Submission analysis: key metrics to optimize your forms
Discover the essential metrics for analyzing your form submissions and improving your conversion rates. Practical guide with concrete examples.
Arthur
Submission analysis: the metrics that truly matter for your growth
You receive submissions every day. Contact forms, quote requests, newsletter signups. But what do you actually do with this data? Without structured submission analysis, you’re missing valuable information.
Collecting is only the first step. Analyzing means transforming raw data into strategic decisions. And for that, you need the right metrics.
In this article, we identify the indicators that make the difference. No vanity metrics. Only metrics that guide your actions and improve your results.
Why submission analysis changes everything
The trap of dormant data
A Forrester study reveals that 73% of data collected by companies is never analyzed. It sits in databases, unexploited. A considerable waste.
Your forms generate submissions. But if you just store them without analyzing:
- You ignore what your prospects really want
- You repeat avoidable mistakes
- You miss conversion opportunities
- You invest in poorly performing channels
What structured analysis reveals
By examining your submissions methodically, you discover:
- The sources that generate the best leads
- The times when your audience is most active
- The obstacles blocking conversions
- The unexpressed expectations of your users
These insights aren’t accessible without the right metrics.
Metric #1: Completion rate
Definition and calculation
The completion rate measures the percentage of visitors who finalize a form after starting it.
Formula: (Successful submissions / Forms initiated) x 100
Why this metric is fundamental
A form can receive a lot of traffic but few submissions. The completion rate reveals this reality.
Let’s take a concrete example:
- 1,000 visitors access your contact form
- 400 start filling it out
- 120 submit it
Your completion rate is 30%. This means 70% of interested people abandon along the way.
Benchmarks by form type
| Form type | Average rate | Optimal rate |
|---|---|---|
| Simple contact (3-4 fields) | 65-75% | > 80% |
| Quote request | 45-55% | > 60% |
| Newsletter signup | 70-80% | > 85% |
| Satisfaction survey | 25-35% | > 45% |
| Multi-page form | 15-25% | > 35% |
If your rate is below averages, it’s a warning signal.
Metric #2: Average completion time
What it measures
The time between the first click on a field and final submission. This metric reveals your form’s perceived complexity.
The lessons to draw
An overly long completion time indicates:
- Confusing or poorly labeled fields
- Too many questions
- A need to search for information (the visitor must find a number, a reference)
- Interface problems
Recommended targets:
- Contact form: < 1 minute
- Quote request: < 3 minutes
- Complete survey: < 5 minutes
Beyond that, abandonment risk increases exponentially.
How to use this data
Compare completion time with your abandonment rate. If both are high, simplify your form.
With Skedox, you visualize these metrics in real-time and quickly identify problematic forms.
Metric #3: Submission analysis by source
Definition
The distribution of your submissions by origin: organic search, paid advertising, social media, email marketing, direct links.
Why it’s strategic
You invest time and money in different channels. This metric tells you which ones are working.
Key questions to ask:
- Which source generates the most volume?
- Which source produces the most qualified leads?
- What is the cost per submission for each channel?
Example analysis
Imagine your results over a month:
| Source | Submissions | Qualified leads | Qualification rate |
|---|---|---|---|
| Google Ads | 200 | 40 | 20% |
| 50 | 25 | 50% | |
| SEO | 150 | 60 | 40% |
| Newsletter | 80 | 48 | 60% |
Raw volume favors Google Ads. But the qualification rate shows that newsletter and LinkedIn produce better quality leads.
This analysis guides your marketing investments.
Metric #4: Abandonment rate by field
What it reveals
The exact point where your visitors drop off. This metric identifies problematic fields.
The usual culprits
According to a Formstack study, the fields that cause the most abandonments:
- Phone number: +37% abandonment
- Full postal address: +28% abandonment
- Date of birth: +22% abandonment
- Complex multiple choice fields: +18% abandonment
Corrective actions
For each problematic field, ask yourself: is it really necessary for first contact?
- Make sensitive fields optional
- Use autocomplete when possible
- Explain why you’re asking for certain information
- Offer alternatives (e.g., “email or phone”)
Metric #5: First response delay
Definition
The time between receiving a submission and your first interaction with the prospect.
The impact on your conversions
Research published by InsideSales.com demonstrates that:
- Responding within 5 minutes multiplies conversion chances by 9
- After 10 minutes, qualification probability drops by 400%
- Beyond 24 hours, the lead is often lost
Every minute counts in the race for the lead.
Targets by submission type
| Request type | Target delay | Maximum delay |
|---|---|---|
| Demo request | < 5 minutes | 30 minutes |
| Sales contact | < 15 minutes | 1 hour |
| Customer support | < 30 minutes | 2 hours |
| Job application | < 24 hours | 48 hours |
Skedox allows you to configure automatic alerts as soon as a submission exceeds your response threshold. No more excuses for letting a lead go cold.
Metric #6: Submission quality
How to measure it
Quality is defined by your business criteria. But some indicators are universal:
- Completeness: percentage of optional fields filled
- Relevance: fit with your target (B2B vs B2C, industry, company size)
- Intent: clarity of the expressed request
- Validity: usable data (valid email, correct phone)
Submission scoring
Assign a score to each submission based on these criteria:
| Criterion | Points |
|---|---|
| Professional email | +2 |
| Optional fields filled | +1 per field |
| Detailed message | +3 |
| Company identified | +2 |
| Budget mentioned | +5 |
A lead with a score above 8 deserves priority attention. Below 4, it can be handled later.
Automate sorting
Rather than treating all submissions the same way, automate routing based on score:
- High score: immediate notification to sales team
- Medium score: automatic response email + follow-up within 24h
- Low score: automated nurturing
Metric #7: Post-submission conversion rate
What it measures
The percentage of submissions that turn into customers or desired actions (appointments, sales, signups).
Why it complements other metrics
A form can generate many submissions without producing business results. This metric reveals the truth.
Formula: (Final conversions / Total submissions) x 100
Analysis by funnel stage
Break down your conversion tunnel:
- Submission received
- First contact established
- Qualification completed
- Proposal sent
- Conversion achieved
Identify the stage where you lose the most prospects. That’s where your biggest improvement opportunity lies.
Building your submission analysis dashboard
Essential data to centralize
For effective analysis, consolidate in one tool:
- All your submission sources (forms, feedback, newsletters)
- Metadata (source, device, location)
- Timestamps (creation, modification, processing)
- Follow-up actions (responses, conversions)
Recommended analysis frequency
| Metric | Tracking frequency |
|---|---|
| Submission volume | Daily |
| Completion rate | Weekly |
| Source analysis | Weekly |
| Lead quality | Weekly |
| Final conversion rate | Monthly |
Tools and automation
Manual analysis is tedious and error-prone. Prefer a platform that:
- Centralizes all your submissions
- Automatically calculates metrics
- Generates alerts on anomalies
- Allows export for in-depth analysis
5-step action plan
Here’s how to implement your submission analysis:
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Audit your current forms: How many do you have? Where are they? What data do they collect?
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Define your priority metrics: Start with 3-4 indicators maximum. Add more when you’ve mastered the first ones.
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Centralize your data: One tool for all your forms. No more dispersion.
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Configure your alerts: Define the thresholds that trigger a notification.
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Iterate monthly: Analyze results, test hypotheses, measure impact.
Conclusion: submission analysis guides your decisions
The metrics presented in this article transform your approach to data collection. No more blind decisions. Make way for factual analysis.
To summarize the metrics that truly matter:
- Completion rate: your forms’ effectiveness
- Completion time: perceived complexity
- Source analysis: your channels’ performance
- Field abandonment: friction points
- Response delay: your team’s responsiveness
- Submission quality: leads’ actual value
- Final conversion: business impact
Each metric gives you a precise view of one aspect of your collection. Together, they form a complete management system.
Ready to move from passive collection to structured submission analysis? Discover Skedox and access a unified dashboard for all your forms, newsletters, and feedback. Real-time metrics, customizable alerts, easy export.
Your submissions contain answers. It’s time to ask the right questions.