Weekly 1:1 Personalized Offers

WEEKLY 1:1 PERSONALIZED OFFERS

1:1 Personalized Offers. Delivered Weekly.

Weekly offers, whereby both the products offered and their individualized discounts are optimized and personalized to each customer, lasting seven days

UNLOCK THE POWER OF 1:1 WEEKLY PERSONALIZED OFFERS

The BeansOS Differentiators

Keeping Customers Engaged Over Time

Brand Stays Top of Mind

Weekly offers, whereby both the products offered and their corresponding discounts, are optimized and personalized to each customer, lasting seven days. Weekly offers drive ongoing engagement and build long-term customer relationships.

Product-Level Variability

Tailored to Individual Preferences

With an extensive product catalog, it’s crucial to understand how each customer’s preferences and needs vary across individual products. BeansOS identifies these variations to make more accurate recommendations that resonate with each customer’s unique tastes.

Product-Level Willingness To Pay

Aligning Recommendations to Each Customer’s Perceived Value

Understanding that a customer’s willingness to pay varies by product, BeansOS tailors each personalized recommendation to reflect this variability. Doing so allows BeansOS to maximize conversions while staying aligned with each customer’s perceived value of a product.

Multi-Layered AI and ML Models

Precision and Adaptability

Our suite of AI and ML models—including gradient boosted trees, Bayesian networks, multi-armed bandits, , and neural networks—works in tandem to evaluate each individual customer’s behaviors and decisions, continuously optimizing to achieve the desired business objective.

Offer Scalability

Unleashing Endless Experimentation

BeansOS enables experimentation with every allowable product x discount combination. By continuously analyzing these interactions, we uncover hidden opportunities for cross-selling and switching, ensuring that every recommendation aligns with each customer’s preferences and maximizes retention.

Sequential Choice Behavior

Understanding the Customer Journey

BeansOS tracks customer behaviors in real time, accounting for the timing and sequence of each action. Doing so allows for the evaluation of how prior decisions influence future ones, enabling BeansOS to deliver relevant recommendations at the perfect moment in a customer’s journey.

Stretch + Product Discovery

Helping Customers Explore New Options

BeansOS continuously assesses customer behaviors to determine complementary products they may be interested in, especially in light of new product introductions and discontinued items. This ensures that customers are always offered relevant, timely suggestions that match their evolving preferences.

Cannibalization Reduction

Optimizing Gross Profits While Minimizing Loss

Every personalized offer is carefully assessed for its potential impact of cannibalization on other products. By minimizing this effect at the individual customer-recommendation level, BeansOS ensures that personalized recommendations drive net incremental gross profits.

BeansOS at a Glance

Witness the powerful results BeansOS has delivered for leading retailers. By leveraging data-driven insights, BeansOS drives real, measurable impact in personalizing offers, refining product recommendations, and enhancing customer engagement.

+$4 Billion

2024 Client Web Sales

+300 Million

Personalized recommendations every week

150 ms

Average API response time

Adapting to changing customer behaviors and preferences is an imperative.

Week over week, every single customer gives retailers insights into what their needs and preferences are. Leveraging these insights to deliver weekly 1:1 personalized offers is how retailers can drive engagement and retention.