Integrate the Marketing Master IO API with the Go API

Setup the Marketing Master IO API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Marketing Master IO and Go remarkably fast. Free for developers.

Popular Marketing Master IO and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

Try it

Overview of Marketing Master IO#

The Marketing Master IO API enables the automation of digital marketing tasks, including email campaign management, audience segmentation, and performance analytics. With its integration on Pipedream, you can craft workflows that streamline your marketing efforts, trigger actions based on customer data, and analyze campaign results in real-time. The API's capabilities, when coupled with Pipedream's serverless platform, allow for the creation of dynamic, responsive marketing strategies without extensive manual oversight.

Connect Marketing Master IO#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    marketing_master_io: {
      type: "app",
      app: "marketing_master_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.marketingmaster.io/v1/contacts/list`,
      headers: {
        Authorization: `Bearer ${this.marketing_master_io.$auth.api_token}`,
      },
    })
  },
})

Overview of Go#

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go#

package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}