Ometria

The customer marketing platform for retail

Integrate the Ometria API with the Go API

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

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 Ometria

What can I build with the Ometria API?

The Ometria API provides a comprehensive set of tools to help you create robust
and comprehensive customer segmentation and analytics for your eCommerce store.
With access to Ometria’s full suite of products, you can build the following:

  • Real-time customer behaviour tracking and reporting
  • Create better targeted email campaigns
  • Create automated segmentation rules to segment customers into different
    groups
  • Create advanced personalisation ideas for each customer
  • Create requests for audience-specific product recommendations
  • Create marketing automation and loyalty programs
  • Create automated recommendations based on customer behaviour
  • Automatically score customers’ buying habits and preferences
  • Generate powerful insights into business performance
  • Monitor customer feedback, returns and reviews
  • Automatically trigger re-engagement campaigns

Connect Ometria

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ometria: {
      type: "app",
      app: "ometria",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ometria.com/v2/orders`,
      headers: {
        "X-Ometria-Auth": `${this.ometria.$auth.api_key}`,
      },
    })
  },
})

Connect Go

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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)
}