OpenText Core Experience Insights - BigCommerce Integration and Automation

Common Integration Use Cases Between OpenText Core Experience Insights and BigCommerce

1. Measure storefront engagement and conversion behavior

Data flow: BigCommerce ? OpenText Core Experience Insights

Capture shopper interactions from the BigCommerce storefront, such as product views, search usage, cart additions, checkout drop-off, and navigation paths. OpenText Core Experience Insights can analyze these behaviors to identify where customers abandon the buying journey and which content or product pages drive the strongest engagement.

Business value: Helps eCommerce teams improve conversion rates, reduce friction in the purchase journey, and prioritize UX changes based on actual customer behavior.

2. Track adoption of new storefront features and promotions

Data flow: BigCommerce ? OpenText Core Experience Insights

When BigCommerce launches new features such as personalized recommendations, subscription options, or promotional landing pages, usage data can be sent to OpenText Core Experience Insights to measure adoption and customer response. Teams can compare engagement across campaigns, customer segments, and devices.

Business value: Enables merchandising and digital teams to validate which commerce enhancements are being used and which require redesign or better promotion.

3. Optimize product content performance

Data flow: BigCommerce ? OpenText Core Experience Insights

Analyze how shoppers interact with product detail pages, including image clicks, video plays, specification expansion, reviews, and related product navigation. OpenText Core Experience Insights can highlight which content elements improve engagement and which product pages underperform.

Business value: Supports product and content teams in improving product page effectiveness, increasing time on page, and reducing bounce rates.

4. Identify customer experience issues by channel or segment

Data flow: BigCommerce ? OpenText Core Experience Insights

Send commerce interaction data from BigCommerce into OpenText Core Experience Insights and segment it by customer type, geography, device, or sales channel. This allows teams to compare behavior across B2B buyers, retail customers, mobile users, and marketplace traffic to uncover experience gaps.

Business value: Helps digital commerce leaders tailor experiences for specific audiences and resolve segment-specific friction that impacts revenue.

5. Improve merchandising decisions using behavioral insights

Data flow: BigCommerce ? OpenText Core Experience Insights

Use interaction analytics from BigCommerce to understand which categories, filters, search terms, and sort options are most effective in helping shoppers find products. OpenText Core Experience Insights can surface patterns that inform merchandising strategy and site structure improvements.

Business value: Gives merchandising teams evidence to refine category layouts, search relevance, and product discovery paths.

6. Monitor the impact of content and UX changes after release

Data flow: BigCommerce ? OpenText Core Experience Insights

After deploying storefront updates in BigCommerce, such as checkout changes, homepage redesigns, or new navigation structures, OpenText Core Experience Insights can track whether user engagement and conversion improve or decline. This creates a closed-loop feedback process for continuous optimization.

Business value: Reduces risk in digital releases and helps teams prove the impact of UX and commerce changes with measurable outcomes.

7. Support cross-functional reporting for commerce optimization

Data flow: BigCommerce ? OpenText Core Experience Insights

Aggregate BigCommerce interaction data into OpenText Core Experience Insights to provide shared reporting for eCommerce, marketing, UX, and product teams. Stakeholders can review dashboards showing engagement trends, funnel performance, and content effectiveness in one place.

Business value: Improves alignment across teams, shortens decision cycles, and creates a common view of commerce performance.

8. Correlate customer behavior with operational commerce outcomes

Data flow: Bi-directional, with BigCommerce sending behavioral data and OpenText Core Experience Insights returning insights to business teams

Combine BigCommerce transaction and interaction data with OpenText Core Experience Insights analytics to correlate browsing behavior with order completion, repeat visits, and customer retention. Insights can be used to prioritize improvements in product discovery, checkout, and post-purchase journeys.

Business value: Helps enterprise retailers connect experience quality to revenue outcomes and focus investment on the highest-impact commerce improvements.