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01/26CASE STUDY · Buy Page · Conversion · Personalisation · 2026

TV Buy Page Optimisation

TV optimisation strategy for the Samsung eStore — redesigning the premium TV buy page (with a focus on the 2025 Neo QLED range) into a seamless, mobile-first, conversion-led journey.

Client

Samsung Electronics · Cheil

Role

Lead UX/UI Designer

Duration

Jan 2026 · Heuristics · Metrics · CMI Research · Prototyping

Platform

Desktop · Mobile

Outcomes — A/B tested in production

Note: the full PDP redesign was not shipped end-to-end. Components were validated as isolated A/B tests on the live Samsung site.

TV size upsell

+9.6%

+4,200 units / test window

55" shoppers moving to 65"+

Finance uptake — Neo QLED

+4.3%

+1,900 finance plans

during A/B exposure on range

User sign-in (free delivery)

+17.2%

+38,500 account sign-ins

incentivised at checkout

FIG. 01 — Premium TV buy page redesign: desktop and mobile-first journey for the 2025 Neo QLED range.
FIG. 01 — Premium TV buy page redesign: desktop and mobile-first journey for the 2025 Neo QLED range.

Current performance of Samsung premium TV sales is below the business target. As direct selling via the Samsung eStore is one of the most critical channels for SEUK, it's essential to continually improve the customer experience and encourage more customers to purchase the latest Samsung premium TVs directly from the eStore. The goal is to optimise the buying experience — ensuring a seamless, mobile-first and customer-centric journey that increases engagement and sales, with a particular focus on the premium 2025 Neo QLED range.

Behavioural data confirmed and quantified the heuristic findings — most of the page is invisible to most customers.

Scroll-depth funnel

First view
100%
Past fold
75%
Mid-page
28%
Bottom features
9%
+20%

Attention on top-of-page features vs bottom

16%

OLED buyers also buy a soundbar (vs 11% QLED)

65→55→75

Cross-size journey before checkout — price comparison

Click heatmap — share of clicks

Product imagery / gallery
10.2%
Colour & variant selectors
6.4%
Finance / price area
3.1%
Add-ons block
1.2%

Section 13

Design Challenges & Key Developments

Four problem/solution pairs that shaped the system end-to-end.

  1. Right-Hand Column Hierarchy
    01

    Right-Hand Column Hierarchy

    Problem

    On the live page the right-hand column mixes payments, finance, customisation and RTBs without a clear priority. Finance options — a known conversion lever — are buried, and customers can't see the full cost picture above the fold.

    Solution

    Re-ordered the right-hand column around the buying decision: price and finance first, then customisation (size, colour, model), then add-ons and reasons-to-buy. Finance terms are exposed as a primary message, not a secondary link, on both mobile and desktop.

  2. Mobile-First Feature Scannability
    02

    Mobile-First Feature Scannability

    Problem

    Feature content is dense and reads like a spec sheet. With only 28% of visitors reaching the middle of the page and 9% reaching the bottom, most customers never see the differentiators that justify the premium price.

    Solution

    Condensed feature blocks into scannable cards, led by the top-ranked CMI priorities (display, picture, sound, smart). The most differentiating Neo QLED features are pulled above the fold; deeper specs are progressively disclosed for users who want them.

  3. Add-Ons in the Right Moment
    03

    Add-Ons in the Right Moment

    Problem

    Add-ons (soundbars, wall mounts, care plans) sit in a position on the page where they don't get seen and don't get clicked — despite clear research evidence (16% of OLED buyers also buy a soundbar) that the attach opportunity is real.

    Solution

    Three patterns prototyped: inline soft bundles directly under the CTA, a grouped 'easy shopping' module, and an add-ons interstitial between PDP and basket. Each pattern is tested against attach rate so add-ons are surfaced where customers are already deciding.

  4. Behaviour-Led Personalisation
    04

    Behaviour-Led Personalisation

    Problem

    Every customer — first-time visitor, repeat visitor, loyalty member, basket abandoner — sees the same page. The page can't react to what the customer already knows or what they've already done.

    Solution

    A modular personalisation layer with rules for when and how to swap content blocks. Loyalty members see point-earning prompts, repeat visitors see re-prioritised features, and price-sensitive flows (cross-size traffic) surface the Price Promise earlier. The template stays the same — the priority shifts.

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