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Case study · CRO & Experimentation

Lindt

Conversion optimization and personalization for a premium chocolate e-commerce — run as an always-on experimentation program where every change earns its place.

RoleCRO & Experimentation
ScopeA/B testing · Personalization · PDP
ToolsAdobe Target · Adobe Sensei
FocusConversion & personalization

Overview

Grow conversion on a premium brand — without ever cheapening it.

Lindt is a brand built on craft and quality, and the store has to feel like it. My job was to lift conversion and average order value through disciplined experimentation and personalization — making the experience better for shoppers, not just more aggressive.

Everything ran on evidence: hypotheses, tests, significance, then roll-out.

The challenge

On a brand-led store, taste and conversion can pull in opposite directions.

Aggressive CRO tactics risk eroding a premium feel. We needed lifts that respected the brand, held up to statistical scrutiny, and could be defended in a number — not a vibe.

And it had to be repeatable: a program, not a one-off redesign.

What I owned

The surfaces that decide the sale.

01

Product-page optimization

Reworked the surfaces that close the sale — hierarchy, content and CTAs on the product page.

02

Experimentation program

Hypotheses, A/B tests in Adobe Target, and clean experiment analysis to call winners with confidence.

03

Personalization

Adobe Sensei product recommendations tuned to real behaviour, not guesswork.

Approach

Read, test, personalize.

  1. 01

    Read the behaviour

    Used customer behaviour and analytics to find where the funnel leaked and which pages mattered most.

    AnalyticsBehavioural insight
  2. 02

    Test the hypothesis

    Designed variants, ran them in Adobe Target, and judged them on statistical significance — winners only.

    A/B testingAdobe Target
  3. 03

    Personalize & scale

    Rolled winners out and layered Sensei-driven recommendations to tailor the experience per shopper.

    Adobe SenseiPersonalization

Outcome

A repeatable conversion engine, not a one-off redesign.

A/B-ledEvery change validated by test
PersonalizedAdobe Target + Sensei
PDP-firstOptimized where the sale happens
Always-onContinuous experimentation

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