OpenText Core Experience Insights - Contentful Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and Contentful

1. Content performance analytics for editorial optimization

Data flow: Contentful ? OpenText Core Experience Insights

Track how published Contentful content performs across websites, apps, and digital channels by sending page, component, and content-item interaction data into OpenText Core Experience Insights. Digital teams can see which articles, landing pages, product pages, or campaign modules drive engagement, time on page, and repeat visits. This helps editors and marketers refine content structure, headlines, and calls to action based on actual user behavior rather than assumptions.

Business value: Improves content effectiveness, increases engagement, and supports data-driven editorial decisions.

2. Adoption analysis for new digital experiences

Data flow: Contentful ? OpenText Core Experience Insights

When launching a new website section, customer portal, or mobile experience powered by Contentful, usage data can be captured in OpenText Core Experience Insights to measure adoption by audience segment, device type, or geography. Product owners and digital experience teams can identify whether users are discovering the new content, where drop-offs occur, and which content modules are driving the most interaction.

Business value: Validates launch success, reduces guesswork, and highlights adoption barriers early.

3. Content governance and lifecycle improvement

Data flow: OpenText Core Experience Insights ? Contentful

Use engagement insights from OpenText Core Experience Insights to inform content lifecycle actions in Contentful, such as updating, archiving, or repurposing underperforming content. For example, if a product page or help article shows low engagement or high exit rates, the insights can trigger a review workflow for content owners in Contentful. This creates a closed loop between performance measurement and content maintenance.

Business value: Reduces stale content, improves content quality, and supports governance at scale.

4. Personalization and content variant testing

Data flow: Bi-directional

Contentful can manage multiple content variants for different audiences, while OpenText Core Experience Insights measures which variants perform best. Teams can compare engagement across versions of headlines, hero banners, product messaging, or support content and feed the results back into Contentful for future publishing decisions. This is especially useful for enterprise teams running regional, brand, or segment-specific experiences.

Business value: Supports continuous optimization, improves conversion potential, and enables evidence-based personalization.

5. Cross-channel content reuse based on engagement patterns

Data flow: OpenText Core Experience Insights ? Contentful

Insights from OpenText Core Experience Insights can reveal which content themes, formats, or topics resonate most with users. Content strategists can then prioritize reusable content blocks in Contentful for deployment across web, mobile, email, and portal experiences. This helps teams standardize high-performing content patterns and reduce duplication across channels.

Business value: Increases reuse, accelerates content production, and improves consistency across channels.

6. Stakeholder reporting for digital workplace and customer experience programs

Data flow: Contentful ? OpenText Core Experience Insights

Enterprise teams can combine Contentful publishing activity with OpenText Core Experience Insights usage metrics to create executive dashboards showing content output versus actual consumption. This is useful for digital workplace, internal communications, and customer experience programs where leaders need to understand whether published content is reaching employees or customers and supporting intended outcomes.

Business value: Improves transparency, supports KPI reporting, and aligns content investment with business outcomes.

7. Workflow prioritization for content operations teams

Data flow: OpenText Core Experience Insights ? Contentful

Operational teams can use engagement thresholds from OpenText Core Experience Insights to prioritize content tasks in Contentful. For example, pages with declining traffic, low scroll depth, or poor interaction rates can be flagged for review, while high-performing content can be duplicated or expanded. This helps content operations teams focus effort where it will have the greatest impact.

Business value: Improves team productivity, focuses resources on high-impact content, and shortens optimization cycles.

8. Omnichannel experience optimization

Data flow: Bi-directional

Contentful delivers structured content to multiple channels, while OpenText Core Experience Insights measures how users interact with that content across touchpoints. By correlating content delivery with engagement data, organizations can identify which channels and content types perform best for specific audiences. This supports better decisions about where to publish, how to structure content, and which experiences need redesign.

Business value: Strengthens omnichannel strategy, improves user experience, and increases the return on content investments.