Case Study: iBOOD boosts conversion and revenue with Particular Audience's multi-modal recommendations

iBOOD - Customer Case Study

The customer, iBOOD, a daily deals site, faced the cold start problem. Their business required them to frequently add new items that had little to no behavioral data, making it impossible for traditional personalization tools to provide relevant recommendations.

Particular Audience solved this challenge using their multi-modal NLP algorithms. Their solution ensured new items were immediately surfaced and could be recommended right away. The implementation delivered significant results for iBOOD, including a 16.2% lift in conversion, an 11.4% lift in revenue per visitor, and a 55% increase in longtail item sales.

iBOOD

Lukas Jorissen

Chief Marketing Officer