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Case Stories Ecommerce Cut + Clarity

The analytics and CRO groundwork a jewelry brand needs before it scales.

Cut + Clarity is a New York jewelry brand built around personalization: custom name necklaces, charms, birthstone pieces, the kind of jewelry people buy to mark something. They came to us for paid and conversion work, but the account was still early, the tracking could not be trusted, and the funnel leaked. So before chasing scale, we did the groundwork: we fixed the measurement, watched how real people used the site, mapped exactly who and where the customers were, and tightened the path that turns a visit into a sale.

cutandclarity.com
Cut + Clarity site
+125%
unique product-page views
After the rework, on higher-intent traffic
~20%
of orders from one state
New York, where the data found the demand
2
Klaviyo flows mapped
Welcome and abandonment, ready to launch
4
on-site pop-ups designed
To capture emails and re-engage
01 The Story 02 The Challenge 03 The Approach 04 The Results 05 Takeaways
01 · The Story

A brand built on personal meaning.

Cut + Clarity is a New York jewelry brand, and almost everything they sell is personalized: custom name necklaces, charms, birthstone pieces, the gold you buy to mark a name, a date or a person. It is a lovely thing to sell, and a hard thing to sell well online, because the customer is rarely an impulse buyer. They consider, they come back, they want it to be right.

They came to us for paid advertising and conversion work, wanting growth. But when we looked under the hood, the honest read was that the account was not ready to be scaled yet. There was a more useful job to do first.

So we agreed to do that job properly. Not a vanity number, but the boring groundwork a brand actually needs before it pours money into ads: trustworthy measurement, a real understanding of the customer, and a funnel that does not leak.

02 · The Challenge

You cannot scale what you cannot trust or see.

The first problem was the measurement itself. When we audited the account, the conversions were being counted off Shopping-app events rather than proper native goals, which meant the numbers were overcounting and could not be trusted. If the data is wrong, every decision built on it is wrong too.

The second problem was the funnel. The site asked the customer to work too hard: navigation that was not predictable, no filters to narrow a large catalogue, and product pages that did not show the pieces the way people wanted to see them. For a considered purchase, every bit of friction costs you.

And underneath both, there was no clear picture of the customer. They were paying for traffic without really knowing who was buying, from where, or what was selling. You cannot point a budget at the right people if you have never mapped who they are.

03 · The Approach

Fix the measurement, read the user, map the demand, mend the funnel.

First · Measurement

a Make the data worth trusting

Nothing else is worth doing until the numbers are honest, so we started there. We moved conversion tracking off the unreliable Shopping-app events and onto proper native goals through Google Tag Manager, so a purchase counted once, as a purchase, and the account finally reported what was really happening.

It is the dullest work there is, and the most important. Every recommendation that follows in this story rests on the fact that, from this point on, the data could be believed.

Conversion tracking rebuilt on native goals, so every decision after this ran on numbers we could trust.

Ongoing · Observe

b Watch how real people actually shop

We set up Hotjar and watched real sessions, week after week, instead of guessing. The recordings were full of useful, human detail: people leaning on the search bar because the navigation was hard to predict, zooming into product photos that were too small, coming back across many visits before they committed.

One recording showed someone adding several rings engraved with the same name to the cart, a small signal that there was a gifting and a male-shopper audience we were not really speaking to. Another visitor came back dozens of times across a couple of days, searching by specific product name each time, which is exactly what a slow, deliberate, high-consideration purchase looks like up close.

That changed how we thought about the whole funnel. The job was not to rush anyone, but to make it easy for a considering buyer to come back, find the piece again, and finally commit. We turned every one of these observations into a backlog, so watching became a to-do list instead of a nice anecdote.

Real session recordings turned into a concrete backlog of fixes, not just interesting stories.

Ongoing · Map

c Find out exactly who and where the customers are

Then we used the analytics to draw the map the brand had never had. We found the geography concentrated hard: New York alone drove close to 20% of all orders, with California next at 13.7%, then New Jersey, Texas and Virginia. That tells you where to spend and where to ship from.

We broke the customers down by age and gender against both revenue and conversion rate, so we could see which segments actually paid their way and which only looked busy. And we found that a single hero product was carrying close to half of all revenue, which is a risk and an opportunity at the same time.

The calendar mattered too. The brand's strongest stretch ran in the spring, around April and May, while January and February were the quietest, which tells you when to lean in with budget and promotions and when to ease off. Knowing the rhythm of the year is half of planning a small brand's spend.

None of this is exciting, but it is the difference between advertising to everyone and advertising to the people who actually buy.

A real customer map: ~20% of orders from one state, the top segments, the seasons, and the hero product.

Then · Funnel

d Take the friction out of the page

With the map in hand, we went after the funnel. We reconstructed the navigation bar so the categories were predictable, recommended filters so people could narrow a large catalogue, and reworked the product pages around bigger, clearer images, because the recordings showed people straining to see the detail of a personalized piece.

The product-page rework was the clearest win. Against the old version it pulled 95% more page views and 125% more unique page views, and although average time on the page fell about 25%, that was the good kind of drop: people found what they needed faster, on a page that was easier to read. More of the right traffic, working less hard to buy.

The reworked product page drew +125% unique views and read more easily, on higher-intent traffic.

Then · Retain

e Build the engine that brings people back

Because this is a considered purchase, the email and on-site capture matters as much as the first visit. We mapped two full Klaviyo flows, a welcome sequence to warm new subscribers into the brand and an abandonment sequence to recover the carts people left behind, both built from competitor research and best practice rather than guesswork.

We designed a strategy of four on-site pop-ups, each placed for a specific moment in the journey rather than firing the same generic discount at everyone. And we tested as we went: an early survey offered a gift card to learn about purchase intent, but the recordings and responses told us people were still too cold at that point to answer honestly, so we replaced it with a softer one that actually fit where the visitor was in their journey.

Two Klaviyo flows and a four-pop-up strategy, corrected by a survey that told us when we were asking too much, too soon.

04 · The Results

A brand that finally understood itself.

We will be honest about what this engagement was, because that honesty is the point. It was not a campaign that tripled a return on ad spend overnight. It was the groundwork, and for a brand at this stage that is worth more.

At the end of it, the tracking could be trusted, so every future decision had solid ground to stand on. The brand had a real map of its customers: the states that drove the orders, the segments that paid their way, the seasons that mattered, and the hero product carrying the business. The product page was clearer and pulled 125% more unique views on higher-intent traffic, and a retention engine of email flows and pop-ups was designed and ready to catch the demand.

That is the plain truth of growing an ecommerce brand. Before the scaling, before the headline numbers, somebody has to make the data honest, learn the customer, and mend the funnel. We did that for Cut + Clarity, and it is the part most people skip.

05 · Takeaways

The boring work is usually the work that matters.

It is tempting to judge an account only by its return on ad spend, but a number like that is only as real as the tracking underneath it, and only as repeatable as your understanding of the customer. Skip the groundwork and you are just guessing with a bigger budget.

With Cut + Clarity we did the part that does not make a flashy headline: we made the measurement honest, we learned who the customer really was, and we took the friction out of the funnel. That is the foundation everything profitable is built on.

We are a team that would rather tell you the truth about where your account stands and fix it properly than sell you a number that does not hold up. That patient, analytical, conversion-first way of working is exactly what the name on our door is meant to mean.

Key improvements
  • Conversion tracking rebuilt on native goals via GTM
  • Hotjar recordings turned into a fix backlog
  • Demand mapped by state, segment and season
  • A single hero product identified in the data
  • Navigation reconstructed for predictability
  • Product page reworked, +125% unique views
  • Two Klaviyo flows mapped: welcome and abandonment
  • A four-pop-up capture and re-engagement strategy

If you are about to spend on ads before your tracking, your funnel and your customer picture are sorted, this is almost exactly the position Cut + Clarity was in.

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