OpenText DAM (OTMM) - OpenText Core Experience Insights Integration and Automation

Common Integration Use Cases Between OpenText DAM (OTMM) and OpenText Core Experience Insights

OpenText DAM (OTMM) manages rich media assets such as product images, marketing campaign content, museum collections, and broadcast video. OpenText Core Experience Insights measures how users interact with content and applications, helping organizations understand engagement, adoption, and usage patterns. Together, they can connect content operations with real usage data to improve asset performance, user experience, and business outcomes.

1. Measure which digital assets drive the highest engagement

Data flow: OpenText DAM (OTMM) to OpenText Core Experience Insights

Track how product images, campaign visuals, and videos stored in OTMM perform once published to websites, portals, or distribution channels. Core Experience Insights can capture views, clicks, dwell time, and downstream interactions tied to specific asset IDs or URLs.

• Identify which product images improve conversion on eCommerce pages
• Compare engagement across video formats, thumbnails, and campaign creatives
• Prioritize high-performing assets for reuse in future campaigns

Business value: Marketing and product teams can make evidence-based decisions about which assets to promote, retire, or repurpose.

2. Optimize asset search and discovery in the DAM

Data flow: OpenText Core Experience Insights to OpenText DAM (OTMM)

Use analytics from DAM search behavior to understand how users find or fail to find assets. Core Experience Insights can reveal common search terms, failed searches, filter usage, and navigation paths within the DAM interface.

• Identify missing metadata that causes poor search results
• Improve taxonomy and tagging based on actual user behavior
• Reduce time spent locating approved assets for campaigns or product launches

Business value: Content teams and DAM administrators can improve findability and reduce operational friction for internal users.

3. Improve product content distribution based on channel performance

Data flow: OpenText DAM (OTMM) to OpenText Core Experience Insights

For organizations distributing product images and videos to retailers, marketplaces, or brand sites, OTMM can publish assets to multiple channels while Core Experience Insights measures which channels generate the strongest engagement or conversion.

• Compare asset performance across eCommerce, partner portals, and mobile apps
• Detect which image variants work best by channel or audience segment
• Adjust distribution rules to favor high-performing formats

Business value: Teams can align asset distribution with channel-specific performance, improving return on content production.

4. Analyze campaign asset effectiveness across teams

Data flow: OpenText DAM (OTMM) to OpenText Core Experience Insights

Marketing teams can publish campaign assets from OTMM and use Core Experience Insights to measure how those assets perform across landing pages, email, intranet, and digital campaigns. This creates a feedback loop between creative production and campaign execution.

• Measure which banners, hero images, and videos drive the most engagement
• Identify underperforming creative assets early in a campaign
• Share performance insights with creative, media, and campaign operations teams

Business value: Campaign teams can optimize creative selection and improve campaign effectiveness without relying only on end-of-campaign reporting.

5. Track internal adoption of DAM content workflows

Data flow: OpenText Core Experience Insights to OpenText DAM (OTMM)

Monitor how employees, agencies, and partners use DAM workflows such as upload, approval, search, download, and rendition selection. Core Experience Insights can show where users abandon tasks or encounter friction.

• Detect bottlenecks in approval or versioning workflows
• Measure adoption of new DAM features after rollout
• Identify training needs for specific user groups

Business value: Operations and enablement teams can improve user adoption and reduce support requests.

6. Support museum and heritage content engagement analysis

Data flow: OpenText DAM (OTMM) to OpenText Core Experience Insights

Museums and heritage organizations can store collection images and videos in OTMM and use Core Experience Insights to understand how visitors interact with digital exhibits, collection pages, and educational content.

• Measure which artifacts or exhibit media attract the most attention
• Compare engagement across audiences such as researchers, students, and general visitors
• Inform curation and digital exhibit design based on usage data

Business value: Cultural institutions can improve digital engagement and better allocate effort to the content that matters most to audiences.

7. Improve broadcast and on-demand video asset strategy

Data flow: OpenText DAM (OTMM) to OpenText Core Experience Insights

Broadcast and media teams can manage short-form and long-form video assets in OTMM while Core Experience Insights tracks playback behavior, completion rates, drop-off points, and repeat viewing patterns across platforms.

• Determine which clips retain viewers longest
• Optimize video length, thumbnails, and metadata
• Guide future production decisions using audience behavior data

Business value: Media teams can improve content effectiveness and reduce wasted production spend on low-performing formats.

8. Create a closed-loop content improvement process

Data flow: Bi-directional between OpenText DAM (OTMM) and OpenText Core Experience Insights

Combine asset metadata from OTMM with engagement analytics from Core Experience Insights to create a continuous improvement loop. Performance data can be fed back into the DAM to enrich asset records with usage scores, channel performance, and recommended reuse status.

• Tag assets with engagement metrics for easier selection by future users
• Retire or archive low-performing assets based on actual usage
• Surface top-performing assets in DAM search results or collections

Business value: This enables smarter content governance, faster asset selection, and better alignment between content production and business outcomes.