keen-tracking

keen-tracking.js

Installation

Install this package from NPM Recommended

npm install keen-tracking --save

Or load it from public CDN

<script crossorigin src="https://cdn.jsdelivr.net/npm/keen-tracking@3"></script>

Read about more installation options here

Project ID & API Keys

Login to Keen IO to create a project and grab the Project ID and Write Key from your project's Access page.

Getting started

The following examples demonstrate how to implement rock-solid web analytics, capturing pageviews, clicks, and form submissions with robust data models.

Not interested in web analytics? Use these examples as a primer for getting up and running quickly. These examples also make use of several helpers and utilities that were designed to address common requirements and help produce insightful, valuable data models.

Full documentation is available here

Need help? Ask for it on our Slack community channel or send us a message.

Using React? Check out these setup guides:

• React Flux Logger: How to instrument a Flux ReduceStore
• React Redux Middleware: How to instrument a Redux Store

Looking for compute capabilities? Check out keen-analysis.js.

Upgrading from an earlier version of keen-js? Read this.

---

Automated Event Tracking (Browser-only)

Automatically record pageviews, clicks, and form_submissions events with robust data models:

<script crossorigin src="https://cdn.jsdelivr.net/npm/keen-tracking@3"></script>
<script>
Keen.ready(function(){
  const client = new Keen({
    projectId: 'YOUR_PROJECT_ID',
    writeKey: 'YOUR_WRITE_KEY'
  });
  client.initAutoTracking();
});
</script>

Learn how to configure and customize this functionality here

---

Record Events using JavaScript bundlers like Webpack, RollUp, Parcel

import KeenTracking from 'keen-tracking';

const client = new KeenTracking({
  projectId: 'PROJECT_ID',
  writeKey: 'WRITE_KEY'
});

client
  .recordEvent('purchases', {
    item: 'Avocado',
    number_of_items: 10,
    user: {
      name: 'John Smith'
    }
  })
  .then((response) => {
    // handle successful responses
  }).catch(error => {
    // handle errors
  });

---

Pageview Tracking (Front-end)

First, let's create a new client instance with your Project ID and Write Key, and use the .extendEvents() method to define a solid baseline data model that will be applied to every single event that is recorded. Consistent data models and property names make life much easier later on, when analyzing and managing several event streams. This setup also includes our data enrichment add-ons, which will populate additional information when an event is received on our end.

import KeenTracking from 'keen-tracking';

const client = new KeenTracking({
  projectId: 'PROJECT_ID',
  writeKey: 'WRITE_KEY'
});
const helpers = KeenTracking.helpers;
const utils = KeenTracking.utils;

const sessionCookie = utils.cookie('rename-this-example-cookie');
if (!sessionCookie.get('guest_id')) {
  sessionCookie.set('guest_id', helpers.getUniqueId());
}

client.extendEvents(() => {
  return {
    geo: {
      ip_address: '${keen.ip}',
      info: {
        /* Enriched data from API will be saved here */
        /* https://keen.io/docs/api/?javascript#ip-to-geo-parser */
      }
    },
    page: {
      title: document.title,
      url: document.location.href,
      info: { /* Enriched */ }
    },
    referrer: {
      url: document.referrer,
      info: { /* Enriched */ }
    },
    tech: {
      browser: helpers.getBrowserProfile(),
      user_agent: '${keen.user_agent}',
      info: { /* Enriched */ }
    },
    time: helpers.getDatetimeIndex(),
    visitor: {
      guest_id: sessionCookie.get('guest_id')
      /* Include additional visitor info here */
    },
    keen: {
      addons: [
        {
          name: 'keen:ip_to_geo',
          input: {
            ip: 'geo.ip_address'
          },
          output : 'geo.info'
        },
        {
          name: 'keen:ua_parser',
          input: {
            ua_string: 'tech.user_agent'
          },
          output: 'tech.info'
        },
        {
          name: 'keen:url_parser',
          input: {
            url: 'page.url'
          },
          output: 'page.info'
        },
        {
          name: 'keen:referrer_parser',
          input: {
            referrer_url: 'referrer.url',
            page_url: 'page.url'
          },
          output: 'referrer.info'
        }
      ]
    }
  }
});

client
  .recordEvent('pageviews', {
    // more custom data
  })
  .then((response) => {
    // handle responses
  }).catch(error => {
    // handle errors
  });

Every event that is recorded will inherit this baseline data model. Additional properties defined in client.recordEvent() will be applied before the event is finally recorded.

Want to get up and running faster? This can also be achieved in the browser with automated event tracking.

What else can this SDK do?

• Automated tracking (browser-only)
• Record multiple events in batches
• Extend event data models for a single event stream
• Queue events to be recorded at a given time interval

App Frameworks:

• React Flux Logger: How to instrument a Flux ReduceStore
• React Redux Middleware: How to instrument a Redux Store
• Vue.js Vuex Store: How to instrument a Vue Vuex Store

Video Players:

• Facebook video player
• HTML5 video player
• Video.js player
• Vimeo video player
• Youtube iFrame video player

Full documentation is available here

---

Click and Form Submit Tracking (Front-end)

Clicks and form submissions can be captured with .listenTo(). This function intercepts events for designated elements and creates a brief 500ms delay, allowing an HTTP request to execute before the page begins to unload.

This example further extends the client instance defined previously, and activates a simple timer when the page the loaded. Once a click or submit event is captured, the timer's value will be recorded as visitor.time_on_page.

import KeenTracking from 'keen-tracking';

const client = new KeenTracking({
  projectId: 'PROJECT_ID',
  writeKey: 'WRITE_KEY'
});
const helpers = KeenTracking.helpers;
const timer = KeenTracking.utils.timer();
timer.start();

KeenTracking.listenTo({
  'click .nav a': (e) => {
    return client.recordEvent('click', {
      action: {
        intent: 'navigate',
        target_path: helpers.getDomNodePath(e.target)
      },
      visitor: {
        time_on_page: timer.value()
      }
    });
  },
  'submit form#signup': (e) => {
    return client.recordEvent('form-submit', {
      action: {
        intent: 'signup',
        target_path: helpers.getDomNodePath(e.target)
      },
      visitor: {
        email_address: document.getElementById('signup-email').value,
        time_on_page: timer.value()
      }
    });
  }
});

Want to get up and running faster? This can also be achieved in the browser with automated event tracking.

---

Block Bots and Improve Device Recognition (Browser/Front-end)

Install mobile-detect.js to identify basic device types and block noisy bots and crawlers.

npm install mobile-detect --save

This example further extends the client instance defined above, inserting a new tech.device_type property with three possible values: 'desktop', 'mobile', and 'tablet'. If the user agent is determined to be a bot, it may be ideal to abort and avoid recording an event.

import MobileDetect from 'mobile-detect';

const md = new MobileDetect(window.navigator.userAgent);
if (md.is('bot')) {
  return false;
}

// extends client instance defined previously
client.extendEvents(() => {
  return {
    tech: {
      device_type: md.tablet() ? 'tablet' : md.mobile() ? 'mobile' : 'desktop'
    }
  };
});

Check out the many additional methods supported by mobile-detect.js to further enrich your data model.

This can also be used with automated event tracking.

---

Server Side Tracking (Back-end)

const KeenTracking = require('keen-tracking');

const client = new KeenTracking({
  projectId: 'PROJECT_ID',
  writeKey: 'WRITE_KEY'
});

client
  .recordEvent('purchases', {
    item: 'Avocado',
    number_of_items: 10
  }, (error, response) => {
    if (error) {
      // handle errors
      return;
    }
    // handle responses
  });

---

Handling connection problems

When KeenTracking encounters connection problems, it will retry to send the data.

import KeenTracking from 'keen-tracking';

const client = new KeenTracking({
  projectId: 'PROJECT_ID',
  writeKey: 'WRITE_KEY',

  // customize the default values
  retry: {
    limit: 10, // how many times retry to record an event
    initialDelay: 200, // initial delay between consecutive calls.
    // Each next retry will be delayed by (2^retries_count * 100) milliseconds,
    retryOnResponseStatuses: [ // array of invalid http response statuses
      408,
      500,
      502,
      503,
      504
    ]
  }
});

---

### Contributing

This is an open source project and we love involvement from the community! Hit us up with pull requests and issues.

[Learn more about contributing to this project](./CONTRIBUTING.md).

---

### Support

Need a hand with something? Shoot us an email at [[e-mail]](mailto:[e-mail]). We're always happy to help, or just hear what you're building! Here are a few other resources worth checking out:

* [API status](http://status.keen.io/)
* [API reference](https://keen.io/docs/api)
* [How-to guides](https://keen.io/guides)
* [Data modeling guide](https://keen.io/guides/data-modeling-guide/)
* [Slack (public)](http://slack.keen.io/)