SEA Commerce
SEA Post Purchase Survey App
SEA Post Purchase Survey App
  • 🚀Welcome to SEA Survey
  • ⚡Dashboard
  • 🛠️Survey Setup
    • Blank Survey Creation
    • Template Selection
    • Content Setup
  • 📺Channels
    • Branded survey pages
    • On-site survey
    • Thank-you page for checkout extensibility
    • Post-purchase email
    • Exit intent
  • 🗃️Survey Management
  • 📚Response Management
  • 🔐Privacy Policy
  • 📈Analytics
    • Survey results overview
    • Single & multiple choices questions
    • Number scale, star rating and satisfaction
    • Short answer questions
  • 🌎INTEGRATION
    • ✉️Survey hyperlink in email
    • 🍃Working with Shopify Flow
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On this page
  • Average point/star
  • Number of votes per point
  • Average point by user tags
  1. Analytics

Number scale, star rating and satisfaction

Transform customer ratings into actionable metrics with detailed analytics that help you understand satisfaction levels, track rating trends, and identify areas for improvement.

PreviousSingle & multiple choices questionsNextShort answer questions

Last updated 4 months ago

Rating-based questions give you quantifiable insights into customer satisfaction and preferences. Whether through number scales, star ratings, or satisfaction levels, these metrics provide clear benchmarks for measuring customer experience and tracking improvements over time. Let's explore how to interpret these powerful indicators and use them to enhance your business decisions.

Average point/star

Track your overall rating performance through multiple views:

  • Current average score across your selected time period

  • Dynamic line graph showing rating trends over time

  • Middle reference line indicating the running average

  • Shaded area showing the range between highest and lowest ratings

  • Detailed tooltips on hover revealing specific data points

Understanding these metrics helps you identify not just your average performance, but also how consistent your ratings are and where fluctuations occur.

Number of votes per point

The bar chart breaks down how many customers gave each rating point, helping you:

  • Spot rating patterns

  • Identify rating clusters

  • Understand the spread of customer satisfaction

  • Detect potential polarization in customer experiences

Average point by user tags

When you apply user tag filters, you'll see how different customer groups rate their experience. This segmentation helps you:

  • Compare satisfaction across different customer types

  • Identify segments that need more attention

  • Recognize your most satisfied customer groups

  • Target improvements for specific audiences

Pro tip: For satisfaction questions, we convert sentiment levels into a 5-point scale (Very Satisfied = 5, Very Dissatisfied = 1) to help you analyse satisfaction feedback with the same powerful tools.

Provided that you've mastered quantitative feedback analysis, let's explore how to derive insights from your customers' written responses in the next section on short answer question analytics.

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Average point/star
Number of votes per point
Average point by user tags