Analytics That Respect Privacy and Still Improve Conversion

Start with a measurement plan

Every tag and event should trace back to a question in the plan. If nobody will act on a metric, do not collect it.

Privacy obligations

• The Data Privacy Act's principles of transparency, legitimate purpose and proportionality apply to analytics that process personal information.
• Describe analytics and cookies in your privacy notice in plain language.
• Where consent is your basis for processing, it must be freely given, specific and informed; the National Privacy Commission's Guidelines on Consent (Circular No. 2023-04) explain what that requires.
• Visitors from other countries may bring stricter consent requirements.

Data minimization in practice

• Never send names, email addresses or phone numbers in URLs, page titles or events; Google Analytics' policies prohibit sending such information.
• Strip query parameters that could contain personal data before they reach analytics.
• Record that a form was started, submitted or failed, never what people typed.
• Set the shortest data retention period that still supports your reporting needs.
• Turn off data sharing settings you do not need.
• Limit who can access analytics, and remove access when people leave.
• Avoid session recording on pages with forms, or make sure inputs are masked.

Consent handling

• Offer equally easy choices to accept or reject non-essential cookies, with categories where useful.
• Load non-essential tags only after consent, or use Google's consent mode so tags adjust their behavior to each visitor's choice.
• Record consent choices and let visitors change them at any time.
• Test that tags actually respect choices using the browser's developer tools.

Configuration checklist

• Separate production from preview and test environments, and never track test traffic as real visitors.
• Exclude internal traffic.
• Use consistent event names and document them.
• Mark only meaningful actions as conversions.
• Keep an inventory of every tag: purpose, owner, data collected and consent category.

Metrics that improve conversion

• Inquiry rate by landing page and by device.
• Form completion rate and validation errors per field.
• Clicks on calls to action by position.
• Site search terms that return no results.
• Visits to pages that return 404.
• Page speed on mobile devices.
• Qualified lead rate by channel, reported in aggregate from the CRM.

Improving conversion ethically

• Fix the usability problems the data reveals before redesigning anything.
• Test changes one at a time, and avoid manipulative designs such as hidden options or false urgency.
• Make forms shorter and clearer, and explain what happens after someone submits them.
• Remember that accessible design usually improves conversion for everyone.

Complements to tag-based analytics

• Aggregated server log analysis.
• Privacy-focused analytics tools that avoid cookies.
• Short, optional feedback questions on key pages.
• Conversations with the sales and support teams who talk to customers.