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Data flow: Loci ? Kentico
Loci analyzes user behavior, content attributes, and engagement patterns to generate recommended articles, products, landing pages, or resources. Kentico then displays those recommendations dynamically within website pages, campaign landing pages, or customer portals.
Data flow: Bi-directional
Kentico sends campaign and content interaction data to Loci, while Loci returns recommendation scores or content suggestions based on user intent. Marketing teams can use this to tailor homepage banners, email landing pages, and campaign modules to different audience segments.
Data flow: Loci ? Kentico
Loci can recommend the best-performing or most relevant content assets for a specific page, audience, or topic. Kentico editors can use those recommendations to populate content blocks, related content sections, and featured article areas more efficiently.
Data flow: Kentico ? Loci
Kentico provides page views, click-throughs, conversions, and content metadata to Loci. Loci uses this data to refine recommendation logic and identify which content types, topics, or formats drive the strongest engagement.
Data flow: Bi-directional
Kentico shares browsing and purchase behavior with Loci, and Loci returns relevant product, article, or support content recommendations. This enables Kentico to present complementary content such as buying guides, cross-sell items, or post-purchase resources.
Data flow: Loci ? Kentico
Loci identifies content affinity patterns such as users interested in specific industries, product categories, or solution themes. Kentico can use those insights to segment audiences and deliver targeted campaigns, landing pages, or calls to action.
Data flow: Kentico ? Loci ? Kentico
Kentico publishes content and captures engagement metrics, while Loci identifies which assets are most effective for specific audiences. Governance and content strategy teams can use this feedback loop to retire underperforming content, refresh high-value assets, and standardize content models.