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.

—

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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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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For all that buzz around Amazon’s sophisticated analytics and its targeted book recommendations, it is worth asking in Kevin Hillstrom’s priceless, heretic style: Is it just hype or does it really make the big difference for their business?

Do we really buy from Amazon because of the recommendations, personalized emails, the behavioral targeting through widgets?

Or do we buy from Amazon because they always have the cheapest price? (Not to the least because of the 3d party vendors and used books that are linked in.)

If they stopped being the least expensive would we still be buying from Amazon?

In other words, are they really competing on analytics? Or are they competing on price?

What is our willingness to pay extra for the kind of “marketing as a service” that Amazon has perfected?

Of course … this question isn’t really about Amazon, in the end. Much rather I am trying to double check what the true value of sophisticated analytics and targeted marketing are. All hype aside.

Separate things: What you will buy vs. where you will buy it

There is no doubt that Amazon is the go-to place for doing your research on books.

But being the greatest place for researching books doesn’t necessarily mean that people will buy the books there if they can get them cheaper elsewhere.

I imagine we all go to many web sites to research what car, electronics, gear, etc. we should buy. Where we will buy the item that we settle on tends to be a different question though. We might check on eBay or Craigslist, for example.

So are we giving too much credit to Amazon’s sophisticated analytics and marketing?

The answer …

As Anil Batra was joking yesterday when I saw him at the OMMA Metrics and Measurement in San Francisco, a typical consultant’s answer to such a question could be: “That depends on … what it depends on.”

It depends on …

Of course, I don’t have Amazon’s data. But I think that the answer will indeed differ by buyer segment:

1. High value prospects that buy books frequently and in higher quantities will likely appreciate the convenience and time savings. But given that these people buy so many books they would also be the segment that could get the biggest total savings by being disloyal to Amazon.
2. Infrequent buyers that are strapped for time will value the convenience over a few bucks of savings per book.
3. Infrequent buyers that are strapped for money but not for time would be more likely to put in the extra 5 minutes for buying the book at the cheapest vendor. Most books aren’t big ticket items. So this effect will likely be much less pronounced than, say, with electronics. But it would be there to a certain degree.

In the end, maybe the answer has not all that much to do with frequency but is a function of

• how much money vs. time buyers can save.
• how much value the individual puts on money vs. time

Time is money and money can buy time

The more time Amazon can save its book researchers, the more of them would buy their books on Amazon (assuming price is fixed). Still, those buyers who value money a lot more than convenience and time would be the hardest, if not impossible, to keep.

Anything else they could do?

Barnes and Noble has (or had) essentially a frequent buyer card. You could pay an annual fee and would get x % discounts on anything you buy.

But that really is just a return to the strategy of competing on price.

Could Amazon withhold access to book research features unless a buyer … purchased something in the last 12 months or joined some kind of for-pay club? That would be a return to subscription based content. Seems like it would backfire badly.

Bottom-line

It appears that the true value of all those analytics and targeted marketing for the retailer are in drawing the crowd into their (online) store. They get a shot at making sales (and cross-sales) that they wouldn’t otherwise have.

But converting researchers into buyers requires more than just targeted marketing. It also requires convenience, a “good enough” price, and of course customer satisfaction with previous transactions.

How would you go about measuring the value of targeted marketing effort XYZ?

If you have to measure ROI of targeted marketing effort XYZ you would probably do it through controlled testing.

That would be easy for Amazon’s targeted emails.

It would be harder for their book recommendations because you would wonder where they disappeared to if you fell into the control group.

Oh … but you could make them deliberately untargeted. Say you find that dinosaur book that the individual bought and shipped to somebody as a gift 3 years ago and recommend more dinosaur books.

Tags: Customer Centricity, Direct Marketing, Web Analytics, 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.)

In a subscription based business model, e.g. mobile phone service, you have two ways to make a customer:

1. gain a new one
2. renew an existing one, i.e. retain them

When Unica’s clients from the mobile phone carrier industry report about their work they invariably start by describing how vital #2 is to their industry.

The market for mobile phone services is so saturated that the only way to gain a new client is to take them away from a competitor.

Sounds like a place for marketing innovation.

A few innovative Telcos have hit on ways to combine online and offline worlds in order to improve their success rate with retention marketing.

As I learned from one of my colleagues last year, here is how one company went about it.

Online-offline integrated analytics for detecting attrition signals

At a large US mobile phone carrier, traditional retention marketers were working on predicting which customers were about to leave for the competition. These clients would be included in retention marketing efforts.

Originally, the statisticians had been going after this job the old fashioned way, i.e. trying everything from a customer’s contract details to transactions (i.e. usage) and demographics details to find something that would predict attrition.

But the only variables that showed any influence were the age of the subscriber’s phone device and the amount that they paid on the last bill.

Not exactly enough to catch someone in the hot act when they are about to walk out through the door.

Yet, it was going OK.

To put it in numbers, the marketers were able to reach 70% of customers at risk of leaving by contacting 40% of the possible audience. So their predictive models were giving them some amount of lift.

But wait a minute … If someone is thinking about switching would they not likely be coming to the web site and doing something on there that deviates from their usual click behavior?

Might they not be checking available promotions or upgrades or ways to strike a deal?

The idea seemed so promising that the statisticians gave it a go.

They took a chunk of historical web data for registered clients. They paired that up with the same customers’ historical churn data in order to train a predictive model (along w/ the offline data).

And what they found was impressive

Indeed there were predictive click behaviors on their web site but it wasn’t intuitive.

• Clients on a low subscription contract would have one kind of online signal that revealed their intention, e.g. address change.
• Clients on a higher rate plan however turned out to send a different signal with their clicks.

The numbers rewarded them.

Now, when contacting 40% of the potential list they were able to reach an extra 15% responses for a total of 85% of potential responses.

That doesn’t just means lots of stamps and mailers saved.

It means foremost saving the cost of special discounts that they would have extended unnecessarily to clients who weren’t thinking about leaving anyway.

Highly worthwhile.

Real time?

Most of the online-offline integration case studies that you may have read about in this series were of interactive nature, i.e. online click behavior would prompt action within a short period of time.

Here we have an example of how a company first took a historical chunk of data to train their model. No real time needed here.

But now that the model has been trained, fresh web analytics data would be fed to it regularly in order to keep predicting current customers at risk.

The morale

This is yet another strong business case for integrating online and offline analytics.

No wonder the case is strong. After all

• The case for competing on analytics is strong.
• The case for using behavioral data is strong
• Click data is a rich lather of behavioral data

It is time for the lollygaggers to stop acting surprised and jump on board!

Tags: Customer Centricity, Direct Marketing, Multichannel Marketing Measurement, Multichannel marketing metrics, Web Analytics, 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 posts focused on companies accelerating conversions from online to offline. Here now comes an example of cross- or repeat-sales. This time from the travel industry.

The company is Collette Vacations, a provider of global travel and escorted tours to more than 150 destinations. 91 years old, the company is far from old fashioned.

Other than their multichannel approach to marketing, what does Collette have in common with the previous three businesses that we examined (automotive, B2B, and real estate)?

All 4 examples are in the category of highly considered purchases. I.e. Collette’s tours to Antarctica, or Oberammergau aren’t something you book in a rush. Much more typical is that customers research their options online, watch available videos, sign up for a live presentation, and eventually book after clarifying all their questions, maybe by email, chat, or phone.

Last minute travel

Now, something that I learned from Jukka, at The Mileage company, is that travel business is very tricky business.

You wouldn’t guess from the outside.

But one of the many tricky aspects is that travel products are perishable goods just like tomatoes at the grocer.

You can’t sell a hotel room one day after it has been standing empty.

So what to do when Collette has vacation seats to Barcelona on sale and they need to find buyers quickly?

Should they spam their entire email list as a marketer would be tempted to do? Collette thought better.

Protect the future value of your email list

Email marketing is tricky business too. Email too often and while initially you may get results, eventually you burn the attention of your recipients. After all, except for cases when a tour sells out completely, there would always be last minute sales to promote.

If you were a spammer you would find reason to send spam every day. Yet, your future emails would likely remain unopened or go into the spam folder.

So, a year ago, Collette decided not to fall into that trap. Instead they connected their web analytics with their email campaign management system.

When, for instance, Barcelona vacations are on sale they have targeted the announcement to the segment of web site users that have recently spent time browsing web pages related to Mediterranean vacation options but haven’t recently been purchasing travel.

Not surprising that this segment is much more likely to care about the promotional announcement than the average population.

The sausage making

But how to connect web site visitors to their email addresses?

Collette’s web site permits registering online in return for something of value, e.g. the ability to save a wish list of vacation destinations. Along with online registration, it is best practice to save the login (or persistent cookie) that is created in conjunction with the provided contact information.

That info forms the basis of being able to listen to an individual’s clicks so to know better about the kinds of vacations that they may find of interest.

As Collette’s privacy policy states, customers have many options to opt-out. But if they do remain opted-in, “Knowing how you use the site enables us to better tailor our content and services to most effectively suit your needs.”

The Results

The official case study with further details on Collette’s implementation is available for download. Among some of the results that Collette shared is that their flagship, “welcome” campaign performs 30% above industry average.

The Morale

The hardest thing about this is not at all the technology in my opinion. But it is for the business to come up with ideas that entice visitors to register with their accurate email information. What value are you going to provide to your clients so that they will give you the email address where they actually do check their messages?

And since cookies are deleted eventually and people use multiple devices to browse the Internet it isn’t even enough to get a registration only once. Rather, the business needs to entice visitors to login periodically so to keep the data trail alive.

One would wish this was easier.

But what I like about this challenge is that it keeps marketing real. We have to provide value to the customer for the permission to include them in our analytics and the permission to communicate.

Two-way value has always been the basic ideal behind CRM.

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