How To Get Checkout Page Data

Modified on Wed, 17 Jun at 1:36 AM


The Statistics tab in your product settings shows you everything customers entered in your checkout form — names, emails, addresses, custom fields, and more. It's your complete record of who visited checkout and what information they provided.

This guide shows you how to access that data, interpret it, export it for analysis, and use it to improve your checkout and follow-up strategy.


Why Checkout Data Matters

What you get:

  • Every person who visited your checkout page
  • All the information they entered (Name, Email, Phone, Address, custom fields, etc.)
  • Whether they completed the purchase or abandoned
  • Timestamps of when they submitted the form

Why it's valuable:

  • Lead capture — even if they didn't buy, you have their email to follow up
  • Customer insights — see which fields cause friction (high drop-off at Address = shipping concerns?)
  • Data verification — confirm that your form is capturing the right information
  • Segmentation — export the data and segment by company, location, purchase status, etc.
  • Compliance — you have a record of what you collected and when

Understanding Your Statistics Tab

The Statistics tab shows four key metrics:

Total Form Submissions

Count of everyone who submitted the checkout form (whether they completed payment or abandoned).

Example: 150 form submissions = 150 people reached checkout.

Completed Purchases

Count of submissions that resulted in a successful payment.

Example: 120 completed out of 150 submissions = 80% conversion rate.

Abandoned Carts

Count of submissions without completed payment.

Example: 30 abandoned out of 150 = 20% abandonment rate.

Form Field Data

All the individual fields customers entered: Name, Email, Phone, Address, Company, custom fields, etc. Displayed in a table format.


Step-by-Step: Access Checkout Data


Step 1 — Go to Your Product

Navigate to Products and click on the product whose checkout data you want to view.


Step 2 — Open the Statistics Tab

In the product settings, click the "Statistics" tab.


You'll see:

  • Total form submissions
  • Completed purchases
  • Abandonment rate
  • A table of all submitted data by field


Step 3 — View the Form Data Table

The table displays every field your checkout form collected, row by row. Each row is one form submission.

Columns include:

  • Name, Email, Phone (standard fields)
  • Address, City, State, Zip (if you collected them)
  • Any custom fields you added to the form
  • Submission timestamp (when they filled it out)
  • Purchase status (completed or abandoned)



Step 4 — Export the Data as CSV

To download the data for analysis in Excel, Google Sheets, or your CRM:

  1. In the Statistics tab, click "Export CSV"
  2. A file called something like product_data_2026-06-17.csv downloads to your computer
  3. Open it in Excel or Google Sheets

What's in the CSV:

  • All columns from the form data table
  • Every row of submissions (all-time, unless filtered)
  • Ready to sort, filter, and analyze

Step 5 — Close the Statistics Tab

Click the "Close" button when you're done viewing the data.


Common Situations & Quick Fixes


"My Statistics tab is empty — no data showing."

  1. Is your checkout page published? (Data only appears after real submissions on live pages.)
  2. Have you actually had form submissions? (If you haven't had visitors, there's nothing to show.)
  3. Check if the form was recently added — allow 5–10 minutes for first submissions to appear.


"The export CSV file is huge (50,000+ rows)."

You have that many form submissions (impressive!). To manage it:

  • Filter by date range before exporting (last 30 days instead of all-time)
  • Or export monthly (one file per month) instead of all at once
  • Or use a more advanced analytics tool designed for large datasets


"I exported CSV but some fields are blank."

Those fields were optional on your checkout form, so some customers skipped them. This is normal. If you need that data:

  • Make the field required in form settings
  • Or accept that it's optional and plan your follow-up accordingly


"Email addresses in the CSV don't match what my autoresponder shows."

The Statistics tab shows raw data (exactly what customers typed). Your autoresponder may:

  • Auto-correct/clean emails (remove spaces, lowercase, etc.)
  • Flag invalid emails and exclude them
  • Show a different filter than "all submissions"

Compare the counts: if Statistics shows 100 submissions but your autoresponder shows 85 contacts, the other 15 likely had invalid/duplicate emails.


"Can I delete old data from Statistics?"

Not directly — the Statistics tab is a read-only archive. You can't delete individual rows. If you need to remove sensitive data (GDPR, privacy requests), please submit a ticket and we can help.


"The CSV has duplicate emails — how do I deduplicate?"

In Excel/Sheets:

  • Use Data → Remove Duplicates (Excel)
  • Or Data → Filter → Unique (Google Sheets)
  • Then manually review which duplicate to keep (most recent submission vs. earliest)


"I can't see the 'Export CSV' button."

Make sure you're in the Statistics tab (not General Settings or Price Settings). The button should be visible in the data table section.


Data Privacy & Best Practices

  • The data is sensitive. It contains customer email addresses and potentially addresses, phone numbers, etc. Keep the CSV secure (don't email it, use password protection).
  • You're responsible for compliance. GDPR, CCPA, and other privacy laws require you to delete customer data on request. Keep a log of export dates and data deletions.
  • Regular audits. Monthly, review the data for quality (typos, incomplete fields, test entries). This helps you spot and fix form issues early.
  • Segment by consent. If you collect opt-in consent (checkbox), mark those customers separately. Only email those who agreed.

Statistics vs. Other Reports

ToolShowsBest For
Statistics Tab (this article)Raw form field data, all submissionsExporting customer data, auditing form quality
Product Reports DashboardConversion rates, revenue, visitor flowHigh-level performance metrics, revenue tracking
Rules & WebhooksAutomated actions (who got added to email list, etc.)Tracking automations, debugging rule triggers
Rules & AutomationsConversion funnels, abandonment ratesUnderstanding where customers drop off

Use Statistics to see the raw data. Use Product Reports to understand the big picture.



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