Skip to main content
Every conversation turn is classified into one of nine intent buckets. The bucket determines which demand tiers are eligible, which format renders, and what outcome is measured.
BucketSignalExample
PurchaseActive buying intent”I want to buy a standing desk”
TransactionalReady to complete a transaction”Where can I order this tonight”
ConsiderationEvaluating options”Should I get the hybrid or the foam one”
ComparisonDirectly comparing products or services”Explorer vs Highlander for a family of five”
ResearchGathering information before a decision”What matters in a mattress for back pain”
InformationalGeneral knowledge seeking”How do memory foam mattresses work”
NavigationalLooking for a specific brand or destination”Tempur-Pedic official site”
SupportHelp with an existing product”My robot vacuum won’t dock”
EntertainmentNon-commercial conversationCasual chat, games, creative writing

​
What publishers see

Reporting breaks down impressions, engagement, and revenue by intent bucket, so you can see where your surface’s commercial moments are. High Purchase and Transactional share correlates directly with RPM.

​
What is not documented here

Classification model internals are proprietary. Publishers do not need to pass an intent value; classification runs on the conversational context your integration already provides.