Nuxt.js
Madkudu

Integrate your Nuxt.js site with Madkudu

Don't go through the pain of direct integration. RudderStack’s Javascript SDK makes it easy to send data from your Nuxt.js site to Madkudu and all of your other cloud tools.

Easy Nuxt.js to Madkudu integration with RudderStack

RudderStack’s open source Javascript SDK allows you to integrate RudderStack with your your Nuxt.js site to track event data and automatically send it to Madkudu. With the RudderStack Javascript SDK, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.

Available via webhook

Send event data to Madkudu by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Madkudu API. Once enabled, RudderStack will forward events to Madkudu (note, this requires leveraging cloud API endpoints for Madkudu ).

Popular ways to use Madkudu and RudderStack

Create leads automatically

Automatically create customer records in real time in Madkudu when someone signs up.

Trigger campaigns

Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.

Easily update user traits

Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.

Frequently Asked Questions

With Rudderstack, integration between Nuxt.js and Madkudu is simple. Set up a Nuxt.js source and start sending data.

Pricing Nuxt.js and Madkudu can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

Timing can vary based on your tech stack and the complexity of your data needs for Nuxt.js and Madkudu.

Use the Madkudu integration with other popular sources

Use the Nuxt.js integration with other popular destinations

About Madkudu

Madkudu is a predictive lead scoring solution that helps B2B market leaders to accelerate growth using their customer data. It applies machine learning algorithms to customer data to score leads based on past activity or attributes.