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The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.

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Fingerprint Pro Segment Source Function

This Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function receives the data through Fingerprint webhooks and normalizes them into Segment Specs. Once your Fingerprint data is inside Segment, you can use it in any of your Segment destinations to detect suspicious activity, prevent fraud or personalize user experiences.

Screenshot of Segment overview showing Fingerprint Pro as a data source

⚠️ Requirements and limitations

Usage Requirements

  • You need to have the Fingerprint Pro JavaScript agent installed on your website and configured to send data to Segment. Installing Segment on your website directly is not required.
  • Mobile platforms are currently not supported. Reach out to our support if you have any questions.

Development Requirements

When deployed, the source function runs inside Segment's custom JavaScript runtime. To build and test the source function locally, you need:

  • Node 18+
  • Typescript 4+
  • Playwright for end-to-end tests

How to set up

1. Import the Fingerprint Segment Source Function

  1. Log in to your Segment account.
  2. Navigate to Connections > Catalog and switch to the Functions tab.
  3. Click New Function.
  4. Select Source, then click Build.
  5. Replace the source code with the latest Fingerprint Segment source function.
  6. Click Configure, and enter a descriptive name, such as Fingerprint Pro Source Function.
  7. Optionally, you can add a description and logo of your choice.
  8. Click Create Function.

You have successfully created a Segment Source Function.

2. Create a Segment Source connected to the Fingerprint Source function

Continuing from the previous step (or if you have closed the browser tab, go to Connections > Catalog > Functions > Fingerprint Pro Source Function)

  1. Click Connect Source.
  2. Add a descriptive name, for example Fingerprint Pro visitor identification events. Optionally, you can put labels of your choice.
  3. Click Continue, then Continue again, a finally Finish.

You have successfully created a Segment Source. The source overview page will show you the webhook URL. Keep it handy, you will need it in the next step.

3. Configure a Fingerprint webhook to send data to Segment

  1. Log in to your Fingerprint account.
  2. Go to App Settings > Webhooks.
  3. Click Add Webhook.
  4. Paste the webhook URL of your Source. (You can always find it in Segment > Connections > Sources > Your Fingerprint Source > Overview )
  5. Optionally, add a description, for example "Segment source". Do not set any authentication.
  6. Click Save.
  7. Click Send Test Event and wait for a confirmation that Segment successfully received the test event data. If you do not see the confirmation, check the webhook URL and try again. Sending the test event can take a minute or two.

You have successfully configured a Fingerprint webhook. For every visitor identification event, Fingerprint will now send the identification result to your Segment Source Function.

4. Configure the Fingerprint Pro JavaScript Agent on your website

The Segment integration is not enabled by default. Your website must have the Fingerprint JS Agent installed and configured explicitly to use the Segment Integration.

  1. If you haven't already, install the Fingerprint JS Agent on your website, for example:
<script>
  // Load the JavaScript agent
  const fpPromise = import('https://fpjscdn.net/v3/your-public-api-key')
    .then(FingerprintJS => FingerprintJS.load({ endpoint: 'https://metrics.your-website.com'}))

  // Analyze the visitor when necessary.
  fpPromise
    .then(fp => fp.get())
    .then(result => console.log(result.visitorId))
</script>
  1. Insert a tag.integrations.segment object into the options of the JS agent's get method to enable your Segment integration. The Segment Source function will ignore identification events received from Fingerprint that do not include the tag.integrations.segment object. For more info about tag see the JS agent API Reference.
  fpPromise.then(fp =>
    fp.get({
      tag: {
        integrations: {
          segment: {
            /* segment fields */
          },
        },
      },
    })
  );
  1. Inside the segment object, define Segment Specs, like below:
const segmentFields = {
  skipIntegration: false,
  identify: {
    // ... identify spec fields
  },
  page: {
    // ... page spec fields
  },
  track: {
    // ... track spec fields
  },
  group: {
    // ... group spec fields
  }
}

You can use identify, page, group, and track for corresponding Specs. You can use any or all specs in a single request, the Identify Spec is sent even when omitted. You can use skipIntegration for skipping the segment integration entirely.

See How to use for more details on each spec.

Receiving and using the data

Now that the JS Agent and Segment Source are connected, the Specs should be flowing to your segment account as visitors come your website and are identified by Fingerprint Pro.

You can debug the data coming in by going to Connections > Sources > Your Fingerprint Source > Debugger. Set up some destinations to use the data, for example, Google Analytics, Castle, Mixpanel, or others that suit your business needs the best.

How to use

The Fingerprint Pro Segment Source function creates Specs based on the the visitor identification result and the metadata you pass to the tag.integration.segment object.

Full Example
fp.get({
  tag: {
    integrations: {
      segment: {
        skipIntegration: false,
        identify: {
          userId: 'your_internal_ID_123456',
          traits: {
            name: 'Jon Doe',
          },
        },
        page: {
          category: 'Account',
          name: 'Update Password',
          properties: {
            path: '/account/password',
            referrer: '/account/home',
          },
          context: {
            trial: true,
          }
        },
        track: {
          event: 'Plan Updated',
          properties: {
            currency: 'USD',
            value: '19.99'
          }
        },
        group: {
          groupId: '0e8c78ea9d97a7b8185e8632',
          traits: {
            name: 'Fingerprint',
            industry: 'Tech',
            employees: 110,
          },
        },
      }
    }
  }
  // ... more fields
})

Identify Spec

The Identify Spec lets you record who the visitor is and the traits you know about them. You can use the segment.identify field to pass your visitor metadata to Segment. This spec is always created based on the visitor identification result, even when you omit the identify field.

const segment = {
  identify: {
    userId: '123456',
    traits: {
      name: 'Jon Doe',
    },
  },
}

This is how fields in the Identify Spec are populated:

Identify Spec field Source field in Fingerprint Pro result or metadata passed to segment.identify
anonymousId result.visitorId - Fingerprint visitorId
traits.visitorId result.visitorId - Fingerprint visitorId
traits.createdAt result.firstSeenAt.subscription - time of first visit
userId identify.userId - your internal user ID
traits identify.traits - any traits you want to record

Page Spec

The Page Spec lets you record whenever a user sees a page of your website, along with any optional properties about the page. It is defined by the page field.

const segment = {
  page: {
    category: 'Account',
    name: 'Update Password',
    properties: {
      path: '/account/password',
      referrer: '/account/home',
    },
    context: {
      trial: true,
    }
  },
}

This is how fields in the Page Spec are populated:

Page Spec field Source field in Fingerprint Pro result or metadata passed to segment
anonymousId result.visitorId - Fingerprint visitorId
userId identify.userId - your internal user ID
context.ip result.ip - IP address
context.browserDetails result.browserDetails - Browser, OS name and version
context.incognito result.incognito - Incognito mode
context.confidenceScore result.confidenceScore - Confidence score
context.requestId result.requestId - ID of Fingerprint request
properties.url result.url - page URL
context page.context - any context you want to record
properties page.properties - any properties you want to record

Track Spec

The Track Spec is how you record the actions your users perform, along with any properties that describe the action. It is defined by the track field.

const segment = {
  track: {
    event: 'Plan Updated',
    properties: {
      currency: 'USD',
      value: '19.99'
    }
  },
}

This is how fields in the Track Spec are populated:

Track Spec field Source field in Fingerprint Pro result or metadata passed to segment.track
event track.event - the event you’re tracking, required
properties track.properties - any properties you want to record
anonymousId result.visitorId - Fingerprint visitorId
userId identify.userId - your internal user ID

⚠️ The event field is required to create a Track Spec.

Group Spec

The Group Spec is how you associate an individual user with a group, for example, a company, organization, account, project, or team. It is defined by the group field.

const segment = {
  group: {
    groupId: '0e8c78ea9d97a7b8185e8632',
    traits: {
      name: 'Fingerprint',
      industry: 'Tech',
      employees: 110,
    },
  },
}

This is how fields in the Group Spec are populated:

Group Spec field Source field in Fingerprint Pro result or metadata passed to segment
groupId group.groupId - the group ID you’re tracking, required
traits group.traits - any grouptraits you want to record
anonymousId result.visitorId - Fingerprint visitorId
userId identify.userId - your internal user ID

⚠️ The groupId field is required to create a Group Spec.

Screen Spec

Screen Spec is currently not supported.

Skipping the integration

Set skipIntegration to true to prevent the source function from creating any Specs. Defaults to false.

Support

To report problems, ask questions or provide feedback, please use Issues. If you need private support, you can email us at [email protected].

License

This project is licensed under the MIT license. See the LICENSE file for more info.