MarketingSherpa Blog

Last weekend, I was able to see the dichotomy between gathering valuable customer information and risking customer conversion play out before my very eyes.

I had roamed into a local Sears department store on a Sunday afternoon when I came across just the type of skirt I had been coveting.

Better yet, in my favorite color – and wait, 50% off?!

My motivation to have that skirt was high. As I sailed to the checkout line in the women’s apparel section, my shopper’s high began to dissipate as I observed an alarmingly long line. Although I wasn’t in a particular hurry, I promptly determined my time might be better spent searching for a shorter line in a different department.

As I walked swiftly past the stainless steel refrigerators and lawn mowers, I reluctantly joined a slightly less daunting checkout in the men’s department. As I waited patiently, I began to realize why my fellow bargain-hunters and I were not moving along as swiftly as one might project:

And can I have your ZIP code, please? And what is your phone number? And your email address? Yes, ma’am, an email address. And would you like to use your customer rewards today? Do you have any coupons? Would you like to sign up and save 20% today? It will just take a minute; we just need your driver’s license.

I continued to hear this same barrage of questioning to each and every individual ahead of me, young and old.

Many of the elderly shoppers appeared visibly anxious after the request for an email address, resulting in further delay while the cashier clarified what it was for.

“I thought I could just nip in and out of here!” groaned the lady behind me. “I’m putting these shoes back, I don’t need them that badly and my husband is waiting in the car.”

Another shopper in front of me commented, “I hear them asking about coupons, was there one in the paper today? Maybe I should come back later.”

As I watched these shoppers abandon their quest, I wondered if the benefit to gathering all of this wonderful personal information comes at too high of a cost. How does this same experience play out online?

How to transfer discoveries from brick-and-mortar peers to your website

Clearly, there are some important distinctions to be drawn between brick-and-mortar shopping experiences versus shopping online from the comfort of your couch.

However, visualizing how a website would play out in a physical store may help digital marketers develop their strategy for a more optimal experience for their visitors and spark testing ideas.

Idea #1. Test a guest option to speed up checkout

Providing a customer with the option to check out as a guest and forgo establishing a username, password and other non-vital fields may be advantageous to accommodate a visitor seeking to make a speedy transaction.

Research from Toluna found 25.6% of online consumers would abandon a purchase if they were forced to register first.

Idea #2. Cut out email overlays on the homepage

Would we have an employee posted at the entrance to a store requesting an email address before they can come in and shop?

Many of you savvy marketers are hopefully shaking your head. Of course not. I just want to come in and browse; why do you need my email address? However, many popular companies continue to greet visitors in this manner.

Idea #3. Coupon code boxes may be a conversion killer

When the shopper ahead of me at Sears heard there were coupons available, she quickly made the decision that her perceived value of the item no longer matched its cost without first hunting down that elusive coupon.

Many websites use coupon code boxes, but what is the effect of the field on conversion?

I imagine there are many customers like me who will halt at the sign of a coupon box and leave the page to commence a separate coupon search first.

If there’s a chance to save money floating around out there, I want to find it before I buy something for full price.

This begs the question: If customers can’t find that coupon, do they return to complete their purchase?

Perhaps it would be worth testing a coupon field that is de-emphasized to help deter the visitor from leaving before they complete the checkout process.

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Content personalization is perhaps one of the fastest-growing optimization tools, enabling formerly static websites to segment visitors and deliver a more personalized message to optimize conversion.

With social media providing more data than ever about customers, online marketers can cleverly deliver a message.

Personalized messages are delivered through various audience segments, built according to customer data pulled from the user’s cookie. When a user with a qualifying cookie visits a page, their cookie will trigger the display of a more personalized message.

When effectively designed and utilized, this personalized page may closely match customer motivation, resulting in a higher conversion rate.

Recently, one of our Research Partners, a large mobile network carrier, challenged us with designing a test that would allow them to compare the performance of 10 personalized audience segments against a control.

Our Partner presented the question, “Does a personalized version of our webpage increase the chances of conversion?” Although it sounded like a simple task, we learned that there are many pitfalls when testing multiple personas.

Here are three considerations to keep in mind when designing your test for personalized webpage content.

Account for an overlap in personas or prepare for duplicated data

When designing personas for your webpage, it is important to remember there is no one-size-fits-all audience segment. There will inevitably be some overlap because we humans typically don’t fit into one box that defines us.

Our Partner’s test included segments ranging from DIYers, bookworms, the upwardly mobile and gift givers. But what if I am an upwardly mobile individual with a love of books, home repair and gift giving?

Which page will I see, and how will you know?

Another contributor to overlapped personas will be shared devices. It is important to remember we are only capable of evaluating visitors’ cookies, not the visitor personally. If the visitor’s device is shared with others who each fit into vastly different audience segments, we may not be able to accurately segment the visitor into the correct category.

To combat this challenge, we set up our test so our audience segments were mutually exclusive. This meant that only users qualifying for one segment were taken to a treatment, and any user qualifying for multiple segments were taken to the control.

However, this approach will inevitably result in less traffic to each persona. Keep this in mind when selecting the number of segments your test should have.

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