Meet Express Analytics at eTail West 2025

Allows marketers to decide the success or failure of a product.

Analytics Tells you how people notice and interact with products, services, and websites.

Used to rank leads according to their potential to become precious customers.

Predict future trends and analyze great volumes of data rapidly and perfectly.

Reduces costs and creates uninterrupted, and customized customer experiences.

Ensures that your website is customer-focused and allows you to serve them well.

Helps businesses retain present buyers and create loyalty that continues into future purchases.

Predicting customer preferences and managing them before the customer asks.

Includes analyzing the strategic effect of starting or closing down retail locations.

Analyze marketing data and highlight companies whether their strategies are yielding results.

Personalizing elements of every customer’s purchasing experience to meet their needs, preferences, and context.

When combined with machine learning, this AI algorithm uses big data to suggest extra products to customers.

Predictive insights allow businesses to achieve their goals by making data-based strategic decisions.

Used to predict customer churn using a machine learning algorithm to determine churn risks for every individual customer.

Both are technical needs. Data cleaning performed to maintain the quality of data to increase data visibility and business productivity.

Machine-learning-oriented analytical technique that finds segments of customers who show demographic and behavioral characteristics similar to your top, present customers.

Allows marketing teams to figure out which marketing activities are generating the most leads at various levels of the sales funnel.

Allows marketers to achieve higher revenue by targeting particular groups of current customers with offers or messages that are likely to be suitable according to data about specific sets of behaviors.