What's a 1.5% Lift Worth?
Drop in your monthly visitors, current and target conversion rate, and AOV. See the revenue impact of every percentage point you reclaim.
Inputs (Monthly)
What this calculator does
Conversion rate optimization (CRO) is the practice of moving more existing visitors through to a goal action (signup, paid trial, purchase). This tool models the revenue impact of a target conversion rate lift against your current baseline: additional conversions, additional revenue per month, annualized impact, and the lift required to break even on a CRO investment. It's a sizing tool, not an A/B testing tool.
Why this is the easy money in growth
Adding paid traffic to a 1% conversion site is expensive: doubling conversions doubles CAC. Lifting the rate from 1% to 1.5% on the same traffic costs the same and yields the same outcome. Per Nielsen Norman Group, the median B2B SaaS site has a free-trial signup conversion rate of 2-4% and a free-to-paid conversion rate of 5-15%, with top-quartile companies hitting 7%+ and 25%+ respectively. The gap between median and top-quartile is the leverage.
Where the typical lifts come from
Four CRO patterns produce most of the wins in B2B SaaS. Hero clarity: replace generic value props with specific outcome claims (5-30% conversion lift). Form-friction reduction: remove fields, allow SSO, defer non-essential data collection (15-50% lift on signup completion). Social proof concentration: visible customer logos, named testimonials with role and company, named-author case studies (5-15% lift). Pricing-page transparency: published tiers with concrete examples instead of "Contact sales" (10-40% lift on free-trial start). The conversion checklist on this site lists 16 specific patterns to audit.
The mistake that breaks CRO programs
Most CRO programs fail because they run tests without enough traffic to be statistically meaningful. A 1.5% baseline conversion rate and a 10% relative MDE needs roughly 20,000 visitors per arm for 80% power at 95% confidence. Most early-stage sites have 2-3K visitors per arm and run the test for 6 weeks, then call it inconclusive. Always size the experiment before running it: the A/B test calculator computes the required sample size and p-value.
When to use this calculator
Use this before scoping any CRO project to know if the prize is worth the work. A 0.5% absolute lift on a site with 5,000 visitors/month at a $500 AOV is $30K of new annual revenue, which may not justify a $40K consulting engagement. The same lift at 50K visitors/month and $5K AOV is $3M annually, which obviously does. Pair with the funnel analyzer to identify the biggest single drop-off, and the pricing optimizer to model the revenue impact of price changes alongside conversion changes.
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