Overview

Intent identifies topics a buyer is interested in before a purchase is made. With Data Axle, it’s possible to subscribe to buyers entering or leaving the market and determine how to maximize reception.

For example:

Topics

Topics are organized into a 3-tier hierarchy: a main category, a sub-category, and a specific topic. location_intents.topic_ids include all 3. This makes it possible to find intents using any level in the topic hierarchy

Example hierarchy: Finance > Banking > Checking Account

• A main category search for Finance returns Places interested in the sub-categories and topics associated with Finance.

• A sub-category search for Banking returns Places interested in the topics associated with Banking.

• A topic search for Checking Account returns Places interested in Checking Accounts.

Scores

Each topic has a score ranging from 60 to 100. Higher scores indicate that a buyer is more likely to make purchases.

Filter the database using a relation to retrieve scores greater than, less than, or equal to a specific value.

For example:

Places vs Perspectives

Data Axle offers two methods for filtering intent data: Places search and Perspective search.

• Places search returns all places interested in the topic or score provided.
• Perspective search returns all topics associated with the score or topic provided.

A perspective indicates which part of the record is considered the top level. For example, specifying a Location Intents perspective on a place delivery produces a file of topics instead of places.

For example:

See also:

• location_intents.topic_ids - The subjects the buyer is interested in.
• location_intents.score - An estimation of how likely the potential buyer is to make a purchase.
• location_intents_count - The total number of Location Intents associated with the place.