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CRO Kalkulatorer

1. Definer mål og hypoteser

Hva ønsker du å teste?: Bestem hva du prøver å forbedre, som konverteringsrate, brukervennlighet, klikkrate, etc.

Lag hypoteser: Hva forventer du at endringen vil gjøre med resultatene? For eksempel, «Jeg tror en ny call-to-action (CTA) vil øke klikkraten med 15%.»

2. Design testene (Variasjoner)

Lag minst to versjoner for å sammenligne (A og B), men kan også være flere.

Husk å kontrollere variabler: Bytt kun én ting av gangen (f.eks. CTA-farge, overskrift, layout), slik at du kan knytte eventuelle endringer til testvarianten.

3. Implementer og kjør testen

Del trafikken din tilfeldig mellom varianten A og B (eller flere varianter).

Sørg for at du har nok data for at testen skal være statistisk signifikant, det vil si at du har et tilstrekkelig stort testutvalg.

4. Analyser resultatene og trekk konklusjoner

Sammenlign resultatene: Se hvilken variant som gir de beste resultatene i henhold til de målte KPI-ene (konvertering, engasjement, etc.).

CRO Kalkulator

CRO Kalkulator

Pre-Test Calculators

Sample Size Calculator

Calculate how many visitors you need for a statistically valid test. Enter your current conversion rate (e.g., 2% for an ecommerce site), the minimum improvement you want to detect (e.g., 20% for a relative change), and your desired confidence level (typically 95%). The calculator will tell you how many visitors you need per variation to achieve reliable results.

Test Duration Calculator

Estimate how long your A/B test should run based on your traffic levels. Input your average daily visitors, current conversion rate, and minimum detectable effect. For example, if you get 1000 visitors per day, have a 3% conversion rate, and want to detect a 15% improvement, the calculator will show how many days you need to run the test.

During-Test Calculator

Statistical Significance Calculator

Check if your test results are statistically significant. Enter the number of visitors and conversions for both your control and variation groups. For example, if your control had 1000 visitors with 50 conversions, and your variation had 1000 visitors with 70 conversions, the calculator will show your confidence level and the percentage improvement. Look for at least 95% confidence before concluding your test.

Control Group

Variation Group

Post-Test Calculator

Revenue Impact Calculator

Calculate the potential revenue impact of your successful test. Enter your monthly visitors, average order value (e.g., $50), and the conversion rate improvement from your test (e.g., 15%). The calculator will estimate how much additional monthly revenue you could generate by implementing the winning variation.

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