Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/dogchef-be/nuxt-goptimize

📊 NuxtJS module for A/B testing with Google Optimize
https://github.com/dogchef-be/nuxt-goptimize

google google-optimize nuxt nuxt-module nuxtjs nuxtjs-ts nuxtjs-typescript typescript-support

Last synced: about 19 hours ago
JSON representation

📊 NuxtJS module for A/B testing with Google Optimize

Awesome Lists containing this project

README

        


nuxt-goptimize



NuxtJS module for A/B testing with Google Optimize





**_Note: Google Optimize is used for reporting (only)._**

## Table of contents

- [Main features](#main-features)
- [Dependencies](#dependencies)
- [Setup](#setup)
- [Options](#options)
- [Usage](#usage)
- [Credits](#credits)
- [License](#license)

## Main features

- Run multiple experiments simultaneously
- TypeScript support
- Cookies to persist variants across users
- Event handlers `ga` or `dataLayer`
- Force a specific variant via url or param. E.g. `url?gopt_experiment-x=1` or `this.$abtest('experiment-x', true, 1);`
- Avoid activating the a/b test anywhere. E.g. `this.$abtest('experiment-x', false);`
- Disable all a/b tests by cookie (`gopt_disabled=1`), which can be useful for E2E tests in CI/CD pipelines

## Dependencies

You can choose one of the following options which injects Google Analytics into your application:

- [analytics.js](https://developers.google.com/analytics/devguides/collection/analyticsjs)
- [@nuxtjs/google-analytics](https://github.com/nuxt-community/gooogle-analytics-module)
- 3rd-party such as [Segment](https://segment.com)

## Setup

### Google Optimize

1. Create a new experiment:

```
Name: Experiment X
Type of experience: A/B test
```

2. Add variants names:

```
Original: this.$abtest('my_experiment') = 0
Variant A: this.$abtest('my_experiment') = 1
Variant B: this.$abtest('my_experiment') = 2
```

3. Define a page targeting:

`WHEN` `URL equals` `SERVER_SIDE`

4. Define experiment's objectives.

### Nuxt.js Module

1. Add `nuxt-goptimize` dependency to your project:

```bash
npm install nuxt-goptimize
```

2. Add `nuxt-goptimize` module and configuration to `nuxt.config.js`:

```js
export default {
// ...other config options
modules: ["nuxt-goptimize"];
googleOptimize: {
experiments: '~/experiments.js', // optional
}
}
```

3. Create the `experiments.js` in project's root with an array of your experiments. An example:

```js
/**
* {
* name: string; A name to identify the experiment on this.$abtest('NAME_HERE')
* id: string; Experiment ID of Google Optimize
* maxAgeDays: number; Number of days to persist the cookie of user's active variant
* variants: number[]; An array of variants weights
* }
*/
module.exports = [
{
name: "experiment-x",
id: "IUhKJR2MSTiPMVGAwJDFBL",
maxAgeDays: 15,
variants: [50, 50],
},
];
```

4. (Optional) TypeScript support. Add `nuxt-goptimize` to the `types` section of `tsconfig.json`:

```json
{
"compilerOptions": {
"types": ["nuxt-goptimize"]
}
}
```

## Options

### `experiments`

- Type: `String`
- Default: `~/experiments.js`

File path for your experiments definition.

### `eventHandler`

- Type: `String`
- Default: `ga`
- Values: `ga`, `dataLayer`

Event handler to let Google know about variants in-use.

## Usage

It can be used inside components like:

```js
{
data: () => ({
payBtnLabel: null as string | null,
isScenarioA: true,
}),
mounted() {
// Scenario: Determine an experiment variant and then display a label depending on it.
const expA = this.$abtest('experiment-a');
if (expA === 0) {
this.payBtnLabel = 'Place order';
} else {
this.payBtnLabel = 'Pay now!';
}

// Scenario: We want to force a specific variant programmatically.
const expB = this.$abtest('experiment-b', true, 1);
console.log('expB is always 1');

// Scenario: We have steps and we want to avoid activating the a/b test in any step
// (meaning.. avoid assigning a variant and reporting it).
const expC = this.$abtest('experiment-c', false)
console.log('expC is always 0');
}
}
```

## Credits

- [Brandon Mills](https://github.com/btmills) for `weightedRandom()`

## License

See the LICENSE file for license rights and limitations (MIT).