Glossary
What is LTV? Lifetime Value in e-commerce
June 4, 2026
The LTV (Lifetime Value, customer lifetime value) estimates the total revenue or margin that a customer generates for your store over the entire duration of the business relationship. In e-commerce, the acronym LTV is mainly used in growth and finance to compare it to CAC and manage ad budget, retention, and profitability. In practice, LTV and CLV almost always refer to the same metric.
Summary
Definition: LTV, CLV and customer lifetime value
LTV (Lifetime Value) measures the cumulative economic value of a customer: the sum of their purchases (or margin generated) from the first to the last order, over a defined period or over the entire lifetime.
In DTC e-commerce, LTV answers: "How much does this customer bring in total, not just on their first order?"
Common formulas:
In practice, several elements must be taken into account. Historical LTV (individual customer): total of paid orders on the Shopify customer profile. Simplified average LTV: AOV × annual purchase frequency × customer lifetime (years). Cohort LTV: total revenue of an acquisition cohort ÷ number of customers (cohort analysis). Net LTV: Gross LTV − COGS − CAC − customer service costs (depending on internal model).
Simplified example: AOV €55, 2 orders per year, average relationship 2.5 years → LTV ≈ €55 × 2 × 2.5 = €275 (gross revenue, excluding discounts and returns).
Useful distinctions:
In practice, several elements must be taken into account. LTV vs CLV: in e-commerce practice, both acronyms refer to the same metric; LTV is the most frequent acronym in growth and analytics dashboards; CLV emphasizes the word customer. See also the Customer Lifetime Value sheet for the full term. LTV vs CAC: LTV = value generated; CAC = cost to acquire. LTV vs AOV: AOV = one order; LTV = all orders over time. Historical vs predictive LTV: actual observed sum vs statistical model (RFM, ML in Klaviyo or dedicated apps). LTV vs annual customer revenue: LTV covers several years or the entire lifetime.
Why LTV is strategic in e-commerce
Without LTV, you do not know if your Meta, Google, or influencer campaigns are profitable in the long run. Many stores optimize the ROAS of the first purchase, forgetting that the DTC margin is played out on the 2nd and 3rd order.
In practice, several elements must be taken into account. LTV/CAC ratio: central indicator in growth. Frequent benchmark in DTC: LTV/CAC > 3 over 12 to 24 months (with margin taken into account). A ratio < 1 means you lose money with each new customer. Ad ceiling: a high LTV allows for a higher CAC without sacrificing profitability. Payback: time to recover the CAC via the generated margin (often targeted in 3 to 6 months depending on cash flow). Segmentation: high-LTV VIPs vs. low-value one-shots (returning customers). Retention prioritization: email, loyalty, and customer service cost less than pure acquisition if the repeat LTV is low. Investors and board: LTV and LTV/CAC are standard KPIs to evaluate the quality of the customer base.
A rising LTV (better repeat, increasing AOV) offsets a stable CAC. A flat LTV with a climbing CAC signals a model under pressure: retention must be strengthened before scaling ads.
How to understand and calculate customer lifetime value
Three ways to work on LTV in retail:
1. Historical LTV (actual)
Sum of a customer's paid orders since their first order. Simple, reliable, available in Shopify ("Total spent"). Limitation: does not predict the future for a recent customer.
2. Cohort LTV (recommended)
Group customers acquired in the same month, track their cumulative revenue at M+3, M+6, M+12. Divide by the number of customers in the cohort → average LTV by horizon. The most reliable method for comparing acquisition channels (Meta vs. organic vs. email).
3. Predictive LTV
Model that estimates a customer's future value based on their behavior (RFM: recency, frequency, monetary value). Useful for segmenting VIPs or customers at risk of churn before they disappear. To be validated with real data: an uncalibrated prediction can overvalue the LTV.
Variables that influence LTV:
In practice, several elements must be taken into account. Frequency: consumables, subscriptions vs. one-time purchase. Retention: 2nd order rate at 90 days. Returns: reduce net revenue. Acquisition channel: some channels bring in more loyal customers. Post-purchase experience: delivery, packaging, support (customer experience).
For detailed formulas, numerical examples, and net CLV, see the CLV sheet.
LTV is understood as the total economic value a customer can generate throughout their entire relationship with the brand. It depends on the average order value, purchase frequency, loyalty lifespan, and sometimes margin.
LTV makes the most sense when compared to acquisition cost. If a brand spends a lot to acquire a new customer, it must verify that this customer can generate enough value over time. It is one of the indicators that allows transitioning from a transactional sales approach to a sustainable profitability approach.
Tracking LTV with Shopify and analytics tools
Shopify does not display a single "LTV" KPI by default; build it using customer and order data.
In practice, several elements must be taken into account. Customer profile: "Total spent" = individual historical LTV. Segments: customer spent over X €, number of orders > N. Analytics reports: customers over time, sales by customer, exported cohorts. CSV export: orders + customers → spreadsheet or BI for LTV by cohort. Klaviyo / ESP: predicted LTV, RFM, value segments. Analytics apps: Lifetimely, Peel, Triple Whale (LTV/CAC dashboards). E-commerce analytics: GA4 + Shopify to cross-reference acquisition and repeat purchases.
In practice, several elements must be taken into account. Set the timeframe (12 months, 24 months, lifetime) and keep it stable. Calculate the average LTV by monthly acquisition cohort. Compare with the CAC of the same acquisition month. Segment VIPs and activate retention flows (cart abandonment, post-purchase, win-back). Review quarterly: a young brand sees its LTV evolve rapidly with repeat purchases.
Shopify documentation on customer reports: Shopify Help Center.
The key takeaways about LTV
LTV, or customer lifetime value, estimates the total value a customer can generate throughout their entire relationship with the brand. It helps to evaluate the profitability of acquisition, retention, and CRM efforts. The higher the LTV compared to the acquisition cost, the more sustainable the store's business model is.
Associated terms, FAQ, and going further
Associated Terms
Associated concepts allow you to connect this definition to related topics: CLV: alternative acronym, detailed formulas. CAC: acquisition cost to compare with LTV. AOV: average order value, component of LTV. Recurring customer: driver of LTV. Cohort analysis: method of calculating LTV by acquisition wave.
FAQ
LTV and CLV: what's the difference?
In e-commerce, LTV (Lifetime Value) and CLV (Customer Lifetime Value) almost always refer to the same concept. LTV is the acronym most commonly used in growth, finance, and dashboards (LTV/CAC); CLV is frequent in customer marketing. Standardize on a single acronym internally.
What LTV/CAC ratio should you aim for?
Common benchmark in DTC: LTV/CAC > 3 over a 12-24 month horizon, taking margin into account. A young brand can temporarily accept a lower ratio if cash flow allows, provided that the LTV increases with repeat business.
Does Shopify display LTV?
Not as a native global KPI. Use the total spent per customer, customer reports, exports, or dedicated apps (Lifetimely, Klaviyo, Triple Whale, etc.).
Gross or net LTV?
Gross LTV (cumulative revenue) is simple to calculate. Net LTV (margin − CAC − variable costs) is more reliable for deciding the ad budget. Always specify which version you are communicating.
Going Further
Associated concepts allow you to connect this definition to related topics: CAC vs LTV: staying profitable. Retention and lifetime value. E-commerce and customer retention. Analytics and e-commerce data. Return to the Qstomy e-commerce glossary.
Sources: Shopify Help Center (Customer reports), DTC analytics practices (cohorts, LTV/CAC).
Enzo
13 May 2026
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