Read the original blog post here.
Here is a brief summary of the article:
- Identifying high-value customers requires an intelligent approach using look-alike modeling (LAM)
- LAM helps identify potential new audiences through micro-segmented targeting.
- AI-led audience discovery holds great potential for improved conversion rates and higher customer lifetime value.
- Personalization is key to creating genuinely individualized customer journeys.
- Combining data insights with intelligent decision-making ensures a seamless customer experience.
- Advanced insights and propensity scoring using a sophisticated CDP with LAM capabilities can help make intelligent decisions when targeting customers.
- The NGDATA Intelligent Engagement Platform uses LAM and clustering algorithms for a more precise audience exploration process.
