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Children's specialty sock ecommerce (a New York specialty retailer) · B2C ecommerce: sold to parents and gift buyers · Small Business
Ecommerce OptimizationConversion Optimization
Lift revenue across the full shopping lifecycle.
Ecommerce optimization is conversion optimization applied to the full shopping lifecycle – collections, product pages, cart, checkout, and post-purchase – for a store, not a single landing page or campaign. It diagnoses where shoppers who already arrived ready to buy get stopped by the store itself, then fixes and tests that path as an ongoing program.
We optimize your commerce stack across the full RFM lifecycle – from first visit to repeat purchase: more conversions, higher AOV, and loyalty that holds against Amazon.
Is this your problem?
Five signs your ecommerce problem is the store, not the ads.
- Paid traffic converts worse on your site than industry benchmarks for the same spend.
- Cart abandonment is high specifically at a step inside checkout, not at the “add to cart” decision itself.
- Average order value has been flat for more than two quarters despite merchandising changes.
- Product pages get traffic and engagement but a low add-to-cart rate for that traffic.
- You’ve increased ad spend to compensate for a falling conversion rate rather than diagnosing why it fell.
If three or more of these are true, the store itself – not the acquisition channel – is where revenue is leaking.
Ecommerce optimization vs. Shopify – what’s actually different. Ecommerce optimization is a capability: the discipline of improving collections, product pages, cart, and checkout for any ecommerce store, regardless of what it’s built on. Shopify is a platform: one specific piece of software a store might run on, alongside Magento, BigCommerce, WooCommerce, or a custom build. “Ecommerce optimization” describes the work; “Shopify” describes the environment the work happens in. A Shopify store gets ecommerce optimization the same way a Magento store does – the difference is which theme, apps (Klaviyo flows, checkout extensions), and platform constraints the work has to account for.
Proof
Where this was the actual fix.
Real engagements tagging Ecommerce Optimization, problem first, then what changed and what it demonstrated.
The problem
Shoppers arrive ready to buy - and the store gets in their way.
In ecommerce the gap between traffic and revenue is visible at every step. A product page buries the one detail that closes the sale - it has to help the customer decide, not merely describe the product. A cart gets abandoned the moment shipping cost appears. A checkout demands an account before it will take an order - the closer a step is to revenue, the less room there is for ambiguity. Each one quietly turns a ready buyer into a bounce.
Most stores react to this by buying more traffic, when the cheaper revenue is already on the site and walking out. Without measuring where it leaks - and which leak costs the most - the fixes go to the loudest opinion instead of the biggest drop-off, and the same money keeps walking.
What it actually is
Conversion optimization applied to the whole store.
Ecommerce optimization is the practice of getting more revenue from the shoppers your store already has - improving each step they take from product page to paid order, without buying more traffic.
It's the same conversion discipline, applied to the parts of a store that move money: merchandising and product detail pages, cart, checkout, recovery flows, and promotions. The work is understanding why a shopper hesitates at each step - and removing the friction, validated by tests on real buyers rather than guesses about them. I came up through ecommerce directly: I built and sold online stores before moving upstream into optimization, so this isn't theory - it's the room I started in.
How we do it
It runs through the loop - Discover, Prioritize, Experiment, Learn.
Ecommerce optimization is the core loop of the Experience Optimization Framework, run across the store. We Discover where shoppers drop off - which product pages, which cart, which checkout step - Prioritize the leaks by revenue at stake and effort, Experiment to prove a fix on live buyers, then Learn from every result and feed it into the next round. Each cycle builds on the last, so the store's revenue per visit compounds instead of plateauing.
This is ground I've worked for 26 years - building and selling stores, then optimizing them, including alongside ecommerce veteran Simon Gorman. Across 100+ ecommerce brands and 50+ Shopify stores, the pattern is consistent: the question that looks settled - guest checkout or forced account, where to place the shipping offer - is exactly the one a quick test answers for real money. Take the free-shipping decision below: the same offer framed three ways behaves very differently at the cart.
What you get
Every step from product page to paid order, worked as a program.
Merchandising, product and listing pages, cart, checkout, recovery, and promotions - diagnosed, prioritized, and improved as a continuous program, with drafts for your review before anything goes live on the store.
Acquisition efficiency
Traffic qualityLanding & PLP
Conversion efficiency
PDPCartCheckoutRecovery
Revenue expansion
Upsell / Cross-sellAOV
Retention compounding
Loyalty
The technology
The platforms we connect, not the ones we sell.
We don't sell software. Ecommerce optimization runs on the platform you already trade on - Shopify and the analytics, testing, and recovery tools around it, with 50+ Shopify stores' worth of experience behind the wiring - then extended with custom AI. We make the stack you already pay for work harder.
ShopifyBigCommerceAdobe CommerceOptimizelyMonetateQuantum Metric
One capability, one system
Ecommerce gets sharper as the rest runs.
It's not a standalone service. Every other capability feeds it - and it feeds them back. The same loop, the same data, one connected system.
Conversion Rate Optimization (CRO)Find and close where revenue leaks across the funnel.
ExperimentationTurn one test into a continuous, prioritized program.
PersonalizationThe right experience for the right visitor, at the right moment.
CDP & Customer DataUnify your data into one view you can act on.
AI Marketing SystemsCustom AI that accelerates every part of the system.
AI Search OptimizationStay visible as search shifts to answer engines.
Powered by our AI Marketing Systems layer.
The proof
Prove the claim at the point of doubt
Alex really knows his stuff! The first split test he recommended for our ecommerce store resulted in a big win.
Great consulting call. He went a few minutes beyond what I paid for and was just hammering out golden nugget tip after golden nugget. We talked about optimising a specific ecommerce landing page I just launched.
Related reading
Go deeper on ecommerce.
Common questions
Common questions about ecommerce optimization.
Guest checkout or forced account creation?
It's exactly the question that looks settled but a quick test answers for real money. We prove it on live buyers rather than guess.
How do you lift AOV without discounting everything?
Across the RFM lifecycle - upsell and cross-sell, merchandising, and the framing of offers like free shipping, each tested at the cart.
Which platforms do you work on?
Shopify, BigCommerce, and Adobe Commerce, with the analytics, testing, and recovery tools around them.
See whether the method fits your business.
A 30-minute consultation to look at where you are and where the opportunity is. No pitch deck.
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