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Waarom

Most businesses leave 50–200% potential revenue on the table. Optimizing your funnel is like rearranging a store layout to sell more—same customers, better results

Slechts 39,6% van bedrijven heeft een gedocumenteerde conversie-optimalisatiestrategie

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Probleem

Veel websiteverkeer, weinig aanvragen of verkopen

Advertenties kosten geld, maar leveren nauwelijks op

Lijkt afhankelijk van toeval in plaats van een systeem

We zijn te afhankelijk van één kanaal of mond-mond

Oplossing

Advertentiekosten dalen naarmate je website beter converteert

Verhoog conversies en Meta, TikTok, SEO presteren beter

Beperkte tijd en budget renderen meer met CRO

Hogere RPU verhoogt advertentie-ROI en schaalbaarheid

Bedrijven als de Bijenkorf en NS investeren tot 15% van hun marketingbudget in conversie-optimalisatie

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Oral-care brand

The client is best known for at-home LED whitening, but sells a broader oral-care range: kits, strips, toothpaste, serums, brushes, and bundles, with sensitivity and enamel-support positioning. Acquisition was strong. Growth was being fueled heavily by social commerce and creator-driven demand (notably TikTok Shop momentum). The issue: traffic quality and conversion weren’t the only levers left. As the assortment expanded and promotions/bundles proliferated, the experience started leaving money on the table. Too many visitors bought a single hero item (or hesitated), while post-purchase friction—subscription control, returns, shipping certainty—quietly taxed margin and repeat rate.

The challenge

Could we turn a fast-growing DTC oral-care brand into a more profitable, repeatable routine business, while reducing the support and fulfillment friction that was quietly eating margin?

Pin-pointing the problem (research + what we found)

We ran a blended sprint: funnel teardown (ad → PDP → cart), merchandising + offer audit across the catalog, and voice-of-customer mining around results expectations, sensitivity concerns, delivery certainty, and subscription control.

The insight: the brand was winning attention, but the site wasn’t consistently converting that attention into a routine-led basket. In short, RPV lagged behind demand because cross-sell, bundling logic, and “what to buy next” decisioning weren’t tight enough at the moment of purchase.

The solution (what we implemented)

We built a routine-first growth system designed to do two things at once: increase basket quality and remove margin leaks from avoidable support + fulfillment friction.

What we implemented

  • Routine-led architecture (not product-led browsing)
    We reframed entry points around outcomes and cadence: Start (whiten) → Maintain (daily) → Protect (sensitivity/enamel)—so the hero product naturally expanded into a routine.
  • Bundling logic that earns AOV
    We rationalised bundles and promos into a small set of predictable, high-converting “routine bundles” with clear trade-ups (good / better / best), reducing choice noise while lifting basket value.
  • Decision support at the moment of purchase
    Plain-language guidance on results timelines, sensitivity fit, and “what happens next” so customers could commit with confidence—and stop bouncing at checkout.
  • Operational clarity baked into the experience
    Delivery certainty, subscription control, and returns pathways were made visible before they became support tickets—reducing refund pressure and protecting margin.
Impact
  • +16% lift in conversion on priority product pages
  • +18% AOV via routine bundles + cart add-ons

Innovative Solutions for bold brands

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