We kicked off the engagement by auditing the client’s Shopify store, Klaviyo flows, and product catalog. Their campaigns were generic, despite a wealth of behavioral data available. Our team implemented Dynamics 365 Customer Insights as the central customer data hub, unifying transaction history, browsing behavior, and email interactions.

From there, we built predictive segments based on:

• Product category affinity
• Repeat purchase patterns
• Time since last purchase
• Cart abandonment frequency

Klaviyo was configured to receive dynamic segments and personalized product feeds — enabling hyper-targeted journeys such as:

• Price-drop alerts for favorited products
• Back-in-stock notifications tied to size and color
• Seasonal bundles based on past purchase combinations

We used Power Automate to push real-time product feed updates into both email and on-site personalization widgets. Dashboards in Power BI visualized segment-level performance, allowing marketers to A/B test and optimize every journey.

We also created a predictive churn model to prioritize high-risk customers for retention offers.