OnSumoTools

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.

Stop guessing which campaigns work

Marketing runs on numbers that look precise and aren't. A test shows a 12 percent lift after three days. Is that real? A channel reports a $38 cost per lead. Is that good? The answer depends on what a lead is worth to you.

The eight tools here help you answer those questions with arithmetic. They run in your browser, and your data stays on your device.

Testing: sample size and significance

Run an A/B test without enough visitors and you'll declare winners that aren't. The sample size calculator tells you how many visitors each variation needs before you start. You set a baseline conversion rate, the smallest lift you care about, significance and power. It also estimates how many days the test will take.

The significance calculator works on finished results. Enter visitors and conversions for both versions and it runs a two-proportion z-test and returns a p-value. A low p-value suggests the difference isn't just noise.

Don't peek and stop early. Checking daily and ending the test when it looks good inflates false positives. Decide the sample size up front and wait.

Ads: break-even CPC and cost per lead

The Google Ads CPC break-even calculator finds the most you can pay per click without losing money. It works from margin and conversion rate, for either e-commerce or lead generation, and can add a ROAS cap. Bid above that number and every click costs you.

The LinkedIn Ads CPL calculator suits B2B. It starts from deal value and close rate to find the cost per lead you can afford, then walks the funnel from budget to leads. Green and red indicators show headroom. LinkedIn leads cost more than most channels, but one closed deal can pay for hundreds of them.

Both tools make the same point. You can only judge an ad price once you know what a customer is worth.

Email, links and conversion

The email ROI calculator follows your list through to revenue: list size, open rate, click rate, conversion and order value. It compares your return with the often-quoted 36 to 1 benchmark. Treat that benchmark as a ceiling. Many lists earn far less.

The UTM link builder creates tagged URLs with source, medium and campaign values, previews the result and maps it to GA4 channels. It can build up to twenty links at once. Pick naming rules and stick to them. "Facebook", "facebook" and "fb" show up as three separate sources.

The conversion rate lift calculator compares four scenarios and shows what each one adds in monthly and yearly revenue and profit. A one point lift on a busy store is worth real money.

Creator revenue

The YouTube AdSense estimator uses RPM bands by niche, adds Premium uplift, memberships and Super Chat, and projects 0, 10 and 20 percent monthly view growth. It's a planning aid. Real payouts swing from month to month.

Common errors to avoid

Testing too many changes at once. If you change the headline, image and button together, you won't know which one moved the number.

Ignoring seasonality. A test run during a holiday week tells you about the holiday.

Tracking clicks instead of customers. A cheap click that never buys is expensive.

Letting UTM tags drift. Messy tags make reports useless, and you can't fix history later.

A simple order of operations

First work out what a customer is worth. Then set your maximum cost per lead and per click. Build tagged links. Run tests with a sample size you've calculated, not guessed. Review results with the significance tool.