I can help you find which products to sell together to increase revenue

Why Hire Me?

I help e-commerce businesses increase their average order value by identifying high-potential product combinations. Using advanced analytics and behavioral data, I uncover which products should be sold together to improve revenue, retention, and marketing efficiency.

What Sets Me Apart:

• 7+ years of experience in market basket analysis and revenue optimization

• Expert in using R, Python, and Excel for affinity analysis and product clustering

• Practical understanding of e-commerce business models and customer journeys

• Deliverables include pairing strategies, actionable bundle plans, and promotion ideas

• Industry-agnostic approach tailored for B2C, D2C, or marketplace sellers

What I Need to Start Your Project

To analyze and suggest the most profitable product combinations, I need the following:

1) Product and Market Overview

• Product catalog with SKUs and categories

• Key products to promote or focus on

• Sales channels (Shopify, Amazon, custom store, etc.)

2) Historical Sales Data

• Clean transactional data (CSV/Excel/SQL) with fields like customer ID, date, order ID, product ID

• Frequency and volume of purchases

• Pricing details if available

3) Customer Behavior and Segments

• Segmentation based on demographics or purchase behavior (if available)

• Specific user groups to target with pairing strategies

4) Promotion Goals

• Desired business outcomes: increase AOV, reduce cart abandonment, launch new bundle

• Type of campaigns preferred (discounted bundles, combo offers, checkout cross-sell, etc.)

5) Implementation Preferences

• Whether the recommendations will be used online, offline, or both

• Platforms/tools used for e-commerce operations

• Format required for final recommendations (report, dashboard, playbook)