Ecommerce & D2C

Ecommerce and D2C brands navigate a highly competitive landscape where customer acquisition costs are rising and margins are thin. Cantar helps brands build robust analytics capabilities on top of their Shopify and ecommerce data — providing deep customer insights, optimizing inventory, and delivering the actionable intelligence needed to drive sustainable growth and profitability.

Industry Challenges

  • Rising customer acquisition costs outstripping lifetime value (CLV)
  • Fragmented data across Shopify, marketing channels, and fulfillment systems
  • Overstocking or stockouts due to inaccurate demand forecasting
  • High customer churn and low repeat purchase rates
  • Difficulty measuring the true profitability of individual marketing campaigns and SKUs

How Cantar Helps

Recommendation systems and Market Basket Analysis for personalization and cross-selling

Customer cohort analysis and predictive CLV modeling to optimize acquisition spend

Unified ecommerce analytics dashboards consolidating sales, marketing, and operations data

Demand forecasting and inventory optimization models to improve cash flow

Churn prediction models and retention analytics to maximize customer lifetime value

Use Cases

  • Recommendation systems and Market Basket Analysis.
  • Customer segmentation, cohort analysis, and CLV modeling.
  • Churn and retention analytics.
  • Demand forecasting and inventory optimization.
  • Marketing profitability and ROI analytics.

Ready to dive in? Contact us today!

Let’s collaborate to transform your data, design, and business goals into impactful digital experiences.