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Productsup - OpenText Core Experience Insights Integration and Automation

Integrate Productsup Product Information Management (PIM) and OpenText Core Experience Insights Artificial intelligence (AI) apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between Productsup and OpenText Core Experience Insights

1. Channel content performance feedback loop

Data flow: Productsup ? OpenText Core Experience Insights ? Productsup

Publish product feeds from Productsup to e-commerce channels and use OpenText Core Experience Insights to measure how shoppers interact with the resulting product content, such as clicks, engagement, and conversion behavior. Feed these insights back into Productsup to refine titles, descriptions, attributes, and image selection for specific channels.

Business value: Improves product content effectiveness by aligning feed optimization with real user behavior, helping merchandising and e-commerce teams increase conversion rates and reduce underperforming listings.

2. Product content adoption analysis across digital channels

Data flow: Productsup ? OpenText Core Experience Insights

Use Productsup to syndicate product information to marketplaces, retail media, and comparison shopping engines, then track which channel-specific content variants drive the highest engagement in OpenText Core Experience Insights. Compare performance by channel, product category, and content version.

Business value: Gives marketing and e-commerce teams a clear view of which content formats work best in each channel, supporting better investment decisions and more consistent channel execution.

3. Optimization of product detail page experiences

Data flow: OpenText Core Experience Insights ? Productsup

Analyze user interaction patterns on product detail pages, such as scroll depth, image engagement, and abandonment points, then use those findings to adjust the product content distributed through Productsup. For example, prioritize richer imagery, reorder attributes, or shorten long descriptions for products with low engagement.

Business value: Helps digital commerce teams improve product page usability and relevance, reducing friction in the buying journey and increasing add-to-cart performance.

4. Marketplace listing quality improvement program

Data flow: Productsup ? OpenText Core Experience Insights ? Productsup

After Productsup publishes listings to marketplaces, OpenText Core Experience Insights can identify which listings receive low engagement, high bounce rates, or weak conversion. Those insights can trigger content updates in Productsup, such as correcting missing attributes, improving keyword usage, or enhancing product imagery.

Business value: Supports a continuous improvement workflow for marketplace operations, reducing wasted traffic and improving listing competitiveness without manual guesswork.

5. Content governance and approval prioritization

Data flow: OpenText Core Experience Insights ? Productsup

Use OpenText Core Experience Insights to identify high-impact products, channels, or content types that need attention based on usage and engagement trends. Prioritize those items in Productsup for content enrichment, validation, and syndication approval workflows.

Business value: Helps content operations teams focus effort on the products and channels that matter most, improving productivity and speeding up time to market.

6. Campaign-specific product content optimization

Data flow: Productsup ? OpenText Core Experience Insights ? Productsup

When Productsup distributes product content for seasonal campaigns or promotions, OpenText Core Experience Insights can measure how users respond to campaign-linked product pages and content variations. The results can be used to refine future campaign feeds, including promotional messaging, asset selection, and product grouping.

Business value: Enables marketing and merchandising teams to learn from each campaign and improve the effectiveness of future launches, promotions, and seasonal trading periods.

7. Cross-functional reporting for commerce and digital experience teams

Data flow: Bi-directional

Combine Productsup feed distribution data with OpenText Core Experience Insights engagement metrics in a shared reporting layer. Commerce teams can see where product content was published, while digital experience teams can see how users interacted with that content across channels and applications.

Business value: Creates a single operational view for e-commerce, content, and analytics teams, improving collaboration and making it easier to link content operations to business outcomes.

8. Exception management for low-performing product content

Data flow: OpenText Core Experience Insights ? Productsup

Detect products or content variants with poor engagement, high exit rates, or low adoption in OpenText Core Experience Insights and send those exceptions into Productsup as tasks or content improvement requests. Teams can then update the affected feeds and republish to the relevant channels.

Business value: Establishes a structured remediation process that turns analytics into action, reducing the time between identifying a problem and correcting it.

How to integrate and automate Productsup with OpenText Core Experience Insights using OneTeg?