[{"data":1,"prerenderedAt":426},["ShallowReactive",2],{"\u002Fresearch\u002Finsights\u002Fwhat-packaging-research-looks-like":3},{"_path":4,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":8,"description":9,"date":10,"author":11,"readTime":12,"category":13,"area":14,"body":15,"_type":420,"_id":421,"_source":422,"_file":423,"_stem":424,"_extension":425},"\u002Fresearch\u002Finsights\u002Fwhat-packaging-research-looks-like","insights",false,"","What packaging attention research actually looks like","A practical walkthrough of how a shelf-attention study is designed, what it measures, and what published research has shown about packaging cues.","2026-04-15","Caspar Goeke","7 min","Methodology","Packaging & Visual",{"type":16,"children":17,"toc":407},"root",[18,34,41,46,58,64,69,125,151,157,162,169,188,193,199,211,216,222,227,233,238,281,286,307,313,394],{"type":19,"tag":20,"props":21,"children":22},"element","p",{},[23,26,32],{"type":24,"value":25},"text","When a CPG brand commissions packaging research, the question is usually some version of ",{"type":19,"tag":27,"props":28,"children":29},"em",{},[30],{"type":24,"value":31},"\"which design gets noticed first on the shelf?\"",{"type":24,"value":33}," The answer is rarely as simple as the question — and that is what makes attention measurement worth doing in the first place.",{"type":19,"tag":35,"props":36,"children":38},"h2",{"id":37},"the-setup",[39],{"type":24,"value":40},"The setup",{"type":19,"tag":20,"props":42,"children":43},{},[44],{"type":24,"value":45},"We simulate a shelf environment — either recreated from a planogram or photographed from an actual retail setting. The client's product is placed alongside its real competitors in realistic positions, with realistic spacing and lighting.",{"type":19,"tag":20,"props":47,"children":48},{},[49,51,56],{"type":24,"value":50},"Participants view the shelf on their own screen and complete a realistic shopping task — for example, ",{"type":19,"tag":27,"props":52,"children":53},{},[54],{"type":24,"value":55},"\"choose the breakfast cereal you would buy this week\"",{"type":24,"value":57}," — without being told which product is the focus of the research. Their eye movements are recorded continuously throughout. A short post-task interview captures stated preference and recall, which we compare against the observed attention data.",{"type":19,"tag":35,"props":59,"children":61},{"id":60},"what-we-actually-measure",[62],{"type":24,"value":63},"What we actually measure",{"type":19,"tag":20,"props":65,"children":66},{},[67],{"type":24,"value":68},"Raw eye-tracking data gives us fixation coordinates and durations. From those, we compute:",{"type":19,"tag":70,"props":71,"children":72},"ul",{},[73,85,95,105,115],{"type":19,"tag":74,"props":75,"children":76},"li",{},[77,83],{"type":19,"tag":78,"props":79,"children":80},"strong",{},[81],{"type":24,"value":82},"Time to first fixation",{"type":24,"value":84}," — how quickly participants notice the product among distractors.",{"type":19,"tag":74,"props":86,"children":87},{},[88,93],{"type":19,"tag":78,"props":89,"children":90},{},[91],{"type":24,"value":92},"Dwell time",{"type":24,"value":94}," — how long they spend looking at each product.",{"type":19,"tag":74,"props":96,"children":97},{},[98,103],{"type":19,"tag":78,"props":99,"children":100},{},[101],{"type":24,"value":102},"Scan patterns",{"type":24,"value":104}," — the typical path the eye takes across the shelf.",{"type":19,"tag":74,"props":106,"children":107},{},[108,113],{"type":19,"tag":78,"props":109,"children":110},{},[111],{"type":24,"value":112},"Areas of interest (AOI)",{"type":24,"value":114}," — attention on specific design elements (logo, product window, claim, variant cue).",{"type":19,"tag":74,"props":116,"children":117},{},[118,123],{"type":19,"tag":78,"props":119,"children":120},{},[121],{"type":24,"value":122},"Brand-recognition latency",{"type":24,"value":124}," — the gap between fixating the pack and registering the brand.",{"type":19,"tag":20,"props":126,"children":127},{},[128,130,135,137,142,144,149],{"type":24,"value":129},"These metrics, taken together, separate the question of ",{"type":19,"tag":27,"props":131,"children":132},{},[133],{"type":24,"value":134},"visibility",{"type":24,"value":136}," (is the pack noticed at all?) from ",{"type":19,"tag":27,"props":138,"children":139},{},[140],{"type":24,"value":141},"recognition",{"type":24,"value":143}," (is the brand identified?) from ",{"type":19,"tag":27,"props":145,"children":146},{},[147],{"type":24,"value":148},"preference",{"type":24,"value":150}," (when noticed and recognised, is it chosen?).",{"type":19,"tag":35,"props":152,"children":154},{"id":153},"what-recent-published-research-has-shown",[155],{"type":24,"value":156},"What recent published research has shown",{"type":19,"tag":20,"props":158,"children":159},{},[160],{"type":24,"value":161},"The methodology behind shelf-attention studies is the subject of an active peer-reviewed literature using the same measurement platform. Three recent findings worth highlighting:",{"type":19,"tag":163,"props":164,"children":166},"h3",{"id":165},"_1-nutritional-labels-slow-product-detection",[167],{"type":24,"value":168},"1. Nutritional labels slow product detection",{"type":19,"tag":20,"props":170,"children":171},{},[172,174,179,181,186],{"type":24,"value":173},"González, Ojedo, Ruiz, and de Brugada (2025), published in ",{"type":19,"tag":27,"props":175,"children":176},{},[177],{"type":24,"value":178},"Food Quality and Preference",{"type":24,"value":180},", tested how mandatory nutritional warning labels — the kind used on packaging in many EU and Latin American markets — affect ",{"type":19,"tag":27,"props":182,"children":183},{},[184],{"type":24,"value":185},"product detection",{"type":24,"value":187}," speed. Products carrying a \"high in salt\" or \"high in saturated fat\" warning were detected more slowly than identical products without the warning. The finding goes beyond preference: the label actively interferes with a product's ability to capture attention on a busy shelf, before the shopper has formed any judgement at all.",{"type":19,"tag":20,"props":189,"children":190},{},[191],{"type":24,"value":192},"For a brand, this changes the question. It is no longer \"do shoppers prefer the labelled or unlabelled version?\" — it is \"by how much is shelf standout reduced, and how can other design choices compensate?\"",{"type":19,"tag":163,"props":194,"children":196},{"id":195},"_2-brand-assets-and-product-imagery-behave-differently-under-shopper-state",[197],{"type":24,"value":198},"2. Brand assets and product imagery behave differently under shopper state",{"type":19,"tag":20,"props":200,"children":201},{},[202,204,209],{"type":24,"value":203},"Ruiz, González, and de Brugada (2025) ran a complementary study on attentional capture under satiation. Hungry shoppers and recently-fed shoppers differ markedly in how strongly food-related imagery captures their attention — but they do ",{"type":19,"tag":27,"props":205,"children":206},{},[207],{"type":24,"value":208},"not",{"type":24,"value":210}," differ in how strongly food-brand logos do. Brand recognition appears to operate as a stable layer of attentional currency, robust to short-term shifts in shopper state, while product imagery rises and falls with appetite.",{"type":19,"tag":20,"props":212,"children":213},{},[214],{"type":24,"value":215},"Practically: a brand's logo is a more reliable shelf asset than its product photography. Logo prominence in a redesign is therefore a higher-stakes decision than it might appear.",{"type":19,"tag":163,"props":217,"children":219},{"id":218},"_3-categorisation-strategies-vary-across-consumer-groups",[220],{"type":24,"value":221},"3. Categorisation strategies vary across consumer groups",{"type":19,"tag":20,"props":223,"children":224},{},[225],{"type":24,"value":226},"Lakritz, Iceta, and Lafraire (2024) studied how individuals categorise food-related visual information, and how these strategies differ across populations. The relevance for packaging research is that two segments of the same target audience may not be looking at the same elements of the same pack — the cue that drives recognition for one group may be different from the cue that drives recognition for another. Sample composition matters; one number averaged across groups can hide the structure of the finding.",{"type":19,"tag":35,"props":228,"children":230},{"id":229},"what-the-findings-deliver",[231],{"type":24,"value":232},"What the findings deliver",{"type":19,"tag":20,"props":234,"children":235},{},[236],{"type":24,"value":237},"A typical packaging readout produces:",{"type":19,"tag":70,"props":239,"children":240},{},[241,251,261,271],{"type":19,"tag":74,"props":242,"children":243},{},[244,249],{"type":19,"tag":78,"props":245,"children":246},{},[247],{"type":24,"value":248},"Heatmaps",{"type":24,"value":250}," showing attention distribution across the shelf and across each pack, identifying which elements draw the eye and which are passed over.",{"type":19,"tag":74,"props":252,"children":253},{},[254,259],{"type":19,"tag":78,"props":255,"children":256},{},[257],{"type":24,"value":258},"Comparative metrics",{"type":24,"value":260}," for each design variant — time-to-first-fixation, total fixation count, dwell time, brand-recognition latency.",{"type":19,"tag":74,"props":262,"children":263},{},[264,269],{"type":19,"tag":78,"props":265,"children":266},{},[267],{"type":24,"value":268},"A separation of visibility from preference.",{"type":24,"value":270}," A pack can be highly preferred when shown in isolation but invisible on the shelf, or vice versa. Most of the time the actionable finding is one of these.",{"type":19,"tag":74,"props":272,"children":273},{},[274,279],{"type":19,"tag":78,"props":275,"children":276},{},[277],{"type":24,"value":278},"Specific design-element recommendations",{"type":24,"value":280}," — which cues to scale up, which to retain, which to retest. Recommendations that the design team can take into the next iteration without further interpretation.",{"type":19,"tag":20,"props":282,"children":283},{},[284],{"type":24,"value":285},"The value of attention measurement in packaging is not that it replaces preference testing — it is that it answers a question preference testing cannot ask.",{"type":19,"tag":287,"props":288,"children":289},"blockquote",{},[290,299],{"type":19,"tag":20,"props":291,"children":292},{},[293],{"type":19,"tag":294,"props":295,"children":298},"img",{"alt":296,"src":297},"Placeholder — example shelf-attention heatmap","\u002Fimages\u002Fplaceholders\u002Fcasestudy-heatmap.svg",[],{"type":19,"tag":20,"props":300,"children":301},{},[302],{"type":19,"tag":27,"props":303,"children":304},{},[305],{"type":24,"value":306},"An anonymised heatmap from one of our studies, or a published figure under an open licence, would fit well here. We will replace this placeholder with a real example as engagements complete or as we identify a suitable open-access figure to license.",{"type":19,"tag":35,"props":308,"children":310},{"id":309},"citations",[311],{"type":24,"value":312},"Citations",{"type":19,"tag":70,"props":314,"children":315},{},[316,337,356,375],{"type":19,"tag":74,"props":317,"children":318},{},[319,321,326,328],{"type":24,"value":320},"González, A., Ojedo, F., Ruiz, I., & de Brugada, I. (2025). ",{"type":19,"tag":27,"props":322,"children":323},{},[324],{"type":24,"value":325},"The effect of nutritional labels on the facilitation of Food Image Detection.",{"type":24,"value":327}," Food Quality and Preference. ",{"type":19,"tag":329,"props":330,"children":334},"a",{"href":331,"rel":332},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.foodqual.2025.105547",[333],"nofollow",[335],{"type":24,"value":336},"doi.org\u002F10.1016\u002Fj.foodqual.2025.105547",{"type":19,"tag":74,"props":338,"children":339},{},[340,342,347,349],{"type":24,"value":341},"Ruiz, I., González, A., & de Brugada, I. (2025). ",{"type":19,"tag":27,"props":343,"children":344},{},[345],{"type":24,"value":346},"Satiation Modulates Attentional Capture by Food-Related Images But Not Food-Brand Logos.",{"type":24,"value":348}," SSRN. ",{"type":19,"tag":329,"props":350,"children":353},{"href":351,"rel":352},"https:\u002F\u002Fdoi.org\u002F10.2139\u002Fssrn.5115225",[333],[354],{"type":24,"value":355},"doi.org\u002F10.2139\u002Fssrn.5115225",{"type":19,"tag":74,"props":357,"children":358},{},[359,361,366,368],{"type":24,"value":360},"Lakritz, C., Iceta, S., & Lafraire, J. (2024). ",{"type":19,"tag":27,"props":362,"children":363},{},[364],{"type":24,"value":365},"Food Categorization Performance and Strategies in Orthorexia Nervosa.",{"type":24,"value":367}," Cognitive Therapy and Research. ",{"type":19,"tag":329,"props":369,"children":372},{"href":370,"rel":371},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10608-024-10495-9",[333],[373],{"type":24,"value":374},"doi.org\u002F10.1007\u002Fs10608-024-10495-9",{"type":19,"tag":74,"props":376,"children":377},{},[378,380,385,387],{"type":24,"value":379},"Kaduk, T., Goeke, C., Finger, H., & König, P. (2023). ",{"type":19,"tag":27,"props":381,"children":382},{},[383],{"type":24,"value":384},"Webcam eye tracking close to laboratory standards: Comparing a new webcam-based system and the EyeLink 1000.",{"type":24,"value":386}," Behavior Research Methods, 56(5), 5002–5022. ",{"type":19,"tag":329,"props":388,"children":391},{"href":389,"rel":390},"https:\u002F\u002Fdoi.org\u002F10.3758\u002Fs13428-023-02237-8",[333],[392],{"type":24,"value":393},"doi.org\u002F10.3758\u002Fs13428-023-02237-8",{"type":19,"tag":20,"props":395,"children":396},{},[397,399,405],{"type":24,"value":398},"For a fuller list of peer-reviewed work using the same measurement platform, see ",{"type":19,"tag":329,"props":400,"children":402},{"href":401},"\u002Fresearch\u002Fpublished",[403],{"type":24,"value":404},"published research",{"type":24,"value":406},".",{"title":7,"searchDepth":408,"depth":408,"links":409},2,[410,411,412,418,419],{"id":37,"depth":408,"text":40},{"id":60,"depth":408,"text":63},{"id":153,"depth":408,"text":156,"children":413},[414,416,417],{"id":165,"depth":415,"text":168},3,{"id":195,"depth":415,"text":198},{"id":218,"depth":415,"text":221},{"id":229,"depth":408,"text":232},{"id":309,"depth":408,"text":312},"markdown","content:research:insights:what-packaging-research-looks-like.md","content","research\u002Finsights\u002Fwhat-packaging-research-looks-like.md","research\u002Finsights\u002Fwhat-packaging-research-looks-like","md",1780554429816]