Loading...

04 Sep 2026 01:27

Advertising & Marketing

Good design helps brands command a price premium

Good design helps brands command a price premium

Good design helps brands command a price premium

Good design helps brands command a price premiumGood design ought to make a product or service more convenient, easier, and more enjoyable to use; not just visually attractive or distinctive. But what evidence do we have that people will pay more for a well-designed product?

In this post from a while ago I referred to analysis which finds that people paid over 20 percent more for brands with strong brand equity versus weak equity. The analysis was based on a data set which integrated attitudinal data for 79 brands, with behavioral data from Kantar Worldpanel and similar sources. Based on the purchasing data of 2,400 people we found that they actually paid more for brands that they perceived to be meaningfully different. But what about other types of brands, and does design help make a difference?

That is where the BrandZ database comes into play, because it covers many different types of brands, and asks whether brands are well or attractively-designed. I had previously examined a set of brands measured in both 2014 and 2017 and found that being seen as different from other brands was the only metric that seemed to anticipate how well a brand would grow.

To figure out what influence design might have on wider price perceptions I turned to Josh Samuel for help (you may have read his post about our relationship with Alibaba last week). As Global Head of Innovations at Kantar Millward Brown, Josh is the ideal person to help make sure that I do not report a bogus finding after playing around with data in Excel. Our overall conclusion was that good design can support perceptions of meaningful difference, and so does influence price perceptions.

Just as with the real pricing data, the variation in relative perceived price of brands across all categories can be explained by how meaningfully different the brands are perceived to be. 60 percent of perceived price variation across brands can be explained by brand equity. In turn 32 percent of that brand equity can be explained by the image statement “well-designed”. Put the two together and we see that about 20 percent of price variation can be explained by perceptions of good design.

Our analysis suggests that one third of the influence of brand equity is driven by perceptions of design. Of course, design may well have an even bigger influence on choice through its influence on choice during search and shopping. A well-designed brand should seem more attractive, and if it is visually distinctive it will be better able to stand out from the crowd.

 

Written by Nigel Hollis, Executive Vice President and Chief Global Analyst at Kantar Millward Brown.

(Visited 4 times, 1 visits today)
kincir88hebitopperi hokiperihokiduta 76https://abc1131aa.com/cakar76https://www.abc1131.it.com/stc76duta76duta76 loveduta76 careduta76bduta76 sejiwaduta76 lokasiterdekatduta76 africafuelduta76 oscarmykeduta76 naptimepkduta76 daikinduta76 raes-munichduta76 destyduta76 bio-linkduta76 lynkduta76 heylinkduta76 bioduta76 radarkeduabc1131https://abc1131-daftar.mssg.me/https://pttun-palembang.go.id/slot gacor qrishttps://ampawsbetx.store/AWSBETslot thailandslot thailand gacorhttps://wealthdynamics.geniusu.com/sm/4538145382453834538445385453864538745388453894539014354143551435614357143581435914360143611436214363peran rng menjaga keseruan putaran mahjong winsperbandingan spin manual turbo untuk tempo optimallima persiapan penting sebelum bermain mahjong winsmekanisme multiplier gates of olympus hasil putaranpanduan mengelola risiko dragon tiger sexy gamingrtp parlay statistik untuk keputusan lebih objektifsistem rng mahjong wins menghasilkan putaran acakpanduan black scatter fungsi simbol dan bonusmobile gaming mengubah ekosistem mahjong onlinemahjong ways fluktuasi pendek distribusi jangka menengahliterasi statistik komunitas mahjong ways memahami rtpperbedaan scatter hitam reguler mahjong ways 2variasi distribusi mahjong wins 3 rangkaian rondekarakter black scatter dan peluang hadiah besartransformasi platform mahjong online desain permainan digitalkeseruan baru setiap putaran cash bonanzaentropi shannon mengukur ketidakpastian informasi diskretpengulangan angka roulette dalam sesi tertentuteknologi modern mengubah interaksi permainan digitalkesiapan organisasi adopsi mahjong digital tata kelolablack scatter premium mahjong wins tigaobservasi scatter mahjongways berdasarkan data aktualpengaruh visual digital mahjong ways terungkappola spin mahjongways dua probabilitas tumblingrotasi strategi baccarat menuju mahjong winsbaccarat sv388 ubah ritme wild banditodata history sweet bonanza runtuhan simbol scatterkalkulasi ai interaksi starlight princess durasi putaranstatistik perubahan strategi mahjong ways komunitastiming presisi spin mahjong wins hindari false signalkajian akumulasi spin sweet bonanza objektifkolaborasi ai analisis rtp starlight princess presisimodal kecil spin mahjong wins multiplierprobabilitas tumbling mahjong wins pragmatic play meningkattren timing spin gates olympus perspektif aialgoritma ai prediksi scatter mahjong modern historisevolusi sistem mahjong pragmatic eksplorasi mobileperkembangan mahjong ways variasi bonus tempo digitalsinyal visual scatter mahjong ekosistem adaptif modernwild bandito pg soft ai algoritma numerik4543045431454324543845439https://journal.ugm.ac.id/ifnp/article/view/86602/45440https://journal.ugm.ac.id/ifnp/article/view/86602/45441https://journal.ugm.ac.id/ifnp/article/view/86602/45442https://journal.ugm.ac.id/ifnp/article/view/86602/45443https://journal.ugm.ac.id/ifnp/article/view/86602/4544414371143721437314374143751437614377143781437914380 Top