LTV/CAC in SaaS Russia 2026
Median LTV/CAC in B2B SaaS 2.5x. Trend 2024→2026: 3.1x → 2.5x. The “3:1” standard is a native SaaS myth from the USA; for the Russian Federation 2026 it is unattainable for the median player.
what is included in this figure
LTV/CAC ratio = LTV (lifetime value, revenue per client for all time) ÷ CAC (customer acquisition cost, cost attracting a client). The metric answers the question “how much times the client pays off in excess of the cost of attracting him.” More details in my LTV glossaries and CAC glossaries.
What not included in LTV/CAC = 2.5x:
- Net profit. LTV is calculated based on revenue, not by margin. LTV/CAC 2.5x with a margin of 50% gives 1.25x net return - this is already on the verge of payback after all operating expenses.
- Time. The metric ignores the payback period. LTV/CAC 2.5x with payback 6 months and LTV/CAC 2.5x with payback 18 months are two different economies. The second one holds on only if there is a funding cushion. That's why I always I look at LTV/CAC and payback together.
- Cohort. Young cohorts (fresh clients) can give LTV/CAC 1.0x simply because They didn't pay enough yet. Mature cohorts (3+ years) – 4–5x. Averaging them without a cohort breakdown is a recipe for error.
LTV/CAC table by niche
| Niche | Top 25% (higher) | Median LTV/CAC | Weak (lower) |
|---|---|---|---|
B2B SaaS (subscription, MRR) ratio LTV / CAC | 4.5x | 3.0x | 1.5x |
E-com subscriptions/clubs ratio LTV / CAC | 3.0x | 1.8x | 0.9x |
Education (long-cycle courses) ratio LTV / CAC | 3.5x | 2.2x | 1.0x |
Medicine (clinics, follow-up appointments) ratio LTV / CAC | 5.5x | 3.2x | 1.5x |
Local services ratio LTV / CAC | 4.0x | 2.3x | 1.1x |
Fintech (cards, insurance) ratio LTV / CAC | 3.8x | 2.2x | 1.0x |
MedTech has the highest LTV/CAC (3.0x median). Clinics with repeat appointments and a subscription model for telemedicine stay with the client longer. On the reverse side - fintech (2.0x): high CAC due to competition, limited possibility of LTV growth (card or insurance are one product).
B2B SaaS (2.5x) and local (2.5x) - market median. Local achieves low CAC, B2B SaaS achieves long retention. EdTech (2.2x) below average: long deal cycle and graduation churn (the student has completed the course - no longer pays).
payback period by niche
| Niche | Top 25% (below) | Median Payback | Weak (higher) |
|---|---|---|---|
B2B SaaS payback period | 7 months | 13 months | 24 months |
E-com subscriptions payback period | 3 months | 6 months | 12 months |
Education payback period | 2 months | 5 months | 10 months |
Medicine payback period | 4 months | 9 months | 18 months |
Local services payback period | 1 months | 3 months | 7 months |
Fintech payback period | 6 months | 11 months | 22 months |
Local technology pays for itself in 3 months (median), EdTech in 4 months, e-com subscriptions - for 6. B2B SaaS - the longest (12 months), fintech - 10. The longer the transaction cycle, the longer the payback. In SaaS payback 12 months requires capital for financing the gap is built into the model, not “you’re in a bad mood.”
how it changes over time
LTV/CAC in B2B SaaS falls for the second year in a row:
- 2024: 3.1x median. Advertising cost still remained at the level of 2023, CAC at the median SaaS was 40–50 thousand rubles.
- 2025: 2.8x. CAC increased by 20–25% due to increase in traffic prices in Yandex Direct and VK Ads. LTV held (retention in SaaS has grown thanks to onboarding).
- 2026: 2.5x. CAC increased by another 15%, LTV can't keep up with him. Some companies are reconsidering pricing (increasing the check) is still slow.
The trend is −19% over two years. This is not “everything is bad with us”, this is structural increase in client costs. Who will be working in 2026? 2024 standards in terms of offering and retention - will receive LTV/CAC 1.8–2.2x and will be surprised why “it doesn’t fit unit economics."
what does your LTV/CAC mean in context?
LTV/CAC is higher than good (for example, 5x in SaaS). One of two scenarios. First - you have a niche, narrow audience with low CAC (vertical SaaS for a specific industry). Second, you calculate LTV “out of thin air”: you take theoretical lifespan of the client instead of the actual one. Check: which cohort of 2023 actually pays extra in 2026? If it’s less than 40%, your LTV is too high.
LTV/CAC is around the median (2.0–3.0x). You're in the market. This is the level at which unit economics "works", but there is no fat margin for scaling. Next are the levers: reducing CAC through organics and referral programs, LTV growth through upselling and onboarding series. Without them from 2.5x You won't be able to grow to 4x.
LTV/CAC is below bad (less than 1.2x). Business loses money from every new client. Three reasons usually. The first is a wrong-fit audience: advertising leads people not from ICP. Second, the product is quickly sold out (churn 8%+ per month). Third - the check is too low entrance: “trial for 1 ruble” brings in “freeloaders” who they will never pay extra. It is treated not by marketing, but by product and pricing model.
LTV/CAC is considered convenient in my LTV/CAC calculator with what-if slider for retention and average ticket.
why “3:1” is a myth from the USA
“3:1 LTV/CAC is standard” is a quote from David Skok, venture partner Matrix Partners, written about 2012 about American SaaS. Since then she has gone to folklore Problem: the figure was calculated in American market with American cost of capital and American SaaS pricing (high-end, average bill $200–500/month).
For the Russian Federation 2026 this is unrealistic:
- The cost of capital is higher - the Central Bank keeps the rate at 16%+, payback longer than 12 months requires a strict financial model.
- The average bill for a Russian B2B SaaS is 5–10 times lower American analogue.
- CAC in Yandex Direct is growing faster than LTV in Russian clients.
Realistic benchmark for the Russian Federation 2026: LTV/CAC 2.5x is the norm, 3x is good, 4x is excellent. At 5x only the narrow one holds vertical SaaS or product with very high retention.
sources and methodology
- 6 of my projects 2024–2026 - data for B2B SaaS, EdTech, MedTech.
- Correspondence with 12 colleagues - data on e-com subscriptions, local services, fintech.
- Open sources — Mosaic reports Ventures and Sila Venture on Russian SaaS, analysis on vc.ru.
Method: for each niche 3–5 sources, median by LTV/CAC and separately for payback. Anomalies (LTV/CAC higher 10x or below 0.5x) recline.
The numbers do not constitute financial advice. Target LTV/CAC for a specific business depends on the cost capital, growth phases (growth vs profitability) and competition in the niche.
related metrics and tools
- CPL in B2B 2026 — median 5500 ₽. CPL is the entrance to the funnel, LTV/CAC is its outcome.
- ROAS e-com 2026 — median 4.2x. In the subscription model, LTV/CAC is stronger than ROAS.
- Landing page conversion 2026 — median 2.5%. CR affects CAC: more CR means lower CAC.
Calculators: LTV/CAC calculator, unit economics calculator, CPL calculator.
On the blog: unit economy 2026, product-led growth 2026, lead-gen B2B 2026. In the glossary - LTV, CAC, CPL.