{"id":961,"date":"2016-10-25T22:55:04","date_gmt":"2016-10-25T22:55:04","guid":{"rendered":"https:\/\/www.guided-selling.org\/7-methods-to-help-people-choose-the-perfect-product-guided-selling-2\/"},"modified":"2024-03-01T20:10:51","modified_gmt":"2024-03-01T20:10:51","slug":"how-useful-are-these-7-methods-in-helping-people-choose","status":"publish","type":"post","link":"https:\/\/www.guided-selling.org\/how-useful-are-these-7-methods-in-helping-people-choose\/","title":{"rendered":"How Useful Are These 7 Methods in Helping People Choose?"},"content":{"rendered":"\n

Today\u2019s shoppers are confronted with seemingly endless options, leaving them with a serious case of decision fatigue<\/span><\/a>. As a result, many of them experience shopping frustration, make snap decisions or decide to take the \u201cnochoice\u201d option, choosing to defer a purchase decision<\/em>.<\/p>\n\n\n\n

As choice overload becomes a very real issue<\/a><\/span> across industries for customers and businesses alike, more and more businesses are looking into solutions to help their visitors discover, choose and decide for the perfect product to purchase. Offering a smooth and quick path to the right product is not a choice. If you don\u2019t, someone else will.<\/p>\n\n\n\n

Realizing the negative implications choice overload has for your business and doing something about it helps you to differentiate and improve the overall perception of your company.<\/p>\n\n\n\n

There are several ways how you can accomplish this. But how good are these?  I\u2019ve tested the most promising approaches:<\/p>\n\n\n\n

1) Recommendations<\/h2>\n\n\n\n

Recommendations are a good way to help shoppers discover interesting products as they browse your site.<\/strong><\/p>\n\n\n\n

You can dynamically customize the users experience based on prior searches, page views or created wish lists to keep them engaged and browsing. It also lets you increase the upselling potential by suggesting complementary products and accessories.<\/p>\n\n\n\n

The success of this approach is strongly tied to your ability to proffer relevant products and solutions<\/strong>. When you\u2019re looking for a new face cleanser for mature skin and a teenager zit-action wash pops up \u2013 not ideal. In fact, this kind of wild, random approach is likely to turn customers off and make them doubt your authority. Putting time into devising a useful algorithm and leveraging big data will reap the rewards.<\/p>\n\n\n\n

Take eBay<\/strong> as an example. I lost out on a dress I had bid on and straight away eBay acknowledged that I hadn\u2019t won the auction and provided with me with some alternatives. It\u2019s managed to ascertain my size, the color (mostly) and even the beading detail. As a customer, I found this very impressive.<\/p>\n\n\n\n

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eBay recommendations<\/p>\n\n\n\n

ASOS<\/strong> takes this idea even further. The online retail giant knows its shoppers want to look good, but it also knows we don\u2019t have time to sift through literally thousands of items. So what do they do? Style outfits and allow shoppers to buy the whole outfit in one go.<\/p>\n\n\n\n

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ASOS recommendations<\/p>\n\n\n\n

THE VERDICT \u2013 RECOMMENDATIONS:<\/strong><\/p>\n\n\n\n