Dynamic Targeting and HCP Recommendation

As described on AWS Marketplace.

Dynamic Targeting & HCP Recommendation is a human-in-the-loop decision platform built for life sciences commercial teams to improve omnichannel personalization and execution. While many organizations invest heavily in segmentation models, next-best-action engines, and content recommendation frameworks, the final step of turning insights into action often remains fragmented, manual, and difficult to govern. This solution bridges that gap by combining data-driven recommendations with marketer decision-making in a single interface.

The platform enables marketers to visualize macro and microsegments, review recommended HCP targeting and message/content mappings, and override recommendations when business context requires adjustments. It also provides microsegment-level performance visibility, helping teams identify gaps, intervene mid-cycle, and push updated targeting and content recommendations downstream into execution tools (field, CRM, and media systems). The solution is designed with role-based workflows for marketers, analysts, and approvers, and maintains version history for mappings, approvals, and KPI changes to support transparency and compliance.

Highlighted by the publisher on AWS Marketplace.

Human-in-the-loop Dynamic Targeting and HCP Recommendation platform that enables marketers to review, adjust, and activate microsegment-based message mappings across channels.

Provides full transparency and governance through role-based workflows (marketer/analyst/approver), version control, and audit history for all content overrides and approvals.

Built on AWS with scalable container-based architecture (Amazon EKS, S3, DocumentDB, CloudWatch) and integrates with enterprise data sources and orchestration tools for omnichannel execution.