Pricing

Pay per usage

🧪 A/B Test Significance Calculator — Google Optimize Alt

Drop-in Google Optimize replacement. Calculate p-values, confidence intervals, lift, sample sizes, and winners for A/B tests. Two-proportion z-test + Welch's t-test + Bonferroni multi-variant. API-first, no account, $0.007/test.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Stephan Corbeil

Actor stats

Bookmarked

Total users

Monthly active users

7 days ago

Last modified

Categories

Marketing

Automation

You can access the 🧪 A/B Test Significance Calculator — Google Optimize Alt programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "metricType": "conversion",
12    "variants": [
13        {
14            "name": "Control",
15            "visitors": 5000,
16            "conversions": 250
17        },
18        {
19            "name": "Variant A",
20            "visitors": 5000,
21            "conversions": 310
22        }
23    ],
24    "alpha": "0.05",
25    "power": "0.80",
26    "minDetectableEffect": "0.05"
27};
28
29// Run the Actor and wait for it to finish
30const run = await client.actor("nexgendata/ab-test-calculator").call(input);
31
32// Fetch and print Actor results from the run's dataset (if any)
33console.log('Results from dataset');
34console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
35const { items } = await client.dataset(run.defaultDatasetId).listItems();
36items.forEach((item) => {
37    console.dir(item);
38});
39
40// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

🧮 A/B Test Significance Calculator — Google Optimize Alt API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use 🧪 A/B Test Significance Calculator — Google Optimize Alt API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

🧪 A/B Test Significance Calculator — Google Optimize Alt API in Python

🧪 A/B Test Significance Calculator — Google Optimize Alt API through CLI

🧪 A/B Test Significance Calculator — Google Optimize Alt OpenAPI definition

🧪 A/B Test Significance Calculator — Google Optimize Alt API

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1import { ApifyClient } from 'apify-client'; 2 3// Initialize the ApifyClient with your Apify API token 4// Replace the '<YOUR_API_TOKEN>' with your token 5const client = new ApifyClient({ 6 token: '<YOUR_API_TOKEN>', 7}); 8 9// Prepare Actor input 10const input = { 11 "metricType": "conversion", 12 "variants": [ 13 { 14 "name": "Control", 15 "visitors": 5000, 16 "conversions": 250 17 }, 18 { 19 "name": "Variant A", 20 "visitors": 5000, 21 "conversions": 310 22 } 23 ], 24 "alpha": "0.05", 25 "power": "0.80", 26 "minDetectableEffect": "0.05" 27}; 28 29// Run the Actor and wait for it to finish 30const run = await client.actor("nexgendata/ab-test-calculator").call(input); 31 32// Fetch and print Actor results from the run's dataset (if any) 33console.log('Results from dataset'); 34console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); 35const { items } = await client.dataset(run.defaultDatasetId).listItems(); 36items.forEach((item) => { 37 console.dir(item); 38}); 39 40// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

🧪 A/B Test Significance Calculator — Google Optimize Alt

🧮 A/B Test Significance Calculator — Google Optimize Alt API in JavaScript

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