Nudge Your E-commerce Customers and Grab the Low Hanging Fruit

Often, I'm asked by clients or prospective clients to look at their e-commerce websites and identify low hanging fruit.  Usually, that means unearthing opportunities to improve the customer experience, and thus, improve conversion.

Here's one way to grab some low hanging fruit: give your customers a nudge.

In any given e-commerce shopping and buying experience, customers are faced with a large number of choices to make.  I'm not just talking about selecting the product to buy. It's all of the various configurations of choices that come after you've found the item that you want:

• What color and size do I choose?

• What shipping method do I want?

• Do I want to sign up for email, and if so, do I want HTML or text?

• Do I want the item shipped to my billing address or a different one?

• Do I want to save my personal info or create an account for next time?

• What credit card do I want to pay with?

• Do I want to donate extra dollars to a good cause?

The list goes on.  Depending on the nature of the product, there can by a myriad of custom configurations of a product (like the Timberland boot builder) or options for receiving a physical product vs. a digital version (such as an airline ticket or software product).  As many online shoppers have discovered, on some websites, it's all too easy to make the wrong choice.  In fact, some websites make matters worse by having the wrong choice "pre-selected", causing frustration, abandonment, or worse, an erroneous order followed by dissatisfaction and returns.

By dissecting all of the places on your site that your customers need to make choices and gently "nudging" them towards the appropriate choice, you can make your customers happier AND improve your e-commerce business results.  

Fortunately, some great brains at HBR have written an article and created a useful decision tree methodology for those of us who lead e-commerce efforts.  The article, Nudge Your Customers Towards Better Choices is a must-read for any information architect or designer faced with getting customers through the online decision making process, and for e-commerce business leaders wrestling with the pros and cons of making "default" choices for customers, either with the intent of achieving a business results (such as getting more email sign ups) or improving customer satisfaction (such as presenting personalized selections).  Note: you will need to pay for this article on the HBR site, but it's only $6.50 and, in my view, well worth the investment, as you'll probably refer to it again and again and put the decision tree they've created on your bulletin board.

Fundamentally, the HBR authors divide the world into two key types of "default" decisions that can be presented to a customer: a) mass defaults, where a retailer "pre-selects" the option that a majority of users will likely choose and b) personalized defaults, where implicit or explicit information about a customer is used to "pre-select" the best option for them. 

Both of these default types come in a variety of flavors, all of which are described in detail in the article, with examples of appropriate usage based on the business objectives and customer information available.   But, to quickly make they point on how useful nudging can improve the customer experience and business results, here are a few examples of my own: 

First, an easy one.  A typical illustration of an e-commerce  mass default is below.  When it's time for the customer to choose a shipping option, pre-selecting "standard" shipping makes sense.  It's the least expensive option, and if I have special circumstances that cause me to need expedited shipping, I don't expect the retailer to know that.  Of course, if they can highlight messaging about shipping deadlines here around key gift-giving holidays, all the better.

  

In the above example, specific info like the anticipated date of delivery would go a step further to helping the customer make the right choice.

Now, let's look at an example where the wrong mass default is a likely source of frustration.  On the Allen Brothers site, notice that the default quantity choice is set to "0".  Why not set it to "1", since customers ordering will order at least one, and must choose a quantity in order to add to cart?

 
How many customers do you think mistakenly hit "add to cart" without choosing a quantity?

Personalized defaults, when well executed can lead to increased conversion, loyalty and reduced returns.  Consider myShape.com, the women's apparel site that "pre-selects" the right size for the customer based on the extensive body measurement information she provides.  Assuming they have the right data, this saves customers the hassle of determining the right size, and reduces the risk of returns.  This is a form of personalized default HBR calls a "smart default".  I agree, it is smart.

Then, there are those mass defaults that would be so much more effective if they were personalized. I'm a petite.  I've stopped growing (at least vertically), so that's not likely to change. Yet, every time I shop online from my favorite stores, I have to "override" the default "regular" size setting. Sure, most women are "regular", and while most stores probably don't know enough about me to recommend a specific size, they could easily get enough data from me, either in my profile or in my purchase history to pre-select "petite".  Incidentally, when I was rushing through some shopping last holiday, I mistakenly ordered "regular" from two websites (see eddiebauer.com below) and promptly returned them, I was too aggravated to make an exchange.

    

After reading the HBR article and doing a quick drive by on a few sites, I've concluded that paying close attention to key points of customer choice and applying the right form of defaults is an area of untapped opportunity for many. If you're under pressure to improve your business results through low hanging fruit (and who isn't these days?), try this:

Buy and read the HBR article. Identify all of the decision points on your site where defaults are used or could be used. For each, ask yourself:

• Is this the appropriate form of default?
• Is the appropriate choice pre-selected?
• Are there areas where we're using mass defaults when personalized defaults would be more effective?
• What customer data could we gather or what data do we have that would help us offer a truly helpful personalized default?

Then, set up some A/B tests, and gently "nudge" your customers to the right choice.  Chances are, you'll see that a well placed nudge might just push them over the "buy" threshold, and allow you to pick some low hanging fruit.