👁️ Build your Buyer’s Persona using Datagran, and cluster audiences to attract similar users.

🤑 Automate your renewal process with Datagran and increase the probability of conversion!

😋 Group clients by similar taste

👁️ Build your Buyer’s Persona using Datagran, and cluster audiences to attract similar users.

Task:

A company wants to know the profile that the customer of a certain product/service has , in order to improve their campaign segmentation and attract similar profiles.

How it can be done with Datagran:

With Datagran companies are able to integrate their CRM data sources (i.e. Hubspot) and transactional data sources (i.e. MySQL) and aggregate them to develop cross-analysis, build charts, segment audiences, and automate this process.

How can you actually do this:

• As a starting point, you could use “Charts” to build pie charts. The insights obtained show patterns with the most common traits a client of a certain product has (i.e. gender, age, location, or any custom field).
• Once you have that, you can select which combination of traits you want to segment (i.e. single women around 40 years of age that are located in Ohio and have an average monthly income of $5,000).
• Then, you could use pipelines to automate this segment and send the output list to Facebook so you can create lookalike audiences and attract similar profiles. Set the frequency of your pipeline, and automatically update your audiences.

Recommendations:

Know the traits that characterize your Buyer’s Persona, and validate you have data of those traits

Understand the structure of your data: sources, tables, fields, formats. This will be very helpful for building the queries.

Ask for support to Datagran if you find trouble while building your charts and pipelines. We’re always happy to help!

Results: