User Behavior Analysis

How to Analyze User Behavior?

Good products are built through iteration. Product iteration relies on user feedback. Understanding user behavior means mastering the basis for product iteration. This article will introduce various methods for analyzing user behavior, such as website statistics, user session recordings, and heatmaps.

Good products are built through iteration. Product iteration relies on user feedback. Understanding user behavior means mastering the basis for product iteration.

6.1 A Beginner's Guide to Website Statistics

As a website product owner, it is crucial to understand how users interact with your site. You should be familiar with the following concepts:

1. Unique Visitors

  • Meaning: The number of distinct users who visit your website within a specific time period. A user is counted as only one unique visitor, no matter how many times they visit.
  • Why it's important: This is the most basic metric, directly reflecting the size and appeal of your website's audience.
  • Industry Benchmarks:
    • To earn $10,000/month from AdSense alone: around 1 million monthly visitors.
    • To earn $10,000/month from subscriptions: 100k-300k monthly visitors (mainly from developed countries).
    • An AI product that's a serious contender: over 1 million monthly visitors.
    • A mid-tier AI product: 3-5 million monthly visitors.
    • A top-tier AI product in a niche category: over 10 million monthly visitors.
  • Suggestion: Focusing on the growth trend of unique visitors is more meaningful than a single number. A steady growth curve is usually healthier than short-term spikes.

2. Bounce Rate

  • Meaning: The percentage of visitors who leave the site after viewing only one page.
  • Note: Search engines pay a lot of attention to this metric! They prefer to give priority traffic to high-quality websites. If users of a certain site always leave after one page, search engines will tend to think it's not a great site.
  • Why it's important: A high bounce rate usually indicates that visitors didn't find what they were looking for, or the website experience is poor.
  • Industry Benchmarks:
    • Excellent: 20-40%
    • Average: 40-60%
    • Needs improvement: Over 70%
    • Exceptions: For single-page websites, blog posts, or pages for specific information queries, a high bounce rate is normal.
  • Suggestion: Improving navigation, content relevance, and page load speed can reduce the bounce rate.

3. Average Session Duration

  • Meaning: The average amount of time visitors spend on your website.
  • Note: Search engines love this data! The longer the average user session, the more it proves you have a high-quality website.
  • Why it's important: A longer session duration usually means users are interested in the content and have high engagement.
  • Industry Benchmarks:
    • Excellent: Over 5 minutes (some special categories like gaming websites can reach over 8 minutes).
    • Average: 3 minutes
    • Poor quality site: Less than 1 minute
  • Suggestion: Engaging content, easy-to-navigate design, and internal links can extend session duration.

4. Pageviews

  • Meaning: The total number of times all pages on the website have been viewed.
  • Why it's important: Reflects the overall traffic and content appeal of the website.
  • Suggestion: Analyze in conjunction with other metrics. High pageviews alone could be caused by a few visitors refreshing or browsing frequently.

5. Pages Per Session

  • Meaning: The average number of pages a visitor views in a single session.
  • Why it's important: A high number indicates that visitors are exploring your site in depth and are interested in multiple pages.
  • Industry Benchmarks:
    • Excellent: Over 3 pages
    • Average: 2-3 pages
    • Needs improvement: Below 2 pages
  • Suggestion: Optimizing internal links and recommending related content can improve this metric.

6. Traffic Sources

  • Meaning: How visitors find your website, e.g., search engines, social media, direct visits, etc.
  • Note: For excellent websites, organic search traffic often exceeds 30%, and traffic from social media tends to be stable at over 20%.
  • Why it's important: Helps you understand which channels bring the most visitors to your site, allowing you to optimize your marketing strategy.
  • Common Source Types:
    • Organic Search: Visitors who find your site through a search engine.
    • Paid Search: Visitors who enter through paid ad clicks.
    • Social Media: Traffic from platforms like Facebook, Twitter, etc.
    • Direct: Visitors who type your URL directly into their browser.
    • Referral: Visitors who enter by clicking a link from another website.
  • Suggestion: Don't rely too heavily on a single traffic source. Diversifying traffic channels can reduce risk.

7. Conversion Rate

  • Meaning: The percentage of visitors who complete a specific goal (e.g., purchase, registration, download).
  • Why it's important: Directly reflects the business effectiveness of the website and the achievement of user behavior goals.
  • Industry Benchmarks:
    • Subscription/Paid Conversion Rate:
      • Organic Traffic: Median is 0.5%, over 2% is excellent.
      • Paid Traffic: 2%-8% (depends on ad precision and product strength).
    • Email List Sign-up Rate: 2%-5%
    • E-commerce Purchase Rate: Around 2%
  • Suggestion: Even a small increase in conversion rate can lead to significant revenue growth. Focus on user experience and clear calls-to-action.

8. Exit Rate

  • Meaning: The percentage of sessions for which a specific page was the last one viewed.
  • Why it's important: A page with a high exit rate may have problems or be a natural departure point.
  • Suggestion: Analyze whether high-exit-rate pages are natural endpoints like purchase confirmation or contact pages, or if they have issues that need to be optimized.

9. New vs. Returning Visitor Ratio

  • Meaning: The ratio of first-time visitors to repeat visitors.
  • Why it's important: Helps to understand the website's ability to attract new visitors and retain old ones.
  • Industry Benchmarks:
    • New Visitors: 40-60%
    • Returning Visitors: 40-60%
  • Suggestion: A healthy website should be able to both attract new visitors and maintain the loyalty of returning ones.

10. Device Type Distribution

  • Meaning: The percentage of visitors using different device types (mobile, tablet, desktop).
  • Why it's important: Helps ensure the website displays well on all devices.
  • Industry Trends:
    • Mobile: 50-70%
    • Desktop: 25-45%
    • Tablet: 5-10%
  • Suggestion: Ensure your website uses a responsive design for a good experience on all devices.

11. Top Pages

  • Meaning: The most visited web pages.
  • Why it's important: Helps identify the most popular content and guide future content creation.
  • Suggestion: Analyze the common features of these pages to understand what attracts visitors most.

12. Geographic Distribution

  • Meaning: The countries/regions your visitors come from.
  • Why it's important: Helps to understand the geographic location of your target audience and optimize localization strategies.
  • Suggestion: Adjust content, language, and promotions based on major visitor regions.

Experience Sharing

  • Review Regularly:
    • Analyze data daily. Address any unusual data promptly.
    • Review weekly or monthly to find anomalies and opportunities.
  • Multi-dimensional Analysis: A single metric can be misleading. Please analyze multiple metrics together.
  • Set Baselines: Record your baseline data to compare progress over time.
  • Be Action-Oriented: The purpose of data collection is to guide action. Remember, even small, continuous improvements can lead to significant results over time. Be patient.

6.2 How to Collect User Data

A comparison of common website data analytics platforms:

Platform NameURLCost Description
Google Analyticshttps://analytics.google.com/Free
Plausiblehttps://plausible.io/Free for the first two months, then paid. Open-source, can be self-hosted for free.
OpenPanelFree for a small number of users, then paid. Open-source, can be self-hosted for free.

6.3 Watching User Session Recordings

  • Tool: Microsoft Clarity (Free) https://clarity.microsoft.com/
  • Value: Not only tells you "what happened" but also shows "how it happened".
  • Method:
    • Watch full user session recordings.
    • View individual samples to find a basis for improvement.

6.4 Analyzing Website Heatmaps

  • Tool: Microsoft Clarity (Free) https://clarity.microsoft.com/
  • Method: Analyze heatmaps to get statistically significant data and find a basis for improvement.

6.5 Other Ways to Collect Feedback

  • Early Product Stage: Offline research
  • Few Users: Online chat
  • Growing User Base: Discord community
  • Many Users: Email