eCommerce Analytics Consulting
Bring your online store sales, customer lifetime value, basket abandonment metrics, and multi-channel marketing data together into clear, real-time dashboards. We help eCommerce brands track profitability, optimise inventory, and scale growth.
We are a specialised Data Analytics Consultancy for eCommerce companies ready to take complete control of their data.
How eCommerce Analytics Can Support Your Business:
Revenue & Sales Performance
Track revenue, average order value and sales trends.
Customer & Conversion Analytics
Understand customer behaviour, conversion rates and lifetime value.
Marketing Performance Analytics
Measure ROAS, customer acquisition costs and channel performance.
Data-Driven Decision Making
Turn eCommerce data into actionable business insights.
Data Analytics for eCommerce
Data analytics offers several advantages for ecommerce businesses. If you are not using the increasing volumes of data that your ecommerce business is generating then you are probably being left behind
From efficient reporting of product performance to machine learning and AI. Retailers are increasingly seeing the benefits of using this data to competitive advantage
Key success factors in eCommerce
Sales
The ability to give the customer what they need when they need it, for the right price
Inventory Control
Ensuring the right level of stock holding, too much can be an even bigger problem than too little
Purchasing
Not only for the right price, the quality, timeliness and reliability
Retail Operations
Retail operations need to be efficient, effective and achieve excellence.
Great Customer Experience
Understanding your customer and their needs, happy customers are usually repeat customers
Why eCommerce Brands Choose Select Distinct?
Specialist analytics built for online retailers
Track revenue, ROAS, conversion and profitability
Understand what drives customer acquisition and growth
Turn complex data into actionable insights
Tailored dashboards aligned to your goals
A single source of truth across sales and marketing
Use cases of Analytics in retail
Improved Decision-Making:
Data-driven insights help retailers make informed choices regarding inventory management, pricing strategies, and marketing campaigns.
Real-time analytics enable quick adjustments based on market trends and customer behaviour.
Enhanced Customer Experience:
Personalization: Retailers can tailor recommendations, offers, and product suggestions to individual customers.
Inventory Availability: Analytics ensure products are in stock when customers need them.
Customer Segmentation: Retailers can identify high-value customers and target them effectively.
Optimized Supply Chain:
Demand Forecasting: Predictive analytics helps retailers anticipate demand fluctuations and optimize inventory levels.
Efficient Logistics: Analytics streamline supply chain processes, reducing costs and delivery times.
Pricing and Promotion Optimization:
Dynamic Pricing: Retailers adjust prices based on demand, competitor pricing, and other factors.
Promotion Effectiveness: Analytics assess the impact of discounts and promotions on sales.
Fraud Detection and Loss Prevention:
Anomaly detection algorithms identify suspicious transactions or inventory discrepancies.
Retailers can prevent revenue loss due to theft or fraud.
Competitive Advantage:
Retailers leveraging data analytics stay ahead of competitors by adapting swiftly to market changes.
Insights from analytics drive innovation and strategic planning.
Improved Marketing ROI:
Targeted Campaigns: Retailers can allocate marketing budgets efficiently by focusing on high-potential segments.
A/B Testing: Analytics help evaluate the effectiveness of different marketing approaches.
In summary, data analytics empowers retailers to make data-backed decisions, enhance customer satisfaction, and optimize operations, ultimately leading to business growth and success
Success doesn’t come from the data or the insight alone. It happens when it is an inherent part of your retail business processes, with excellent people who can understand, interpret and apply insights from that data
Built on Real & eCommerce Experience
Simon Harrison, Founder
28 years of experience across retail, eCommerce, finance and analytics
Sports Direct
- Progressed from Finance Manager to Head of Operational Finance & Analytics over a 10-year career.
- Led strategic planning across sales, margin and inventory performance.
- Aligned departmental budgets with wider business objectives through integrated planning and reporting.
- Built and led analytics teams supporting Buying, Merchandising, Ecommerce, Marketing and Finance functions.
Morrisons
- Began career in retail operations before progressing into senior finance leadership.
- Led finance for a £300m food manufacturing subsidiary.
- Delivered finance systems and ERP transformation initiatives to support business performance and reporting.
eCommerce Analytics & Consulting
- Helping eCommerce brands improve visibility across revenue, conversion, customer acquisition and profitability.
- Developing dashboards, reporting solutions and analytics frameworks that support smarter decision-making.
- Connecting sales, customer and marketing data to create a single source of truth.
- Turning complex eCommerce data into actionable insights that drive growth.
eCommerce analytics is most effective when it’s backed by a genuine understanding of how online businesses grow, acquire customers and drive profitability.
That experience underpins every solution we deliver.
eCommerce Analytics in Action
Key Areas Delivered:
- Self-service reporting using Power BI
- NetSuite ERP integration
- Data warehouse proof of concept
- Sales and performance reporting
- Improved visibility across the business
Result:
eCommerce Analytics Success Stories
Frequently Asked Questions
How does data analytics consulting help e-commerce growth?
Our data analytics consulting for e-commerce identifies high-value customer segments and optimizes marketing spend. By analysing conversion rates and customer journeys, we help you focus resources on the channels that drive the highest ROI.
Can you integrate data from Shopify, Magento, or WooCommerce?
Yes. We specialize in connecting your e-commerce platforms, advertising accounts (Google/Meta), and inventory systems into a unified Power BI dashboard. This provides a "single source of truth" for your entire digital operation.
How can data analytics improve inventory management?
We build predictive models that analyse historical sales trends and seasonality. This allows you to optimize stock levels, reducing the capital tied up in slow-moving items while preventing lost sales from stockouts on top-performing products.
Does data analytics help reduce customer acquisition costs (CAC)?
Absolutely. By calculating accurate Customer Lifetime Value (CLV) and attribution models, our data analytics consulting for e-commerce helps you identify which campaigns bring in the most profitable customers over the long term, not just the first click.
How do you handle data privacy and GDPR for online stores?
We prioritize security by building solutions within your secure cloud environment. Our dashboards use anonymized data patterns to drive strategy, ensuring your customer’s personally identifiable information (PII) remains protected and compliant with UK regulations.