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Data Analysis
Deep analytics audits that pinpoint where revenue is leaking, then translate the findings into a prioritized roadmap your team can act on.
Talk to an ExpertData Analysis
Deep analytics audits that pinpoint where revenue is leaking, then translate the findings into a prioritized roadmap your team can act on.
Talk to an Expert
Surefoot Delivered
Free Shipping Threshold Study
Free Shipping Threshold Analysis
Orders above the new threshold increase AOV with no margin erosion. Full breakdown by order tier included.
Featured Data Analysis Clients
Surefoot partners with insulated-drinkware brand Hydro Flask on UX research, navigation and product page design, customizer flow refinements for engraving and color personalization, and homepage promotion design. Finished work is handed off to Hydro Flask's internal team for implementation.
A sample of our work
Being able to test our way into our website redesign with Surefoot was a huge help to our team. We launched a new website, with new functionality and an updated brand design direction with reduced risk to our main KPIs. The confidence that comes from being able to test and make data-driven decisions has been a game-changer for our team.
For your team
Share your site and goals. Our founder runs every first call and will tell you whether a testing program is the right fit for your traffic. Backed by 20+ years of running experiments for brands like yours.
Talk to an Expert
Brian Schmitt
Founder, Surefoot
Proof of work
Tools in the stack
Have a question about data analysis that wasn't covered? Our founder runs every first call, so you'll get straight answers from someone who's actually run this before.
Never any obligations, happy to help!
Three things: pre-test diagnostic work (where the funnel is leaking, who is leaking out of it), per-test analysis (clean attribution and segmentation on each test), and analytics implementation help (event taxonomy, GA4 or Adobe migrations, data-layer audits).
Every test gets a dedicated analysis pass before launch (what to measure, how to segment, what would constitute a real win) and another after (whether the result holds under segmentation, what to investigate next). It is not a side-of-desk activity.
The common stack: GA4 or Adobe Analytics, GTM for tagging, Hotjar or Microsoft Clarity for behavior, the testing platform's reporting for in-test results. We use R and SQL for deeper cuts when the off-the-shelf reporting falls short.
We audit it first. Most engagements start with a pass on tagging, event coverage, cross-domain tracking, and sources of data drift. A test program built on bad data produces bad decisions, so the audit pays for itself quickly.
