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Using Shopping Spreadsheets for Targeted Marketing in Reverse Proxy Shopping Platforms

2025-04-25

Introduction

Reverse proxy shopping platforms have grown exponentially in recent years, catering to customers who seek international products unavailable in their local markets. Effective marketing strategies are crucial for attracting users, and leveraging shopping spreadsheets can enhance campaign precision. This article explores how to use data-driven spreadsheet planning to optimize promotion efforts, including audience targeting, channel selection, and budget allocation.

1. Spreadsheet-Based User Targeting

Identify the right audience by analyzing reverse proxy shopping platform data:

  • Demographics: Track age, location, and spending habits using historical purchase data.
  • Product Preferences: Categorize top-selling items (e.g., cosmetics, electronics) to find niche markets.
  • Frequency Analysis

Example: Spreadsheet Segmentation

First> **2. Selecting Marketing Channels Data-Driven ISLOS | When deciding between channels (social media, email, affiliates), use spread[> * **Key Metrics m.ayout; d-Stint-R+ OEN——CONSUMES;
User Segment Characteristics Promotion Strategy
Fashion Enthusiasts Aged 18-35, high engagement with apparel Influencer collaborations + seasonal sales
Tech Shoppers Mid-40s, premium gadget purchases Email campaigns with tech bundles
Conversion rates | Cost-per20,election (CPC) }; mark.; **TIB [Cons