{"id":79,"date":"2016-01-29T11:06:36","date_gmt":"2016-01-29T05:36:36","guid":{"rendered":"http:\/\/ec2-54-169-252-119.ap-southeast-1.compute.amazonaws.com\/?p=79"},"modified":"2024-04-30T10:22:41","modified_gmt":"2024-04-30T04:52:41","slug":"selling-style-and-other-intangibles-on-the-internet","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/retail-trends\/selling-style-and-other-intangibles-on-the-internet\/","title":{"rendered":"Selling Style and Other Intangibles on the Internet"},"content":{"rendered":"Reading Time: <\/span> 4<\/span> minutes<\/span><\/span>

A modified TV set, a phone line and a transaction-processing computer. Throw in a hankering to avoid the boring, weekly grocery run, and new signals lit up in Michael Aldrich\u2019s mind.<\/p>\n

This led to the creation of a revolutionary, makeshift eCommerce system all the way back in the 70s. Since then we\u2019ve been selling everything we can, from electronics and movies to fashion, food and furniture, online.<\/p>\n

But let\u2019s step back a little further. Before Aldrich began imagining use cases for his novel idea of \u2018teleshopping\u2019, Phillip Nelson \u2014 a professor of Economics at SUNY, Binghampton \u2014 first started observing the basic differences between what he called \u2018experience goods\u2019 and \u2018search goods\u2019.<\/p>\n

These differences laid down the ground rules for product treatment online even before eCommerce became popular. But what\u2019s more important, they also help online businesses understand how shoppers perceive products they can\u2019t touch and feel.<\/p>\n

Mark Runs, Bikes and Loves Smoothies<\/h3>\n

This is a stripped-down version of a marketing persona. If we want to be more specific, we could say that Mark is single and may eat out often. But he\u2019s also health conscious, so he probably prefers simple, single-serve meals whipped up with minimal effort instead.<\/p>\n

It\u2019s plausible he uses his trusty blender for a post-run breakfast smoothie every day. Or if he doesn\u2019t already, he might be open to the idea of it.<\/p>\n

But once we realize Mark needs a blender, we start to question the nature of the blender itself. How is the blender useful? Why will Mark prefer this particular blender over other blenders? How can you guarantee its quality?<\/p>\n

\"\"
Search goods are easy to judge without physical interaction.<\/figcaption><\/figure>\n

An eCommerce store can answer all of these questions and bridge the information gap by being reliable and transparent about:<\/p>\n

    \n
  1. Product characteristics (size, power, durability)<\/li>\n
  2. How the product is sold (secure transactions, flexible deliveries) &<\/li>\n
  3. Trustworthiness of the seller (product guarantees, customer support, return policies)<\/li>\n<\/ol>\n

    Mark\u2019s blender is a search good.<\/p>\n

    Search goods are products whose quality you can judge before you buy or use them.<\/p>\n

    An online store can remove the uncertainty behind buying a blender or a power saw with a well thought out product blurb, good images and reviews from other customers. Armed with this information, Mark can buy the Super Decimator Blender at the next Cyber Monday and be sure that he\u2019s made the right decision.<\/p>\n

    On the other hand, things aren\u2019t quite so straight forward with experience goods.<\/p>\n

    What Elise Really Wants to Know About the Pants<\/h3>\n

    How can you tell if you will like a hotel? Or a new dish? Or a dress? Without staying there\/ tasting it\/ trying it on, you\u2019re stuck in the dark pit of Product Uncertainty.<\/p>\n

    Experience goods, by nature, are products that are hard to define, evaluate and quantify unless you buy them and use them. In Nelson\u2019s words, \u2018their utility or value can\u2019t be ascertained before purchase\u2019.<\/p>\n

    If Mark had a friend Elise who wanted a pair of jeans, size and color descriptions would only go so far in helping her make a choice when she\u2019s shopping online. What she really wants to know is how it will look on her and if it suits her taste.<\/p>\n

    We hit a wall here because it\u2019s hard to say something is \u2018just right\u2019 for someone when there are 7 billion different kinds of people on the planet.<\/p>\n

    \n
    \n
    \n
    \"\"
    One of the main reasons why experience goods are returned is that the buyer doesn\u2019t like them, not that they don\u2019t work.<\/figcaption><\/figure>\n

    In a paper titled Product Fit Uncertainty in Online Markets: Nature, Effects and Antecedents, <\/em>Hong and Pavlou say that when it comes to experience goods,<\/p>\n

    \u2018It is not enough for a product to be described thoroughly and expected to perform well, the product must fit the consumer\u2019s individual preferences.\u2019<\/p><\/blockquote>\n

    When a product listed online cannot show the shopper what he or she is looking for, we\u2019re looking at a severe case of product fit uncertainty (defined as \u2018the degree to which a consumer cannot assess whether a product\u2019s attributes match her preferences\u2019).<\/p>\n

    It\u2019s a tough call for Elise and online stores selling pants.<\/p>\n

    Fashion and Product Fit Uncertainty<\/h3>\n

    So obviously, it\u2019s hard selling fashion online\u2026or is it?<\/p>\n

    Fashion eCommerce is one of the fastest growing sectors in the world, and in the last year alone eMarketer predicted that fashion eCommerce would hit $60 billion in s<\/a>ales in the U.S<\/a> and grab a whopping 17.2% market share of total retail eCommerce.<\/span><\/p>\n

    The problem is not bringing people to online fashion stores. They\u2019re already sold with factors like variety, payment options, delivery convenience, and the ability to track down items they won\u2019t find in local brick-and-mortar shops. The problem is bridging the gap between providing a cornucopia of options and at the same time, narrowing them down to fit an individual.<\/p>\n

    Stores like Trunk Club and Stitch Fix are trying to overcome product fit uncertainty by ultra-personalizing buying choices. They assign a stylist, take down your measurements, find out what you like and send you clothes every month that you can either choose to keep or send back.<\/p>\n

    But this is still a manual process. How can true personalization scale to larger eCommerce stores? And are there any tools or processes we can use to help customers evaluate experience goods online?<\/p>\n

    As Maz Kanata puts it, \u201cIt\u2019s a good question for another time\u201d<\/em>.<\/p>\n<\/div>\n<\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"

    Reading Time: <\/span> 4<\/span> minutes<\/span><\/span> A modified TV set, a phone line and a transaction-processing computer. Throw in a hankering to avoid the boring, weekly grocery run, and new signals lit up in Michael Aldrich\u2019s mind. This led to the creation of a revolutionary, makeshift eCommerce system all the way back in the 70s. Since then we\u2019ve been selling everything …<\/p>\n","protected":false},"author":23,"featured_media":208,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1523,1161],"tags":[],"acf":[],"yoast_head":"\nSelling Style and Other Intangibles on the Internet | Vue.ai<\/title>\n<meta name=\"description\" content=\"Explore the challenges of selling intangible products like fashion online. 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