Segment → Claude → Braze: Customer Journey Personalization

Configure Segment to collect and unify customer events from your web app, mobile app, and backend services into a single customer profile. Set up computed traits and audiences based on behavioral signals like feature usage, purchase history, and engagement patterns. Ensure identity resolution is properly configured so cross-device behavior maps to a single user.

Route Segment event data into BigQuery where you run SQL-based cohort analysis to identify distinct behavioral clusters. Calculate lifetime value predictions, churn risk scores, and next-best-action probabilities for each customer segment. These quantitative models provide the foundation for the AI to generate targeted personalization strategies.

Feed customer segment data, behavioral cohort models, and lifecycle stage information into Claude to generate personalized messaging strategies for each audience cohort. Include instructions to create subject lines, body copy, and call-to-action variations tailored to each customer lifecycle stage and predicted intent. Claude also recommends optimal channel mix and send timing for each segment.

Import the AI-generated messaging into Braze campaigns with Canvas flows that orchestrate email, push notification, and in-app messaging. Configure trigger conditions based on real-time Segment events and set up A/B tests to continuously optimize conversion rates. Use Braze's Intelligent Timing feature alongside the AI recommendations for send-time optimization.

Connect Braze campaign metrics and Segment engagement data into Looker dashboards that track the full customer journey from first touch to conversion. Monitor how each personalization cohort performs against control groups and identify which AI-generated messaging variants drive the highest engagement. Feed performance insights back into the next cycle of Claude prompt refinement.

Automate weekly Slack reports to the growth and marketing team summarizing campaign performance, top-performing message variants, and segments showing the biggest engagement lifts. Include actionable recommendations for the upcoming week based on the latest data. This keeps the entire team aligned on what is working and what needs adjustment.