OpenText Core Experience Insights - Phrase Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and Phrase

1. Measure localization impact on content engagement

Data flow: Phrase → OpenText Core Experience Insights

Localized content published through Phrase can be tracked in OpenText Core Experience Insights to compare engagement by language, region, or market. This helps teams see whether translated pages, product content, or support articles are actually improving adoption and user interaction.

• Compare click-through, time on page, and conversion by locale
• Identify underperforming translations that need review
• Prioritize future translation spend based on actual usage

2. Identify content gaps in high-demand markets

Data flow: OpenText Core Experience Insights → Phrase

Usage analytics from OpenText Core Experience Insights can highlight content areas with strong demand in specific regions, but low engagement due to missing or incomplete translations. Those insights can trigger localization requests in Phrase for the most valuable content first.

• Detect pages or assets with high traffic from non-primary language audiences
• Automatically create translation jobs for missing locales
• Reduce delays in serving priority markets

3. Optimize translation workflows based on content performance

Data flow: OpenText Core Experience Insights → Phrase

When OpenText Core Experience Insights shows that certain content types drive the most engagement, teams can use that data to adjust Phrase workflows. High-value content can be routed to premium human translation, while lower-risk content can use machine translation with review.

• Apply different translation workflows by content importance
• Focus human review on pages with the highest business impact
• Improve turnaround time without sacrificing quality where it matters most

4. Track adoption of localized digital workplace content

Data flow: Phrase → OpenText Core Experience Insights

For internal portals, training materials, and employee communications, Phrase can publish localized versions that OpenText Core Experience Insights monitors for adoption. This helps HR, communications, and enablement teams understand whether employees are actually using translated content.

• Measure usage by department, geography, and language
• Spot regions where translated employee content is not reaching users
• Support continuous improvement of internal communications

5. Validate translation quality through user behavior signals

Data flow: Bi-directional

OpenText Core Experience Insights can reveal behavioral signals such as short dwell time, high exit rates, or low interaction on localized content. Those signals can be fed back into Phrase as a quality indicator, helping localization teams identify translations that may be confusing, inconsistent, or poorly adapted.

• Use engagement drop-offs as a proxy for translation issues
• Prioritize review of content with poor localized performance
• Improve consistency across languages and markets

6. Support multilingual content governance and continuous improvement

Data flow: Bi-directional

Phrase manages the translation lifecycle, while OpenText Core Experience Insights provides evidence of how content performs after publication. Together, they create a closed-loop process where localization, publishing, and performance analysis are connected for ongoing optimization.

• Link translation status to post-publish engagement metrics
• Review which content formats perform best in each language
• Build a repeatable governance model for global content operations

7. Prioritize localization for customer-facing content with measurable business value

Data flow: OpenText Core Experience Insights → Phrase

Marketing, support, and product teams can use OpenText Core Experience Insights to identify customer-facing content that drives the most engagement and conversion. Phrase can then be used to localize those assets first, ensuring translation resources are aligned to business outcomes.

• Rank content by engagement, conversion, or self-service usage
• Localize high-value assets before lower-priority materials
• Improve customer experience in target markets faster

8. Improve global content rollout planning

Data flow: Phrase → OpenText Core Experience Insights

When new multilingual content is launched through Phrase, OpenText Core Experience Insights can monitor adoption trends across regions and channels. This gives content owners a clear view of which markets are responding well and where rollout adjustments are needed.

• Track launch performance by language and geography
• Compare engagement across localized campaigns or releases
• Adjust content strategy based on real usage data