Real-Time Personalization Transforms Digital Engagement at Bonhams

In the world of fine art and luxury auctions, timing, relevance, and personalization plays a critical role in driving engagement. Collectors expect communications that reflect their interests, bidding behavior, and affinities; but delivering that level of relevance at scale is not simple.

Bonhams, one of the world’s largest and most respected international auction houses, found that its digital marketing efforts were not fully leveraging customer behavior data. Campaigns were largely generic, newsletters highlighted the same auctions for all recipients, and teams lacked real-time insight into how customers interacted with digital platforms. Without visibility into engagement or tools to act on behavioral signals, marketing impact was limited.

To strengthen engagement and deliver more relevant customer experiences, Bonhams needed a way to connect real-time behavioral data with personalized marketing execution.

Ascendion implemented Salesforce Interaction Studio to give Bonhams real-time visibility into how customers interact across digital touchpoints. On-site engagement tracking was configured to capture browsing behavior, auction interest, and content engagement as it happened. These signals were used to create dynamic behavioral segments, enabling the marketing team to better understand customer affinities and intent across auctions, categories, and collections—without relying on static or historical data.

Interaction Studio was integrated with Marketing Cloud to connect real-time behavioral insight directly with campaign execution. This integration enabled Open-Time Email recommendations driven by machine learning, ensuring weekly newsletters dynamically reflected each customer’s interests and recent engagement patterns at the moment of open. Visual reporting and segmentation tools provided clear performance insight by auction category and customer behavior, empowering teams to optimize campaigns, improve relevance, and make more confident, data-driven marketing decisions.