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One of the first things marketers can do with your customer data centralized in Hull is an exercise on defining your ideal customer profile (ICP). Understanding your ICP is the foundation for your product marketing, demand generation, and content development initiatives because it narrows your targeting to a specific subgroup of accounts and personas that have similar attributes and may be going through similar business challenges. From there, you can then programmatically build target “lookalike” account lists based on certain criteria.


How to get started

  1. Once your stack is connected to Hull, you ingest various types of data on your customers. If you are connected to enrichment tools like Clearbit, Datanyze or others via webhooks, you will have demographic and firmographic data on your users. If you are connected to your database via the SQL importer, you will be able to retrieve data the user filled-in from the website or from your app for example. You can also retrieve data you tracked with Hull.js, Segment or others. These are examples of type of data that are stored in one single customer profile inside Hull.
  2. You can export that data inside a google sheet
  3. You can create charts and diagrams on top of that data. You can display chart on your customers depending on the number of employees, their revenue, their job title,...

KPIs to impact :

Conversation rate - Better internal communication - Better resource allocation


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