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Go Source Library

How it works

Our Go library helps you record source events from your server-side code. This lets your Go-based app send requests to our servers, and we route your data to your cloud-mode destinations.

Like our other libraries, you can log anonymous activity with an anonymousId. When you identify a person, you can pass the anonymousId and we’ll associate the anonymous activity with the identified person.

This library uses a configurable buffer to batch messages, optimized to reduce network activity.

Getting Started

1. Go to the tab and click Sources.

2. Click Add Source and pick Go.

3. Give the source a Name and click Complete Setup. The name is simply a friendly name to help you find and recognize your source in Customer.io.

4. Install analytics-go using go get:

   go get github.com/customerio/cdp-analytics-go
   

5. Import the library and initialize an instance with your source’s API Key. You’ll find your key in your source’s Settings tab. You can initialize the library with configuration settings—like using our EU data center or development settings to help you test your implementation.

    package main
   
    import (
      "github.com/customerio/cdp-analytics-go"
    )
   
    func main() {
      client := analytics.NewWithConfig("YOUR_API_KEY", analytics.Config{
        // Set config options here
        // If you're in our EU data center, set Endpoint:
        // Endpoint: "https://cdp-eu.customer.io",
      })
   
      // Flush queued messages and close the client.
      defer client.Close()
    }
   

   This creates a client that you can use to send data to Data Pipelines. The client uses our default, production settings but you can tune these settings to fit your need. While you develop your integration, you may want to use development settings so it’s easier to test and debug your work!

Now you’re ready to send requests to Customer.io. Check out our API reference, or read further to see example requests and understand the types of requests you can make using our Go library.

If you’re in our EU data center

You’ll need to update your config to use our EU endpoint. Note that this accounts for the location of your data in Customer.io; it doesn’t account for the locations of your sources and destinations.

func main() {
  client, err := analytics.NewWithConfig("YOUR_API_KEY", analytics.Config{
    Endpoint: "https://cdp-eu.customer.io",
  })
  // use the SDK here

  // Flush queued messages and close the client.
  defer client.Close()
}

Identify

The identify method tells Data Pipelines who the current website visitor is, and lets you assign unique traitsA key-value pair that you associate with a person or an object—like a person’s name, the date they were created in your workspace, or a company’s billing date etc. Use attributes to target people and personalize messages. Attributes are analogous to traits in Data Pipelines. to a person.

You should call identify when a user creates an account, logs in, etc. You can also call it again whenever a person’s traits change. We’ve shown a typical call with a traits object, but we’ve listed all the fields available in an identify call below.

You can send an identify call with an anonymousId and/or userId.

• anonymousId only: This assign traits to a person before you know who they are.
• userId only: Identifies a user and sets traits.
• both userId and anonymousId: Associates the data sent in previous anonymous page, track, and identify calls with the person you identify by userId.

client.Enqueue(analytics.Identify{
  UserId: "019mr8mf4r",
  Traits: analytics.NewTraits().
    SetName("Cool Person").
    SetEmail("cool.person@example.com").
    Set("plan", "Enterprise").
    Set("fav_number", 42),
})

Track

The track method tells us about actions people take—the events people perform—on your site. Every track call represents an event.

You should track your audience’s activities with events both as performance indicators and so you can respond to your audience’s activities with campaignsA series of actions that you perform for each person who matches criteria. Campaigns typically send people a series of messages, but you can also use campaigns to send webhooks, update attributes, etc. in Journeys. For example, if your audience performs a Video Viewed or Item Purchased event, you might respond with other videos or products the person might enjoy.

You can send events with an anonymousId or a userId. Calls that you make with an anonymousId are associated with a userId when you identify someone by their userId.

Track calls require an event name describing what a person did. And they generally include a series of properties, providing additional information about the event. Beyond that, we’ve provided a complete schema for writable event fields below, and you can find more information in our API documentation.

client.Enqueue(analytics.Track{
  UserId: "f4ca124298",
  Event:  "added_to_cart",
  Properties: analytics.NewProperties().
    Set("product", "shoes"),
    Set("price", 39.95),
})

client.Enqueue(analytics.Track{
  anonymousId: "48d213bb-95c3-4f8d-af97-86b2b404dcfe",
  Event:  "added_to_cart",
  Properties: analytics.NewProperties().
    Set("product", "shoes"),
    Set("price", 39.95),
})

Page

The Page method records page views on your website, along with optional extra information about the page a person visited.

If you’re using Customer.io’s client-side set up in combination with the Go library, page calls are already tracked for you by default on any page that loads the client-side script.

But, if you have a single page app or you don’t use our JavaScript client library on your website, you’ll need to send your own page calls.

client.Enqueue(analytics.Page{
  UserId: "f4ca124298",
  Name:   "Customer.io CDP",
  Category: "Docs",
  Properties: analytics.NewProperties().
    SetURL("https://customer.io/docs/cdp/"),
})

Group

The Group method associates an identified person with a group—like a company, organization, project, online class or any other collective noun you come up with for the same concept. In Customer.io Journeys, we call groups objectsNot to be confused with a JSON object, an object in Customer.io is a non-person entity that you can associate with one or more people—like a company, account, or online course. You can use objects to message people based on changes to their company, account, or course itinerary..

Group calls are useful for destinations where you maintain relationships between people and larger organizations, like in Customer.io! In Customer.io Journeys, you can store groups as objectsNot to be confused with a JSON object, an object in Customer.io is a non-person entity that you can associate with one or more people—like a company, account, or online course. You can use objects to message people based on changes to their company, account, or course itinerary., and trigger campaigns based on a person’s relationship to an object—like an account, online class, and so on.

Find more details about group, including the group payload, in our API spec.

client.Enqueue(analytics.Group{
  UserId:  "019mr8mf4r",
  GroupId: "56",
  Traits: map[string]interface{}{
    "name":        "Initech",
    "description": "Accounting Software",
  },
})

Alias

The Alias method combines two previously unassociated user identities. Some destinations automatically reconcile profiles with different identifiers based on whether you send anonymousId, userId, or another trait that the destination expects to be unique. But for destinations that don’t, you may need to send alias requests to do this.

In general, you won’t need to use the alias call; we try to handle user identification gracefully, so that you don’t need to merge profiles. But you may need to send alias calls to manage user identities in some destinations.

For example, in Mixpanel it’s used to associate an anonymous user with an identified user once they sign up.

Here’s how you might use the alias call. In this case, we start with an anonymous_user and switch to an email address when a person provides their userId.

// the anonymous user does actions ...
client.Enqueue(analytics.Track{
  Event:  "Anonymous Event",
  UserId: anonymousUser,
})

// the anonymous user signs up and is aliased
client.Enqueue(analytics.Alias{
  PreviousId: anonymousUser,
  UserId:     "019mr8mf4r",
})

// the identified user is identified
client.Enqueue(analytics.Identify{
  UserId: "019mr8mf4r",
  Traits: map[string]interface{}{
    "name":    "Michael Bolton",
    "email":   "mbolton@example.com",
    "plan":    "Enterprise",
    "friends": 42,
  },
})

// the identified user does actions ...
client.Enqueue(analytics.Track{
  Event:      "Item Viewed",
  UserId:     "019mr8mf4r",
  Properties: map[string]interface{}{
    "item": "lamp",
  },
})

Development settings

While implementing Data Pipelines, you might want to make our library flush after every outgoing call. This can help you test your implementation and make sure that all of your calls work properly before you use this library in your production environment.

Set the BatchSize field in your configuration to 1 to make the library flush every after each request, so that you can make sure your calls are working properly.

func main() {
  client, _ := analytics.NewWithConfig("YOUR_API_KEY", analytics.Config{
		BatchSize: 1,
	})
}

Logging

The Verbose field of your configuration controls the level of logging, while the Logger field provides a hook to capture the log output:

func main() {
  client, _ := analytics.NewWithConfig("YOUR_API_KEY", analytics.Config{
		Verbose: true,
		Logger:  analytics.StdLogger(log.New(os.Stderr, "customerio ", log.LstdFlags)),
	})
}

Selecting Destinations

You can pass an integrations object to alias, group, identify, page and track calls that lets you turn certain destinations on or off. By default all destinations are enabled. Passing false for an integration disables the call to that destination.

You might want to do this for things like alias calls, which aren’t supported by all destinations.

In this case, Customer.io specifies the track to only go to Mixpanel. All: false disables all destinations except the ones you explicitly specify.

client.Enqueue(analytics.Track{
  Event:  "Membership Upgraded",
  UserId: "019mr8mf4r",
  Integrations: map[string]interface{}{
    "All":      false,
    "Mixpanel": true,
  },
})

Destination flags are case sensitive and match the destination’s name in the docs.

Backfilling historical data

You can backfill data by adding a timestamp to your calls. This can be helpful if you’ve just switched to Customer.io.

You can only do this for destinations that accept timestamped data—most analytics tools like Mixpanel and Amplitude do. The notable destination that doesn’t support timestampped data is Google Analytics.

Context

Context fields provide “context” for the events that you send—things like your app’s version. Our library sets some defined context fields by default, but you can override these fields or set custom context fields in a couple of different ways:

• Globally, for all calls
• At the event/call level

You can set custom context fields—fields outside the ones we’ve defined. You must set custom context in the Extra field. We’ll automatically inline these properties in the serialized context structure.

client, _ := analytics.NewWithConfig("h97jamjwbh", analytics.Config{
  DefaultContext: &analytics.Context{
    App: analytics.AppInfo{
      Name:    "myapp",
      Version: "myappversion",
    },
  },
})

client.Enqueue(analytics.Identify{
    UserId: "019mr8mf4r",
    Traits: analytics.NewTraits().
        Set("friends", 42),
    Context: &analytics.Context{
        Extra: map[string]interface{}{
            "active": true,
        },
    },
})

If you added both the global and event-level context changes above, then the identify call under Event-level context above would be serialized to:

{
  "type": "identify",
  "userId": "019mr8mf4r",
  "traits": {
    "friends": 42,
  },
  "context": {
    "active": true,
    "library": {
      "name": "analytics-go",
      "version": "3.0.0"
    }
  }
}

Batching

Our libraries are built to support high performance environments. It’s safe to use this library on a web server that serves hundreds of requests per second.

But every method you invoke does not result in an HTTP request. Instead, we queue requests in memory and then flush them in batches, which allows for more efficient operation.

If batch messages do not arrive in your debugger and don’t throw errors, you may want to slow your script down. We run a message batching loop in a go-routine so if the script runs too quickly it won’t execute network calls before it exits the loop.

By default, our Go source library flushes:

• every 20 messages (control with FlushAt)
• if 5 seconds has passed since the last flush (control with FlushAfter)

There is a maximum of 500KB per batch request and 32KB per call. If you don’t want to batch messages, you can turn batching off by setting the flushAt option to 1.