Wayfair Externship · Product Marketing Case Study

Turning raw market signals into a category go-to-market strategy.

As a Business Intelligence AI Agent Engineer for Wayfair's Rugs category, I built the research and content pipeline a product marketer would use to size a trend, benchmark competitors, and ship on-brand content, then used it to deliver Wayfair's actual GTM narrative for the shag rug category.

9.59%
Shag category CAGR identified
$130.6B
Projected category size by 2033
5
Connected AI systems shipped solo
Role & the problem

The rugs category team had no fast way to turn signals into strategy.

Trend discovery, competitive benchmarking, and content production were three disconnected, manual workflows. Trends were spotted late, competitor pricing and assortment gaps went unmeasured, and turning either into publish-ready content took days. I built and operated a connected AI research pipeline to close that gap, then used it to produce Wayfair's actual market and competitive intelligence for the shag rug category.

#1
unmet need identified in the category: washable shag. Maintenance worry is still what stops a high-pile sale from closing, a clear whitespace Wayfair hasn't answered yet.
Strategy & process

A four-stage intelligence-to-content pipeline, four connected AI systems.

01

Trend & demand research

social & market signals → automated trend report

Built an agent that scans Instagram, Pinterest, and industry blogs to surface emerging rug design trends automatically. Headline finding: shag is shedding its "70s retro" stigma and re-emerging as a premium "sensory wellness" category, with Luxury Cloud, Modern Playful, and Moroccan-Inspired shag as the fastest-moving micro-segments.

02

Competitive intelligence

raw product data streams → business intelligence report

Orchestrated multi-retailer scrapers into one schema, benchmarking Wayfair against Amazon and Walmart on price, assortment, and ratings across 48 Wayfair, 6 Amazon, and 10 Walmart products to surface strategic whitespace.

03

Positioning & messaging synthesis

trend + competitive data → category narrative

Combined both reports into a single strategic read: Wayfair's premium pricing is earned, not just charged, and "washable" is the one conversion lever Amazon owns that Wayfair hasn't claimed.

04

Content & enablement

market + competitor intel → execution-ready content

Built an agent that ingests both reports and converts them directly into publish-ready marketing collateral in Wayfair's brand voice, then unified every output into one Category Intelligence Dashboard for the team.

Positioning & messaging

The category narrative the research supported.

Ride the tailwind

No longer niche

Shag is growing at a 9.59% CAGR, on track from $62.9B to $130.6B by 2033, a category tailwind worth building assortment and content around now.

Justify the premium

The price gap is earned

Wayfair's high-pile and faux-fur options hold 4.5–5 star ratings, proof that the $932 average price point against Amazon's $89 and Walmart's $51 reflects real quality, not just markup.

Close the gap

Own "washable"

Washable shag is the single biggest unmet need in the category, and the one place Amazon's budget listings currently win the conversation Wayfair should be having.

Competitive intelligence

Benchmarked across 64 products spanning three retailers.

AttributeWayfairAmazonWalmart
Avg. price$932.49$88.83$51.16 (lowest)
Price range$15.99 – $6,150 (broadest)$69 – $102$24.20 – $129.99
Avg. ratingN/A in sample4.5 / 54.6 / 5
PositioningDesign-led, mid-to-luxury, broad materials & stylesPractical, machine-washable, non-slipUltra-budget, high variety, frequent discounts
Cross-functional enablement

Work samples built for the category and content teams.

Research

Shag Rug Trend Report

Automated trend synthesis from Instagram, Pinterest, and industry blog signals, identifying the category's fastest-moving micro-segments.

Competitive Intel

Competitor Analysis Report

Side-by-side benchmarking of Wayfair, Amazon, and Walmart on price, assortment, and ratings across 64 sampled products.

Content Strategy

AI Insights & Content Report

6 content ideas, 3 campaign concepts, a 3-part email nurture series, and 2 video scripts generated from a single intelligence pipeline run, in Wayfair's brand voice.

Reporting

Category Intelligence Dashboard

A unified, execution-ready view combining trend, competitor, and content-engine outputs for the Rugs category team.

Results

A shipped intelligence system, not just a report.

9.59%
category CAGR identified, sizing the opportunity through 2033
64
products benchmarked across Wayfair, Amazon, and Walmart
14
pieces of execution-ready content generated per single pipeline run
5
connected AI systems designed, built, and shipped solo