Helping 1.2 million monthly shoppers compare prices faster across the web while improving revenue and product click-through.

Product Designer
CEO / PM, CTO, data scientist, backend, web, and iOS engineers

Realry helps 1.2 million monthly shoppers compare prices across the web. I redesigned the journey to make that value easier to reach.

My focus was navigation and conversion: understand why users were dropping off, make product discovery feel familiar, and move more shoppers confidently toward a partner store.

Four moments were sending shoppers off course.

Landing page hierarchy

Users were leaving before reaching products because the AI feature dominated the hero while the core shopping experience sat below the fold.

  • +The value proposition was not immediately clear
  • +AI editorial content appeared before products
  • +High-intent shopping paths were visually buried

Unintuitive search

Search terms unexpectedly launched an AI conversation, interrupting a familiar shopping behavior and creating a major drop-off point.

  • +Search and AI shared one interface
  • +Keywords triggered chat instead of results
  • +The search bar disappeared after leaving AI

Category navigation

A non-standard category structure made browsing feel uncertain and repeatedly sent shoppers to dead ends.

  • +Category buttons looked like filter tags
  • +Subcategory pages resembled product listings
  • +Back navigation returned users to the homepage

Hidden price comparison

Realry's most valuable feature was difficult to see, while prescriptive recommendations actively discouraged conversion.

  • +Price insights required extra exploration
  • +Related products broke the conversion path
  • +Do not purchase messaging removed user agency

A fast redesign with no throwaway work.

6 weeks

A full platform redesign ahead of an investment pitch.

Web + iOS

Traffic was split almost evenly across desktop and mobile.

Built in parallel

Reusable components had to support both products from day one.

Discovery & audit

Analytics review

Competitive analysis

Honey, ShopBack

Design exploration

Daily CEO reviews

Design system

IBM Carbon foundation

Handoff

Close developer pairing

A/B testing

Measure and iterate

Make the fastest path feel like the obvious one.

Put products before technology

I moved the AI experience into a floating entry point so it could stay visible without blocking shopping. The homepage gained intent-based collections and a larger brand showcase, giving users more relevant ways into the catalog.

Separate search from AI

Product search returned to a familiar, persistent pattern. Suggestions now surface products and stores directly, turning a point of friction into an additional path to partner revenue.

Make hierarchy visible

A persistent navigation menu replaced ambiguous category pills. The overlay makes location and hierarchy clear, while a new store directory supports shoppers who browse by retailer rather than product type.

Inform decisions instead of making them

Best-price badges and a complete list of offers made comparison immediate. I replaced blocking recommendations with neutral market context, helping shoppers understand the tradeoff and choose for themselves.

Less friction, more value.

Measured through a three-week A/B test.

+17%

+23%

+39%

+50%

+28%

-10%

The metric needs to match the product's job.

Efficiency beats engagement

Average session duration fell by 15% while click-out increased. For a shopping aggregator, helping people find the right option faster is a better signal than keeping them on the site.

Validate before over-engineering

I designed a detailed advanced filter, but heatmaps showed fewer than 4% of users touched it. A smaller MVP would have tested the need sooner and protected design time.

A click is not the end of the journey

Popular products drove more click-outs, but some users returned within seconds when inventory was unavailable. The next product opportunity is real-time stock visibility.