Attract & retain Customers
Use Express Analytics’ proven AI solutions to enhance your customer research efforts. We provide strategic CX consulting and skilled resources to deliver end-to-end data analytics solutions tailored to your needs.
Customer Analytics Include
Customer Profiling Analytics
Express Analytics excels at profiling customers and modeling analytics based on their buying behavior. Using proprietary algorithms, we analyze both long-term behavior and recent browsing activity to create detailed customer profiles. This approach significantly lowers conversion costs and boosts marketing ROI. By combining customer lifetime value, journey stage, and product categories, we identify natural communities for precise micro-segmentation, aiming to target each customer individually based on these factors.
Customer Segmentation
In today’s competitive market, having complete customer information is a key advantage. Our machine learning-powered analytics segment customers into clear personas using advanced algorithms. We create segments based on customer needs and wants, grouping them accordingly. Value-oriented segmentation organizes customers by their economic value, while RFM segmentation classifies them as best, loyal, or likely to churn based on recency, frequency, and monetary value of past purchases.
Behavioral Analysis
We use machine learning models to analyze customer behavior and predict their future actions based on large data sets. By combining predictive modeling with customer segmentation, we gain a detailed understanding of buying habits and preferences. This helps marketers tailor campaigns to each segment, boosting engagement and improving response rates.
Why Choose Express Analytics?
Express Analytics offers customer acquisition strategies to reduce attrition and boost retention. By analyzing past behavior, we identify at-risk customers and uncover insights to grow CLV and drive business growth. Our tailored solutions come with ongoing support to meet your goals.
Who needs customer analytics?
Marketing Team
Create lookalike audiences and segments to deliver precise messages by accurately grouping and understanding your target populations.
Product Team
Measure customer journeys, feature usage, and product interactions so your team can test changes with real audience feedback.
Customer Support Team
Filter valuable information from irrelevant data, giving your support team clear insights on issues and ways to improve service operations.
Sales Team
Identify which services or products are more popular across several key market segments by thoroughly analyzing past sales data trends.
Win new customers with customer journey Mapping
Use cases for customer analytics
Sentiment Analysis
Automatically detect the moods and analyze the content of customer reviews, emails, or social media posts.
Personalized Marketing
Increase the productivity of your advertising efforts through highly personalized and data-driven advertising strategies.
Cross- and Up-selling
Shift your marketing efforts toward customers where the preferred result is most likely to successfully occur.
Marketing Attribution
The goal of marketing attribution is to know the value contribution of various marketing channels according to data.
Product Recommendations
Allow your customers to find their preferred products via personalized product recommendations.
Price Optimization
By analyzing past data, businesses can define optimal pricing to enable dynamic pricing or launch effective promotions.
See What Our Clients Are Saying
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