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Specialty Food / E-commerce

Sweet Sushi

Sweet Sushi (Specialty Food / E-commerce): Rebuilt a candy-sushi brand on Shopify, optimized for mobile conversions.

Overview

Sweet Sushi is a candy-sushi brand that sells online through a Shopify store. The work covered the store, the checkout and the email follow-up. The closest industry page we have is restaurants, which covers direct orders.

Client

Sweet Sushi

Sector

Specialty Food / E-commerce

Restaurants

What we build for this trade →

The problem

A specialty food brand with real fans and a checkout that leaked them — traffic arrived, carts filled, orders didn't.

Food businesses lose margin when the order happens somewhere they do not control; our restaurant work aims at direct orders instead of a quarter of the ticket going to someone else.

Our front-end work is optimized for speed and conversion, and on a store, conversion means the checkout, not just the page.

Re-engagement flows that run on their own are how a first order turns into a second.

What we built

We rebuilt the store around the order: faster pages, a two-step checkout, and email flows that bring a first-time buyer back for a second box.

How the work ran

This is how we run every engagement. It describes the process, not a timeline for this project.

The audit

We map what you already run and show you where it leaks. You keep the map either way.

The plan

What we would change, in what order, what it costs, and what number we will judge it on. You approve before anything is built.

The build

Each piece goes live on its own, so you see progress weekly instead of waiting for a big reveal.

The run

Managed, measured, month to month. Every channel judged on what a booked job costs you.

Builds are quoted once and built once; retainers you can stop any month. The full process and the published prices: How we work.

How we measure it

Every engagement is measured the same way. We capture a baseline at go-live: sessions, calls, form submits, and how many became scheduled jobs. Then we compare the before and the after on equal windows, or we publish nothing.

There is no result figure on this page. A number goes on this site only when it traces to a source we can open on a call, and we will not print one we cannot source. The numbers we do publish, and the rule behind them: Results.

Questions

Is there a long-term agreement?No. Month to month. No twelve-month agreement as a substitute for results. Builds are quoted once and built once; retainers you can stop any month.
How do you measure results?We capture a baseline at go-live: sessions, calls, form submits, and how many became scheduled jobs. Then we compare the before and the after on equal windows. If we cannot source a number, it does not go on the site.
Do you use AI on this kind of work?Where it makes the work better, yes - and a person is accountable for every deliverable. What we disclose, how we handle your data, and where a person always has the last word is written down in our AI Charter at /ai-charter.

Read the full charter: The AI Charter.

Let’s build yours.

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