Meet the experts

Mahrie Boyle
VP, Integrated Marketing

Woo

Gina Potenza
Partner Program & Strategy Manager – Platform Lead

Klaviyo

Sabena Suri
Director of Marketing – category & Brand

Chris Sheard
Ecommerce Director – Partner Sites

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Key takeaways

Data quality is now a competitive advantage: Brands can no longer rely on fragmented or outdated customer information. Clean, unified, and privacy‑safe data enables better targeting, stronger personalization, and more effective use of AI across the entire customer lifecycle.

AI is reshaping how brands understand and engage customers: Predictive models, automated segmentation, and intelligent recommendations are transforming marketing workflows. But the brands that win are those that pair automation with human oversight to ensure empathy, accuracy, and trust.

Customer trust is built through transparency and respect: People expect brands to use their data responsibly and communicate clearly. Foster long‑term loyalty by honoring preferences, limiting unnecessary outreach, and being upfront about how data is used.

Personalization must feel helpful, not intrusive: Over‑messaging or irrelevant content leads to fatigue and opt‑outs. Tailoring frequency, timing, and messaging to individual behaviors creates experiences that feel thoughtful rather than overwhelming.

Connected experiences drive higher engagement and conversion: Customers move fluidly across channels, and they expect brands to keep up. Harmonizing data, messaging, and journeys across channels reduces friction and creates a seamless path to purchase.

Continuous learning separates thriving brands from stagnant ones: The most successful teams test, measure, and iterate constantly. They use real‑time insights to refine journeys, improve creativity, and adapt to shifting customer expectations — ensuring every interaction feels relevant and valued.

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