Collective user behavior is aggregated and used to populate popular product recommendations based on product views and purchasing frequency as well as related product suggestions based on interest patterns and combined purchasing patterns.
Individual user behavior is used intelligently to stimulate and reactivate interest based on individual users browsing and purchasing history as well as even teasing about abandoned cart interactions.
Taking recommendation intelligence to the next level, Hello Retail is using the collective user behavior combined with individual user behavior – ensuring the personal interests are enriched with the derived knowledge across the collective patterns.
Every recommendation can be refined by applying filters, to apply a sense of urgency e.g. through filtering relevant product recommendations by only showing products currently on sales or reminding customers about old interests e.g. by shifting the behavioral timeframe recommendations are based on. All of this to ensure the optimal sales performance for your particular audience and webshop.