Pizza Hut - Deals Page Optimization

Pizza Hut - Deals Page Optimization

Pizza Hut - Deals Page Optimization

Redesigning how customers discover, compare, and choose deals through research-led experimentation.

Redesigning how customers discover, compare, and choose deals through research-led experimentation.

Impact

$7.5M - $11.3M Estimated

Timeline

6 months

Role

Senior Product Designer

Tools

$7.5M - $11.3M Estimated

Duration

6 months

Impact

$7.5M - $11.3M Estimated

Role

Senior Product Designer

01

PROJECT OVERVIEW

Improving conversion by making deals easier to understand.

Pizza Hut's Deals page was a high-traffic, revenue-driving experience, but customers struggled to understand and compare offers. As promotions expanded, inconsistent hierarchy and limited deal information made choosing an offer unnecessarily difficult.


Rather than pursuing a complete redesign, I identified an opportunity to improve the experience through focused, measurable changes to how deals were presented.

My Role

Led UX strategy and design, partnering with Product, Research, Merchandising, Engineering, and CRO to translate customer friction into a phased experimentation strategy.

Deals Page - Before

02

APPROACH & USER RESEARCH

Start with evidence, not assumptions.

Before designing anything, I synthesized existing heuristic evaluations, usability studies, and CRO findings to identify where customers were struggling.


Across the findings, one pattern stood out: customers often had to open individual deals just to understand what they included.

A closer look at the journey.

Customers repeatedly moved between the Deals Page and Deal Builder to understand what was included and compare offers.

03

THE CHALLENGE

Pressure to redesign everything.

Research pointed toward foundational usability improvements, but leadership and franchise stakeholders wanted a more ambitious redesign that would modernize the Deals experience and improve conversion.


I explored several directions, and though the concepts generated excitement, conversations with CRO partners surfaced a critical tradeoff: changing too many elements at once would make it difficult to isolate what was actually driving performance.

  1. Bento Layout

Alternative ways to organize deals.

  1. Carousel-Led Merchandising

More prominent featured deals and hierarchhy.

  1. Dynamic Promotional Experience

Create a more expressive, campaign-driven Deals Page.

04

THE PIVOT

From a big redesign to a
phased experimentation strategy

Instead of choosing between a bold redesign and incremental improvements, I reframed the work as a phased AB experimentation strategy.

Each phase isolated one behavioral variable, allowing the team to learn what actually improved customer decision-making before layering in richer merchandising, branding, and personalization.

05

EXECUTION

Small component.
Significant impact.

Phase 1 started with the deal tile, improving information hierarchy, deal clarity, and price visibility before extending those principles across the page.

The result was a clearer approach to featured offers, browsing, and comparison.

Deal contents (New)Bold deal titleProduct imageryProminent pricingClear CTA

Four directions. One winning experience.

I explored four layouts to test how hierarchy and browsing patterns influence deal discovery, then partnered with Product and CRO to bring them into experimentation.

Winning VariantFeatured-first hierarchy

Hypothesis

Clearer deal information would reduce exploratory clicks and improve conversion.

From design to experiment

Partnered with Product and CRO to align on test requirements, success metrics, and launch the experiment in Optimizely within two weeks.

Metrics Tested

CVR, CTR, RPV, AOV

06

RESULTS

Clearer deals. Measurable commercial impact.

The featured-first approach emerged as the winning direction, improving promotional hierarchy and making deal information easier to evaluate.

Before

  • Deal contents hidden until entering the builder

  • Repeated exploratory clicks to compare offers

  • Limited visual hierarchy

After

  • Deal summaries surfaced directly within each tile

  • Faster value comparison during browsing

  • Clearer promotional hierarchy

PHASE 1 EXPERIMENT RESULTS

Exploratory CTR

-0.76%

Fewer exploratory interactions indicated stronger decision confidence and less comparison effort.

Conversion Lift

+1.4%

Clearer deal comprehension translated into stronger downstream conversion.

Revenue per visitor

+0.86%

Customers generated more value despite spending less time exploring.

Average Order Value

-0.73%

High-value offers naturally attracted more attention, creating an opportunity to improve merchandising distribution in future iterations.

THE BIG PICTURE

Improving discovery created commercial value - without a full redesign.

Phase 1 demonstrated that improving the fundamentals of deal discovery could drive meaningful commercial impact. It also established a validated foundation for future experimentation across discovery, merchandising, and personalization.

07

WHAT'S NEXT

From clearer deals to smarter discovery.

Phase 1 proved that clarity improves decision confidence. The remaining roadmap focused on layering discovery, merchandising, and personalization without reintroducing cognitive load.

  1. Foundation

Full browsing interface with easy deal comprehension.

  1. Discovery

Focus on the deal categorization and easy and occasion selection.

  1. Merchandising

Feature the promotional heroes, branding, expressive tags, and campaign cards.

  1. Personalization

Show the recommendation modules and personalized offers.

08

reflection

Clarity changed behavior.

THINGS I BELIEVE NOW

Start smaller than you think.

The biggest improvements came from strengthening the smallest building block of the experience.

Measure customer behavior, not just clicks.

Metrics rarely tell the full story in isolation. Lower exploratory clicks initially appeared negative, but customer behavior revealed this was due to greater customer confidence and reduced decision friction.

Build systems, not screens.

The most valuable outcome wasn't a single winning interface, it was an experimentation framework the team could continue learning from.

For the love of making things.

Have something in mind? I'd love to hear about it.

For the love of making things.

Have something in mind? I'd love to hear about it.

For the love of making things.

Have something in mind? I'd love to hear about it.