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Marketing & ads calculators

The growth-and-CRO toolkit: size your experiments, find the break-even point on paid traffic, and project the revenue impact of conversion lifts. Everything runs in your browser.

These tools cover the statistical and financial decisions behind growth experiments and paid advertising. The A/B test sample size calculator outputs the sample size needed per variant and the expected runtime at your current traffic level to reach statistical significance at a given minimum detectable effect size. The A/B test significance calculator runs a two-proportion z-test on live results and shows p-values, absolute MDE, and lift so you can determine when a running experiment is ready to call.

The YouTube AdSense revenue estimator models RPM ranges by niche with Premium uplift, memberships, and Super Chat contributions factored in. The UTM link builder generates properly formatted tracking URLs with GA4 source, medium, and campaign fields validated against Google's parameter spec, with a live preview of the final URL. The email ROI calculator projects revenue from a campaign based on list size, open rate, click rate, and conversion rate. All tools run client-side with no data logged.

Why these tools live together

Most marketing decisions are quietly statistical. Should you keep running this A/B test or call it? Will a 5% lift in conversion pay back the ad spend it took to test? Is your email program actually making money once you net out platform fees? The category page collects calculators that answer those questions with sliders and instant feedback instead of a generic blog post.

Start with sample-size sizing before you launch a test, the most common cause of bad CRO calls is under-powered tests being read as winners after a few good days. From there, the ROAS and revenue-lift tools help you decide whether a winning variant actually moves the number that matters.

This category will grow as we ship the rest of the marketing backlog, statistical significance, conversion-lift projection, email ROI, and the Google/LinkedIn ads break-even tools.