Subscription Analytics and Revenue Reporting
Adds custom attributes to customers that have the specified email address. See the docs here
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Adds custom attributes to a given customer. See the docs here
Adds tags to customers that have the specified email address. See the docs here
Adds tags to a given customer. See the docs here
ChartMogul is an analytics platform designed to help subscription businesses analyze their revenue, churn, and other key performance indicators (KPIs). By leveraging the ChartMogul API, you can import, manipulate, and retrieve customer subscription data to gain insights into the financial health of your business. When used with Pipedream, you can automate complex workflows, combine subscription data with external tools, and react in real-time to changes in your subscription metrics.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chartmogul: {
type: "app",
app: "chartmogul",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.chartmogul.com/v1/ping`,
auth: {
username: `${this.chartmogul.$auth.account_token}`,
password: `${this.chartmogul.$auth.secret_key}`,
},
})
},
})
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.
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)
}