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CRO analysis

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Level 4

Dear Team,

I’m seeking guidance on performing a Conversion Rate Optimization (CRO) analysis for a content-focused website. Could you provide a step-by-step approach along with examples to help me understand the process?

Thank you for your assistance.

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1 Accepted Solution

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Level 5

Hi @priyankagupta20 ,

 

A very brief on what you may be wanting to do! I am not sure of what domain or type of website you have. Below should provide some examples for Conversion Rate Optimization (CRO) process for a content-focused website, incorporating the use of Adobe Analytics:

1. Define Goals and Key Metrics

  • Identify primary goals, like increasing newsletter sign-ups or content engagement. Use Adobe Analytics to set up and track these conversion metrics.

2. Understand Your Audience

  • Analyze audience demographics, behavior, and traffic sources with Adobe Analytics. Identify which content resonates most and the typical user journey.

3. Content Audit

  • Evaluate content performance using Adobe Analytics to track bounce rates, time on page, and exit rates. Determine which content needs optimization.

4. Analyze User Behavior

  • Utilize Adobe Analytics' pathing and flow reports to understand user navigation and identify drop-off points. Supplement with heatmaps or session recordings from other tools if needed.

5. Identify Bottlenecks and Opportunities

  • Pinpoint friction points, such as low-performing CTAs or high-exit pages, using Adobe Analytics' segmentation and funnel analysis features.

6. Create Hypotheses for Improvement

  • Develop testable hypotheses based on your findings. For example, "Moving the CTA above the fold on mobile will increase conversion by 20%."

7. A/B Testing

  • Use Adobe Target (if you have it or similar tool) for A/B testing different content layouts, CTA placements, or design elements to see which version performs better.

8. Analyze Test Results

  • Evaluate the A/B test outcomes using Adobe Analytics. Determine which variation led to higher conversions.

9. Implement Winning Changes

  • Roll out the successful changes site-wide and monitor their performance with Adobe Analytics to ensure sustained improvements.

10. Continuous Optimization

  • Regularly review your Adobe Analytics data for new insights and continue testing to refine and improve conversion rates.

Example:

For a digital marketing blog:

  • Goal: Increase newsletter sign-ups.
  • User Behavior: Adobe Analytics shows most users don’t scroll past the first screen.
  • Hypothesis: Moving the sign-up form above the fold will increase conversions.
  • Testing: A/B test with Adobe Target confirms a 30% increase in sign-ups.
  • Result: Implement change, track long-term success, and continue optimizing.

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1 Reply

Avatar

Correct answer by
Level 5

Hi @priyankagupta20 ,

 

A very brief on what you may be wanting to do! I am not sure of what domain or type of website you have. Below should provide some examples for Conversion Rate Optimization (CRO) process for a content-focused website, incorporating the use of Adobe Analytics:

1. Define Goals and Key Metrics

  • Identify primary goals, like increasing newsletter sign-ups or content engagement. Use Adobe Analytics to set up and track these conversion metrics.

2. Understand Your Audience

  • Analyze audience demographics, behavior, and traffic sources with Adobe Analytics. Identify which content resonates most and the typical user journey.

3. Content Audit

  • Evaluate content performance using Adobe Analytics to track bounce rates, time on page, and exit rates. Determine which content needs optimization.

4. Analyze User Behavior

  • Utilize Adobe Analytics' pathing and flow reports to understand user navigation and identify drop-off points. Supplement with heatmaps or session recordings from other tools if needed.

5. Identify Bottlenecks and Opportunities

  • Pinpoint friction points, such as low-performing CTAs or high-exit pages, using Adobe Analytics' segmentation and funnel analysis features.

6. Create Hypotheses for Improvement

  • Develop testable hypotheses based on your findings. For example, "Moving the CTA above the fold on mobile will increase conversion by 20%."

7. A/B Testing

  • Use Adobe Target (if you have it or similar tool) for A/B testing different content layouts, CTA placements, or design elements to see which version performs better.

8. Analyze Test Results

  • Evaluate the A/B test outcomes using Adobe Analytics. Determine which variation led to higher conversions.

9. Implement Winning Changes

  • Roll out the successful changes site-wide and monitor their performance with Adobe Analytics to ensure sustained improvements.

10. Continuous Optimization

  • Regularly review your Adobe Analytics data for new insights and continue testing to refine and improve conversion rates.

Example:

For a digital marketing blog:

  • Goal: Increase newsletter sign-ups.
  • User Behavior: Adobe Analytics shows most users don’t scroll past the first screen.
  • Hypothesis: Moving the sign-up form above the fold will increase conversions.
  • Testing: A/B test with Adobe Target confirms a 30% increase in sign-ups.
  • Result: Implement change, track long-term success, and continue optimizing.