Analytics and Statistics Guide

Understand your return data and make informed decisions to improve your business

Overview

your analytics dashboard provides powerful insights on your return performance. Use this data for identify the trends, resolve issues and improve your customer experience.

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Key Metrics

Here are the main metrics you should monitor:

📦 Total Returns

The number of return requests received during a specific period. Track this to comtake le volume of your returns.

Use cases : Use this to plan capacity and comtake the seasonal trends.

📊 Return Rate

Percentage of orders that result in a return. A lower return rate generally indicates better product-customer fit.

Use cases : Benchmark against industry standards and identify problem products.

⏱️ Average Response Time

How long it takes you to respond to return requests. faster responses improve customer satisfaction.

Use cases : Set response time goals and track your team's performance.

🔍 Top return reasons

the most common reasons customers give for returns. This reveals product or communication issues.

Use cases : Address the main reasons to reduce future returns.

Comtake the trends

Analyze return data across different time periods to identify patterns:

📅 Daily Trends

View returns per day to spot sudden spikes or immediate issues.

📈 Weekly Trends

Identify patterns by day of the week - do certain days have more returns?

📊 Monthly trends

Track performance month by month and compare to previous periods.

🗓️ Annual Trends

Understand seasonal patterns and long-term growth trends.

Use data to improve

Transform your analytics into concrete actions:

🔧 Identify Product Issues

If certain products have high return rates:

  • Review product descriptions and photos - are they accurate?
  • Check quality some products aupres of your provider
  • Consider adding more details or warnings to the product

💬 Improve Customer Service

Use analytics to improve your response time:

  • Set response time goals (e.g., respond within 24h)
  • Identify the peak hours and adjust staffing accordingly
  • Create response templates for common return reasons

📉 Reduce Return Rate

Use the main reasons to prevent future returns:

  • If 'incorrect size' is common, Add a guide some size detailed
  • If 'doesn't match description' is high, improve Product photos
  • If 'poor quality' is mentioned, envisagez of change of provider

Export your data

Need deeper analysis? Export your return data in CSV format for use in Excel, Google Sheets or your own analytics system.

How to export:

  1. Go to Dashboard → Analytics
  2. Select the date range you want to export
  3. Click the 'Export to CSV' button
  4. Open the file in your preferred analytics tool

Start analyzing

View your return data and discover insights to improve your business

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ReturnEase - Return Management for Online Stores