Addwish business is intelligently collecting and using data derived from visitor behaviour and purchasing patterns across your webshop, through the addwish business user and conversion tracking.
Inferred from these collective and individual user behaviour data, addwish business is turning data into actionable triggers and insights – used in personalisation tactics across the functionalities offered throughout the entire addwish business solution.
These visitor data, the continuous data collection and synchronisation of product data are designed to be handled automatically with no extra work required from your side.
Collective user behaviour 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 behaviour is used intelligently to stimulate and reactivate interest based on the individual users browsing and purchasing history as well as even teasing about abandoned cart interactions.
Taking recommendation intelligence to the next level, addwish business is using the collective user behaviour combined with individual user behaviour – 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 behavioural timeframe recommendations are based on. All of this to ensure the optimal sales performance for your particular audience and webshop.