{"id":14253,"date":"2025-06-10T17:17:25","date_gmt":"2025-06-10T21:17:25","guid":{"rendered":"https:\/\/www.sisinternational.com\/?page_id=14253"},"modified":"2026-05-05T14:36:49","modified_gmt":"2026-05-05T18:36:49","slug":"%e6%b6%88%e8%b2%bb%e8%80%85%e5%b8%82%e5%a0%b4%e8%aa%bf%e6%9f%bb","status":"publish","type":"page","link":"https:\/\/www.sisinternational.com\/ja\/%e3%82%bd%e3%83%aa%e3%83%a5%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3\/%e6%b6%88%e8%b2%bb%e8%80%85%e5%b8%82%e5%a0%b4%e8%aa%bf%e6%9f%bb\/","title":{"rendered":"Consumer Market Research for Smarter Decisions | SIS"},"content":{"rendered":"

\u6d88\u8cbb\u8005\u5e02\u5834\u8abf\u67fb<\/a> That Drives Smarter Decisions<\/h1>\n

The best \u6d88\u8cbb\u8005\u5e02\u5834\u8abf\u67fb<\/a> separates category winners from category followers. It tells executives which products to launch, which to kill, which price points hold, and which shelf positions move volume. Sharper inputs produce sharper bets.<\/p>\n

VP-level operators at Fortune 500 companies face a structural shift in how consumer signal is captured, validated, and converted into go-to-market action. The firms gaining share are not running more research. They are running better-designed research, closer to the moment of decision, with hybrid methodologies that combine behavioral data with human-centered context.<\/p>\n

What \u6d88\u8cbb\u8005\u5e02\u5834\u8abf\u67fb<\/a> Delivers in Modern Category Management<\/h2>\n

Consumer market research is the systematic study of buyer attitudes, behaviors, and preferences to inform product, pricing, channel, and positioning decisions. The discipline now extends well beyond surveys. It integrates ethnographic research, sensory testing, shopper journey analytics, and competitive intelligence into a single decision system.<\/p>\n

The shift matters because category management optimization no longer relies on quarterly tracker data alone. Retailers expect brands to arrive with shopper-level evidence on assortment rationalization, promotional lift measurement, and trade spend optimization before a line review. Without that evidence, slot conversations stall.<\/p>\n

According to SIS International Research, brands that pair quantitative concept testing with in-context ethnographic observation reach launch confidence two to three rounds faster than those running concept tests in isolation.<\/span> The reason is mechanical: ethnographic data reveals the rejection drivers that survey respondents rationalize away, allowing reformulation before validation rather than after.<\/span><\/p>\n

How Leading Firms Combine Behavioral, Sensory, and Attitudinal Signal<\/h2>\n

The conventional approach treats each method as a separate study with separate vendors and separate timelines. The better approach treats them as layers of the same decision. A central location test (CLT) captures hedonic scaling on a reformulated SKU. A descriptive analysis panel calibrates which sensory attributes drive the score. A shopper intercept tests whether the improvement registers at shelf. The decision question stays constant. The lens rotates.<\/p>\n

Consider how this plays out in food and beverage. A private label taste parity study using triangle test discrimination tells a manufacturer whether shoppers can detect a difference from the national brand. Penalty analysis on JAR scales tells them which attribute to adjust. Sequential monadic design tells them whether the adjustment improves preference without breaking other attributes. Three methods. One reformulation decision. The output is a defensible recommendation, not a deck of charts.<\/p>\n

Procter & Gamble, Unilever, and Nestl\u00e9 built internal capability around this layered approach decades ago. Mid-market challengers now access the same rigor through external partners rather than rebuilding the function in-house.<\/p>\n

Where AI Strengthens Consumer Market Research and Where Human Judgment Holds<\/h2>\n

AI-enabled synthesis compresses the time from fieldwork to insight. Transcript coding, open-end classification, and cross-tabulation that once took analysts a week now take hours. The economic effect is real. The interpretive effect is more contained.<\/p>\n

AI struggles with three things consumer researchers do well: detecting when a respondent is performing rather than reporting, weighting cultural context across markets, and translating sensory language into formulation guidance. A descriptive panel calibrating “creamy” against a reference standard produces signal a language model cannot replicate from transcripts alone.<\/p>\n

SIS International’s work across taste testing, CLTs, and ethnographic research in North America, Asia-Pacific, and Latin America indicates that hybrid AI-plus-human protocols outperform either approach alone, particularly in clean label perception studies, plant-based protein sensory gap analysis, and functional ingredient positioning where category vocabulary is still forming.<\/span><\/p>\n

The Methodologies That Move Category Decisions<\/h2>\n
\n\n\n\n\n\n\n\n\n\n
Decision<\/th>\nPrimary Method<\/th>\nValidation Method<\/th>\n<\/tr>\n<\/thead>\n
Reformulation parity<\/td>\nTriangle test discrimination<\/td>\nSequential monadic preference<\/td>\n<\/tr>\n
New product launch<\/td>\nConcept-product fit testing<\/td>\nCLT with hedonic scaling<\/td>\n<\/tr>\n
Pack and price optimization<\/td>\n\u30b3\u30f3\u30b8\u30e7\u30a4\u30f3\u30c8\u5206\u6790<\/td>\nShopper intercept at shelf<\/td>\n<\/tr>\n
Positioning refinement<\/td>\nCATA methodology<\/td>\nNapping and projective mapping<\/td>\n<\/tr>\n
Shelf-life claims<\/td>\nAccelerated shelf-life testing<\/td>\nDescriptive panel calibration<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

Source: SIS International Research<\/em><\/p>\n

The pairing matters more than the individual method. A conjoint study without shelf validation overestimates willingness to pay. A CLT without descriptive calibration produces a score with no formulation roadmap. The discipline is in matching method to decision, then matching validation to method.<\/p>\n

What the SIS Approach to Consumer Market Research Looks Like in Practice<\/h2>\n

SIS conducts consumer market research across 135 countries using in-house moderators, recruited consumer panels, and proprietary CLT facilities. The work spans focus groups, ethnographic research, taste testing, shopper studies, and B2B expert interviews where consumer signal intersects with retailer or distributor strategy.<\/p>\n

In structured engagements with senior brand and category leaders at Fortune 500 consumer manufacturers, SIS International has observed that the highest-return programs share three traits: a single owner on the client side accountable for translating insight into commercial action, a research design that pre-commits to a decision threshold before fieldwork, and a debrief format that names trade-offs rather than averaging them.<\/span><\/p>\n

The implication for VP-level buyers is that vendor selection matters less than design discipline. Strong design with an average vendor outperforms weak design with a premium vendor. Most enterprise research budgets are lost to the second condition, not the first.<\/p>\n

The Decision Framework Behind High-Return Consumer Research Programs<\/h2>\n

A useful internal frame is the Decision-Method-Validation triad. Name the commercial decision the research must answer. Select the method that produces the right unit of analysis for that decision. Pre-commit to the validation step that confirms or rejects the primary finding. Programs that complete all three convert research spend into shelf movement. Programs that complete only the first two produce interesting reports.<\/p>\n

This frame also clarifies budget allocation. Reformulation decisions justify descriptive panel investment. Launch decisions justify CLT plus shopper validation. Positioning refinement justifies CATA plus napping. Matching spend to decision tier prevents the common pattern of overspending on tracking and underspending on the studies that actually move category share.<\/p>\n

Consumer market research, executed against this discipline, becomes a compounding asset. Each study calibrates the next. Reference products accumulate. Panels mature. Category vocabulary sharpens. The firms that treat research as infrastructure rather than as project spend pull ahead in five-year category share trajectories.<\/p>\n

SIS\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb\u306b\u3064\u3044\u3066<\/h2>\n

SIS\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb<\/a> \u5b9a\u91cf\u7684\u3001\u5b9a\u6027\u7684\u3001\u6226\u7565\u7684\u306a\u8abf\u67fb\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u610f\u601d\u6c7a\u5b9a\u306e\u305f\u3081\u306e\u30c7\u30fc\u30bf\u3001\u30c4\u30fc\u30eb\u3001\u6226\u7565\u3001\u30ec\u30dd\u30fc\u30c8\u3001\u6d1e\u5bdf\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u307e\u305f\u3001\u30a4\u30f3\u30bf\u30d3\u30e5\u30fc\u3001\u30a2\u30f3\u30b1\u30fc\u30c8\u3001\u30d5\u30a9\u30fc\u30ab\u30b9 \u30b0\u30eb\u30fc\u30d7\u3001\u305d\u306e\u4ed6\u306e\u5e02\u5834\u8abf\u67fb\u65b9\u6cd5\u3084\u30a2\u30d7\u30ed\u30fc\u30c1\u3082\u5b9f\u65bd\u3057\u307e\u3059\u3002 \u304a\u554f\u3044\u5408\u308f\u305b<\/a> \u6b21\u306e\u5e02\u5834\u8abf\u67fb\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u3054\u5229\u7528\u304f\u3060\u3055\u3044\u3002<\/p>\n

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Related SIS Resources<\/h3>\n