Overview
Core to Power Circuit analytics, the LTV & Retention dashboard analyzes customer lifecycle value and unit economics. It benchmarks Lifetime Value (LTV), Customer Acquisition Cost (CAC), and retention behaviors to evaluate long-term profitability and growth strategies.
Integrations Required
Paid Media (e.g., Google Ads, Facebook Ads, etc.)
Digital Analytics (e.g., GA4)
OMS (e.g., Shopify)
Sections
Customer & Order Volume (Top Row) – High-level volume metrics tracking total Customers, New Customers, Repeat Customers, and total Orders. It also highlights the Repeat Customer Rate, providing an immediate snapshot of customer loyalty.
This answers: "Are we growing our customer base?" and "What percentage of our customers return to purchase again?"
Sales & Retention Efficiency (Second Row) – A financial breakdown of customer behavior, showing Net Sales split by New Customer vs. Repeat Customer Net Sales. Key efficiency metrics include Revenue Retention (percentage of revenue retained from prior cohorts) and Purchase Frequency.
This answers: "How much revenue comes from loyal customers versus new acquisition?" and "How often does the average customer purchase?"
Unit Economics: LTV & CAC (Third Row) – Critical profitability metrics including Ad Cost, LTV (Lifetime Value), CAC (Customer Acquisition Cost), the LTV:CAC Ratio, and AOV (Average Order Value).
This answers: "Are we profitable on a per-customer basis?" and "Is our acquisition cost sustainable relative to the value of the customer?"
Cohort & Trend Visualizations – A series of charts analyzing behavior over time:
Ad Cost over Time: Tracks marketing investment fluctuations.
New vs. Repeat Net Sales: Visualizes the revenue mix shift over time.
Average LTNS by Cohort: Shows the cumulative Lifetime Net Sales growth for different customer cohorts.
Repeat Purchase Rate by Cohort: Tracks how repeat rates evolve for specific groups of customers. This answers: "Are newer customers more or less valuable than customers acquired last year?"
Churn & Purchase Behavior – Visuals tracking Total Orders and Median Days Between Purchases alongside the Churn Customers Rate.
This answers: "How long does it take for a customer to make a second purchase?" and "at what rate are customers leaving the brand?"
