When analyzing your Inside Track data, one valuable strategy is to identify parent and child companies within your dataset. This article provides a step-by-step guide on how to do this effectively.
Understanding the relationships between companies can provide valuable insights for your business. If a company is part of a larger group, this information can be leveraged in various ways, particularly in segmentation and marketing strategies. Recognizing these connections allows you to tailor your approach to these businesses, considering the broader context of their group affiliation.
The process of identifying parent and child companies in your dataset involves two main steps: filtering and searching for duplicates.
The first step is to filter your data on the ‘PSC Name’ field. This field is included in all Inside Track data downloads and represents the parent company associated with each record. By filtering on this field, you can easily view all companies that are part of a larger group.
Once you’ve filtered your data, the next step is to search for duplicates in the ‘PSC Name’ column. This will allow you to identify all groups that have more than one child company in your dataset. These could represent potential opportunities for targeted marketing or other strategic initiatives.
By following these steps, you can gain a deeper understanding of the relationships within your Inside Track data and use this knowledge to inform your business strategies.
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