Unlock the Hidden Revenue in Your E-commerce store
We Analyze Your Data to Cut Acquisition Costs, Boost Retention, Convert More Buyers, and Sell More to Existing Customers with Advanced Segmentation—Pay Only When You See Real Results
What can we do for your business
Customer Segmentation
Deep dive into your customers’ behavior to target and retain high-value buyers
Boost Your Sales
Actionable insights to increase conversion rates and drive more revenue
Reduce Churn
Predict and prevent customer loss with tailored retention strategies
Price optimization
How much your clients are really willing to pay, eliminating the need for competitor price comparisons
Effective quick-sales strategies
Based on historical sales and marketing data: get new sales quick
Increasing cross-sales and up-sales
Gain insights into customer preferences, enabling personalized recommendations without new tools
Optimize Your Inventory
Smart recommendations for faster turnover and reduced storage costs
Maximize Your Marketing ROI
Data-driven strategies to lower your acquisition cost and increase profitability
Implementing a Data-Driven Culture
Integrating data collection systems, and convincing staff and leadership of the value of new initiatives
From Your Data To Revenue Growth
Our Proven Process: Transforming Your Customer and Sales Data into Actionable Insights and Measurable Growth
Initial
Consultation
We discuss your business goals and challenges to understand your unique needs
Data
Collection
You provide access to relevant data, such as customer, sales, and marketing data
In-Depth
Analysis
We dive deep into your data, identifying trends, opportunities, and problem areas
Customized
Recommendations
Receive a tailored report with actionable insights and strategies to grow sales and optimize operations
Implementation
Support
We assist you in applying the insights to achieve measurable improvements
Ongoing
Optimization
Track progress and refine strategies to maximize results over time
Services
New Customers for Your Online Store
Identifying ideal clients for your store. We'll show what matters to your clients to help you stand out and attract new buyers, even with a small ad budget.
- Personalized ad messaging based on client behavior and preferences.
- An analysis of existing client data to identify common traits, behaviors, and ideal segments for targeted campaigns.
- Machine learning model predicting high-likelihood buyers based on site activity.
- The product list, promotions, and conditions that resonate most with your clients are mapped to relevant segments.
- Optimization of ad campaigns using machine learning to focus on the most promising customer segments, reducing costs and boosting efficiency.
Pricing Strategy
A comprehensive pricing optimization system reveals how much your clients are truly willing to pay, eliminating the need for competitor price comparisons.
- Identification of customer price sensitivity to optimize prices for retention and profit maximization.
- Profit-maximizing, customer-retaining pricing strategies based on sales and customer data analysis.
- Demand forecasting models to set prices that match market conditions and customer expectations.
Achieve Quick Sales
System for generating quick sales in your online store without new resources, automation systems, or business slowdowns.
- Identify the most effective quick-sale strategies based on historical sales and marketing data.
- Personalized offers for clients based on previous purchases and preferences to drive immediate sales.
- Flash sale and time-limited offers that draw quick attention and increase sales.
- Optimize your current marketing campaigns with machine learning to maximize impact.
- Step-by-step guidance to implement new strategies with minimal time and effort.
Boost Cross-Sales and Up-Sales
Comprehensive approach to increasing cross-sales and up-sales. Gain insights into customer preferences, enabling personalized recommendations without new tools.
- Client behavior and preference patterns for targeted cross-sales.
- Customer segmentation based on behavior and purchasing patterns for personalized cross-sale offers.
- Analysis of return and rejection data to pinpoint issues and improve cross-sale offers.
- List of best-fit products for personalized recommendations.
- Top product combinations for cross-sales.
- Email and social media marketing strategies for promoting additional products.
Reduce Customer Churn in Your Store
System to reduce customer churn—understand why clients leave and lower churn rates. Identify at-risk clients and learn how to retain them.
- Identify reasons for churn using an ML model analyzing customer behavior.
- List of key factors driving churn with actionable solutions.
- Model for predicting high-risk churn customers based on behavior and purchase history.
- Personalized offers and campaigns for high-risk churn clients.
Customer Loyalty Improvement
System to enhance customer loyalty without complex quality standards or high service levels, through personalized attention and rewarding loyal clients. Effective even with slower order processing and longer delivery times.
- Identify problem areas in customer interactions with actionable solutions requiring minimal training.
- Find high-value, loyal clients to offer exclusive rewards and promotions.
- Targeted marketing campaigns for repeat customers based on preferences and purchase history.
- Data-driven personalization models to quickly deploy personalized offers and communications.
Sales Growth Opportunities
Sales growth opportunities unique to your online store. Segment clients effectively to sell more.
- Potential growth points identified from historical data analysis.
- Most profitable customer segments and products.
- Sales forecasting model to identify promising growth directions.
- Internal trends, patterns, and client preferences based on behavior analysis.
- Personalized offers for each customer segment, designed to increase conversions and average order value.
Inventory Management Optimization
Inventory management optimization plan and demand forecasting without costly systems or extensive automation.
- ML algorithms for demand forecasting based on historical sales data.
- Demand forecasts adjusted for seasonal fluctuations and trends.
- Set of simple inventory management rules that can be implemented without automation.
- Process optimization strategies for warehousing and logistics, based on product movement and storage data.
- Recommendations for using available tools and resources to improve inventory management without expensive automation systems.
- Sales and inventory data analysis to pinpoint excess and shortages, with solutions for optimization.
Increase Website Conversion Rates
Step-by-step plan for boosting conversions on your online store.
- List of navigation and design issues with improvement suggestions based on user behavior analysis.
- A/B testing strategies for website elements to identify the best options for higher conversions.
- Site element loading prioritization to reduce load time and improve user experience.
Advertising Budget Optimization
Advertising expense optimization, pinpointing which ads to invest in and which to shut down.
- Recommendations for ad budget redistribution based on channel performance analysis.
- Identifying the most effective promotion channels and optimize ad budgets using machine learning.
Implementing a Data-Driven Culture
Comprehensive plan for building a data-driven culture, integrating data collection systems, and convincing staff and leadership of the value of new initiatives.
- Step-by-step guides and instructions for data handling.
- Analysis of current data collection systems and processes to identify integration and optimization opportunities without high costs.
- Internal presentations and communication campaigns to inform leadership about the benefits and necessity of a data-driven culture.
Case Study: Online-Shop of BAAs and Health Goods
E-commerce store with BAAs and goods for health, in business for 4 years. Annual revenue - $2.2 million. 32000 customers, average sale - $103, average revenue per customer - $179.
