Twenty-five pieces of work, shown in full

With the numbers left in — including the parts that went backward and the recommendations we reversed.

Client names are withheld throughout. Where a matter is live or a party is identifiable, the write-up covers method and economics only.

Twenty-five engagements written up in full — the range, not the highlightsDistressed e-commerceTurnaround diagnosisCatalog and product data~300,000 itemsMarketplace operationsAmazon and WalmartWebsite performanceSpeed and structureSocial researchTen-year datasetBook productionSeventeen titlesMarket researchSector studiesDocument analysisAt volumeBar length shows relative depth of the written case, not revenue.
Twenty-five written up in full — including the ones that did not work, which are usually the more useful read.
Twenty-five engagements written up infull — the range, not the highlightsDistressed e-commerceTurnaround diagnosisCatalog and product data~300,000 itemsMarketplace operationsAmazon and WalmartWebsite performanceSpeed and structureSocial researchTen-year datasetBook productionSeventeen titlesMarket researchSector studiesDocument analysisAt volumeBar length shows relative depth of thewritten case, not revenue.
Twenty-five written up in full — including the ones that did not work, which are usually the more useful read.

We get your products sold

Catalogs, listings, marketplaces, search visibility, competitive position. Whatever you sell, we find out why it is not selling and what it would take.

Assessment & remediation

A design retailer, crawled properly

A Shopify storefront for a designer home-goods brand. What a full technical crawl found, and why the first crawl produced numbers that were not real.

444 URLs crawled · 60-page report · 154 false errors caughtRead the case →
Cultural institution

An art museum with three front doors

A regional art museum running content, ticketing and retail on separate systems, and what that split costs before anyone writes a word of copy.

55-page assessment · 3 domains · 9 dimensions scoredRead the case →
Marketplace strategy

Should a heritage brand sell on Amazon?

An unsolicited analysis for a well-known outdoor brand that does not sell direct on Amazon, built from the platform’s own search data.

938,986 search terms analyzed · 20 slides · 6-month build costedRead the case →
Distressed business assessment

What is still worth something?

A twenty-one year old e-commerce business four days from filing. Five years of financials, six marketplace channels, and what was genuinely hard to rebuild.

21 yrs of trading · 6 channels · 4 days to the filingRead the case →
Machine learning advisory

A machine learning analysis for Monster.com

Two open questions from a vice president: what the candidate journey could reveal, and whether ML would improve resume-to-job matching.

56 pages · 3 implementations documented · 1 build argued downRead the case →
Competitive research

The research that reversed our own recommendation

A client wanted to cut a very large catalog. Ten years of their own order data said the opposite.

88.3% sold exactly once · 75.8% of revenue in the tailRead the case →
Catalog & product data

Three hundred thousand products nobody could describe

Recovering metadata that had never been connected, and a revenue analysis that reversed itself.

96.9% matched to source · 2.1% of titles to specRead the case →
Site performance & SEO

A 300,000-item catalog, and the work of making it findable

Page speed, crawl budget, index coverage, feed and metadata work, and the regression the re-test caught.

273,807 records matched · 36% of crawl recoveredRead the case →
Market entry

Entering a market you have never sold into

Market entry research for a home furnishings line — sizing, positioning and channel.

Nine charts · full market buildRead the case →
Museum assessment

Found by More Than Its Name

A content and social plan. The next audience is searching for the art, not the name.

12,726 searches · 3 plans compared · 4.0x returnRead the case →
Retail & gallery assessment

Who frames with the company, and where they find art

A framing house founded in 1879, and how it becomes an art destination online.

147 years · 3 kinds of buyer · 6 findingsRead the case →
Candidate search study

34 Days to Page One

What voters find when they search a candidate’s name, and a 34-day plan to change it.

34 days · 4 debates · 24-hour answer clockRead the case →
Sales & marketing diagnostic

A frozen food maker that stopped growing

The ethnic grocery channel is rising and this company is flat. A 4-week diagnostic to find the leak and prove the fix.

$40M company · 4 weeks · 6 numbers to watchRead the case →

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