OpenText Core Experience Insights - Loci Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and Loci

1. Personalize content recommendations using engagement analytics

Data flow: OpenText Core Experience Insights ? Loci

OpenText Core Experience Insights can provide Loci with usage signals such as page views, content dwell time, search behavior, and repeat visits. Loci uses this behavioral data to refine recommendation logic and surface the most relevant articles, documents, or resources for each user segment.

Business value: Improves content relevance, increases engagement, and reduces time users spend searching for information.

2. Prioritize high-value content based on adoption trends

Data flow: OpenText Core Experience Insights ? Loci

Analytics from OpenText Core Experience Insights can identify which content types, topics, or formats drive the strongest engagement. Loci can then boost similar content in recommendation feeds, helping organizations promote materials that are proven to resonate with users.

Business value: Increases adoption of high-performing content and supports more effective content promotion strategies across business units.

3. Suppress low-performing or outdated content from recommendations

Data flow: OpenText Core Experience Insights ? Loci

When OpenText Core Experience Insights shows that certain assets have low engagement, high bounce rates, or declining usage, that information can be sent to Loci to reduce or remove those items from recommendation outputs. This helps prevent outdated or irrelevant content from being promoted.

Business value: Improves content quality, reduces user frustration, and supports governance by limiting exposure to stale information.

4. Create audience segments for targeted recommendation experiences

Data flow: Bi-directional

OpenText Core Experience Insights can segment users by role, department, location, or behavior patterns, while Loci can use those segments to tailor recommendations. In return, Loci engagement data can be fed back into OpenText Core Experience Insights to measure how each segment responds to personalized content.

Business value: Enables more precise personalization and gives business teams measurable insight into which audience groups are responding best.

5. Measure the impact of AI-driven recommendations on user adoption

Data flow: Loci ? OpenText Core Experience Insights

Loci can send recommendation performance data such as click-through rates, content interactions, and conversion events back into OpenText Core Experience Insights. This allows digital workplace, communications, and content teams to compare recommended content performance against baseline engagement.

Business value: Provides clear evidence of recommendation effectiveness and supports continuous optimization of personalization strategies.

6. Improve onboarding and training content discovery

Data flow: OpenText Core Experience Insights ? Loci

For employee onboarding or customer education programs, OpenText Core Experience Insights can identify which training materials are most accessed, where users drop off, and which topics are searched most often. Loci can then recommend the next best training asset, guide, or FAQ based on those patterns.

Business value: Helps users find relevant learning content faster, improves completion rates, and reduces support burden on HR, enablement, and service teams.

7. Support continuous content optimization for digital workplace portals

Data flow: Bi-directional

OpenText Core Experience Insights tracks how employees interact with portal content, while Loci adjusts recommendations based on those insights. Over time, both systems can be used together to test which content placements, recommendation rules, and content categories drive the best engagement.

Business value: Enables ongoing improvement of intranet and digital workplace experiences, with better alignment between content strategy and actual user behavior.