The personalized shopping experience part 2 - Involving the guided search tool. Learn more about guided search technology, how it engages customers, and helps increase conversions. Learn more about iGoDigital and their comprehensive toolbox of services for your eCommerce store at www.igodigital.com

1. The Personalized Online Shopping
Experience
Part 2
Most people have experienced personalized online
shopping. Now, learn how the process works and
what it means for the future of online retail.

2. Involving the Guided Search Tool
• Some websites
incorporate specialized
guided search tools to
better assist you
• This type of tool
sidesteps traditional
online browsing and
searching to engage
the customer

3. Involving the Guided Search Tool
• Hunting through a website's inventory can
be time-consuming and inconvenient, but
a guided search tool eliminates
guesswork
• By emulating a traditional in-store
salesperson, the tool uses advanced
algorithms to streamline shopping

4. When You Don't Know What You
Want
• It's not unusual to go shopping and not
know what you're after
– Maybe you want to start exercising more, but you don't know
what equipment you need
– Or you're buying a gift for a young relative, and you aren't
sure what someone their age might want

5. When You Don't Know What You
Want
• Even if you're used to trying clothes on
before you buy them, a sophisticated guided
search tool can help
• This type of tool seems simple, but there are
deep layers of code at work, collecting
information that benefits you and the site

6. How a Guided Search Tool Works
• Like a salesperson in a store, the guided
search tool asks the customer a series of
questions about what they need
• These questions may be about the age and
interests of the person, their complexion,
their clothing size and personal style and
more

7. How a Guided Search Tool Works
• Once that information is all collected, the
guided search tool offers a range of
products that suit the user's answers

8. What Happens Out of Sight
• Guided selling software like this
searching tool doesn't just benefit the
customer
• Every answer that you give the search tool
feeds information to the site for developing
its understanding of who you are

9. What Happens Out of Sight
• guided selling
software retains
the
information, adding
it to the databanks
for later use—we'll
explain how later

10. When the Customer Leaves
• Let's say that despite the personalized e-
commerce site's best efforts, the
customer never bought anything, never
added anything to the shopping cart, never
created a profile, never entered an email
address. Game over, right?

11. When the Customer Leaves
• Wrong. The personalized
recommendation tool keeps on working,
using the browsing history data it collected
even away from the main site. But how?

12. Retargeting and Bringing
Customers Back
• When the customer leaves, the product
recommendation engine uses the data it
collected to fuel its off-site advertising
• The advertising space it pays for on social
networks, search engines and other sites
are filled in by the information that a
customer implicitly provides. This is called
"retargeting"

13. Retargeting and Bringing
Customers Back
• Retargeting is when the customer sees an
ad for the web store they left, they see one
featuring the same products they viewed
• The product recommendation tool
encourages them to return

14. The Customer Comes Back
• Imagine that the retargeting ads worked, and the
customer returns to the site to make a purchase
• When they make it to the first checkout page, the
product recommendation engine offers up a few
last-minute add-ons based on what's in the cart

15. The Customer Comes Back
• Before the customer seals the deal and
checks out, the cart has been abandoned
• At this point, the store's personalized
online shopping coding has enough data
to reach back out to the customer

16. How Do They Bring Customers
Back?
• There are plenty of reasons that customers
skip out on their carts—in fact, it happens
often enough to have a name. "Cart
abandonment"

17. How Do They Bring Customers
Back?
• For the personalized online shopping
algorithm to work, it doesn't even matter. If
the customer made it as far as filling their
cart, the program has all the information it
needs to bring them back