Understand Your Form Analytics Reports
Form Analytics reports in Zoho PageSense provide a detailed view of how visitors interact with your forms - from the moment they land on the page to when they submit or abandon the form. Instead of focusing only on submissions, these reports capture every interaction at both the form and field level.
This helps you understand not just what users do, but where and why they drop off during the form-filling process.
Analyzing Form Analytics reports is important because it allows you to:
- Identify friction points that prevent users from completing forms
- Understand user behavior across individual form fields
- Improve form usability and reduce abandonment
- Optimize forms to increase conversions and lead quality
By using these insights, you can make data-driven improvements that create a smoother form experience and drive better results.
Form-Level Metrics
These metrics provide a high-level overview of how your form performs across all visitors.
Visitors
- Visitors represent the total number of unique users who viewed the page containing the form during the selected time period.
- Each visitor is counted only once, even if they return multiple times. This helps measure the total reach of your form.
Visits
- Visits represent the total number of times the form page was accessed during the selected time period.
- This includes both new and returning visitors, and counts every visit even if the same visitor accesses the form multiple times.
- This helps measure overall form traffic and repeat visits.
Starters
- Starters represent the number of visitors who interacted with at least one field in the form.
- This metric indicates how many users actually begin filling out the form after landing on the page.
Conversions
- Conversions represent the number of visitors who successfully submitted the form.
- A conversion is recorded when the submission is confirmed through a confirmation page or a custom event, depending on your setup.
Abandons
- Represents the number of visitors who started filling out the form but left before completing and submitting it.
- This metric helps you identify drop-off points and understand where users lose interest or face friction in the form completion process.
Form Metrics Over Time
The Form Metrics Over Time report helps you analyze how visitors interact with your form across the selected date range by comparing key metrics such as starters, conversions, and abandons over time.
The graph visually represents trends for each metric:
- Starters – Visitors who began filling out the form
- Conversions – Visitors who successfully submitted the form
- Abandons – Visitors who left the form before submission
Each metric is plotted against time, allowing you to identify periods of high engagement, increased drop-offs, or successful conversions.
Form Submission Statistics
Average Time to Submit
Average Time Spent
Form Submission Statistics
This section displays the number of successful and failed submissions.
It helps identify issues such as:
- Validation errors
- Broken submission flows
- Technical problems in the form
Average Time to Submit
This metric shows the average time taken by users who successfully submitted the form.
Longer times may indicate:
- Complex or lengthy forms
- Confusing fields
- Validation or input difficulties
Average Time Spent
- Average Time Spent represents the average time all users spend interacting with the form, including those who abandon it.
- This helps measure overall engagement and effort required to complete the form.
Field-Level Metrics
Field-level metrics provide deeper insights into how users interact with each individual field in the form.
Focuses
Interactions
Refocuses
Corrections
Drop-offs
Focuses
- Focuses represent the number of times users click or focus on a specific field.
- This helps identify which fields attract attention and are most interacted with.
Interactions
- Interactions represent the number of users who enter data into a field after focusing on it.
- Comparing focuses vs interactions helps identify fields users click but do not complete.
Refocuses
Refocuses occur when users:
- Click on a field
- Move away
- Return to the same field again
High refocus rates may indicate confusion or uncertainty about the required input.
Corrections
Corrections represent the number of times users modify or re-enter data in a field.
This usually happens when users:
- Enter incorrect data
- Face validation errors
- Are unsure about the expected format
High corrections indicate usability or clarity issues.
Drop-offs
- Drop-offs represent the number of users who leave the form after interacting with a specific field.
- Fields with high drop-offs are strong indicators of friction and should be prioritized for optimization.
Filled vs Blank Fields
This section helps you understand how users interact with optional and required fields.
Filled Fields
Blank Fields
Filled Fields
Fields that users complete during form interaction.
Blank Fields
Fields that users skip without entering any data.
If certain fields are frequently left blank, it may indicate:
- The field is not important to users
- The field is unclear or unnecessary
Hesitation and Time Metrics
These metrics help identify delays and effort required while filling out the form.
Hesitation Time
Hesitation Time measures the delay between when a user focuses on a field and when they begin typing.
High hesitation may indicate:
- Confusing labels
- Lack of clarity
- Uncertainty about required input
Total Time
Total Time represents the average time users spend completing a specific field.
Fields with high completion time may:
- Require too much effort
- Need simplification
- Require better instructions
Filter and Segment Your Form Reports
Form Analytics allows you to filter and segment your data to analyze specific visitor groups and understand behavior patterns more effectively.
Smart Segmentation
Advanced Segmentation
Smart Segmentation
Smart segmentation provides predefined filters to quickly analyze form performance across common audience groups.
You can segment data based on:
- Visitor type (new vs returning)
- Device (desktop, mobile, tablet)
- Traffic source (direct, organic, referral, paid)
This helps quickly identify performance differences across user groups.
Advanced Segmentation
Advanced segmentation allows you to create custom filters using specific conditions.
You can segment users based on:
- Location (country, region)
- Device and browser
- User behavior (visits, time spent, interactions)
- Campaign or traffic source
- Custom-defined attributes
This enables deeper analysis and more targeted optimization.
Best Practices
To improve form performance using these insights:
- Simplify fields with high drop-offs and hesitation time
- Fix validation issues in fields with high corrections
- Remove or optimize frequently skipped fields
- Reduce form length where possible
- Use segmentation to optimize for different audience groups
We’ve designed this documentation to guide you every step of the way. If you need further assistance or have any questions, don’t hesitate to contact us at support@zohopagesense.com - we’re always here to help!
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