Recommendations and Personalization

Anastasia Recommendations and Personalization

Personalize your offers for each customer, achieving better marketing actions effectiveness

Recomendación-y-Personalización-de-Ofertas--(ARP)

Anastasia
Recommendations and Personalization

Personalize your offers for each customer, achieving better marketing actions effectiveness

Recommendations and Personalization

Anastasia Recommendations and Personalization (ARP) solution allows to better know your customers, through their preferences understanding, behavior patterns, their specific characteristics and how these affect or stimulate their purchase and loyalty decisions. ARP is capable of integrating complex variables to model customer behavior dynamics, its evolution over time, allowing you to know what and when to convey an offer or action to your customers individually.

Recommendations and Personalization

FUNCTIONS

Enable omnichannel recommendations

Ability to recommend through the channel/mode of preference, whether it is e-commerce, web apps, self-service kiosks, hybrid retail and promotional marketing.

Explain result logic

Understand and improve analytics and business strategy, providing analysis and monitoring of the performance of recommendations through effectiveness reports.

Hyper-personalization

Deliver personalized offers to each customer, without bias, maximizing the objective functions of your commercial strategy.

Assess business impact

Analyze and monitor the business impact of state-of-the-art recommendations models through key performance indicators (KPI).

Evolutive learning

Acquire customer knowledge over time, of their preferences and changes in them, knowing their past consumption history and current trends to make recommendations.