What data should I be sending to MadKudu

  • Updated on Mar 11, 2025
  • Published on Oct 22, 2024
  • 1 minute(s) read

Depending on your use case, there are different datapoints that are important to be sent to MadKudu.

Outbound

  • CRM data (Leads, Contacts, Accounts, Opportunities)

    • Data should identify companies and persons with attributes and events tied to them.

  • Website engagement - important pages are:

    • pricing page views

    • contact / demo page views

    • careers page views

    • legal page views

  • 3rd party intent - examples:

    • G2 intent

    • Bombora intent

  • All behavioral data should include timestamps for recency/frequency metrics.

Account Based Marketing

  • CRM data (Leads, Contacts, Accounts, Opportunities)

    • Data should identify companies and persons with attributes and events tied to them.

  • Website engagement

    • pricing page views

    • contact / demo page views

    • careers page views

    • legal page views

  • 3rd party intent

    • G2 intent

    • Bombora intent

  • All behavioral data should include timestamps for recency/frequency metrics.

Inbound

  • CRM data (Leads, Contacts, Accounts, Opportunities)

    • Data should identify companies and persons with attributes and events tied to them.

  • Website engagement

    • pricing page views

    • contact / demo page views

    • careers page views

    • legal page views

  • Marketing Engagement (Webinars, Content Downloads, etc.)

  • All behavioral data should include timestamps for recency/frequency metrics.

PLS

  • CRM data (Leads, Contacts, Accounts, Opportunities)

    • Data should identify companies and persons with attributes and events tied to them.

  • product engagement data - important events are:

    • signup event

    • inviting user users

    • collaboration events (e.g. shared project, commented, etc.)

    • engagement with advanced features

  • All behavioral data should include timestamps for recency/frequency metrics.

Expansion

  • CRM data (Leads, Contacts, Accounts, Opportunities)

    • Data should identify companies and persons with attributes and events tied to them.

  • product engagement data - important events are:

    • inviting user users

    • collaboration events (e.g. shared project, commented, etc.)

    • engagement with advanced features

    • user hitting plan limits

  • All behavioral data should include timestamps for recency/frequency metrics.