Search engine ambiguity is a tough challenge to solve. When you target users you want to make sure you understand their intent. One user may type “one night stand” looking for a social interaction while another user expects to find results from IKEA. Social networks are introducing more features that enable you to filter down exactly the type of person who will be interested in your product. Facebook, Google, and others have improved retargeting methods that allow businesses to link up with the right people after trial and error.
Key Takeaways:
- Search query ambiguity can be confusing as a search for “one night stand” may bring up radically different results.
- LinkedIn has endorsements that allow people to recommend people they know for having certain skills. This helps filter demographics significantly.
- Facebook has all kinds of filters for selecting your target audience while also allowing you to input email addresses to get even further.
“But, with the exception of the limited use cases of Google’s RLSA (retargeting lists for search ads), the ability to fuse demographic or behavioral intent with query data does not exist on search engines.”
