Salsify - OpenText Core Experience Insights Integration and Automation

Common Integration Use Cases Between Salsify and OpenText Core Experience Insights

Below are practical integration scenarios that connect Salsify’s product content management and syndication capabilities with OpenText Core Experience Insights? analytics on content and application usage. Together, they help teams understand how product content is used, where it performs well, and where improvements are needed.

• 1. Measure Product Content Engagement Across Digital Channels

  Data flow: Salsify to OpenText Core Experience Insights

  Publish product content from Salsify to e-commerce sites, retailer portals, or internal product portals, then feed engagement data such as page views, click-throughs, time on page, and content interactions into OpenText Core Experience Insights. This helps marketing and e-commerce teams identify which product descriptions, images, videos, and enhanced content drive the most engagement and conversion interest.

• 2. Identify Underperforming Product Listings for Content Optimization

  Data flow: OpenText Core Experience Insights to Salsify

  Use OpenText Core Experience Insights to detect product pages with low engagement, high bounce rates, or poor adoption of key content elements. Send these insights back to Salsify so product content managers can prioritize updates to titles, bullets, imagery, comparison charts, or enhanced content modules. This creates a closed-loop process for improving digital shelf performance.

• 3. Track Retailer Portal Usage to Improve Syndication Strategy

  Data flow: Salsify to OpenText Core Experience Insights

  When Salsify syndicates product content to retailer portals and marketplace channels, OpenText Core Experience Insights can track how often internal teams or channel partners access, review, or reuse that content. Business teams can use this data to understand which retailer portals are most active, which content packages are most consumed, and where additional support or channel-specific content is needed.

• 4. Prioritize Content Governance Based on User Behavior

  Data flow: Bi-directional

  Combine Salsify content metadata with OpenText Core Experience Insights usage patterns to determine which product attributes, assets, or content types are most frequently viewed, edited, or ignored by internal users. Governance teams can then focus validation rules and workflow controls on high-impact fields, while reducing effort on low-value content areas. This improves content quality and speeds up publishing cycles.

• 5. Support Cross-Functional Collaboration on Product Launches

  Data flow: Salsify to OpenText Core Experience Insights

  For new product launches, Salsify can provide the source of truth for product data, while OpenText Core Experience Insights measures how launch content is consumed by sales, marketing, and channel teams. If launch materials are not being accessed or reviewed, teams can intervene early with targeted communications or workflow adjustments. This helps ensure launch readiness across functions and channels.

• 6. Analyze Content Adoption by Internal Teams and External Partners

  Data flow: Bi-directional

  Use Salsify to manage product content distribution and OpenText Core Experience Insights to measure adoption by internal stakeholders, distributors, and retail partners. Organizations can see which teams are actively using approved content, which partners are not engaging with updates, and where training or enablement is required. This is especially useful for large consumer goods organizations with complex partner ecosystems.

• 7. Correlate Content Changes with Engagement Trends

  Data flow: Salsify to OpenText Core Experience Insights

  When product content is updated in Salsify, send version and change metadata to OpenText Core Experience Insights so analysts can compare engagement before and after the update. This allows teams to determine whether new imagery, improved descriptions, or richer content modules improve user behavior and product page performance. The result is a more data-driven content optimization process.

These integrations help organizations move from simply publishing product content to continuously measuring and improving its effectiveness across channels, teams, and partner ecosystems.