The LTV Analysis feature in the Lebesgue app gives you a complete view of how your customers behave over time and how much value they bring to your business.
By tracking key metrics like Lifetime Value (LTV), retention, revenue per cohort, and average order value, this feature helps you measure the long-term impact of your marketing efforts and customer acquisition strategies.
Average LTV
Average LTV shows how much total revenue a customer is expected to generate during their first 6 months (and in the next 6 months, if predictive mode is on). This projection is based on your selected time period, and more weight is always given to recent cohorts to reflect current performance more accurately.
Understanding your average LTV helps you make better decisions around customer acquisition costs (CAC), retention strategies, and budgeting.
Revenue Over Time
The Revenue Over Time chart visualizes your revenue trends across weeks, months, quarters, or years. It also allows you to differentiate between new customers and repeat customers, helping you:
Understand how customer loyalty is evolving over time
Spot growth opportunities within repeat customer segments
Identify seasonal or campaign-based spikes in revenue
User Cohorts
A user cohort is a group of customers who made their first purchase during the same time period (e.g. a specific month). This view allows you to analyze how those customers behave over time—how much they spend, how often they return, and how their LTV develops over the months.
With cohort analysis, you can:
Track how long it takes to recover your CAC
Measure customer retention after the first purchase
Spot high-value cohorts to guide future marketing investments
You can switch between two views:
Cumulative – See the total revenue or total orders a cohort has generated over time
Prediction – Unlock a statistical model that forecasts how a cohort will behave in the future (6, 12, or 24 months into the future)
Note: Averages are calculated across all selected cohorts, with more weight placed on recent ones, since they provide the most relevant performance trends.
Cohort Statistics
The Cohort Statistics section within the Lifetime Value Analysis helps you dive deep into your customer behavior and evaluate the performance of each cohort based on the most important business metrics.
With this breakdown, you can quickly answer questions like:
Which cohort has the highest retention rate?
How long does it take for a new customer to pay back their acquisition cost?
Which cohort is expected to generate the most revenue?
Are your acquisition efforts getting more or less efficient over time?
How many repeat orders are you getting per customer?
Use this data to better understand customer lifetime value trends, optimize your acquisition budget, and forecast future revenue performance.
The Cohort Statistics table summarizes all key performance indicators for each individual cohort, including:
Number of Customers
Definition: The number of customers in the selected cohort.
AOV (Average Order Value)
Definition: Revenue divided by the number of orders—this tells you how much, on average, each order is worth.
First-time AOV
Definition: Average order value for customers who made their very first purchase during the selected period
Repeat AOV
Definition: Average order value for customers who placed a repeat purchase. This helps compare the quality of repeat orders vs. first-time orders.
Current Revenue
Definition: The total revenue generated by a specific cohort to date.
Current Lifetime Value
Definition: The current LTV of customers in this cohort, calculated as the total revenue divided by the number of customers.
Current Orders per Customer
Definition: Average number of orders placed per customer in this cohort so far.
Blended CAC (Customer Acquisition Cost)
Definition: Total advertising spend across all channels divided by the number of customers acquired in that cohort.
Advertising Spend
Definition: Total amount spent on ads during the time when this cohort was acquired.
Expected Revenue
Definition: Projected total revenue that this cohort is expected to generate over their first 6 months.
Expected LTV
Definition: Predicted revenue per customer in this cohort over the initial and next 6 months, based on behavior trends.
Expected Orders per Customer
Definition: Predicted number of orders per customer in the first 6 months from acquisition.
Expected Payback Period
Definition: The amount of time (weeks, months, quarters, or years) needed for this cohort’s revenue to surpass the acquisition cost.
Retention Rate
Definition: Percentage of customers in the cohort who returned to place at least one more order.
Churn Rate
Definition: Percentage of customers who made only one purchase and never came back.
Average Lifetime Value
This chart shows the average revenue generated per customer from the moment they make their first purchase up to the sixth month after. It gives you a clear picture of how quickly your customers generate value—and at which point their LTV surpasses your CAC.
This is a great way to:
Monitor how long it takes to break even on your acquisition efforts
Visualize LTV growth over time
Compare average LTV against CAC benchmarks
Custom Filters
Use custom filters to narrow down your analysis based on attributes like:
Product, product type, or product vendor
Country or state
Discount code or discount title
Marketing channel and full UTM breakdown (source, medium, campaign, content, term)
Customer tag
This gives you the flexibility to isolate performance by campaign, acquisition channel, or any custom tagging you’ve set up in your store.
Why This Matters
Analyzing customer LTV and cohorts isn’t just about looking at past performance—it’s about using those insights to:
Allocate your marketing budget more effectively
Spot trends and outliers in customer behavior
Double down on channels that attract high-LTV customers
Refine retention and re-engagement strategies
With this feature, you get full visibility into your revenue-driving segments and the tools to act on that insight.
Need Help?
If you’re unsure how to read the LTV Analysis data or want help setting up your filters:
Chat with Us: Use the chat icon in the app or on our website.
Schedule a Call: Book a 1-on-1 consultation with our Customer Success team:
Tony, Customer Success Lead – Book a Call
Paula, Customer Success & Support Manager – Book a Call
We're here to help you get the most out of your data.
Related Articles:
What Is Lifetime Value?
What Are User Cohorts?
LTV by Product
LTV by Marketing Channel
LTV by Discount
LTV by Country
LTV by State