/plushcap/analysis/algolia/algolia-ai-ai-and-intent-data-how-do-they-contribute-to-full-blown-intent-intelligence

Intent intelligence: a blend of AI and intent data | Algolia

What's this blog post about?

Intent intelligence is high-quality knowledge derived from data gathered from user activities on websites or apps, such as ecommerce platforms. It involves continuous learning and improvement using artificial intelligence (AI) and intent data to understand buyer purchase intent and analyze buyer needs. AI tools excel in gathering consumer and B2B fingerprints, continually improving their understanding based on factors like competitive pricing and seasonal changes. Machine learning is a subfield of AI that enables computers to learn without explicit programming, enhancing their ability to make sense of words through natural language processing (NLP) technology. Continuous machine learning involves the ongoing collection and refinement of previously learned knowledge, improving prediction models over time. Intent data revolves around specific topics, products, or services, providing a more comprehensive view than traditional profiling or behavioral data. It can be used to identify potential prospects, pinpoint when they're ready to buy, and create targeted ad copy. Companies are increasingly using AI and intent data together to create highly accurate intent intelligence for improved customer experiences and increased revenue.

Company
Algolia

Date published
July 23, 2024

Author(s)
Adam Smith

Word count
1987

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.