ab-react-hook

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🧪A/B-Testing React Hook

ab-react-hook 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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<div align="center">
  <h1>
    <br/>
    <br/>
    A/B
    <br/>
    Experiment Hooks
    <br />
    <br />
  </h1>
  <sup>
    <br />
    <br />
    <a href="https://www.npmjs.com/package/ab-react-hook">
      <img src="https://img.shields.io/npm/v/ab-react-hook.svg" alt="npm package" />
    </a>
    <a href="https://circleci.com/gh/imjul1an/ab-react-hook">
      <img src="https://img.shields.io/circleci/build/github/imjul1an/ab-react-hook/master" alt="CircleCI master" />
    </a>
    <a href="https://app.codecov.io/gh/imjul1an/ab-react-hook">
      <img src="https://img.shields.io/codecov/c/github/imjul1an/ab-react-hook" />
    </a>
    <a href="https://codesandbox.io/embed/ab-react-hook-playground-4crjn">
      <img src="https://img.shields.io/badge/demo-%20%20%20%F0%9F%9A%80-green.svg" />
    </a>
    <br />
  </sup>
  <br />
  <br />
</div>
<br />
<br />

## Install

Using npm:

```sh
npm i ab-react-hook
```

or using yarn:

```sh
yarn add ab-react-hook
```

## When should I use A/B tests?

It's a very good question to ask before start doing A/B tests. The simple answer would be - when the **sample size is statistically significant** and you have a **good traffic**. To dig deeper into numbers use [powercalculator](https://bookingcom.github.io/powercalculator/) made by [booking](https://bookingcom.github.io) to understand **how long would** it take you to run an A/B test and get a statistically significant result.

## ```useExperiment()``` [![][img-demo]](https://codesandbox.io/embed/ab-react-hook-playground-4crjn)

- Define experiment variants and weights:
```
variants: [{
  name: "control", weight: 50 
}, {
  name: "test", weight: 50
}]
```
You can define *as many variants as you want* but it is recommended to keep **two** or max **three** variants for your experiment.
- Get the variant and send it to your analytics (_google analytics_, _facebook analytics_ etc.), so you can **aggregate results in a single place and analyze it later**.

```js
const AddToCartButtonExperiment = () => {
  const experimentConfig = {
    id: "3143106091",
    name: "add-to-cart-green",
    variants: [{ name: "control", weight: 50 }, { name: "test", weight: 50 }]
    enableForceExperiment: true
  };
 
  const variant = useExperiment(experimentConfig)

if (variant.name === "control") {
     return <button class="black">Add to cart</button>;
  } else if (variant.name === "test") {
     return <button class="green">Add to cart</button>;
  }
}
```

## ```useExperimentAsync()```

```js
const fetchVariant = () => {
  return new Promise((resolve, reject) => {
    setTimeout(() => {
      resolve("test");
    }, 2000);
  });
}

function AsyncAddToCartButtonExperiment() {
  const { variant, isLoading } = useExperimentAsync({
    name: "exp1",
    fetchVariant,
    enableForceExperiment: true
  });

if (isLoading) {
    return <div>loading...</div>;
  }

if (variant.name === "control") {
     return <button class="black">Add to cart</button>;
  } else if (variant.name === "test") {
     return <button class="green">Add to cart</button>;
  }
}

```

### Force experiment variant

If `enableForceExperiment` flag set to `true` you can seamlessly **test** all possible variants of the particular experiment without changing the code.

To **force** experiment variant add query parameter with **experiment id** and the **variant name**.

- Force single experiment variant:
```
/?et=exp_id:exp_variant
```

- Force multiple experiments:
```
/?et=exp_1:exp_variant_id,exp_2:exp_variant_id
```

[img-demo]: https://img.shields.io/badge/demo-%20%20%20%F0%9F%9A%80-green.svg

ab-react-hook

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