Salesforce Metric
CRM
Report usage analysis examines how Salesforce reports and dashboards are consumed across the organisation. It tracks which reports are viewed most frequently, which users access them, which reports are never viewed, and how report consumption correlates with sales performance and data quality.
Report Usage Analysis
Report usage analysis examines how Salesforce reports and dashboards are consumed across the organisation. It tracks which reports are viewed most frequently, which users access them, which reports are never viewed, and how report consumption correlates with sales performance and data quality.
Why report usage analysis matters for Salesforce users
Salesforce implementations often accumulate hundreds of reports over time, many built for specific one-time requests and never used again. Report usage analysis identifies which reports actually drive decisions and which are digital clutter. Cleaning up unused reports improves system performance, reduces user confusion, and focuses analytics investment on the views that matter.
Usage patterns also reveal analytics gaps. If certain roles or teams rarely access reports, they may lack the reporting they need or may not understand the reports available to them. Conversely, users who run the same report daily but export to spreadsheets for further analysis are revealing a gap in Salesforce's native reporting that could be addressed with better dashboard design or KPI Tree's metric trees.
Understand and act on report usage analysis with KPI Tree
Land Salesforce event log data capturing report views, dashboard refreshes, and export events in your warehouse. KPI Tree analyses usage patterns by report, user, role, frequency, and time period.
Add report usage to your metric tree as a CRM health metric. Assign ownership to the Salesforce admin or BI team, set alerts for critical reports that stop being viewed, and correlate report usage with sales outcomes to identify which analytics consumption patterns are associated with higher performance.
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Connect your existing warehouse where Salesforce data already lands.
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 Salesforce metrics
Dashboard Adoption Rate
CRMMetric Definition
Dashboard Adoption Rate = (Users Viewing Dashboards in Period / Total Active Salesforce Users) x 100
Dashboard adoption rate measures the percentage of Salesforce users who actively view and interact with dashboards and reports on a regular basis. It evaluates whether the analytics investments made in Salesforce are actually being consumed by the intended audience and driving data-informed decision-making.
User Adoption Rate
CRMMetric Definition
User Adoption Rate = (Active Users in Period / Total Licensed Users) x 100
User adoption rate measures the percentage of licensed Salesforce users who actively log in and perform meaningful actions (creating records, updating opportunities, logging activities, running reports) within a defined period. It evaluates whether the Salesforce investment is being utilised by the intended user base.
Sales Rep Performance Analysis
CRMMetric Definition
Sales rep performance analysis compares individual reps across the full spectrum of Salesforce metrics: activity volume, pipeline generation, stage conversion rates, deal sizes, cycle lengths, win rates, and quota attainment. It identifies top performers, reveals the specific behaviours that drive success, and pinpoints coaching opportunities for each individual.
Forecast Accuracy
CRMMetric Definition
Forecast Accuracy = (1 - |Forecasted Revenue - Actual Revenue| / Actual Revenue) x 100
Forecast accuracy measures the percentage deviation between revenue forecasts derived from Salesforce pipeline data and actual closed revenue for a given period. It evaluates the reliability of opportunity stage probabilities, close date predictions, and deal value estimates across the sales organisation.
All Salesforce metrics
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