Three consumer-health brands, live in the US, running on commerce mechanics we built: quiz-led recommendation, subscription, bundle ladders, loyalty. The catalogue is never the hard part. Getting a first-time visitor to the right two products is.
A visitor who cannot tell which of forty SKUs is theirs will leave. Recommendation converts where browsing does not.
For a consumable product, subscription is the retention engine — so plan management belongs in-account, not buried in an email.
A discount ladder applied at the cart does the merchandising, so you stop paying for a banner to do it.
Navigation by problem and regimen rather than SKU type, so a visitor lands on a routine instead of a shelf. This is the single highest-leverage change on most catalogues.
An assessment that maps symptoms, goals and history onto the catalogue and returns a personalised regimen — with an incentive attached, because the answers are worth paying for.
Auto-delivery with real plan management: skip, swap, pause, change cadence. Churn happens where the cancel flow is the only thing that works.
Tiered discounting evaluated in the cart, multi-step regimens sold as one unit, and gift-with-purchase rules that do not require a developer to change.
Points that accrue somewhere the customer can see, welcome bonuses that make account creation a reason rather than a friction step, and tiering that survives contact with finance.
Money-back guarantees, shipping thresholds, certifications and formulation evidence placed at the point of decision instead of decorating a footer nobody reads.
Image-heavy category pages tuned for a mid-range Android on a bad connection, which is where this traffic actually lands and where a slow gallery quietly costs the sale.
Funnel and cohort instrumentation wired at build time, so you can tell which of the above earned its keep instead of guessing at the end of the quarter.
Performance is a number agreed at the start and defended in CI, not something discovered during the launch review.
Card, wallet and local rails wired for the geography you actually sell in, with the failure paths handled rather than assumed away.
Card data never touches our surface. Tokenised throughout, with the boring, auditable version of every flow.
Server-rendered product and collection pages, clean canonicals, structured data — organic is too expensive to retrofit.
Usually not. Most of the gain is in merchandising, the recommendation layer and performance, all of which can be built on the platform you already pay for.
Yes. We are frequently the engineering half next to an existing brand or performance team, and we are comfortable owning only the parts we are best at.
A focused scope — quiz, subscription or a merchandising rebuild — is typically four to eight weeks. A full storefront is longer and we will say so before you commit.
Tell us the problem rather than the solution. We will tell you whether this is the right service for it, including when it isn't.