Customer Analytics can help you recognize your customers’ needs and preferences, identify the various profiles you serve, and understand their dynamic evolution through time. The data-driven insights produced by our experienced team can help transform your business by optimizing your customer management strategy and providing you with a significant competitive advantage.
Based on McKinsey, companies investing in active and consistent portfolio management experience 131% higher sales and 126% higher profit than companies who do not invest in portfolio management
Combining analytics & strategy expertise we offer holistic support regarding your client base management, covering from customer analytics to the design and execution of the optimum marketing & sales strategy for your business.
Understanding the ever-changing needs and dynamics of your customer base provides your business with a significant competitive advantage. We specialize in the following types of analysis:
o Data Cleansing & Portfolio Unification: Consolidate the customer data, collected through different touchpoints and build a Single Customer View of your portfolio, enabling you to have a complete overview of the customers’ interactions with the company
o Portfolio Deep Dive: An in-depth analysis of your customer portfolio in order to understand its dynamics and identify growth opportunities. The analysis includes indicatively demographics analysis, network usage, penetration per area, average basket & sales per customer, purchase frequency, spending diversity analysis, vintage analytics, etc.
o Segmentation (RFM, MTV, Behavioral segmentation) and Cluster Analysis: Identify customer groups with similar patterns and needs. This knowledge, when incorporated in all marketing and CRM plans, enables the business to set different objectives per segment and improve ROI.
o Welcome and Early Engagement marketing campaigns
o Cross-sell, up-sell and next best action campaigns through predictive analytics & AI recommendation functionalities
o Basket deepening campaigns
o Product repurchase strategies through trigger analytics
o Win Back Campaigns for disengaged customers
o The appropriate marketing strategy to boost the sales of a business unit or of a new or under-performing channel
o Gamification campaigns to increase customer -brand interaction
o Product rationalization strategies based on each customer’s distinct needs when you have a wide product pallet.
o Pro-active customer retention strategies combining predictive churn modeling & customer value at risk methodologies, focusing either on early or later churn warning
o Re-active customer retention strategies prioritizing the retention effort based on the projected customer value
o Or even redesign your entire customer retention process and offering
Implementing the Solution through Synerise AI platform