Home | Connectors | Adobe Analytics | Adobe Analytics - OpenText Product Traceability Integration and Automation
Data flow: OpenText Product Traceability - Adobe Analytics
Send product lot, batch, serial, or shipment traceability events from OpenText Product Traceability into Adobe Analytics to measure how product quality and traceability issues affect customer behavior. Business teams can correlate recalls, delays, or compliance events with website traffic, support visits, returns, and conversion trends. This helps marketing, operations, and quality teams quantify the customer impact of traceability events and prioritize corrective actions.
Data flow: OpenText Product Traceability - Adobe Analytics
When a recall, quarantine, or quality exception is recorded in OpenText Product Traceability, push the event into Adobe Analytics to track spikes in customer self-service activity, product page visits, warranty claims, and support content usage. This gives operations and customer service teams a clear view of how quickly customers respond to the issue and whether digital communications are reducing call center volume.
Data flow: Adobe Analytics - OpenText Product Traceability
Use Adobe Analytics to identify which traceability-related pages, FAQs, and support articles customers view before submitting inquiries. Feed those insights into OpenText Product Traceability workflows so product, quality, and support teams can improve traceability documentation, label information, and customer-facing guidance. This reduces repeat contacts and improves the accuracy of product issue resolution.
Data flow: Bi-directional
Connect Adobe Analytics behavioral data with OpenText Product Traceability records to validate whether customers interacting with registration, warranty, or product verification pages are linked to traceable product units. OpenText can provide product lineage and authenticity data, while Adobe Analytics captures digital engagement and drop-off points. This supports fraud detection, improves registration completion rates, and helps customer service verify product legitimacy faster.
Data flow: OpenText Product Traceability - Adobe Analytics
For regulated industries such as food, pharmaceuticals, or consumer goods, send traceability milestones into Adobe Analytics to monitor how customers, distributors, or internal users interact with compliance-related digital content. Teams can measure engagement with product origin pages, certification documents, and traceability portals, then align those interactions with actual product movement and audit events stored in OpenText Product Traceability. This improves compliance visibility and supports audit readiness.
Data flow: Bi-directional
Combine Adobe Analytics portal usage data with OpenText Product Traceability batch and shipment data to understand how distributors and partners engage with product status, shipment history, and exception notifications. OpenText provides the authoritative traceability record, while Adobe Analytics shows which portal features are used most and where users struggle. This helps supply chain and channel teams improve portal adoption, reduce manual follow-up, and speed issue resolution.
Data flow: Bi-directional
Link Adobe Analytics events such as abandoned product searches, repeated support visits, or complaint form submissions with OpenText Product Traceability events such as delayed shipments, lot holds, or quality deviations. This enables operations, quality assurance, and digital teams to identify whether a physical supply chain issue is driving digital friction and customer dissatisfaction. The result is faster root cause analysis and more targeted remediation.
Data flow: OpenText Product Traceability - Adobe Analytics
When OpenText Product Traceability triggers a recall or notification workflow, Adobe Analytics can track how recipients interact with recall landing pages, lookup tools, and instructions for returns or replacements. This allows communications and operations teams to measure message reach, completion rates, and customer response paths. It also helps optimize recall messaging and reduce operational delays during critical events.