Predictive analytics
Sophisticated machine learning algorithms help uncover trends in customer data to model future behaviors and outcomes. Marketers can use these predictions to optimize spending, personalize messaging, and qualify leads. AI analytics provide a competitive edge by shining a light on emerging opportunities and risks.
For instance, by analyzing past campaign and sales data, IBM Watson's predictive AI can accurately forecast lead conversion rates or project future revenue under various budget scenarios. This intelligence allows marketers to experiment with more confidence.
Customer segmentation
AI segmenting techniques empower marketers to divide audiences into distinct groups based on common attributes like demographics, interests, and past engagement. Tailored messaging can then be delivered to the right segments at the right time to boost response.
Peak AI leverages advanced clustering algorithms to classify contacts based on their likelihood to engage with different campaigns types or content formats. Then, the AI automatically matches messaging to each micro-segment for targeted outreach.
There's a growing list of companies that now offer AI-powered marketing solutions. Below, we cover some of the leading options, segmented by functionality.
Generative AI for audio content creation: ElevenLabs