Home > How to Conduct In-Depth Analysis of ootdbuy Reviews Using Spreadsheets

How to Conduct In-Depth Analysis of ootdbuy Reviews Using Spreadsheets

2025-05-19
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Jordan 4 Retro (40 color)-0001

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AirPods 3-0102

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casabianca Fashion Shirts Casual Suits (40 styles)-1146

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Prada Casual Sneakers (22 color)-0015

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New Balance 9060 series (20 style)-0011

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Dior B30 Series (20 style)-0416

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AMIRI MA-1-0024

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dunk low （30 color）-0003

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Customer reviews on ootdbuy

Step 1: Data Collection & Organization

Start by exporting review data from ootdbuy into a spreadsheet with columns for:

  • Product ID/name
  • Review ratings (1-5 stars)
  • Review text
  • Date of review
  • User demographics (if available)

Step 2: Sentiment Categorization

Create separate sheets for positive (4-5 star) and negative (1-3 star) reviews. Use spreadsheet functions to:

  • Count frequent adjectives (great, awful, etc.) using COUNTIF
  • Tag reviews by product features mentioned
  • Categorize common compliments/complaints

Step 3: Trend Analysis

Utilize pivot tables to:

  • Track rating changes before/after product updates
  • Identify seasonal demand patterns
  • Compare performance across product categories
Graph these findings using charts for visual pattern recognition.

Step 4: Competitive Benchmarking

When possible, compare your findings against:

  • - Industry averages - Direct competitors' review trends - Historical performance benchmarks

    Turning Insights into Action

    The final spreadsheet should highlight:

    1. Top 3 product strengths to emphasize in marketing

      2. Most frequent customer pain points needing redesign

      3. Optimal times to launch new products/promotions

      Modern spreadsheets (Excel, Google Sheets) with their advanced functions make this analysis accessible to any business using ootdbuy ```