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Acentecom

Sales funnels for a house of direct-to-consumer wellness brands

From March to July 2026 I worked in Acentecom’s Product & Tech team as a Senior E-commerce Developer. Acentecom builds and runs its own wellness brands, and every brand sells through its own funnels.

I built the front end of those funnels: landing and sales pages, checkout, upsells and post-purchase pages, from Figma designs and templates, on Shopify and CheckoutChamp.

Role:
Senior E-commerce DeveloperContract
Scope:
Landing & sales pagesCheckout & upsellsQuizzesA/B testsQA
Team:
Product & TechCreativeCRO
Stack:
ShopifyCheckoutChampHTMLCSSJavaScriptAI tools

What the work involved

Each brand – hair care, a GLP-1 patch, drainage drops, a gut cleanse, joint chews for dogs, skin balms – sells through its own funnel. Pages are built, tested and replaced often, so speed mattered as much as precision.

  1. Context

    Acentecom is a house of brands, not an agency: brand, creative, product, media and technology are all in-house. The funnels are where its brands make their sales.

  2. The funnel, end to end

    Complete customer journeys, page by page:

    • Landing and sales pages
    • Checkout
    • Upsells
    • Post-purchase pages
  3. From Figma to page

    Figma designs, copy, images and templates turned into responsive pages, on phone first, since most visitors arrive there.

  4. Checkout and offers

    Offer blocks with bundles, subscriptions and limited-time discounts, wired into the checkout on CheckoutChamp so each choice reaches the cart correctly.

  5. Quizzes and interactive steps

    Custom quizzes and interactive funnel steps where a brand needed them, so a visitor’s answers shape what they’re offered.

  6. Testing and QA

    A/B tests and funnel experiments set up and supported. Before every release, responsiveness, checkout behaviour and funnel logic checked on phone and desktop.

  7. What this shows

    • Front-end delivery where the page itself is the product
    • One layout system carried across many brands
    • AI tools used daily, with every change reviewed and tested by hand

Principles

What every funnel page held to.

  • Phone first

    Most visitors arrive on a phone; every page was built and checked there first.

  • Checkout you can trust

    Every offer and option reaches the cart exactly as shown.

  • Reusable sections

    Offer, journey, comparison, proof and FAQ blocks shared across brands.

  • Built to be tested

    Pages structured so sections and variants can be swapped for A/B tests.

  • Reviewed, not just generated

    AI speeds up the work; a person still reads, tests and fixes the code.

In detail

Six parts of the work, and how each was approached.

1. One page system, many brands

Hair care, patches, drops, chews and balms share the same funnel sections: offer, journey, comparison, reviews and FAQ.

Each brand changes the colours, type and imagery; the structure underneath stays the same, so a new brand page starts from working parts.

2. The offer block

The part of the page that sells: bundle sizes with per-unit prices, subscribe-and-save, a discount deadline and the add-to-cart button.

Built to read at a glance on a phone and to pass the chosen bundle straight into checkout.

3. Choices that change the offer

On the dog chews, the visitor picks their dog’s weight and a plan, and the offer updates to match.

The same pattern carries over to quizzes: a few questions, then the product and plan that fit.

4. Long stories, made scannable

Week-by-week journeys, ingredient lists and how-to steps carry a lot of copy.

Laid out as timelines and steps with images beside them, so they read in seconds on a phone.

5. Proof sections

Comparison tables, survey results, expert quotes and customer reviews, built as modules a page can add, remove or reorder.

Each one lays out cleanly from desktop down to the narrowest phone.

6. Test, check, release

Variants of headlines and sections set up for A/B tests, and every release checked for responsiveness, checkout behaviour and funnel logic.

AI tools drafted code faster; every change was still reviewed and tested by hand before it went live.

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