Hey {{first_name}}
My mom tells people I “do websites”.
Not going to lie, in my biased opinion that is the eCommerce equivalent of saying a chef “does food”.
But every time I try to explain what conversion rate optimisation is, she gives me the same polite little nod and smile, then waits patiently for me to stop talking.
Fair enough.
So, Mom, here is the explanation I should have given you years ago.
eCommerce CRO is the process of finding and fixing things that are wrong with websites to improve three buying behaviours.
At Blend, we call these three buying behaviours the Buy Trifecta:
Buy Now: turn more suitable visitors into customers.
Buy More: help each customer choose a more valuable order that still makes sense.
Buy Again: give the right customers a reason and an easy route to return.
The three work together. A discount could increase Buy Now while reducing Buy More. A buy more save more discount could improve the Buy More but reduce the chance of Buy Again.
So CRO has to look at the whole buying system.
The Buy Trifecta answers the first question:
What commercial behaviour needs to improve?
Then comes the second:
How does the customer experience need to improve it?
Every customer-facing change on an eCommerce website affects one or more of three things.
Messaging: what the customer understands, believes and expects.
Merchandising: which product, price, offer, bundle or buying option they are shown.
Mechanics: how easily they can find, choose, buy, manage or repeat the action.
That is our M Trilogy.
In other words… the website needs to say the right thing, present the right buying option and make the next step easy.
The Buy Trifecta is the what.
The M Trilogy is the how.
And the CRO is what connects them.
Imagine a valuable product page has plenty of mobile traffic but a terrible Add to Cart rate.
That locates the pressure in Buy Now. Diagnosis still needs to establish what to change.
The cause could sit in:
Messaging, because visitors cannot tell whether the product is right for them or when it will arrive.
Merchandising, because the pack sizes, variants or buying options make the choice harder to judge.
Mechanics, because a selector is awkward, a required choice is easy to miss or the buying controls behave badly on mobile.
One commercial symptom. Three very different explanations.
That is why the analysis comes before the ideas.
How a CRO audit works
First, we use Shopify’s commercial data and reliable behavioural data to find the Metric on Fire: the metric creating the greatest commercial damage.
Then we locate where that revenue leak concentrates.
Is it mainly new mobile visitors? One acquisition channel? A group of high-value product pages? Cart progression? Customers failing to place a second order?
That turns “I think our conversion rate is low” into a defined part of the customer journey.
Next, we examine what customers encounter there. Depending on the evidence available, that can include the interface, competitor patterns, click and scroll behaviour, attention and session evidence, customer questions, reviews, surveys and onsite search language.
Each source answers a different question. The strength comes from seeing where the evidence agrees.
For example:
the data shows low Add to Cart progression among new mobile visitors on a your PDP;
the page places delivery and returns information well below the buying controls;
scroll evidence shows relatively few sessions reach that section;
customer-service conversations repeatedly include delivery and returns questions.
Now we know what needs improving (Buy Now), how the experience needs attention (Messaging and Mechanics), where it happens (valuable PDPs for new mobile visitors) and why it deserves attention (several sources point to the same unresolved decision).
Only then do we develop the recommendation and hypothesis.
The proposed change needs a customer rationale, a primary metric and guardrails for the commercial outcomes we need to protect.
We compare it with every other evidenced opportunity using proof, ease, cost, time and impact potential.
That gives the business a prioritised list of improvements/experiments to run first.
The chosen work is designed, built, QA-tested and then rolled out in controlled environment to measure the impact.
The resulting data then enters the learning library, helping to improve the next decisions.
Commercial problem → evidence → interpretation → hypothesis → priority → live change → measurement → learning
And that is how CRO compounds.
Chat soon,
Peter
P.S. If your store has traffic and sales data but your team cannot confidently say what deserves fixing first, book a CRO Mapping Call.
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