SaaS vs E-commerce Benchmarks
Why You Can't Compare CAC Across Verticals
A founder running a $40 average-order e-commerce store and a founder running a $200/month SaaS product can both look at a CAC of $150 and draw completely opposite conclusions — and both would be right, because "good" CAC doesn't exist without a business model attached to it.
This is the mistake that shows up constantly in revenue planning: pulling a benchmark from a generic "SaaS metrics" listicle and applying it to a business that doesn't share SaaS economics at all, or the reverse. The number isn't wrong. The category it came from is.
Here's what actually differs, and why it changes what a "healthy" plan looks like.
The core difference: how value shows up over time
SaaS revenue is a subscription — value accrues monthly, for as long as the customer stays. E-commerce revenue is (mostly) transactional — value accrues per order, and the business has to earn the next purchase from scratch, or build in repeat-purchase mechanics to approximate a subscription.
That single structural difference is why almost every downstream metric behaves differently:
Metric | B2B SaaS (median) | E-commerce (median) |
|---|---|---|
Visit → signup/purchase | ~3.5% | varies widely by category and AOV |
Signup → paid conversion | ~6% | ~35% (checkout conversion) |
Monthly churn | ~3.5% | ~8% |
LTV driver | Retention × price × time | Repeat purchase rate × AOV × margin |
Healthy LTV:CAC | 3–4×+ | Category-dependent, often lower tolerance |
Typical CAC (paid social) | ~$400 | Usually a fraction of SaaS CAC, but AOV is also a fraction |
Why signup-to-paid conversion looks so different
A 6% signup-to-paid rate would be alarming for most e-commerce checkout funnels — a 94% cart abandonment-equivalent would sink most stores. But 6% is normal for SaaS, because "signup" in SaaS usually means a free trial or freemium account, not an intent-to-buy action. Most SaaS signups are curious, not committed. Most e-commerce "add to cart" actions are much closer to a purchase decision already made.
If you run a SaaS product and benchmark your trial conversion against an e-commerce checkout rate, you'll conclude your funnel is badly broken when it's actually in line with the category. If you run e-commerce and benchmark against SaaS's 6%, you'll miss a genuinely broken checkout flow because the bar you're using is far too low.
Why churn means something different in each model
SaaS churn is measured against a subscriber base that, by definition, was already committed enough to pay recurring fees. A 3.5% monthly churn rate compounds — at that rate, roughly a third of your customer base turns over in a year, which is exactly why LTV:CAC math is so sensitive to small churn changes in SaaS.
E-commerce doesn't have "churn" in the same sense — it has repeat purchase rate, which is structurally lower because there's no default renewal mechanism pulling customers back. An 8% "monthly churn" figure in e-commerce contexts usually reflects a much shorter natural relationship, which is why e-commerce LTV models lean harder on AOV and purchase frequency than on retention curves borrowed from SaaS.
Applying a SaaS retention framework to an e-commerce business (or vice versa) doesn't just produce a wrong number — it points you at the wrong lever. A SaaS founder chasing repeat-purchase mechanics is solving the wrong problem; an e-commerce founder trying to build a subscription-style retention curve without a subscription product is fighting their own business model.
Why CAC benchmarks need an AOV or ACV attached
"$400 CAC" is meaningless without knowing what it's buying. For a SaaS product with $3,000+ average customer value, $400 CAC implies a healthy 7×+ ratio. For an e-commerce store with a $40 AOV, the exact same $400 CAC would require nearly a year of repeat purchases just to break even on acquisition — assuming the customer comes back at all.
This is the single most common error in cross-vertical benchmark comparisons: treating CAC as a standalone "good/bad" number instead of a ratio against customer value. A CAC benchmark without an LTV or AOV attached to it isn't actionable — it's just a number that sounds impressive or alarming depending on which direction you're reading it.
What this means for your plan
If you're benchmarking your own revenue plan, the fix isn't complicated — it's just easy to skip under deadline pressure:
- Match your benchmark source to your business model. A "SaaS metrics" report and an "e-commerce metrics" report are not interchangeable, even when they're both well-researched.
- Never read CAC in isolation. Always pair it with LTV, AOV, or ACV before deciding whether it's healthy.
- Check churn/retention against your model's structure, not a generic "healthy churn" number pulled from a different category.
- If you're a hybrid model (subscription e-commerce, usage-based SaaS, marketplace), don't force-fit either pure benchmark set — blend them deliberately, and say explicitly where you're deviating and why.
The takeaway
There's no universal "good" CAC, churn, or conversion rate — only numbers that are healthy or unhealthy for a specific business model. The fastest way to misdiagnose a working plan (or miss a broken one) is borrowing benchmarks from a category your business doesn't actually belong to.
