If
you are like most companies, your paid search budget is one of your
largest and most important marketing line items. Knowing how to manage
that spend is critical to not only your growth, but your profitability
as well.
In
the early days of search, managing budget was easy (or so we all
thought). The Internet was the age of ROI. “Everything is trackable!”
we cried aloud with glee. My, my how times have changed. These days,
understanding your Return On Ad Spend (ROAS) is more critical and more
complicated than ever.
Fear
not, however, there are a few key guidelines you can use to help
determine the appropriate performance targets for your paid search
budget. To be clear, this list is far from exhaustive. Each industry
and each company has its own unique set of circumstances that need to be
taken into account. However, these guidelines will take you a long
ways towards maximizing one of most important investments.
Understand Incrementality
One
of the biggest keys to understanding marketing effectiveness is to get a
feel for how your various marketing programs interact with one another
and your customers. Marketing programs do not operate in silos. Email
drives affiliate sales; Paid Search drives Direct Load, etc. etc.
Knowing, or at least having a feel for what incremental sales a program
delivers is critical to knowing what spend thresholds to set.
There
are some great and free tools to use to help you determine this. You
can of course use some of the assisted metrics within Google Adwords
itself to give a basic view. This will help you see conversions that
had a paid search impression or click involved in them. This doesn’t
give the full picture, but directionally let’s you know what influence
paid search is having on other channels.
Google
Analytics is a great tool for understanding incrementality. Listed
under “Conversions/Multi-Channel Funnels” the two reports called
Assisted Conversions and Top Conversion Paths are goldmines of free
data. These tools will help you easily visualize all the marketing
programs (as long as they are tagged with Google Analytics UTM tags)
your customers are interacting with, in what order, and how many times.
You will be amazed at the actual paths your customers take to decide to
purchase from you. Who would think people would click on your paid
search ad 7 times in a row (for example) before making a sale?
Seeing
and leveraging the most popular paths will help you structure your
marketing spend appropriately. In a recent analysis I did for a
retailer, we learned that less than 20% of orders being credited to Paid
Search contained only paid search marketing. The remaining 80+%
actually registered as email, affiliates, direct load or some other
channel due to relying on last click attribution, yet those transactions
also included a paid search click at some point. This is because paid
search tends to be a program that introduces new customers to your
brand, leaving other programs to often close the sale. While you need
to be careful to not go too far the other direction and overspend,
knowing all the programs that paid search impacts helps you set budgets
accordingly and not falsely constrict other marketing channels by being
too conservative in your spend.
Understand Cross Device Performance
I’ve
witnesses a fascinating phenomenon in many retailers lately. Many
believe their traffic is growing faster than it really is. They often
add up their traffic from desktop, tablet and mobile devices and
proclaim success at how much they are growing. While it is likely true
that they are experiencing growth, if for no other reason than the
continued growth of Ecommerce, what they often fail to see is that much
of this “Growth” is in fact the same person coming to their business
multiple times from different devices.
This
is something retailers didn’t have to contend with just a few short
years ago, or at most they might have to deal with someone shopping from
a computer at work and at home. Now though, customers are often
interacting with 3, 4 or even more different devices before making a
purchase decision. In fact, a recent study by Deloitte found that 84% of people, who start shopping online on one device, finish their transaction on another device.
Understanding
how customers find you on each device type is critical to efficient
spend. Paying good money to be found on a desktop, only to have a
customer not able to find you on a mobile device because your paid
search program isn’t in good shape, only drives down performance and
increases overall cost.
There
are many ways to work on closing the cross-device loop. Perhaps the
best is to create value for your customer to log in to your site on
whatever device they use. This helps you tie their sessions and data
together in order to leverage your marketing campaigns and spend.
Including customer loyalty programs in your brick and mortar stores
further closes the loop and puts you in position to capitalize on the
value of Omni-Channel marketing.
Even
without those tools though, you can take advantage of cross device data
through Google Adwords. Found under “Conversions” in Adwords, the tool
is far from perfect, relying heavily on estimations. However, even
having a guide post to understanding potential cross device performance
will help ensure you maintain visibility for your customers in all the
places they look for you.
Track Your Variable Marketing Profit Contribution
You
presumably want to drive profit, not just sales. This means you should
be tracking your spend against the variable profit contribution that
each marketing program and sale provides. While the equation can vary
by company, a good rule of thumb is to account for costs that vary with
each new transaction. Typically this involves the cost of goods sold,
credit card fees, shipping costs, and even things like a percentage of
contact center costs, employee headcount and of course the advertising
spend itself.
The simple equation I have found most effective is:
Net Sales – Net COGS – Net Shipping costs = Gross Product Margin (GPM)
GPM – Credit Card Fees – % General Administrative Expense – Advertising Cost = Variable Marketing Contribution (VMC)
By
then taking Variable Marketing Contribution and dividing it by the
number of transactions attributed to a program, you get a target cost
per order that you can manage to. As long as the resulting VMC is above
the level you need to be profitable as a company, you are reasonably
safe to continue investing, as each new transaction will add profit to
your business, not just top line sales.
Understand Customer Life Time Value
A
big mistake many retailers make is managing their programs off of an
individual order. If you are like most brands, your goal, and hopefully
your reality, is that customers will purchase from you more than once.
Making paid search performance decisions off of a single order in
isolation can severely limit your potential to acquire new customers.
A
good practice is to determine the lifetime value of your customers.
That is to say, after they make their initial purchase from you, how
much revenue and profit are you likely to get from them in the future?
The time threshold you track should vary by business, but most will
track this over a 1-3 year period.
A
great exercise is to then determine how much of that future profit you
are willing to spend to acquire a new customer. Let’s say your average
order value is $100. Then let’s say the average customer spends $600
with you over the next 3 years, and they do that at a 40% product
margin. This means, after the initial sale, you are likely to make $240
in additional margin over the next three years from the customer.
Now
you just need to decide how much of that you are willing to spend to
acquire a new customer with similar attributes? Again, the numbers will
vary wildly by company, and they will likely be different based on
product groups, the time of year your customer transacts etc. but the
methodology will get you to a number you can work with. Are you willing
to invest a year’s worth of incremental margin to acquire a customer?
18 months? Knowing this gives you a foundational element of setting
your cost per order metrics for Paid Search.
Put it all together
The
bigger you get, the more sophisticated the tools you can apply to the
concepts described above. Huge, Billion dollar retailers have extremely
large budgets and whole teams dedicated to doing the calculations we’ve
discussed here. However, you don’t need to be a huge retailer to get a
strong feel for the key performance metrics you can use to drive
marketing decisions and compete with the big kids on the block. By
leveraging free tools like Google Adwords and Google Analytics, doing
some basic math in Excel and reviewing your customer and merchandising
data on a regular basis, you should be able to spend with confidence in
paid search.
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