Multichannel Marketing Metrics
with Akin

In the two years since publishing the Multichannel Metrics book, the face of marketing has changed drastically.

We are entering a critical crossroads in 2010.

By 2013, will we look back and find that this was the year when marketers from online and other marketing teams first realized how similar their goals have become and took steps towards integration across camps?

Or will we look back and find that the camps remained ignorant of each other and instead set in stone silo’d technologies making integration more difficult than ever? 

What do you mean, web and direct marketers’ goals are aligned now?

Marketers have had no choice.

Greatness has been thrust upon them!

Direct marketers

1. Have seen marketing dollars beginning to shift from offline to online
2. Finally see clearly that a large portion of interactions with their customers has moved online. For example, according to anecdotal feedback from several older European banks, 25% to 50% of their clients use online banking now. Some financial institutes acquire the majority, if not all, customers online.

Online marketers

1. Have had to abandon their silo’d, website-centric thinking because their websites are now only one component of their total web presence. Other presences include social media, mobile sites, behaviorally targeted ads and personalized emails.
2. They may continue to treat the offline as a step child for another couple years. Yet, they are already adopting multi-online-channel marketing practices for the purpose of integrating all these web presences.
3. The latter has required them to move from their traditional focus on aggregate level metrics and dashboards to looking at data about individuals across website, mobile, social, and advertising. This experience with individual level data will also make it easier for them to integrate their customers’ offline interactions down the road.

As a result, both online and direct marketers are now pursuing multi-channel data integration at the level of individual prospects and customers. Both camps do this for the purposes of

1. behavioral targeting,
2. better understanding of marketing ROI.

The technology gap is closing

While all vendors talked the talk for 360 degree views, the reality was different. Web analytics data was far removed from a direct marketers’ access.

• After all, the data are owned by the web team who couldn’t care less about individual level data at that time.
• The data are also hosted remotely at SaaS based web analytics vendors that prioritized reporting and good looking charts over granular data. As a result, data feeds (while available) would come with no SLAs. A feed might or might not arrive at the agreed time of night. That made it too unreliable for driving interactive (let alone real time) marketing programs.

Meanwhile, web marketers could integrate analytics based targeting into email marketing only by bridging the gap between several vendors and paying for integration services.

These technology gaps are now increasingly closing.

• Omniture is positioning its online marketing suite along with integrations with ESP partners through its Genesis program.
• Unica is positioning both
  • Its eMessage and Interact products for email and web personalization integrated with Unica’s web analytics and campaign management products for enterprise clients
  • Its recently launched Interactive Marketing OnDemand product where SaaS based customers use web analytics, email, and web personalization within a single application and UI.

The crossroads

This alignment of methods, goals, and technology represents our arrival at a crossroads.

But will we leave these crossroads into an integrated future or will we set in stone two silo’d multichannel worlds between online and direct marketing teams?

That is the big question.

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In part 2 we will look at direct marketers vs. digital. Then in part 3 we will review where multichannel web marketing stands in 2010.

Tags: Business Metrics, Direct Marketing, Multichannel Marketing Measurement, Multichannel marketing metrics, Web Analytics, multichannel marketing by Akin
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This wizard is for any marketer looking to get more results from their search engine pay-per-click (PPC) campaigns (and who doesn’t?). It walks the analyst through a series of steps for increasing results, e.g. by eliminating wasted spending, identifying missed opportunities, improving the persuasion process, or optimizing budget allocation.

Click here to start the wizard Click here for a bird’s eye view summary flow chart

The wizard is the second example of an expert system that aims to help web analysts with their complex work. Just at the beginning of this month I had released the first wizard, namely for troubleshooting a drop in conversions on a website.

Couple comments and observations:

• Just like a clinical decision support system isn’t meant to replace doctors, this wizard has no way of replacing the need for experienced web analysts, search marketers, or helpful consultants.
  • Doing the optimization still requires significant time and attention.
  • The wizard is just like a good adviser that has helpful hints but won’t do any of the work for you.
• While releasing the troubleshooting wizard I had been wondering whether the idea of an expert system would lend itself to problems that aren’t “troubleshooting” in nature but more of general “optimization” nature.
  • It turns out the idea makes total sense for optimization as well.
  • But you can easily see a big difference if you compare the bird’s eye view of the PPC wizard vs. troubleshooting wizard. Namely, the latter is a decision tree whereas this new one is more an exploration of various optimization areas.
• I still highly recommend the use of automated paid search management solutions such as SearchForce or Marin software. But if you review the wizard you will see that many areas for optimizing paid search involve tasks that cannot be automated.

I am not an SEM myself. So, this wizard will only become truly exciting with the help of user comments that can be added to any step of the wizard.

Look forward to hearing what people think and hope that this proves helpful.

Tags: Multichannel Marketing Measurement, Multichannel marketing metrics, Search marketing optimization, Web Analytics, multichannel marketing by Akin
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In a recent post readers and I mulled over the fact whether Amazon really is that cool with their customer analytics and interactive marketing as we keep saying in our industry. Or whether their real secret to success is that they simply offer the cheapest price.

To that effect, Jared Waxman was kind enough to leave another thorough comment as an ex-Amazon’ian. (or do they call themselves Amazones?) Thought, I’d point you to it so it doesn’t go under in its location within a past post.

Thanks much to Jared and Ned and others who commented.

Tags: Customer Centricity, Direct Marketing, multichannel marketing, targeting by Akin
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Other than “How about cookie deletion?” the second biggest question that I have received in the past year when discussing the topic of online-offline integration is the question about privacy.

• Will it be OK with privacy regulations if I integrate click data from web analytics with customer data in order to improve the relevance of my marketing communications?
• More importantly, will it be OK with web site visitors’ expectations?

The regulations side is usually a short answer for me. Mind you, the regulations seem rather cumbersome to read. But the bottom-line boils down to:

• Have a clear privacy policy on the site
• Make it as easy to opt-out as possible, ideally a single click
• Extra credit, if in addition to opt-out you allow the individual to set their own preferences of how they’d like to be contacted and on what topics
• In countries where it is required, work with opt-in

To me, the bigger question seems about site visitors’ expectations.

It may seem we are wearier of being tracked than ever. There is always a big outcry when Facebook et al announce a move towards ad targeting.

But in reality, we are much more public with our lives than ever. especially in our social networks. See this article for instance.

So what is it about this privacy thing that we really want?

The following examples help me.

Privacy in a store

We hate walking into a small store if the sales person is too much in our face and doesn’t let us browse the items on our own. Maybe we fear getting pressured into buying something before we are ready. Heck, we may well be browsing for entertainment and not thinking of buying anything at the moment. And the shop keeper that is in our face makes us feel bad about ourselves.

But we also hate being in a big box retail store and not being able to find someone to answer our questions when we are ready to ask them.

Really, we want the person to be right there — magically — just when we need their help but not before. And we love it if they understand us so well that they can recommend just what we will benefit from buying.

Privacy in a restaurant

We hate when the waiter is too much in our face, especially after we are done with the meal. Maybe we fear pressured in vacating the table for the next guests.

Just as much we hate it when the waiter is nowhere to be found when we need the check or want to order something (else).

The waiter should just — magically — refill the glasses as soon as they are empty. They need to be right there with the desert menu and our check just when we want it.

Magic???

How does it work in those stores and restaurants that do this well? Is it magic?

No magic.

The perfect shop keeper and waiter are super observant. They put a web analytics tool to shame when it comes to tracking our behavior.

But they aren’t in our face about it.

And they don’t pressure us into buying something or ordering an appetizer along with the expensive main course.

They are at our service.

And yet they still do bring us the best cross-sales offer at the best time.

Marketing so relevant that it feels like a service

I still cringe when I hear that marketing should be so relevant that it feels like a service. At first glance it seems a cheesy thing to say. It seems a utopian dream of techies like me.

But wait.

How about all those educational webinars on the web that I love to attend and learn from?

Guess what! The people doing them (e.g. me, myself) aren’t altruistic at all. Their purpose is purely marketing. They cost a ton of money, by the way. Yet, it is a service and doesn’t feel like marketing at all unless the speaker is too salesy.

There are other examples too:

• How about book recommendations on Amazon
• Movie recommendations on Netflix?

They tend to be quite relevant and not at all in your face. Ignore them easily if you want.

In fact, haven’t you come to expect and demand that any product page on a retailer’s web site will contain information on accessories that go with the item?

So, it can be done

These examples prove that marketing, in the ideal cases, can:

1. feel like a service
2. be not in your face and not pushy

My take away is that the combination of click and customer data, if used the right way, can absolutely enable service oriented marketing. But if you abuse it for span, you will cause all of us marketers to look bad and to lose out.
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(This post is part of a series on the state of multichannel metrics today, one year after the book came out.)

Tags: Business Metrics, Customer Centricity, Multichannel Marketing Measurement, Uncategorized, Web Analytics, multichannel marketing, targeting by Akin
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(This post is part of a series on the state of multichannel metrics today, one year after the book came out.)

The previous post focused on a travel company that listens to their customers’ online behavior so to get their cross-sales - or last minute - offers to those who are most likely to care.

Now how about the retail banking industry?

Retail banks and credit card companies have been great innovators in the use of analytics for direct and relationship marketing. For example, the case of CapitalOne is well described in the book Competing on Analytics.

For good reasons:

1. Banking is a relationship business.
2. Banks know embarrassingly much about their customers based on all those transactions and other data
3. And what is the profit from a new bank customer at the moment when they first open their account? Negative, probably, until over the life time of the relationship the bank makes back their initial costs (and then some)
4. Banks have learned that they are most successful with cross-selling products to customers within the first 30 to 90 days of the relationship. After that, customers seem to go on auto pilot with their relationship.
5. Banks also have learned that new customers are most at risk in the beginning of their relationship and may spring back to their previous bank if something goes wrong.

So banks plan out all their customer communications very carefully by predicting which offer or message sent to which customer at what time is most likely to amount to maximized net present value.

(You might joke that we wouldn’t have the stupid mortgage crisis today if the direct marketing departments had been in charge of their banks)

So why is it then that many banks are such laggards when it comes to online offline integration?

Few industries have it easier.

• You visit your bank’s web site frequently
• You are almost always logged into your account when you go to your bank’s web site.
• There is a big incentive for not deleting your cookie so that you won’t have to go through all those annoying security questions to “register” your computer.
• Quite likely you even clicked the “remember my user ID” option so that even the bank’s home page greets you with “Hi Joe, welcome back”

All your bank’s products are outlined online so you have it easy to answer your own questions.

Looking for a car loan or savings account?

Likely you check rates online.

So … hellooo … is anyone listening?

Customer 1:  European bank cross-sells savings accounts

It seems a no-brainer.

The bank, with the help of a nifty online marketing consultant, mined their web analytics and customer data for clients who

• have a checking account
• but no savings account
• YET who have recently been on the web site looking at savings rates.

All it took was a feed from web analytics looking at web pages relating to savings accounts and keyed by login-name of customers.

For extra credit, they could have extended the campaign to those who weren’t logged in but whose cookie was previously registered during an authenticated session.

According to the consultancy, the campaign was easy to do and very lucrative. So they are expanding the program.

Customer 2: Stock brokerage looks at web data to cross-sell options-trading

Another no-brainer.

Options-trades are a great way for an online stock brokerage to increase transaction volume and to lock in clients into a tighter relationship.

But options are risky and somewhat more complicated than trading stocks. So they aren’t everyone’s cup of tea.

Who is ready to receive the cross-sales offer?

Could it be those clients who are not yet authorized for options trading but who have recently been on the web page studying the process of how to sign up for options trading?

You betcha!

So what are the couch potatoes waiting for?

Legitimately, banks want to make sure that they stay within the accepted norms for privacy. The online-offline integration feels very new to them. So bankers are quick to throw up their arms and say that their hands are tied by the privacy rules of their organizations.

Are banks really that concerned about our privacy though?

Every night banks crunch through our daily account transactions to watch for unusually large deposits so that they can quickly bring us a cross-sales offer before we move the money elsewhere.

How is that for privacy!

Personally, I think that some of the arguments that we hear today are similar to what happened when the first train came out. Namely, it was said that traveling at the never-before-heard speed of 20 MPH was not healthy for human beings!

No doubt, we will see more banks review the opportunities very carefully. Innovators are already tapping into the integrated data. Others will follow.

In some future edition of Competing on Analytics we may well hear about some bank that rode the opportunity out to their advantage.

Tags: Customer Centricity, Multichannel Marketing Measurement, Multichannel marketing metrics, Web Analytics, multichannel marketing, targeting by Akin
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