A/B Test Sample Size Calculator

The A/B Test Sample Size Calculator is a go-to tool whenever you need to two-proportion power analysis for experiments with a target lift, confidence, and power.. It focuses on ab testing, sample size, power analysis, minimum detectable effect, which means searchers often arrive with intent-heavy queries like “how to a/b test sample size calculator quickly” or “a/b test sample size calculator formula explained.” Use this calculator to capture those intents and keep learners on the page long enough to send positive engagement signals.

Under the hood, the calculator leans on p₁ is the baseline conversion rate, p₂ = p₁ + minimum detectable effect, p̄ = (p₁ + p₂)/2, z_{α/2} is tied to confidence, and z_{β} represents statistical power.—that’s why we surface the full expression (“n = [Z_{α/2}√(2p̄(1 − p̄)) + Z_{β}√(p₁(1 − p₁) + p₂(1 − p₂))]² / (p₂ − p₁)²”) directly above the interactive widget. When you embed that formula inside H2s or supporting paragraphs, you help both humans and crawlers understand what entity the page represents.

Execution matters as much as the math. Follow the built-in procedure: Step 1: Enter your current conversion rate (control) and the absolute lift you want to be able to detect. Step 2: Choose a confidence level (alpha) and statistical power (1 − beta). Step 3: Optional: provide daily visitors to estimate how long the test will need to gather that many samples.. Each numbered instruction is short enough to scan on mobile but descriptive enough to satisfy Google’s Helpful Content guidelines. Encourage students to jot down units, double-check signs, and compare answers with the Example card to build confidence.

The Example section itself is packed with semantic clues: “Baseline = 3.5%, Lift = 0.5 pts, Confidence = 95%, Power = 80%” leading to “≈22,663 visitors per variant (≈45,326 total) to detect the lift reliably..” Pepper similar narratives throughout your copy (and internal links from related guides) so canonical search intents are answered without pogo-sticking back to Google.