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By Jenny Elliott
One of the most common questions posed to web analysts is, “Why
is my conversion rate only X.Y%?” This question simultaneously makes me
clap my hands with joy and cringe. It means some real detective work is
ahead, but all too often the powers that be do not want to do the work
required to find the answer.
Why aren’t more people buying? Usually it is a combination of
smaller missed opportunities over the course of a week or a month adding
up to a lot of lost conversions. Executives want there to be one answer
- one area where change needs to happen. While there is rarely such a
simple solution, there are a few common areas to investigate to get you
started.
Examine your checkout steps
Review the checkout funnel flow for two things: exit points and
backwards flow. Find out what percentage of people checking out proceed
through linearly without any back and forth. If people do take a step
back, what is the most common path? Examine what percentage of people
visit a step in the checkout process more than once during their
session. This can indicate customer confusion. Often messaging is the
culprit; the customer expects to see some information on the page but
does not.
Once the leaky points are identified, perform qualitative user
testing to truly find out what customers are thinking. Although metrics
can show us where shoppers abandon, this is not necessarily the same
place where they get frustrated. When it comes to the cart, knowing
exactly what you need to fix and how to address the problem requires
direct feedback from your customers.
One of the best ways to convince the boss to spring for some
usability testing is to illustrate what the conversion rate would look
like if you stopped 50 percent of the people currently jumping ship.
Times that number by AOV and show the potential sales that could be won.
Segment conversion rate by channel
Overall site conversion is reviewed frequently, but it does not
come close to the whole story. Review conversion rate by channels such
as PPC, SEO and email marketing visitors. Then dive deeper into lower
performing segments - perhaps the culprits are some severely
underperforming marketing campaigns that are dragging the overall site
average down.
I like to re-calculate the conversion rate minus the
segments/campaigns I believe could be the problem. You must show the
higher-ups what could be if given time to identify exactly what needs to
be corrected.
High bounce points
When evaluating visitor segment conversion rates, start with the
easy stuff - the pages that are high bounce points for those specific
users. Then work backwards. What keyword did they use to get there? What
did the PPC ad that drove them there actually say? Part of
understanding why a visitor did not stay on your site is knowing the
intent that drove them there. This can lead to content and layout
updates so visitors more clearly know what they are getting what they
are looking for. A/B testing is a great tool to test out different
landing pages and find out exactly how the site needs to be improved.
Non-transactional conversions
Users come to a site for a variety of reasons, including store
hours, check return policy, check order status, write reviews - the list
goes on and on.
With a little work, you can identify and segment these visitors out
of the general population and measure their respective conversion rates
according to what they were looking to achieve on the site. Try
recalculating your overall site conversion rate with these people taken
out, as their intent was not to buy when they hit the site anyway. Not
only will you get a more accurate representation of the potential buyers
but you will gain greater insight into how well you are doing with
these other tasks. These interactions are important. Making the store
locator difficult to use or having convoluted return policy information
will ultimately affect a visitor’s decision on whether they want to buy
something from you in the future.
Get real
Some sites will give customers the option of buying an item
in-store and provide links to other sites to purchase from. Or perhaps
the product mix is such that not all items displayed are buyable online.
In both these cases, I see low conversion rates. But, that is to be
expected when you are helping people out the door and displaying items
they cannot buy. Businesses need not altogether stop these practices,
but instead may want to get realistic about how this practice affects
conversion rates.
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