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Promo / discount / referral codes

Validate and apply codes

Standard(offers config)

In one sentence

What it is

Validate and apply promotional, discount and referral codes at basket and checkout, backed by a full range of discount mechanics — so trading teams can run offers without engineering support.

How it works

What it does

Codes are validated in real time against the offers configuration and applied to the basket with the saving shown clearly. Behind them sits a full set of mechanics: fixed amount, percentage, tiered discounts by spend or quantity, RRP-based reductions, free gifts and samples. Offers are configured by the trading team, can be restricted and scheduled, and combine with the wider promotions toolkit — on-site voucher widgets, promoted-product sliders and the rewards wallet — so a campaign can be built and launched without a release.

The problem it solves

Why it matters

For the brand

Promotion is the primary lever for hitting a trading number, and it's usually needed at short notice. If every mechanic requires development, the team is limited to the handful of offers someone built years ago — and margin gets given away through blunt sitewide discounting because nothing more targeted is available.

For their customers

A code that silently fails, or applies without showing the saving, destroys trust at the most sensitive moment. Many shoppers leave checkout to hunt for a code and never come back.

For shoppers

How it benefits shoppers

  • Codes work immediately, with the saving shown clearly in the basket.
  • Clear feedback when a code doesn't apply, instead of an unexplained failure.
  • Progress toward threshold offers is visible, so 'spend a little more and save' is an informed choice.
  • Referral rewards actually arrive, which is what makes recommending the brand worth doing.

For the brand

How it benefits the brand

  • Trading teams launch offers without engineering involvement

    Time to launch a promotion

  • Targeted mechanics protect margin versus blanket discounting

    Discount depth, gross margin

  • Tiered and threshold offers lift basket size deliberately

    Average order value

  • Referral codes acquire customers at lower cost than paid media

    Customer acquisition cost

  • Code failures stop causing checkout abandonment

    Checkout completion rate

In practice

What it looks like

  1. 1

    A shopper pastes a referral code from a friend into the basket.

  2. 2

    It validates instantly and the saving appears as a line in the totals.

  3. 3

    A message notes that spending a little more unlocks the next tier, and they add another item.

  4. 4

    At checkout they also apply points from their rewards wallet against the remaining balance.

Where it lands hardest

Strong use cases by industry vertical

  • Health, wellness & nutrition

    Bundle and tiered mechanics suit stack-building and multi-month supply, and pair naturally with subscription discounts.

  • Beauty & personal care

    Free gift and sample mechanics are the category's defining promotion — sampling drives trial of the next purchase, not just this one.

  • Food, drink & FMCG

    Quantity-based and multibuy mechanics mirror how the category has always been merchandised; codes and thresholds do most of the work.

  • Pet care

    Spend thresholds on bulky, heavy orders shift shoppers to larger, more efficient baskets — good for margin and for shipping economics.

  • Fashion & apparel

    The most promotion-intensive category, with constant seasonal markdown; RRP-based mechanics and scheduling matter most here.

  • Luxury & premium lifestyle

    Use with restraint. Public discount codes damage a luxury position; the appropriate use is private, restricted codes for VIP and referral audiences.

Common questions & objections

What clients usually ask

Why the platform version wins

Offers, loyalty points and subscription discounts all resolve in the same basket against the same totals — so a customer can stack a referral code with their points balance and see one coherent saving, rather than hitting the conflicts that separate promotion and loyalty apps produce.