What are the latest trends in customer segmentation and how can you use them?

Worthwhile noting the subtle differences between CRMs and CDPs here. They have some overlap in terms of functionality, as they're both data management platforms. But generally, a CRM system is primarily to support sales, while a CDP delivers a more complete view of customer relationships beyond the sales cycle. CRMs are also more limited in scope than CDPs, as they do not necessarily provide the development environment or integration flexibility to support the full customer experience cycle. CRM systems are more focused on managing customer behavior, business transactions and process management. As such CDPs can help you map the customer journey, while CRMs can help you contact customers along at critical points during that journey.

With products and services becoming increasingly commoditized, value-based segmentation is more critical than ever. Companies need to align pricing and messaging to customers' perceived value, not merely product features. Useful tactics include value mapping customer journeys to uncover pain points and opportunities to demonstrate value. Additionally, conjoint analysis can identify which product attributes drive willingness to pay. With these insights, companies can tier pricing and tailor messaging by segment to optimize revenue and profitability. The key is understanding which elements customers truly value and how much they are willing to pay. With value-based segmentation, companies can break out of the commodity trap.

In the realm of marketing, one trend that's gained traction is value-based segmentation. Gone are the days of solely demographic-focused slices; today it's about the customer's perceived value. This approach pinpoints not just who they are, but how they interact & contribute to your brand's growth. By segmenting based on purchasing behavior, loyalty, & lifetime value, we can craft strategies that cater to varying customer tiers. From personalized offers for high-value clients to retention strategies for potential high-growth segments, value-based insights empower more nuanced & effective marketing campaigns. Embracing this trend, we've pivoted from broad strokes to laser-focused strategies, optimizing ROI & deepening customer relationships.

Amidst the wave of digital transformation, AI-driven customer segmentation stands out as a game changer. Leveraging vast data, AI doesn’t just segment; it predicts, learns, and refines. In my recent ventures, using AI helped dissect customer behavior beyond traditional metrics. It highlighted patterns invisible to the naked eye: micro-segments, shifting preferences, even predicting churn before it happened. The real magic? Adaptability. As markets evolved, our AI models recalibrated, ensuring our segmentation remained razor-sharp. By adopting AI-driven segmentation, we've transcended static categorizations, embracing a dynamic approach that keeps pace with ever-changing customer landscapes.