Omniconvert
We help data-driven marketers around the world to understand, segment, convert & retain customers.
Integrate the Omniconvert API with the Go API
Setup the Omniconvert API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Omniconvert and Go remarkably fast. Free for developers.
Popular Omniconvert and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Omniconvert#
Omniconvert is a versatile API that enables businesses to optimize, personalize, and survey their e-commerce platforms. With it, you can automate A/B testing, personalize customer experiences based on a variety of metrics, and generate insights from customer feedback through surveys. Pipedream, as a serverless integration and automation platform, takes this a step further by allowing you to create complex workflows that trigger actions in other apps based on events in Omniconvert.
Connect Omniconvert#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
omniconvert: {
type: "app",
app: "omniconvert",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.omniconvert.com/v1/websites`,
headers: {
"X-Api-User": `${this.omniconvert.$auth.api_user}`,
"X-Api-Key": `${this.omniconvert.$auth.api_key}`,
},
})
},
})
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)
}