OpenText Core Experience Insights - Adobe Analytics Integration and Automation
Common Integration Use Cases Between OpenText Core Experience Insights and Adobe Analytics
OpenText Core Experience Insights helps organizations understand how employees and customers interact with content and applications, while Adobe Analytics provides deep digital behavior analytics across web and app experiences. Together, they can connect content engagement with broader digital journey data to improve adoption, optimize experiences, and support data-driven decision-making.
1. Correlate Content Engagement with Digital Journey Performance
Data flow: OpenText Core Experience Insights to Adobe Analytics
Use OpenText Core Experience Insights to capture how users engage with specific documents, knowledge articles, or application content, then send those engagement signals into Adobe Analytics to correlate content usage with downstream digital behavior such as conversion, task completion, or abandonment.
- Measure whether high-engagement content improves form completion or self-service success
- Identify content assets that drive repeat visits or reduce support escalations
- Compare engagement by audience segment, device type, or region
Business value: Helps teams understand which content actually influences digital outcomes, not just clicks or views.
2. Identify Underused Content That Impacts Adoption
Data flow: Bi-directional
Combine Adobe Analytics usage patterns from portals, intranets, or customer-facing applications with OpenText Core Experience Insights content-level engagement data to identify content that is available but not being discovered or used effectively.
- Spot high-traffic pages with low content interaction
- Detect knowledge articles or onboarding materials that are not supporting user tasks
- Prioritize content redesign based on actual usage gaps
Business value: Improves adoption of digital workplace and customer self-service resources by aligning content with real user behavior.
3. Optimize Employee Onboarding and Training Journeys
Data flow: OpenText Core Experience Insights to Adobe Analytics
Track how employees interact with onboarding guides, policy documents, and training content in OpenText Core Experience Insights, then feed that data into Adobe Analytics to measure completion rates, drop-off points, and time-to-productivity across onboarding journeys.
- Compare content engagement across departments or job roles
- Identify onboarding steps that cause delays or confusion
- Improve training content based on completion and revisit patterns
Business value: Reduces onboarding friction and helps HR and enablement teams improve workforce readiness.
4. Improve Self-Service Deflection in Customer Support Portals
Data flow: Adobe Analytics to OpenText Core Experience Insights
Use Adobe Analytics to identify customer support portal pages with high traffic, repeated searches, or exit rates, then pass those insights to OpenText Core Experience Insights so content teams can review which help articles, FAQs, or guided resources need improvement.
- Find support topics with high demand but poor resolution rates
- Prioritize updates to articles that are frequently accessed but not effective
- Reduce contact center volume by improving content relevance
Business value: Lowers support costs and increases customer self-service success.
5. Measure Content Effectiveness Across Digital Workplace Portals
Data flow: Bi-directional
Integrate Adobe Analytics portal metrics with OpenText Core Experience Insights content engagement data to evaluate how internal communications, policy updates, and knowledge assets perform across employee portals and intranet experiences.
- Track which announcements or knowledge articles drive follow-up actions
- Measure engagement by business unit, location, or role
- Identify content fatigue or overexposure in internal communications
Business value: Gives communications and HR teams a clearer view of what employees actually read, use, and act on.
6. Support Continuous Content Improvement for Regulated Information
Data flow: OpenText Core Experience Insights to Adobe Analytics
For regulated industries such as financial services, healthcare, or manufacturing, use OpenText Core Experience Insights to monitor engagement with compliance documents, policy pages, or product instructions, then send performance data to Adobe Analytics to assess whether users are finding and using the right information at the right time.
- Detect documents with low engagement but high business importance
- Identify content that users repeatedly return to for clarification
- Support audit-ready reporting on content usage trends
Business value: Improves compliance communication and reduces operational risk from misunderstood or underused content.
7. Build Executive Dashboards for Experience and Adoption Metrics
Data flow: Bi-directional
Combine OpenText Core Experience Insights and Adobe Analytics data into shared executive dashboards to provide a unified view of content engagement, digital adoption, and experience performance across internal and external channels.
- Show content engagement alongside conversion, retention, or task completion metrics
- Track adoption of new portals, applications, or knowledge bases
- Support quarterly business reviews with consistent experience KPIs
Business value: Gives leadership a single view of experience performance and helps prioritize investment in content and digital channels.
8. Trigger Content Governance Actions Based on Usage Trends
Data flow: Adobe Analytics to OpenText Core Experience Insights
Use Adobe Analytics to detect changes in user behavior such as declining page visits, increased exits, or search failures, then route those signals into OpenText Core Experience Insights workflows so content owners can review, update, or retire outdated assets.
- Automatically flag stale content for review
- Prioritize updates based on traffic and engagement decline
- Assign remediation tasks to content owners or experience teams
Business value: Improves content governance and ensures digital experiences stay relevant and accurate.
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