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Maximizing Ad Performance on Tangbuy: A Data-Driven Approach

2025-07-31

For e-commerce merchants marketing cross-border products, Tangbuy

Strategic Ad Analysis with Tangbuy Spreadsheet

Our optimization process begins with comprehensive data processing:

  • Multi-Channel Performance Reports:
  • Demographic Heatmaps:
  • Dayparting Analysis:

Example findings from recent optimizations:

ChannelCTRCVRROAS
Facebook Stories4.2%3.1%2.8x
Google Shopping3.8%4.7%3.4x
Tangbuy Native5.1%5.9%4.2x

Five-Pillar Optimization Framework

1. Channel Effectiveness Scoring

We implement a weighted scoring system evaluating:

  • Cost-Per-Acquisition relative to product margins
  • Audience scalability potential
  • Platform-specific creative limitations

Campaigns are restructured weekly based on this dynamic assessment.

2. Granular Audience Refinement

Advanced segmentation techniques include:

  • Excluding low-LTV buyer cohorts
  • Creating custom similarity audiences from top purchasers
  • Testing value-based lookalikes at different percentage thresholds

Recent tests showed 22% higher conversion rates when using 15% similarity models versus broad interest targeting.

Budget distribution shows marked improvement after optimizations:

        Before: 
        Facebook 45% | Google 35% | Other 20%
        After:
        Tangbuy Native 50% | Google 30% | Instagram 20%
      

Proven ROI Boosting Tactics

  1. Creative A/B Testing:
  2. Bid Adjustment Automation:
  3. Cross-Sell Audience:

"After implementing these optimizations, our Taiwan-based skincare brand achieved 63% higher ROAS within two billing cycles on Tangbuy." - Verified Merchant Review

Continual Improvement Process

Successful advertisers on Tangbuy's platform

By leveraging Tangbuy's comprehensive analytics, responding to merchant feedback in Tangbuy Reviews, and implementing these data-backed strategies, ad specialists consistently deliver superior campaign performance for international ecommerce businesses.

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