Board path
Live Commerce > Store Performance
Why use this board
Use this board to compare live commerce results by store or location; spot regional leaders and underperformers.
Board controls
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Data source: Select a value from the toolbar.
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Store Names: Select a value from the toolbar.
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Aggregation: Day, Week, Month, Quarter, Year.
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Date range: Defaults to the last 30 days. The board subtitle shows the active range when available.
Metrics on this board
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Total revenue — Sales overview per store
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seconds — Average time to accept
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hours — Total talk time
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Customer comments — Customer comment percentage
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Total orders — Total orders
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Total Orders — Sales overview per store
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seconds — Average time to decline
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Total attributed revenue — Total attributed revenue
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Total unique users — Total unique users
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Unique users — Total unique users by interaction status trend
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Unique users — Total unique users by store and interaction status trend
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minutes — Average talk time
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Average CSAT — Average CSAT
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Average CSAT Q3 — Average CSAT Q3
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Advisor stream health — Advisor stream health percentage
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Average order value — Average order value
Widgets
Sales overview per store
What it measures: An overview of sales metric (revenue) from all the stores within the selected date range. Shown as vertical bars — compare categories side by side to see which drives the most volume.
Metrics: Total revenue
Visualization: Bar chart
Average time to accept
What it measures: The average number of seconds advisors took to accept the call for the selected stores during the selected date range. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: seconds
Visualization: Value
Total talk time
What it measures: The total number of hours in which the advisors were in call with customers for the selected store during the selected date range. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: hours
Visualization: Value with change
Customer comment percentage
What it measures: The percentage of customers who submitted a customer comment that was received by the advisors for the selected store during the selected date range. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: Customer comments
Visualization: Value with change
Total orders
What it measures: The total number of 1:1 sales attributed to advisors within the selected date range for the selected stores. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: Total orders
Visualization: Value with change
Sales overview per store
What it measures: An overview of sales metric (total orders) from all the stores within the selected date range. Shown as a trend over time — use it to spot spikes, drops, and seasonality across the selected period.
Metrics: Total Orders
Visualization: Line chart
Average time to decline
What it measures: The average number of seconds in which the advisors took to decline the call for the selected stores during the selected date range. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: seconds
Visualization: Value with change
Total attributed revenue
What it measures: The total amount of revenue generated from orders attributed to advisors within the selected date range for the selected stores, this metric also includes external sales made within a designated time window following a live advisor interaction. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: Total attributed revenue
Visualization: Value
Total unique users
What it measures: The total number of unique users who started an interaction with the advisors of the selected stores that was accepted, declined, or missed within the selected date range. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: Total unique users
Visualization: Value
Total unique users by interaction status trend
What it measures: The distribution of the number of unique user interactions for the selected stores within the selected date range, segregated by interaction status (accepted, missed, or declined). Shown as vertical bars — compare categories side by side to see which drives the most volume.
Metrics: Unique users
Visualization: Bar chart
Total unique users by store and interaction status trend
What it measures: The distribution of the number of unique user interactions for the selected stores within the selected date range, segregated by store and interaction status (accepted, missed, or declined). Shown as vertical bars — compare categories side by side to see which drives the most volume.
Metrics: Unique users
Visualization: Bar chart
Average talk time
What it measures: The average number of minutes in which the advisors of the selected stores were actively in call with a customer during the selected date range. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: minutes
Visualization: Value with change
Average CSAT
What it measures: The average of all csats (customer satisfaction scores) across all live advisor surveys for the selected stores within the selected date range. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: Average CSAT
Visualization: Value
Average CSAT Q3
What it measures: The average of Q3 csats (customer satisfaction scores) across all Live Advisor surveys for the selected stores within the selected date range. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: Average CSAT Q3
Visualization: Value
Advisor stream health percentage
What it measures: Stream health score indicates the quality and stability of live advisor calls for the selected stores within the selected date range. This metric specifically indicates stream health from the perspective of the advisor. Shown as a KPI with period-over-period change — use it to see whether the metric is rising or falling.
Metrics: Advisor stream health
Visualization: Value with change
Average order value
What it measures: The average amount spent by users per transaction attributed to an advisor, average order value is calculated by dividing total attributed revenue by the total number of orders over the selected date range for the selected stores, this metric includes external sales made within a designated time window following a live advisor interaction. Shown as a single KPI — use it as the headline number for the selected period.
Metrics: Average order value
Visualization: Value