Service
Experiments that move revenue per visitor — not just button colors.
Conversion rate optimization grounded in research, run with statistical discipline, and implemented properly in Shopify. We find where the funnel leaks, test what is most likely to matter, and measure the outcome in revenue.
Best for
Brands with enough traffic to test meaningfully, and a sense that product pages, cart or checkout are underperforming.
Typical scope
A conversion audit and test roadmap, or an ongoing experimentation program with design and build included.
Works with
Your design, merchandising and development teams, and testing tools such as Intelligems or Shoplift.
Tools
Intelligems · Shoplift · Shopify & Shopify Plus · Checkout Extensibility · GA4 · BigQuery · Microsoft Clarity · Liquid · JavaScript
Common problems
Why most CRO programs stall.
Tests chosen by opinion
Ideas come from the loudest voice in the room rather than research or data.
Conversion rate as the only metric
A test lifts conversion and lowers average order value. Nobody notices until margins shrink.
Results no one trusts
Underpowered tests, peeking at results, and broken tracking produce “wins” that never replicate.
Slow build cycles
Every variant needs a developer, so the program runs one test a quarter.
Checkout treated as off-limits
Cart and checkout friction goes unexamined because it feels too risky to change.
Capabilities
A complete experimentation capability.
Research & analysis
Understand where and why visitors drop off.
- Funnel analysis by device, channel and segment
- Heuristic and UX reviews
- Session recordings and on-site surveys
- Revenue-per-visitor measurement
Strategy & prioritization
Test the things most likely to matter.
- CRO strategy and hypotheses
- Experiment prioritization by impact and effort
- Test roadmap and calendar
- Sample-size and duration planning
Testing & implementation
Build tests that are fast and accurate.
- A/B testing design and setup
- PDP and landing-page testing
- Price, offer and shipping threshold tests
- QA across devices and browsers
Cart & checkout
The highest-intent steps in the funnel.
- Cart optimization and drawer design
- Upsells and cross-sells
- Checkout optimization within Shopify Extensibility
- Payment and trust signal review
In practice
Experimentation starts with observed customer behavior and ends with a decision: ship, revise, or stop.
Led
Clarifying a product-page purchase decision
Redesigned a buy-box hierarchy using heatmaps, session recordings and competitor research, tested it, and made the winner the baseline for subsequent tests.
Led
An always-on experimentation program
Running a continuous testing program across a commerce and subscription funnel — product pages, cart, checkout and offers — with results read in revenue per visitor and order value.
Led · implementation coordinated
Raising cart value without adding friction
Took a cart upsell from hypothesis through testing to wider rollout. The goal was higher cart value; the constraint was no new checkout friction and no confusion about purchase options.
Anonymized examples from the founder’s work. Client names, figures and identifying details are withheld. Each label shows whether the work was implemented directly, led, or delivered with development and agency partners.
What you get
- Conversion audit with funnel analysis and quantified drop-off points
- Prioritized hypothesis backlog with expected impact and effort
- Designed and built test variants, QA’d before launch
- Test readouts that report revenue per visitor, conversion and AOV together
- Implementation of winning variants in the theme
- A learning library so insights compound across tests
Why it matters commercially
More revenue from existing traffic
Improvements in revenue per visitor lower the cost of every acquisition channel.
Decisions backed by evidence
Changes are tested before they are rolled out, so you stop guessing.
Margin-aware optimization
Measuring revenue per visitor and AOV prevents wins that quietly cost money.
A program that keeps running
Fast build and clear prioritization keep tests in market continuously.
Engagement approach
Research first, then a steady testing cadence.
Programs typically reach a regular testing rhythm within the first month.
Discover
Audit the funnel, tracking accuracy and current experience across devices.
Output Conversion audit
Prioritize
Turn findings into hypotheses ranked by impact, confidence and effort.
Output Test roadmap
Execute
Design, build, QA and launch tests in your testing tool.
Output Live experiments
Optimize
Read out results honestly, ship winners, and feed learnings into the next tests.
Output Test readouts
Questions we hear often
How much traffic do we need to run tests?
It depends on your conversion rate and the size of change you want to detect. We calculate this before any test launches. Where traffic is too low for reliable A/B tests, we use research-led improvements and before-and-after measurement instead — and say so.
Why revenue per visitor instead of conversion rate?
Revenue per visitor captures both how many people buy and how much they spend. A change that increases conversion but lowers order value can reduce revenue; RPV makes that visible.
Can you test in Shopify checkout?
Within the limits Shopify allows. Checkout Extensibility supports UI extensions and some testing approaches on Shopify Plus; we design tests that stay within the platform’s rules.
Find out where your funnel is leaking.
Share your store and the part of the journey that worries you most. We’ll tell you what we would look at first.