who to call next.

Engagement scores also reveal relationship decay. A contact who was highly engaged three months ago but has had no recent interaction is at risk of going cold. Tracking score changes over time surfaces these at-risk relationships before they lapse entirely, creating proactive re-engagement opportunities that would otherwise be missed in a busy pipeline.

Understand and act on contact engagement score with KPI Tree

Sync Attio activity records (emails, calls, meetings, notes) into your warehouse through ETL. KPI Tree calculates engagement scores by weighting each activity type and applying recency decay to produce current scores per contact.

Add contact engagement score to your metric tree as a leading indicator upstream of deal progression. Assign ownership to account executives for their key contacts, set alerts for contacts whose scores drop below critical thresholds, and correlate engagement scores with deal outcomes to calibrate the scoring model over time.

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Data Warehouse
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Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.

Related Attio metrics

Contact Lifecycle Analysis

CRM

Metric Definition

Contact lifecycle analysis tracks how contacts progress through defined stages in Attio: from initial creation, through qualification, active engagement, opportunity association, and customer conversion. It measures conversion rates between stages, time spent in each stage, and identifies where contacts stall or churn out of the pipeline.

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Activity Volume Trends

CRM

Metric Definition

Activity volume trends measure the total count and distribution of logged activities (emails, calls, meetings, notes) across time periods in Attio. This metric tracks whether activity levels are increasing, decreasing, or seasonal, and segments volume by activity type, rep, and deal stage to reveal effort allocation patterns.

View metric

Lead Response Time

CRM

Metric Definition

Lead Response Time = Timestamp of First Rep Activity - Timestamp of Lead Creation

Lead response time measures the elapsed time between a new contact or lead being created in Attio and the first meaningful outreach by a sales rep (email, call, or meeting). It quantifies how quickly the sales team acts on new leads, which directly correlates with conversion probability.

View metric

Contact-to-Deal Conversion Rate

CRM

Metric Definition

Contact-to-Deal Conversion Rate = (Contacts with Active Deals / Total Qualified Contacts) x 100

Contact-to-deal conversion rate measures the percentage of contacts in Attio that progress from initial CRM entry to being associated with an active deal. It is the most direct measure of whether your lead generation and qualification processes are producing contacts that enter the sales pipeline.

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