# Modeling LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → when revenue depends on deposits, spend, or credit usage
A SaaS founder and a neobank founder both say "our LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → is $400." One of them is measuring something stable and contractual. The other is measuring a number that swings with interest rates, customer spending habits, and whether a user ever bothers to set up direct deposit. Same acronym, completely different animal.
(, sometimes for ) is the total net revenue a business expects from a customer over the relationship. In SaaS, it's built on a subscription price and a : predictable, monthly, contractual. In fintech, revenue often depends on what the customer *does*, not what they *pay*. That single difference breaks most standard templates.
This lesson builds LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → formulas for three fintech revenue shapes: interchange, interest spread, and subscription. Then it shows why comparing a neobank's LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → curve to a SaaS payback model is comparing a wave to a staircase.
Most consumer fintech products are free or near-free to open. Revenue comes from usage:
A customer who signs up but never funds their account, never swipes the card, and never borrows generates close to zero revenue, regardless of how "activated" they look in a funnelfunnelThe customer journey from awareness to purchase, typically Awareness, Interest, Consideration, Decision, Action, with prospects narrowing at each stage.Voir la définition complète → dashboard. This is why fintech marketing teams obsess over funded accounts and active usage, not just signups.
Interchange revenue scales with card spend. The formula:
LTV = (Average monthly spend × Interchange rate × Gross margin) × Average lifetime in months
Worked example:
Monthly revenue per user = $1,200 × 1.5% × 70% = $12.60
LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → = $12.60 × 30 = $378
Notice: this LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → is fragile. If average spend drops from $1,200 to $600 (a very common pattern when a card becomes a secondary, not primary, account), LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → halves instantly. SaaS churn erodes LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → gradually; interchange LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → can erode from disengagement even while the customer technically hasn't churned.
Neobanks and savings apps earn a spread on deposits. The formula:
LTV = (Average deposit balance × Spread captured × Gross margin) × Average lifetime in years
Worked example:
Annual revenue per user = $2,500 × 2.5% × 80% = $50
LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → = $50 × 3 = $150
The critical, non-obvious point: this LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → moves with interest rate policy from central banks (the US Federal Reserve, the European Central Bank), not with anything the marketing team controls. A rate cut can shrink LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → 30 to 40% overnight with zero change in customer behavior. This is why fintech marketing and finance teams must recompute CACCACCustomer Acquisition Cost (CAC) is the total sales and marketing spend divided by the number of new customers gained in a period. It measures how efficiently you grow.Voir la définition complète → payback assumptions whenever rate environments shift, something a SaaS marketer never has to think about.
This is the closest fintech gets to SaaS logic, used by products like premium neobank tiers or robo-advisors with flat fees.
LTV = Monthly subscription fee × Gross margin × Average customer lifetime (months)
Worked example:
LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → = $9.99 × 85% × 24 = ~$204
This is stable and forecastable, the way SaaS LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → is. But pure subscription fintechs are rare; most blend this with interchange or spread revenue (a checking account with a paid premium tier, for instance), which means real-world LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → models are usually hybrid, summing two or three of these formulas per customer segment.
A SaaS payback model assumes fairly flat monthly revenue per customer until they churn: a staircase that steps down to zero at cancellation. A fintech LTVLTVLifetime Value: the total revenue (or profit) a customer generates throughout their entire relationship with your business.Voir la définition complète → curve is usually a wave:
1. Ramp-up: new users take weeks or months to move their direct deposit, set up bill pay, or fund a balance. Revenue starts near zero.
2. Peak engagement: revenue rises as the product becomes primary.
3. Decay or plateau: spend or balances may shrink if the customer diversifies across multiple financial apps (very common; most consumers hold 3+ financial apps, per surveys from firms like Plaid on connected finance behavior).
4. Long tail: some users keep a small balance or occasional spend indefinitely without ever fully churning, an ambiguous "zombie" state that SaaS subscription cancellation doesn't have an equivalent for.
This is why fintech marketers track funded account rate, primary banking relationship rate (does the customer use this as their main account), and balance/spend cohort curves, not just retention curves.
Vérification des acquis
1. Why does a standard SaaS LTV formula (price × retention) break down when applied to a neobank?
2. A fintech customer opens an account but never funds it or swipes their card. According to the lesson's logic, what is true about this customer?
3. What is the key distinction between 'interest spread' as used for marketing/LTV purposes versus net interest margin as an accounting metric?
4. Select ALL correct answers describing revenue mechanisms that drive fintech LTV, as distinct from a flat SaaS subscription.
Sélectionnez toutes les réponses correctes.
5. Select ALL correct answers about why comparing a neobank's LTV curve to a SaaS payback model is like 'comparing a wave to a staircase.'
Sélectionnez toutes les réponses correctes.
def blended_ltv(monthly_spend, interchange_rate, avg_balance, spread_rate,
sub_fee, margin, lifetime_months):
interchange_rev = monthly_spend * interchange_rate * margin
spread_rev = (avg_balance * spread_rate / 12) * margin
sub_rev = sub_fee * margin
monthly_total = interchange_rev + spread_rev + sub_rev
return monthly_total * lifetime_months
# Example: hybrid neobank customer
ltv = blended_ltv(
monthly_spend=1000, interchange_rate=0.015,
avg_balance=1800, spread_rate=0.02,
sub_fee=4.99, margin=0.75,
lifetime_months=28
)
print(round(ltv, 2)) # illustrative output onlyThis kind of model is what growth and finance teams build jointly. The output isn't a single number; it's a distribution across cohorts (by acquisition channel, by activation behavior, by whether direct deposit was set up in the first 30 days).
Always treat these as directional. Public, audited fintech marketing benchmarks are scarce; most figures circulating in the industry are estimates from investor decks, conference talks, or firms like a16z's fintech benchmarks that aggregate self-reported data.
🎬 [VIDEO: "How Neobanks Make Money" — youtube.com — a walkthrough of interchange, interest spread, and subscription revenue models used by digital banks]