OpenText Internet of Things Platform - Adobe Analytics Integration and Automation

Common Integration Use Cases Between OpenText Internet of Things Platform and Adobe Analytics

OpenText Internet of Things Platform is well suited for ingesting and operationalizing device and sensor data from connected assets, while Adobe Analytics is designed to measure digital behavior, customer journeys, and campaign performance. Together, they can connect physical operations with digital experience data, helping teams correlate asset performance, customer activity, and service outcomes.

1. Correlate connected product usage with digital customer behavior

Data flow: OpenText Internet of Things Platform to Adobe Analytics

Transmit device usage events such as power cycles, feature activation, error codes, and maintenance alerts into Adobe Analytics as custom events. This allows product, marketing, and customer success teams to analyze how customers interact with connected products alongside website and app behavior.

Business value: Identifies which product features drive engagement, which usage patterns precede churn, and where customers need onboarding or support. Teams can segment users based on real-world product usage and tailor digital campaigns accordingly.

2. Trigger digital support journeys from equipment health signals

Data flow: OpenText Internet of Things Platform to Adobe Analytics

Send critical sensor thresholds, fault conditions, or predictive maintenance alerts into Adobe Analytics to trigger audience segments or event-based workflows. For example, when a connected machine reports abnormal vibration or temperature, Adobe Analytics can help activate targeted service content, support notifications, or guided troubleshooting journeys.

Business value: Reduces downtime, improves first-contact resolution, and enables proactive customer support based on actual asset condition rather than waiting for a service call.

3. Measure the impact of field service interventions on customer experience

Data flow: Bi-directional

OpenText Internet of Things Platform can provide asset condition and repair completion data, while Adobe Analytics contributes digital engagement data such as support portal visits, knowledge base usage, and service request activity. Combining both gives a full view of the customer experience before and after a field service event.

Business value: Helps operations and service leaders determine whether maintenance actions reduce repeat incidents, improve customer satisfaction, and lower digital support volume.

4. Optimize connected asset onboarding and activation journeys

Data flow: Adobe Analytics to OpenText Internet of Things Platform, and OpenText Internet of Things Platform to Adobe Analytics

Use Adobe Analytics to track onboarding steps in web or mobile applications for connected products, then link those actions to device registration, provisioning, and first telemetry from OpenText Internet of Things Platform. This makes it possible to measure where customers drop off during setup and whether devices are successfully activated after digital onboarding.

Business value: Improves product adoption, reduces failed activations, and gives operations and digital teams a shared view of onboarding performance.

5. Build customer segments based on actual asset performance

Data flow: OpenText Internet of Things Platform to Adobe Analytics

Feed operational data such as runtime hours, utilization rates, service history, and anomaly frequency into Adobe Analytics to create segments for targeted digital campaigns. For example, customers with underused equipment can receive training content, while high-utilization accounts can receive upgrade offers or preventive service recommendations.

Business value: Enables more precise marketing and account management by using real operational behavior instead of only demographic or web activity data.

6. Link digital campaign activity to connected product outcomes

Data flow: Adobe Analytics to OpenText Internet of Things Platform

Pass campaign identifiers, content engagement data, or promotion responses from Adobe Analytics into OpenText Internet of Things Platform so that device telemetry can be analyzed in the context of specific campaigns. This is useful when a promotion, software update, or usage incentive is expected to change how a connected asset performs or is used.

Business value: Helps teams measure whether digital campaigns actually influence device adoption, feature usage, or operational behavior, not just clicks and conversions.

7. Improve logistics and service visibility for connected fleets

Data flow: OpenText Internet of Things Platform to Adobe Analytics

Send vehicle, container, or equipment telemetry such as location, temperature, dwell time, and exception events into Adobe Analytics dashboards and segments. Customer service and operations teams can then monitor shipment or fleet status alongside digital interactions from tracking portals or mobile apps.

Business value: Improves exception management, reduces manual status inquiries, and gives customer-facing teams a single view of operational and digital activity.

8. Support executive reporting on connected experience performance

Data flow: Bi-directional

Combine IoT operational KPIs from OpenText Internet of Things Platform with digital experience KPIs from Adobe Analytics to create executive dashboards covering uptime, usage, support engagement, conversion, and retention. This is especially valuable for manufacturers, utilities, and logistics providers offering connected services.

Business value: Gives leadership a unified view of how asset performance and digital engagement affect revenue, service cost, and customer retention.