Creator Marketing Benchmarks for SaaS: CAC, Signup Conversion & ROAS (2026)

Every founder asks the same question before their first creator campaign: “what’s a good number?” It’s the right instinct and the wrong benchmark. There is no universal “good” cost per signup, because a $19/month tool and a $50,000 ACV platform live in different universes. The number that matters is always relative — how creator marketing compares to your other channels, on the same unit.

That said, “benchmark against yourself” is cold comfort when you’re setting a budget for something you’ve never run. So below are the directional ranges we actually see for technology and B2B products — what to expect for cost per signup, signup conversion, and ROAS — plus, more importantly, how to read them without fooling yourself. Treat every figure here as a starting expectation to be replaced by your own data, not a target carved in stone.

First, measure the right things

Benchmarks are only meaningful against the right metrics. Creator marketing dies fastest when it’s judged on likes and views — vanity metrics that tell you content shipped and nothing about the business. The numbers worth benchmarking live one level down:

• Cost per signup = creator fee ÷ signups (trials, sign-ups, or qualified leads).
• Signup→paid conversion = the share of those signups that become paying customers.
• Cost per customer (CAC) = fee ÷ customers = cost per signup ÷ signup→paid.
• ROAS = revenue from those customers ÷ fee.

If you can’t attribute signups to a specific creator, none of the ranges below are usable — so the prerequisite is a tracked link or code per creator. Everything that follows assumes you have that.

Directional benchmarks by metric

These are ranges we see across tech and B2B creator campaigns. They are directional and illustrative — real results vary widely by product, price point, and audience fit.

Metric	Typical range (tech/B2B)	Notes
Cost per signup	~$20–$120	Lower for low-ACV/self-serve; higher for enterprise-y products where a “signup” is a demo request
Signup → paid	~2–8%	Mirrors your existing trial-to-paid rate; creator traffic is often higher-intent than paid
Cost per customer	~$400–$3,000+	Wide by design — driven by ACV and signup→paid, not by the creator
ROAS	~2–4×	Counted over a quarter, including compounding and view-through; last-click alone understates it
Engagement rate (as a fit signal)	nano ~5% → macro ~1%	A diagnostic, not a business metric — see finding the right creators

The single biggest reason a campaign lands at the good or bad end of these ranges is audience fit, not creator size. A 12K-follower creator whose audience is 80% your buyer will beat a 200K generalist on cost per customer almost every time, because nearly every viewer is a potential user. That’s why “cost per customer” is wide and “creator tier” barely predicts it.

How the funnel actually stacks up

To make the ranges concrete, here’s a mid-case campaign the way our ROI estimator models it — a $20,000 budget with a well-matched micro-creator mix:

Stage	Figure	Implied rate
Reach	~1,100,000	—
Qualified visits	~6,700	~0.6% of reach click through
Signups	~400	~6% of visits convert
Customers	~48	~12% signup→paid
Revenue (at $1,200 ACV)	~$57,600	—
Cost per signup / customer	~$50 / ~$417	—
ROAS	~2.9×	—

Change one input — audience fit — and the whole column moves. Halve the fit and cost per customer roughly doubles; double it and the campaign clears 4–5× ROAS. This is the real lesson of any benchmark table: the levers inside your control (fit, tracking, follow-up) matter more than the market averages.

How to read benchmarks without fooling yourself

1. Compare on cost per customer, not cost per signup. A channel with cheap signups and terrible signup→paid is expensive where it counts. Line creator marketing up against paid search on CAC.
2. Give it a quarter. Creator content compounds — a strong YouTube review keeps producing signups for months — so week-one last-click numbers understate the return. Judge over a quarter.
3. Expect attribution leakage. Dark social and delayed, view-through signups mean tracked links are a floor, not a ceiling. A “how did you hear about us?” field catches what the link misses.
4. Segment by fit, not tier. Averaging a perfectly-matched micro creator with a broad macro one produces a benchmark that describes neither. Track per creator and reinvest in the matches that convert.
5. Beware survivorship in public numbers. The benchmarks people publish skew toward campaigns worth bragging about. Your own blended CAC is the only honest yardstick.

Where these numbers come from — and their limits

The ranges here come from patterns across tech and B2B creator campaigns and from the assumptions baked into our public rate and ROI estimators, not from a single published dataset. They’re meant to set expectations and sanity-check results — not to promise an outcome. As you run campaigns, your own cost per signup and per customer become far more accurate than any benchmark, and those are the numbers to manage on. For the full method behind them, see how to measure creator marketing and what to pay creators in 2026.

Where ActiVibe fits

Getting from “industry benchmark” to your numbers means running enough well-matched creators, with tracking on every placement, to learn what a good cost per customer looks like for your specific product. That measurement discipline — attributing signups per creator and feeding the results back into who you renew — is core to how ActiVibe runs a campaign. See the whole motion in the GTM playbook, or get a free GTM strategy and benchmark yourself against a costed roster built for your product.