零售市場研究公司

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The retailers pulling ahead treat retail market research as a P&L instrument, not a reporting function. They connect shopper behavior, competitive moves, and assortment decisions inside a single evidence chain. That chain compounds. Each decision sharpens the next.

What follows is the operating logic used by the strongest merchandising, category, and DTC teams working across North America, Europe, and Asia. It draws on four decades of SIS International Research engagements with brands and retailers navigating market entry, private label pressure, and omnichannel economics.

Shopper Journey Analytics That Actually Predict Basket Behavior

Most journey maps describe what happened. The useful ones predict what a shopper will do at the next touchpoint given what they did at the last. That shift, from descriptive to predictive, is where shopper journey analytics starts paying for itself.

The mechanism is sequencing. When search, store visit, app open, and basket build are stitched to a single identity, category managers can see which touchpoint order produces the highest attach rate and which produces cart abandonment. Walmart, Target, and Ahold Delhaize have restructured category reviews around this sequencing logic, giving suppliers scorecards tied to path-to-purchase performance rather than shelf lift alone.

SIS International Research has found across ethnographic studies and in-store shop-alongs in the US and UK that shoppers exposed to a branded digital touchpoint within 48 hours of a store trip convert at materially higher rates on adjacent categories, not just the searched SKU. That adjacency lift is where omnichannel merchandisers find hidden margin.

Retail Competitive Analysis Beyond Price Scraping

Price intelligence platforms have commoditized the easy layer of retail competitive analysis. The differentiated layer is competitor intent: which SKUs a rival is defending, which they are exiting, and which they are using as loss leaders to pull traffic into higher-margin adjacencies.

Reading intent requires human intelligence work. Mystery shopping programs, structured interviews with former category buyers, and supplier-side triangulation reveal the reasoning behind pricing moves. Aldi’s expansion sequencing in the US, Costco’s Kirkland Signature reformulations, and Amazon’s private label rationalization all became legible months earlier to teams running this kind of primary intelligence than to teams relying on scraped feeds.

The Private Label Competitive Threat, Sized Correctly

Private label share gains in grocery, personal care, and household categories are not uniform. They cluster where three conditions coincide: national brand price gaps exceed roughly 25 percent, blind-taste or blind-use parity is achievable, and retailer store brand equity carries a quality halo. Trader Joe’s, Loblaw’s President’s Choice, and Mercadona’s Hacendado hit all three.

The correct sizing exercise pairs blind product testing with willingness-to-switch modeling by shopper segment. That combination tells a brand manager which SKUs face structural erosion and which face temporary pressure. The response strategy differs. One requires reformulation or repositioning. The other requires disciplined promotional defense.

Trade Spend Optimization and Promotional Lift Measurement

Trade spend optimization retail programs fail when lift is measured against the wrong baseline. Comparing promoted-week sales to a prior four-week average inflates lift because it ignores pantry loading, forward-buying, and category cannibalization. The result is trade dollars that look productive on a scorecard and destructive on a full-year P&L.

The stronger method uses matched-market control stores, incrementality testing, and post-promotion decay curves. PepsiCo, Unilever, and Nestlé have restructured joint business planning conversations with major retailers around incrementality metrics rather than gross lift. The conversation changes. Buyers stop demanding deeper discounts and start negotiating for cleaner promotional mechanics that build repeat purchase.

Lift Measurement Approach	What It Captures	Decision Quality
Prior-period baseline	Gross sales change	Low. Inflated by pantry loading.
Matched-market control	True incremental units	High. Isolates promotion effect.
Incrementality with decay curve	Incremental units plus post-event drag	Highest. Reveals net annual impact.

來源: SIS International Research

Assortment Rationalization Without Cutting the Wrong SKUs

Assortment rationalization decisions go wrong when SKU velocity is read in isolation. A slow-moving SKU may anchor a shopper mission, hold shelf presence against a competitor, or serve a high-CLV segment. Cutting it drops basket size in ways that only surface two quarters later.

The stronger data model for retail assortment rationalization scores each SKU on four dimensions: unit velocity, basket contribution (what else the shopper buys when this SKU is present), segment dependency (which shopper cohorts rely on it), and competitive necessity (whether absence sends the shopper to a rival). Kroger, Tesco, and Wegmans use variants of this model to defend range depth in categories where competitors are trimming.

DTC Channel Economics and the Wholesale Trade-Off

DTC channel economics have matured past the growth-at-all-costs phase. CAC payback, contribution margin after fulfillment, and repeat rate now govern channel investment decisions. The brands succeeding, including Warby Parker, Glossier in its wholesale pivot, and Allbirds in its rationalization, treat DTC as a data and margin channel rather than a volume channel.

The economic question is straightforward. DTC gives full-price margin and first-party data. Wholesale gives volume, shelf presence, and lower CAC. The winning brands quantify the value of first-party shopper data in dollar terms and let that number set the DTC investment ceiling. Below the ceiling, DTC compounds. Above it, wholesale wins.

Market Entry Feasibility, Done as a Sequenced Investment

Based on SIS International's market entry work for European fashion, FMCG, and luxury brands entering the US, the most successful entrants stage the investment across three phases: competitive and consumer diagnostic, controlled pilot in two contrasting metros, then scaled rollout tied to pilot KPIs. Brands that skip the diagnostic phase spend two to three times more correcting positioning errors in year one.

A retail market entry feasibility study for US expansion answers four questions in sequence: does demand exist at the intended price tier, which retail format captures it most efficiently, what is the realistic share ceiling given incumbent strength, and what unit economics survive US real estate and logistics costs. Each answer gates the next investment tranche.

The SIS Retail Evidence Chain

The frame we use with retail and brand clients links five decisions into one evidence chain: shopper demand signal, competitive position, assortment architecture, promotional mechanics, and channel mix. Weakness in any link degrades the others. Strength compounds.

Decision Layer	Primary Research Method	Output
Shopper demand	Ethnography, shop-alongs, CLTs	Predictive journey model
Competitive position	Mystery shopping, expert interviews	Competitor intent map
Assortment architecture	Basket analytics, segment dependency scoring	Four-dimension SKU model
Promotional mechanics	Matched-market incrementality	True lift and decay curves
Channel mix	DTC economics modeling, wholesale ROI	Investment ceiling by channel

來源: SIS International Research

Retail market research works when each layer is instrumented with the right method and the outputs feed the next decision. The retailers and brands doing this consistently are the ones expanding margin in categories where competitors are defending it.

We conducted comprehensive study of the US apparel and home furnishings market in the US for the following industries:

• US Apparel and Textile Industry
• Fabrics, Broadwoven and Knits
• Home Furnishings Market
• Infants’ and Children’s Apparel
• Men’s and Boys Tailored and Sportswear
• Private Label Apparel
• Swimwear
• Sportswear and Tailored Clothing

A Sampling of Clients in the Retail Industry

• 1-800-Flowers
• 中遠集團
• CVS
• Dillards
• Federated Department Stores
• Gymboree
• J. C. Penney
• Jo-Ann Stores
• May & Co.
• Michaels Stores
• 西爾斯
• 目標
• TJX Companies
• ToysRus
• 羅斯商店
• Jamba Juice
• The Children's Place
• The Gap
• The Limited
• 沃爾瑪
• 沃爾格林

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