Privacy-first analytics for e-commerce
See which sources and pages bring paying customers, and where the checkout funnel loses them, without cookies or a consent banner slowing the sale.
The challenge
- Cookie consent banners get declined and interrupt the path to checkout
- Setting up e-commerce and revenue reporting in Google Analytics is manual and heavy
- Ad blockers hide a share of paying customers from conventional analytics
Problems we built for, and where we stop
What this audience runs into, read from the research, not a pitch.
“decisions about landing pages, content and ad spend are being made from numbers with a messed up denominator”
What we do: Every pageview carries a bot label with a reason code; the dashboard shows the top reasons held back.
Where we stop: We label and do not block. Three reason codes fire today. A label is a statement about a signal, not a verdict. Reason-per-bot is not unique: Swetrix, Rybbit and PostHog show one.
“my tag broke and I found out weeks later”
What we do: An automatic notice when a reliably active site goes quiet.
Where we stop: Total silence only, not a drop or a partial break.
How VeritaMetrics helps
Revenue and funnels, past the pageview count
Attribute revenue to source, campaign, and page, and watch the checkout funnel step by step to see exactly where orders drop off.
Nothing to decline at checkout
Cookieless by design, so there is nothing for a visitor to decline. Most customers run checkout without a consent banner; whether you need one depends on your country and your other tools.
Keep more of your real orders
First-party, ad-blocker-resilient tracking captures visits that a blocked Google Analytics script never sees.
Fast pages, measured
A ~8KB script keeps product pages quick, and opt-in Web Vitals shows the real speed your shoppers experience.
Other use cases
Privacy-first analytics for e-commerce
A lightweight script that sets no cookies.