SAP Hybris

Problem: Ecommerce teams test multiple checkout flows in Convert, but can’t easily retarget visitors in SAP Hybris based on which flow they saw, limiting their ability to recover abandoned carts with tailored messaging. Solution: Convert sends experiment and variation exposure events via Segment and Blendr.io into SAP Hybris. Marketers build Hybris segments for visitors exposed to specific checkout variants and trigger cart recovery campaigns aligned to that experience. Outcome: Cart recovery emails, ads, and on-site prompts match the tested flow each shopper saw, increasing relevance and completion rates. Teams systematically scale the best-performing checkout experiences across campaigns and audiences.

Problem: Merchandisers identify winning product detail page layouts in Convert, but rollout is slow and disconnected from SAP Hybris campaigns, so traffic from email and ads often lands on suboptimal experiences. Solution: Convert experiment exposure data is streamed into SAP Hybris, tagging users who saw each PDP variant. Marketers create Hybris personalization rules and campaigns that prioritize traffic toward the winning layouts and content blocks. Outcome: Campaign traffic is consistently routed to proven PDP variants, lifting add-to-cart and revenue per visitor. Hybris becomes the central place to operationalize experimentation wins across channels and segments.

Problem: Marketing teams can’t see how SAP Hybris campaigns perform for users exposed to different Convert experiments, making it hard to understand whether test variants help or hurt downstream campaign KPIs. Solution: Convert’s experiment and variation names are passed as track events into SAP Hybris via Segment and Blendr.io. Analysts build Hybris reports that slice campaign performance by test participation and variant exposure. Outcome: Teams uncover which variants drive better email, ad, and on-site campaign results and adjust both experiments and campaigns accordingly. Budget is shifted toward combinations of experiences that demonstrably improve ROI.

Problem: Retailers test different discount banners and offers with Convert but can’t persist those insights in SAP Hybris, leading to generic promotions that ignore how individual visitors responded to past offers. Solution: Convert logs each visitor’s exposure to discount-related experiments into SAP Hybris. Marketers create Hybris segments for users who converted on high, medium, or no-discount variants and tailor future offers and messaging accordingly. Outcome: Promotion strategies become data-driven and visitor-specific, reducing over-discounting while protecting conversion rates. Profitability improves as Hybris campaigns align with each segment’s demonstrated price sensitivity.

Problem: UX teams run navigation and search bar experiments in Convert, but their findings stay siloed, so SAP Hybris search and category experiences don’t fully benefit from proven interaction patterns. Solution: Exposure to navigation and search experiments is streamed into SAP Hybris as structured events. Hybris segments and personalization rules then adapt menus, filters, and search layouts based on which variants performed best for each audience. Outcome: Visitors see navigation and search experiences that reflect winning variants for their segment, improving product discovery and session depth. Hybris becomes a dynamic commerce layer informed by continuous experimentation.

Problem: Enterprise teams struggle to reconcile A/B test results from Convert with SAP Hybris revenue and lifecycle metrics, forcing manual exports and spreadsheets that slow decision-making. Solution: The integration pipes Convert experiment exposure into SAP Hybris through Segment and Blendr.io, creating a consistent schema for tests inside Hybris analytics. Teams can join experiment data with orders, CLV, and channel metrics natively. Outcome: Stakeholders view experimentation impact directly in Hybris dashboards, from first visit through repeat purchase. Decisions on roadmap, merchandising, and campaigns are based on unified, trusted data instead of fragmented reports.