9 ways to boost customer loyalty with Marketing Automation

I'm not a big fan of the lists, but it makes it convenient to talk about a few of the concepts.  Marketing automation is a very important tool for the digital marketer.  I will even go as far as saying it should be the center of the digital marketing universe.  Because digital marketing grew up as being web, this is not a popular view among digital marketers, but that doesn't mean it's not true.  

Gathering knowledge allows to build relationship: the more you know about customers, the more relevant offers you can address. Personalization is impossible without advanced behavioral and transactional analytics.

Marketing automation starts and ends with data.  Data is the basis for running any marketing automation tool.  Without a good data collection and architecture strategy, marketing automation will be hampered to a degree.  It also ends with data because the capturing of the behavior driven informs the next decision.  It is cyclical as far as data collection is concerned.

1:1 Marketing. Dynamic content and e-mails are the base of long-lasting bond with customer, because they show that you treat him individually and adjust offers to his/her particular needs. Also find opportunities to say thank you to them, ask for opinions and suggest complementary products

1-to-1 marketing is the dream.  To cost effectively do this is still farther out, but we are getting close.  The problem becomes content.  To effectively market to each person in the database is unrealistic, but start at the top.  What would it take to market to the top 10% of the database on a 1-to-1 basis.  Start from there and then try to go farther into the customer base.  

Use analytics to improve content quality: with content marketing you can not only educate your customers, but also discuss values you share, what is crucial for establishing loyalty. 30% of customers say that shared values are one of 3 top reasons for being loyal to a brand. Hence invest in content and optimize it. Read more about content marketing and marketing automation synergy.

Good content can be scary for marketers.  The time and effort to create such content is time consuming and costly, especially in the form of man hours.  It is also hard to quantify the results, which normally don't start to materialize for many months.  However, great content builds a relationship with the brand.  Storytelling and guides for customers help them relate to the brand better than most advertising.  Let the analytics guide the decision.  If customers are buying bathroom products from Home Depot, don't send them content about building a fence.  A great timed "how to" on bathroom design could go a long way to loyalty and upsell opportunities.

Measure: don’t just repeat common knowledge that making actual user buy is 7 times cheaper that bringing new one. Use advanced analytics offered by Marketing Automation Systems to measure ROI of your loyalty improving actions, and optimize them.

The crucial part to any marketing automation strategy, how are you going to measure the results?  This thought process usually comes at the end, but it should start at the beginning of your marketing automation journey.  The first thing your boss will ask after the marketing automation system goes live is "how are we doing"?  You need to not only be able to answer his questions, but you need to answer that question for yourself.  Marketing automation campaigns are living and breathing entities.  They are never finished and they need to continually evolve.  The only way to determine the evolution is by understanding the results.  

What does it mean to be a data-driven marketing success in 2015?

Ian Michiels writes for mycustomer.com:

Micro segmentation over 1:1 personalisation

Even when data is readily available to inform highly targeted engagement, someone actually has to produce the creative and copy to trigger the engagement.

I was on a panel at an Adobe event late last year when the topic of 1-to-1 marketing came up.  I have always been a huge advocate of trying to get as close as you can to 1-to-1 marketing, but that comes with a caveat.  The cost to get to the elusive everyone is individualized is massive.  When I say as close as you can, what I mean is start from the top of your customer list (not by alphabetical order, but by some worth and frequency or potential worth metric) and work as far down that list as you can to create 1-to-1 marketing for your best customers.  The other customers you want to have as many segments as makes sense, but always allow the data to drive those segmentation decisions,  

Automating up-sell and cross-sell campaigns

Marketing is the only function in the business that actively communicates across the entire spectrum of the customer lifecycle, from the inquiry to a loyal customer. That raises two very interesting questions that data-driven marketing has answers for:

• Should marketing own the customer lifecycle?

• How should marketing allocate time, budget, and effort across the customer lifecycle?

As I commented on recently in my article Retention is King, retention's the first place I start when implementing a marketing automation program.  The customer lifecycle should be owned by marketing.  Marketing has all the tools to automate the communications in the relationship and target based on behavioral and demographic data.  When it comes to the question of time allocation, make sure the retention programs are dialed in.  They will never be finished and you will always be tweaking, but then you can move on to acquisition and reactivation.  It is much easier to cross-sell or up-sell a loyal customer than it is to acquire a new one.

A/B testing on landing pages and email campaigns

According to the 2014 Gleanster Marketing Resource Management report, only 60% of small and mid-size firms conduct A/B tests on email, landing pages, and website properties. It’s actually shocking to learn how much you really don’t know about your customers when you run A/B tests on creative and copy.

In sales they say "ABC", Always Be Closing.  In marketing automation and data driven businesses we should say "ABT", Always Be Testing.  The caveat to this saying is there needs to be an understanding of a baseline first.  So if you are implementing a new program, let it run for a bit (unless it is a total disaster), use analytics to look for opportunities and test those opportunities.  Don't just test for the sake of testing, always let the data drive the opportunities and then test the hypothesis.

Machine learning is your best friend

One consistent theme that keeps coming up in our advisory sessions is that marketers want help in data analysis. Thanks to advances in computing power, data analysis that previously took days can now be done in seconds and often in the cloud. Machine learning applies rules to data sets and looks for correlations between data. Does this do the job of a marketer? Heck no! What machine learning does for marketing is help isolate trends that should be investigated further. Marketers still need the context about customers and products to translate those correlations in the data into action.

As I said just above, let the data drive your testing.  Machine learning and data mining techniques can uncover insights within your data that the human eye could never perceive just by looking.  Many marketers want a predictive modeling tool to spit out an answer as to what they should do and just go do it.  If that were the case, why do we need the marketer?  It is important to make sure to understand what the outputs of these tools provide and test their findings.  Without the business acumen, the output could be very flawed.  Don't jump to a conclusion, use the insight to form hypothesis about your customers and test away.  Remember as I wrote before, Data + Insight = Action.

DIB Digital Trends Report 2015_EMEA Part 2

In part 2 of reading through the Digital Trends Report for 2015, The next part has to deal with the areas of digital related business.  The big surprise to me is how high social media engagement ranks on this list.  Multichannel campaign management is still not receiving its rightful mindshare in organizations.  At 22%, this area should be right up there with targeting and personalization, it is that important.

I find these next responses fascinating.  The difference in this year and the next 5 years, especially in the area of multichannel campaign management is perplexing to me.  This is the age of campaign management and the respondents are thinking 5 years out.  That boggles my mind.  I do like that respondents are thinking customer experience is the most important item, but that is more of a culture change compared to the other items.  All the other items support the customer experience.  The fact that customer experience is viewed as a tactic or strategy is why I think this item will be talked about for years to come.  Multichannel campaign management, personalization, big data and content marketing are items that will enhance the customer experience, so these items are all striving for the same goal, to deliver relevant content to customers to enhance their experience.

This part of the study is a little perplexing to me.  Organizations want to enhance the customer experience, but there very little is being done in the area of geo-targeting.  Only 24% have this in their 2015 plan or are already using this technology.  For brick and mortar operations, this is the most exciting technology to me.  Using this in conjunction with multichannel campaign management is the ultimate targeted marketing.  

Even if the uses of this technology are just to enhance the data about customers, organizations should be implementing this technology sooner rather than later.  The ability to understand the behaviors of your customers in store and communicate with them if they exhibit certain behaviors is no different than how a customer behaves on a website.  Digital marketers have been enhancing their strategies on customer buying funnels on the web for years now, but not enough are jumping at the opportunity to do the same thing in brick and mortar operations.  

A good sign is importance organizations are putting in the cross channel journey of their customers.  The top 2 answers are what make up a big part of the customer experience.  The clear, concise message, regardless of the channel is the key to the ultimate customer experience. 

This is probably the most concerning part of this survey.  Most companies want to make customer experience across channels their number 1 priority, however the data is still an issue with most companies.  Only 37% of the companies feel they have the ability and the infrastructure to capture and act on the data.  

In the new age of marketing, data is the first and most important step in the marketing strategy.  Without laying a data framework to capture and properly analyze, the ultimate customer experience will be nearly impossible to implement.  Companies to focus on the data as much as the culture of being customer centric.  These two items go hand in hand.    

DIB Digital Trends Report 2015_EMEA

I'm reading through the DIB Digital Trends Report for 2015 and there is some interesting tidbits.  For one, on Figure 5, what is the most exciting opportunity in 2015 vs last year.  Customer Experience has jumped into a huge lead, while Mobile and Social have fallen.  Why is this?  I believe organizations are starting to realize that both of those decliners are just channels.  Channels for your content to create great customer experiences.  Mobile shouldn't be your strategy any more than email.  I view content marketing and personalization as the same thing.  If your content isn't personal, then work needs to be done on your content.  However, I understand why they are separated here.  I believe multi channel campaign management needs to rate higher on these lists.  This is the engine that will run most of this,

Another interesting section is asking what companies plan on how they will differentiate themselves from their competitors within the next 5 years.  The report states they are surprised that price is only 5%.  I believe organizations will try to differentiate through customer experience, and maybe there is some bias in the respondents, because these companies are probably a little more innovative than the typical organization.  I believe companies tend to fall to price differentiation because it is the easiest way to gain sales and market share.  

Number 1 and 2 are intrinsically related.  As I wrote here, companies that focus on design will constantly look to improve on 1 and 2.  A design first mentality puts the experience and the quality ahead of all else.  Companies who are answering these questions should be looking to change their culture to a design culture before tackling these differentiators, or else the strategy may fail.

Strategy does not work without the culture to back it up.  The fact the respondents have listed strategy before culture leads me to believe these initiatives have a higher chance of failure.  If the culture of the company does not support the strategy, it will take too large of an effort to accomplish being customer first.

These are my thoughts halfway through the document.  Tomorrow I will comment on the next piece of the document.  Very interesting stuff.  Organizations are saying the right things, but with anything, it is all in the implementation.  The next 5 years will be very exciting indeed.

Why Netflix walked away from personalization | ThoughtGadgets

n 2006 Netflix offered a $1 million prize for anyone who could improve its movie preference recommendations by 10%. Netflix, at the time, made most of its money sending DVDs in the mail to users’ homes

Mathematicians went wild. The competition was lauded by business pundits as an example of crowdsourcing genius. Because this was damned hard math, the project took years. And then in 2009, a team of mathematicians called “BellKor’s Pragmatic Chaos” actually cracked the code, achieved a 10% lift, and Netflix gave them the $1 million.

And then … Netflix never implemented the winning algorithm. Because personalization at that point no longer mattered.

Personalization has been such a buzzword for so many years.  Netflix was one of the poster children for this.  It's interesting to look at articles like this and understand they really don't utilize it like say an Amazon does.

In fact, this article is very critical of Amazon and I'd have to agree.  Amazon has decent recommendations, but it seems to be a fairly basic market basket model that shows what others who bought similar items.  That may be the best way to offer items to customers.  Amazon has all the money in the world for R&D, in fact they flaunt how much money they put back into their business and if they are using this model, it must mean the personalization models of predicting other types of product must not bring in as much as the market basket.