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.  

The State and Drivers of Data Marketing

What matters most is the optimization of the customer experience, relevance and (perceived) customer value as a driver of business value. Data-driven marketing certainly is not (just) about advertising and programmatic ad buying as some believe. Nor is it just about campaigns. On the contrary: if done well, data-driven marketing is part of digital marketing transformations whereby connecting around the customer across the customer life cycle is key.

Very succinct vision of what data-driven marketing is, it's all about the customer experience.  The advent of "big data" was nothing more than gathering extra data about the customers.  Gathering data is only the first step of the process, albeit a time-consuming one.  The good news is after the hard work of gathering the data has been completed, the harder part starts.  Once you have data, making sense of the data and creating actionable outcomes to enhance the customer experience becomes the goal.  This is very hard work.  It takes plenty of analysis and insight to reach this goal.  But the companies who will do this the best will be the ones that succeed in the digital age.

Among the key takeaways of the data-driven marketing report by the GlobalDMA:

• 77% of marketers are confident in the data-driven approach and 74% expect to increase data marketing budgets this year.

• Data efforts by far focus on offers, messages and content (marketing) first (69% of respondents). Second ranks a data-driven strategy or data-driven product development. Customer experience optimization unfortunately only ranks third with 49% of respondents.

• Among the key drivers of increased data marketing: first of all a need to be more customer-centric (reported by 53% of respondents). Maximizing efficiency and return ranks second followed by gaining more knowledge of customers and prospects.

I believe the first step in the process is understanding where the puck is going to be and skate in that direction.  Marketers are understanding this data revolution is coming and they are saying the right things in surveys.  The real question will be how to get there.  It's easy to identify problems, it's hard to implement solutions.  The marketers who will show they are adept at change will thrive in this new paradigm.  

Customer analytics is something I have focused my entire career.  In the casino industry we have had the optimal opt-in mechanism for many years and have collected amazing amounts of data about our customers behavior.  We have used this to create targeted marketing campaigns to our customers, so I believe in the direction the entire industry is taking.  Always start with the customer.  It will lead to creating better experiences and more profitable results.

 

The Dangers of Data-Driven Marketing

Marketing has gone digital, and we can now measure our efforts like never before. As a result, marketers have fallen in love with data. Head over heels in love—to the point where we want data to drive our marketing, instead of people, like you and me. I think this has gone too far.

I'm a big proponent of data-driven marketing, in this article Ezra Fishman uses semantics to say this is bad, but what he is trying to get is there is a need to go beyond just the data.  As I wrote in Data + Insight = Action, data all by itself cannot create actionable outcomes.  

Data-informed marketing

Instead of focusing on data alone, data-informed marketing considers data as just one factor in making decisions. We then combine relevant data, past experiences, intuition, and qualitative input to make the best decisions we can.

Instead of poring over data hoping to find answers, we develop a theory and a hypothesis first, then test it out. We force ourselves to make more gut calls, but we validate those choices with data wherever possible so that our gut gets smarter with time.

This is what I was trying to articulate in my article.  To be an excellent data-driven marketing organizations takes a little bit of "science" and a little bit of "art" to determine the best course of action.  When a data scientist is driving your organization, there are years of experience being unused to help him understand even further what the data is saying.  

Most times when a data scientist is off on their own, it takes an inordinate amount of time to come up with a conclusion, mostly because they lack the context of how the business is generating the data.  How the strategy manipulates the data.  How a customer being underserved may be an intentional outcome.

The ease of measurement trap

When we let data drive our marketing, we all too often optimize for things that are easy to measure, not necessarily what matters most.

Some results are very easy to measure. Others are significantly harder. Click-through rate on an email? Easy. Brand feelings evoked by a well-designed landing page? Hard. Conversion rate of visitors who touch your pricing page? Easy. Word-of-mouth generated from a delightful video campaign? Hard.

Right on!  Of course the organizations that take the easy way out are ones that I would not consider to be data-driven.  KPI's are a great item, but they can be deadly.  There are usually so many moving parts that make up the business and the data being generated.  This can cause business KPI's to look fine, yet drilling down into the performance from a customer perspective may show some very scary trends that would cause alarm.  However, a non data-driven company will continue with their strategy because of the KPI's (hello RIM/Blackberry).  

The local optimization trap

The local optimization trap typically rears its head when we try to optimize a specific part of the marketing funnel. We face this challenge routinely at Wistia when we try increase the conversion rate of new visitors. In isolation, improving the signup rate is a relatively straightforward optimization problem that can be "solved" with basic testing.

The problem is, we don't just want visitors to sign up for our Free Plan. We want them to sign up for our Free Plan, then use their account, then tell others how great Wistia is, then eventually purchase one of our paid plans (and along the way generate more and more positive feelings toward our brand).

This can be combined with the previous bullet.  When analytics is only seen from a high level, simple statements like "we need to increase the number of signups, which will flow down at the same rate as we currently have, will increase conversion."  Nothing could be further from the truth.  To increase anything there needs to be an additional action.  This action may include advertising to a different group of individuals or giving an incentive that will increase signups.  The issue with this thinking is these aren't the same individuals that are converting in your current funnel.  The proper strategy is to figure out the converters and try and target customers like them, which may actually decrease the size of the funnel if done right.

The data quality trap

We are rarely as critical of our data as we ought to be. Consider, for example, A/B tests, which have become the gold standard for marketing experimentation. In theory, these tests should produce repeatable and accurate results, since website visitors are assigned randomly to each page variant.

In practice, however, there are lots of ways even the simplest A/B tests can produce misleading results. If your website traffic is anything like ours, visitors come from a variety of sources: organic, direct, referral, paid search, and beyond. If one of those sources converts at a much higher rate than others, it's easy to get skewed results by treating your traffic as a single, uniform audience.

One should rarely just take the conversion or redemption results from the A/B test without digging into the data.  Making sure all segments are driving the results is key.  Don't take for granted the customers that were randomly selected for each group ended up being totally random.  Ensure there was proper representation from each segment of the business and identify any other changes that could be tested based on different behaviors within the segments.

Data vigilance

As marketers, we should continue to explore new and better ways to harness the power of data, but we also must remain vigilant about becoming overly reliant on data.

Data can be a tremendous source of insight. Harness that. But don't pretend it's something more. And definitely don't put it in charge of your marketing team.

This reminds me when I was a product manager and we would receive these RFP's to determine if we were the right company to supply them with our product.  Sometimes the requirements were such that we wondered if the company wanted humans to continue to work for them.  I would comically refer to some of these as automated manager.  It seemed companies wanted to press a button and have a system do everything for them.  This is the trap Fishman is referring.  Humans have great insight.  Humans are the "art" in the equation to actionable outcomes.  This is equally important as the "science".

Shoot for the Stars! 4 Ways to Bring It with Your Marketing Automation Platform

...marketing automation is an all-in-one marketing powerhouse, allowing you to generate leads, follow up with consumers, and even demonstrate return on investment. Think of your marketing automation platform like it’s a video game. Lead scoring and personalized email campaigns are just the first level. As you move up through the levels, you access more gold coins, superpowers, and additional lives until you are a powerhouse marketing machine! Below are four ways to move on to the next plane of marketing automation…and you don’t even have to battle the boss to win the game!

Many companies who purchase a marketing automation platform are doing it with a few use cases in mind, but embracing your marketing automation platform can change the way you do business.  Because these platforms can take in data, segment, manipulate and target communications, while also writing out to databases, these tools can enhance many business practices in the organization.  

Your marketing automation platform allows a change in thought process of what a communication is.  For instance, you might have an email marketing team, a mobile team, a social media team.  Well all of these are channels of communication and your marketing automation platform can manage a lot of the content being driven through these channels, while maintaining a consistent message to the customer.

3. Real-time Personalization

Imagine this for a moment: what if everyone who visited your website received a personalized experience? Let’s say you serve a number of different industries. Using a marketing automation platform, you can set up your website so that when someone in the manufacturing industry visits, she sees a different set of content, calls-to-action, and web copy than a visitor in, say, the finance industry. Each visitor has different needs—period. So, giving each individual a targeted experience, whether that’s providing him an industry-specific case study or inviting him to an industry-specific event, makes the information more relevant and encourages conversion.

Most organizations would never consider using their "email marketing system" they just purchase to delver personalized content to their website in real-time, isn't marketing automation an outbound tool?  Not necessarily.  Because marketing automation tools can listen for events and trigger a realtime campaign for 1, and then deliver results through web services, it allows for ultimate customization, even for inbound.

4. Go Mobile

Mobilization is becoming increasingly necessary. According to Nielsen, the average consumer spends more time online via mobile devices than she does via a desktop or laptop computer. And the majority of that time is spent on apps—not the mobile web. All-in-all, companies need to go mobile, but without the right tools, it can be difficult. Not only do you need a strategy, but you also need to work with much more data. But with the data from marketing automation platforms combined with mobilization strategies, companies can effectively implement mobile campaigns, whether that means a native app or an optimized page.

I'll continue to harp about the mobile strategy.  This is a channel that needs to be targeted to customer behavior, however it will be the ultimate channel when used properly.  The marketing automation tool can listen for cues, such as geo location and deliver a customized mobile experience for the customer, whether that be in-app content or push notifications, the marketing automation tool should be at the center of your mobile strategy.  

How Not To Use Marketing Automation

Normally I would never suggest not using a marketing automation for anything, but it is a funny title so I'll let this slide.  I would even argue that bad marketing automation is better than no marketing automation, but not by much.

Generic Broadcasting – The time that you save with marketing automation should be used to not only improve your content in the first place, but also to personalise through segmentation. Consumers in all market places are becoming more and more sophisticated, and can spot poorly executed marketing automation. And their perception is likely to be that you don’t care about the communication.

This is the first step of marketing automation.  So many times the implementation strategy of the marketers installing the new system is to do what they are currently doing, but in a new fancy tool.  I think this is an okay step if the desired outcome is to QA the output to make sure all the data is correctly hooked up.  Other than that, marketers should have an understanding of what the new capabilities of the tool they have purchased and at least start with a few general segments to make sure there are some differentiation in the messaging.

My advice is to bring in a group that has experience in the tool who focuses on the strategy behind utilizing the tool to help build a roadmap.  It's okay to start broad, in fact I recommend it.  But don't tart from scratch.  Start implementing the "low hanging fruit" opportunities in your business right away.  This will be your baseline and then you start to grow from there.

Being A Spammer – Automated emails are a great way of engaging with recipients who have shown an interest in your email, but you should still spend time focusing on the quality of your communication. Avoid the usual spam trigger words and don’t go sending an email to thousands of people all at the same time. Marketing automation can increase the risk of spam, but a good email provider will help you with this.

All the good Email Service Providers (ESP) will provide services to assist you in "warming up" your domain to the Internet Service Providers (ISP).  This is a necessary first step to make sure everyone can see your emails when you send them (deliverability %).  

However, this does not mean your job is over.  If you decide automation will allow you to send emails to your customers everyday with messages which do not resonate with most of them, you will quickly be flagged as spam.  If this happens too many times, the ISP's will block your emails.  When I started at one property, Yahoo was blocking all the emails and the deliverability rating was in the high 60% range.  It took a long time to get unblocked, so make sure your content is relevant and you stop sending to customers that are not opening your email.

Bad Time Automating – Automated communications are tricky: you’re writing them at a time where the context of how the communication will be received isn’t known. Most of the time, this is absolutely fine as you are only scheduling a few hours ahead, but beware of shifting events. 

Most of the time your emails will not be "set it and forget it".  You may run with an automated email blast for customers that signed up today with an offer to engage further, and that is fine in most cases.  In a lot of the cases the automation is used to increase the segmentation capabilities, not to create a generic email blast to all your customers over and over again.  

If you run into this problem of timing, then forget about scheduling too far in advance.  Take your time and make sure the message is relevant to the customer at the time the email is sent.  This will save you from looking like someone that doesn't understand the customer at all.  That is the worst thing that could happen.

Communicating Constantly – With marketing automation, communications with your audience should become a lot easier. But don’t get carried away. If it is easier, then the temptation will be to communicate more often, but this is as off-putting for a recipient as communicating poorly. It can also have a detrimental effect on the size of your audience.

The quickest way to being marked as spam or unsubscribed is to over communicate through email.  Just because its easier to do, doesn't mean you should.  Make sure you are communicating a little more than your customer is engaging with your brand.  Its okay to communicate everyday if your customer is buying something everyday, but this is usually not the case.  If your customer purchases a product once a month, maybe every other week is a good cadence to start.  Remember, the beauty of a marketing automation tool is your customers don't have to all be on the same communication cadence, they can be on their own, as long a you have enough content to make that strategy make sense.

Send And Forget – One of the objectives of most communications is to elicit a response. Whether that is an open from an email, a click on an advert or a reply / share from a social media post. So when you are automating, you should always have a process in place for monitoring their impact – you should be able to set this up as an email or smart phone notification. Ignoring this can result in recipients not talking (positively or negatively) to anyone, something to avoid at all costs.

As I said above, this strategy can be detrimental to having a marketing automation tool.  Never send without analyzing the results.  All marketing automation campaigns are living and breathing entities, they need to be changed and enhanced constantly, because as you change behaviors the communication cadence and the offers need to change with it.  There are also segments of customers in the campaign who are not getting what you are throwing out, so constantly look for opportunities to enhance the campaigns taking these customers into account.  Analyzing is the most important step of the process.

Why CEOs Say Yes to Marketing Automation

Ten short years ago, it was rare for a company to have a marketing automation platform in place. Since then, it’s become ever more clear that acquiring marketing automation (and applying the expertise to make it hum) is a huge competitive differentiator. SiriusDecisions research indicates that 80% of the organizations with the highest-performing demand waterfalls (based on the number of won deals per 1,000 inquiries) have implemented marketing automation platforms. This tallies with other research; the 2015 report “Rethinking the Role of Marketing” from Gleanster and Act-On found that Top Performers were 20% more likely than the average organization to use marketing automation technology..

I think it is still rare for most organizations to have a marketing automation platform, but what is even more rare are companies who are taking advantage of their platform.  The promise of marketing automation is very enticing as this article articulates.  The benefits of a well-run marketing automation program is an extreme competitive advantage.

1. Marketing Automation Lets You Put the Customer in the Center of Your World.

List management. Marketing automation lets makes it easier to segment your lists by field values (explicit data such as title, department, industry, company size) and by implicit, inferred factors (often actions) such as web pages visited, eBooks downloaded, emails clicked on. It also lets you sync chosen data back and forth with a CRM system.

Well beyond the realm of salespeople, marketing automation lets you manage your customer base on a level of personalization that is not possible otherwise.  Some say these platforms make the relationships with customers less personal, but that is a fallacy.  With the amount of personalization and targeting capable with these platforms, the customer gets a more personalized experience with marketing automation.  

The amount of time manual processes take to manage the customer, it is impossible for these processes to really give the best experience to the customer.  There is just not enough time in the day.  However, a marketing automation platform can create customized communications based on all of the data described above, including behavioral information, geo aware messaging and preferences of communication channels.

Campaign management. Automated programs can save time (which is money, yes) and take a little human error out of your programs. You can set them up to replicate successful lead nurturing or onboarding programs, for example, and they will run exactly as programmed, no matter who misses work on Tuesday. You can add prospects as they enter your world (perhaps through a form) and exit them (perhaps to another program, or to sales) as you learn more about them, or as they become increasingly qualified. You can set up trigger emails (thank-yous, congratulations, expiring trials) and landing pages that make offers or fulfill requests, showing how responsive you are.

Campaign management is a difficult process if you have different programs pulling lists, then fulfilling communications and measuring results.  The amount of time saved by having a platform where everything is integrated and can trigger off the behavior of the customer is very powerful.

6. Marketing Automation Takes Care of the Established Customer

The platform gives you a structure you can scale in your retention strategy. Start with using a nurturing educational strategy to support onboarding. Move on to keeping your customers in the loop, educating them about new features, showing them new plays with old features, and keeping them abreast of changes in the industry that affect them. Take the same techniques you use to notice when a lead is warming up and apply them to noticing when a customer is looking at an upsell … or needs attention to prevent churn.

Retention is the most important part of the database.  The greater the number of sales coming from your established customer base allows for the greatest growth in your business.  Marketing automation at its heart is best for the established customers.  The platform is designed to drive more business from this segment.  Since the majority of most companies revenue comes from loyal customers, having the ability to grow this groups sales is essential to a longterm stable business model.  The marketing automation platform should be at the center of this model.

7. Marketing Automation Spurs Revenue and Growth

These benefits are all pieces of a puzzle that every company using marketing automation puts together in its own unique way. The common denominator is that most companies that apply marketing automation – whether they use every feature or just the basics – will see faster growth and post more top-line revenue.

Well who doesn't want that?

Five Ways to Win with Data-Driven Marketing

Data-driven marketing has come to the forefront for companies that want to better engage their customers and prospects. With data-driven marketing, firms are able to gather, integrate, and assess data from a variety of internal and external sources to help enhance value.

Marketing automation starts with data.  In fact, in the digital age, almost all marketing initiatives start with data.  Companies who are data-driven have a distinct advantage over their competitors.  When a company is data-driven, they focus on their strengths, enhance their weaknesses and they don't obsess over their competition.  They have the data to understand how they can improve.

1. Determine what really makes customers tick. According to the DMA, data-driven marketing is about discerning what customers want and need and engineering the company to provide it: “The more firms can use data to develop a 360-degree, multi-channel view of what customers think and want, the more the customer will truly be king.” Through the use of both internal and external data, companies are learning how to “crown” their customers — truly understand what makes them tick, and then develop campaigns that engage them in the most effective manner possible.

This all comes with data analytics.  Understanding what drives your customers behaviors is step one to developing campaigns and offers.  Without an understanding of what your customers want, there is not an efficient way to determine what they would like from you.

2. Set baselines for campaign effectiveness. Data-driven marketing has effectively replaced the traditional “hit-or-miss” test component of the typical direct marketing campaign.

Baselines are a very important piece to understand when analyzing campaigns.  This is the beginning of the journey to understand the effectiveness of any changes that are made.  If an organization cannot answer what a particular program is bringing them, they should test the campaigns without the program and determine what, if any, the effectiveness of the program is bringing.  

3. Block out the “noise” and focus on what’s relevant. When assessing data over multi-year periods — and across different marketing channels — it’s not unusual for things to be extremely “busy” at the outset. There’s a lot of static and responses are all over the place. However, by using proven data-driven marketing techniques, you can start to pull out the relevant information, analyze it over time, pick up on traffic patterns, and drill down to specific marketing touch points (i.e., number of website hits that come in when a specific direct-response show airs).

This is a lot harder than it sounds.  Marketers are the kings of taking a piece of data and selling their story with it, even though it is just noise or a small sample of customers.  This is where the "art and science" approach is necessary.  Being able to combine data mining techniques with the business acumen is key to focusing on the relevance of the data.

4. Determine exactly how customers are responding.

Again, this is important to understand multi-channel marketing.  The ability to reach your customers on the right channel at the right time is only possible through data.  

5. Reach extremely targeted customer bases.

The promise of 1-to-1 marketing is arriving.  Be careful to shoot for this level of personalization, because it is very expensive and the pearl is not worth the dive for the majority of your database. However, being able to target your best customers in a very personal nature could help grow the business exponentially.  This takes extreme focus.  

Closing the Loop on Marketing Automation

Marketing Automation is starting to come into the mainstream, but many companies are not using the toolset to create amazing interactions with their customers.  I know many brands that have sophisticated toolsets and it is used to show me points and my name.  I get the same exact email that all of their customers get with my name attached, this is not an amazing interaction.

Data and Analytics as the Foundation

Seems logical, right? You would be amazed at how many brands are still working through “We don't know how to get our transactional point-of-sale integrated with our demographic and third-party purchase data.” Solid data management and extract, transform, load processes form the foundation from which a solid enterprise marketing platform is built.

Data is the backbone of any marketing automation solution.  This may be why the technology isn't as pervasive as it should be.  Getting all of the data into one location in a consumable format for marketers is not an easy task.  This is the first step in the marketing automation journey.  Starting with the data will increase the chance to have amazing interactions with your guest.  The more knowledge about the customer, the more customized a communication can be and this is what delights the customer.

Integrate, Orchestrate and Optimize

This is a large category, but an important one as far as customer engagement is concerned.

First up is integration. Integrate marketing programs across channels — leverage insights from outbound marketing programs to better serve customers on inbound channels and vice versa. With consumers switching channels as frequently as they do today, this is imperative.

Marketing automation tools today can currently run many inbound tasks.  This is especially true when sub second response is not necessary.  When giving the customer an option to to click on a button to serve up an offer or promotion, use the marketing automation tool to serve up the offer.  This way it ensures the customer is seeing the same offer they saw in an email you sent yesterday.

Orchestrate campaigns and their offers so that the timing and sequence, as well as the channel delivered, make sense based on individual consumer preferences. 

So many brands are tied to their own timing of communication, not the customers.  For instance, we alway send our bi-weekly communication on every other Tuesday.  This makes it easy for the marketer, however this does not take into account the customer.  

All customers should be on their own timeline.  Marketing automation tools are very sophisticated and can handle this type of philosophy.  Planning the interactions with customers based on their behavior will result in much higher response.  This is the type of delightful interaction customers expect.

Optimization is the final step in the execution phase. Make sure you use analytically based optimization across all channels to avoid over-contact and saturation of consumers. Consumers are only annoyed by receiving an email offer for a product or service that they just signed up for last week during an inbound contact center conversation.

Be sure to optimize constantly.  Marketing automation campaigns are living and breathing entities.  They are never finished and there is always money to be found in optimizing the programs.  Optimization goes much further than over contacting the customer, just as bad is not contacting the customer at the time they want to purchase.  Even worse is offering the customer something they would never be interested in, especially if they have been your customer for an extended period of time.  Tiffany, I already bought my wife the diamond, stop telling me about how amazing it is, you had me at hello.

The last step is to close the loop in order to perform truly integrated marketing. Take the information you learn from the delivery of both inbound and outbound offers: Did a customer open an email, respond to a social message or accept a verbal offer delivered via the contact center? If so, what effect does that have on downstream marketing efforts?

It all comes back to constantly learning.  The more your customer interacts with the brand, the more they tell you about themselves.  I am not the biggest fan of over surveying the customer and when asked why that is, I say its because I survey my customer all the time.  I send them outbound communications with call to actions and if they reply, they are telling me what is more important, voting with their wallet.  If they don't reply, they are telling me they don't appreciate this offer, or maybe it is this time, etc.  Learn from these interactions and enhance your campaigns.

Remember, Data + Insight = Action.  Always be looking for actionable data on your customers and using that in your marketing automation programs.

6 Rules for Creating Killer Email Campaigns

Email marketing still reigns supreme for most businesses when it comes to ROI.  The funny part is how many businesses are not taking full advantage of the medium.  Email is a channel and should not be seen as a strategy unto itself, it is just another way to communicate to the customer.  But because of its low cost and effective targeting capabilities, it is a channel that should be at the top of most companies priority list.

1) Map out the customer flow

Once upon a time I worked on the growth engineering team at Twitter. We were tasked with building something that could turn new signup users into die-hard Tweeters. The secret sauce to user activation was…email! But before we knew when to use email, we had to map out the Twitter user journey.

This is key to a marketing automation.  The first step of a campaign is to identify the goals for the campaign.  After that, the visual mapping of the workflow will save hours of time and allow for better if/then scenario processes to take place within the campaign.  When done visually, it also is easier to see pitfalls and mistakes.  This may seem like double work, but it is an essential step.

2) Master the balance of building your list, while not asking for too much

You’re ready to begin building your email list and customer base. You’ve also heard that the more info you have on a customer, the better. Besides, how are you supposed to create highly personalized email campaigns without any data on a user? Before you start pushing sign up forms with 20 form fields to all of your website visitors, you must first understand that customer intelligence should be built over time.

I am a big fan of finding out 1 thing about your customer in every interaction.  Transactional data about what your customers are buying is the best information to have, but also asking your customers a question with each interaction is not time consuming for them and through time will build a plethora of information for you which then can be used to further segment your customers.  Be careful what you ask.  If you ask something specific about behaviors, your customer may expect you to use this information right away and if you don't, they may become disenfranchised.  

3) Embrace marketing automation 

People say marketing automation isn’t personal and ruins your brand reputation with robot-like communication. I’m going to argue that it actually makes your communication more personal because it can be used to send messages based on individual behavior. Marketing automation makes it so that no two people receive the same messages.

This is a must in my book.  There is no better way to have targeted, individualized communication with large sets of customers without it.  Marketing automation tools should be a fundamental piece of the marketing technology.  It allows for the management of the customer, regardless of the channel.  It makes multi-channel communication possible.  I believe this is the center for all outbound communication, regardless of the channel.

4) Offer value with every touch  (Eat24)

You don’t need a reason to call grandma, but you should have a reason for sending an email to your subscribers. Promotional blasts are the bread and butter of ecommerce companies, and I’m not saying they’re a bad practice, since they do generate revenue. But, before you send another marketing campaign, you should always ask yourself, “Will my customers care?” The answer of course should always be, “Yes!”.

I worked with a company that did an email blast every 2 weeks regardless of if there was anything new to communicate.  The offer that was sent was usually the same offer with a different twist.  

Not only does this approach start to feel the same, which will lead to customers ignoring the email, it also doesn't create a sense of urgency for the customer.  If there is always a timed offering and it is always the same offer, customers will not feel the need to reply to the call of action.  They will start to learn there will be this new offer next week so maybe I'll just wait until then.  This limits the effectiveness of your communications.

5) Recognize lapsed users and bring them back  (Memebox)

Customers sometimes leave. While some loss is inevitable, others are absolutely preventable. A bad marketer doesn’t know who has left or who is about to leave. A good marketer recognizes the signs of churning and targets those users with the perfect message to bring them back.

The best time to market to a customer is before they become inactive.  Once a customer is inactive or has left, it is usually too late and those customers are very hard to regain.  It is very important to identify customer that are about to churn or are changing their buying habits in a negative fashion.  

For instance, a customer may purchase from you with a frequency of once a month, however over the past 3 months they have not purchased anything.  Lets say in this instance your active customer database is purchases within 12 months.  If someone who consistently purchases every month, but has not in the last 3 months, you as a marketer have to change your communications with this customer.  This customer is in danger of churning and you can't wait for 9 more months before they become inactive to recognize this.  At that point it will be too late.

6) Perpetually tinker with A/B testing

Email campaigns, like fine art or software, is never finished. There will always be something else you can do to improve the performance of a campaign. When looking for an email platform, find one that allows you to A/B test any part of your email.

Marketing automation campaigns are never finished.  They are constantly evolving no matter what the situation is.  Testing should be a standard part of all your campaigns.  It is important to remember that a baseline needs to be established before the testing takes place.  Also, be careful not to overlap tests that may have influence on results at the same time.  You always want to make sure you understand what changes drove what results.  If there are too many tests and changes at once, there is no way to possibly understand the impact of the tests.

I would add a number 7, analysis

Find yourself a good, easy to use business intelligence tool and analyze the performance of these email campaigns.  Create many different attributes of your customer.  Slice and dice the data to look for opportunities.  Identify groups of customers that aren't performing up to the standards of others, these are the customers that become new segments to target with different communication and content strategies.  This also is a must in my book.

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.

5 Mistakes You're Making That Are Killing Your Marketing Campaigns

In a past article from Juntae DeLane, he brings up very good succinct points about pitfalls of marketing campaigns.

1. Lack of Audience Understanding

Having a greater understanding of your audience should be the first step when developing a campaign strategy. Some entrepreneurs will produce evergreen campaigns with no specific targets hoping that new targets will emerge. Some may see a practical benefit in doing so; however, why run two campaigns to accomplish one task? Your marketing campaign will be optimized by doing research beforehand so you can make an impactful and relevant introduction to your brand.

The key to digital marketing is knowing your audience.  The more information you have about your customer the better and when using marketing automation tools, it is important to utilize this knowledge.  It is easy to lump as many individuals together and call them segments, however the more individualized your campaigns can become, the better experience the customer will have interacting with your brand or product.  

2. No Strategy

Many marketers get confused when talking about strategies and tactics.  A tactic is how you are going to do something, the strategy is what you are going to do.  They must work in tandem.  Many times marketers start with the tactics, "we are going to send an email to all of our customers who abandon a cart".  Why are you doing this?  You have to start with the strategy of "increase our sales from all parts of the funnel" to reach the tactic.  Otherwise, how do you know the goal?  The goal may be simplified in this case, but so many times a marketing plan is not strategic, it is a list of tactics the company is going to employ.  

Having an overarching strategy will help guide decision making.  Just because you can do something doesn't mean you should.  Focus is the key and understanding the strategy assists in that focus.  

3. Too Much Sales Pitch

I think another way to think about this is understand your customers are not stupid.  They know when they are seeing content from your company they are being sold something.  They want to understand why they need something, how will this make my life better, will I feel satisfaction with this purchase.  By trying to convince them to buy leads to buyers remorse.  The ultimate goal is to create loyal customers that will return again and again to purchase. 

4. No Tracking or Data

With all the tracking services out there, you should be able to easily track your campaign efficacy. From Google Analytics to KISS Metrics you can establish a tracking dashboard at virtually no cost.

However, what will kill your marketing campaign is if you identify the incorrect metrics.

I don't see this too much, most everyone is tracking some kind of performance.  I believe in the comment from above, what are the key metrics that drive the business.  If number of sales is your key metric, this can come at a loss because the amount of money invested to drive those increased sales is more than the revenue being generated.  Be careful to choose your metrics wisely.

5. Too Much Branding

I think everyone believes in increasing brand loyalty is key to a successful business, but this goes so much deeper than pushing the brand.  Brand loyalty comes from consistency, delivering the promise of the brand and always putting the customer first.  These don't come from a catchy slogan or advertising, this comes from hard work to deliver the best customer experiences.  The brand is all aspects of the transaction, from the customer service agent answering the phone to the ways in which a mobile app enhances the buying experience.  

6 Ways Mobile Marketing Automation Boosts App Engagement And Monetization

"These are a few of my favorite things", mobile apps and marketing automation.  A perfect marriage.  Mobile is the channel of the future and marketing automation can enhance it to improve monetization no matter what the business model.  This article is focused on the freemium business, but I believe it applies to everyone who has a mobile app.  Marketers should start thinking of mobile as a channel instead of a business unit, then the understanding of marketing automation and true omni-channel marketing can come to fruition.

1) Understand users’ behaviors

For any type of campaign to succeed, developers must first understand their users’ behaviors and the motivations behind them.

What price point is likely to get a certain user to make a purchase? Which items or services are they most likely to pay for? What is most likely to trigger their first purchase? Their second? Their tenth? What kinds of rewards (free coins, extra lives, unlocked content) do they want most? How likely are they to refer a friend? Why or why not? Which features do they use most often, and what new features would they most like to see?

This is marketing automation at its finest.  Taking the users behavior and trying to drive additional behavior or change the current behavior if possible.  Using mobile as a channel allows for the ultimate in timeliness.  Most people have their mobile device on them all the time, so being able to communicate and knowing it will reach your intended target immediately makes mobile the best channel for marketers.  Targeting the offer and the message is just icing on the cake.

2) Build advanced user segments

Not all users are created equal. They must be treated as individuals, and in order to do that at scale, developers have to divide their user base into distinct segments.

Is there any other way to build segments?  Start small and grow your segments.  There are numerous ways to skin this cat, but segments should be grown out of analytics.  Don't segment customers by gender if males and females behave exactly the same.  Segments are built from knowledge of behavior that is different from the rest of the group.  That's how new segments are born and they are different for every business.

3) Set up custom messages and campaigns

Once cohorts are created, developers can start targeting those groups with custom messages and campaigns.

Segments are built for customizing offers and messages.  If this is not going to happen, then there is really not a need to identify the segment other then for analytical purposes.  The reason these customers stood out from the rest is they were different, so make sure they receive different messaging and offers.

4) Deliver messages during contextually relevant moments

The next step in perfecting a mobile marketing automation strategy is to pick the right moments to serve campaigns.

The right offer to the right person at the right time.  This has always been the direct marketers mantra.  Timing is very important in marketing.  In this context, the discussion is when to serve up an app in a game, but this applies to all marketers.  I bought an engagement ring at Tiffany's for my soon to be wife.  I received weekly emails after that purchase advertising the engagement ring.  This would have been the optimal opportunity to sell me a wedding band, both male and female.  

5) Select the right channel

In-app messages aren’t the only way to promote campaigns.

In the context of marketing for freemium games this is always a tough one, but for regular brick and mortar businesses, this brings home the point I started the article with, mobile is a channel.  Sometimes it will not be the right channel. For instance, as a hotel mobile is a great channel for marketing offers while the customer is at the property.  For when they are at home, they don't need to see there is a free cocktail waiting for them at the bar, bad channel and timing.  A lot of times, email is the preferred channel and mobile is used for more contextually aware needs.  But test that theory.

6) Track, measure, and optimize

The final step, as with any campaign, is to continually improve upon your results.

This is the best final step there is, because without it there is no way to really enhance the campaigns.  Be sure to capture all the relevant data and be able to access it through a BI tool that can represent data visually.  This will allow for greater insight to the data.  Once hitting a wall with the BI tool, then advanced analytics can come into play in the form of data mining and predictive analytics, but there will be plenty of segments created without those tools.  Remember, marketing automation campaigns are living and breathing.  They are never finished, so constantly be looking for that next great segment.

Retention is King

There are too many companies asking, “How do we acquire more users?” that should instead be asking “How do we get better at keeping the users we already have?”.

Its easy when approaching the problem of growth to think that you just need to get more users, after all that seems to be the very definition of growth. However, if you take a step back though and think about growth as the maximization of user-weeks over time, it quickly becomes apparent that focusing on retention has a much larger effect than topline growth. This is also much more of a sustainable growth mindset. Rapid user growth followed by rapid user attrition is an indicator of unsustainable growth. Strong retention of users over time is a good indicator of product-market fit, something you’re hopefully looking to achieve anyway.

Retention is the place I start everywhere I go.  Building a strong retention program is the key to success for any business.  There's the old "It's much cheaper to keep a customer happy than find new ones" saying, but it goes beyond that.  If one thinks about it logically, the bigger base of loyalty business that is retained, the more money one will make.  Retained/loyal customers have many advantages over new or dormant ones.  

Customers in retention campaigns have a well-defined pattern of behavior

These customers are perfect for targeted promotions, cross-sells and upsells.  Because of the purchasing and communication interaction behavior stored from these customers, tailoring offers specific to the needs of customers is the easiest way to convert into sales.  The less that is known about a customer, the more shotgun approach is taken and less likely to obtain real revenue.

Customers in retention campaigns have less expensive communication channels

Because the customer is known, the communication with the customer is much cheaper on a converted basis.  Even through the direct mail channel, which can be as high as $3-4 per piece depending on how elaborate it may be, the conversion rate is much higher on this type of communication.  Most communication in this channel can be near free, with email and push notifications through apps.

On the other side, acquiring new customers is very expensive.  Even if going completely online, the conversion rates are so small compared to the cost per click or action, that it makes the customer acquisition cost upside down for 2 - 3 purchases for many companies.  If the business needs to go traditional advertising routes, now the cost becomes staggering.  

Retention customers bring in the most revenue

While this varies from business to business, I doubt you will find many longterm successful organizations that don't have this phenomena.  The loyal customer is the bread and butter for the business and can be relied upon to grow revenue.  Within retention campaigns there are customers of all different types and understanding the loyal customer that can spend more money is the best opportunity for profit growth.  

It may seem counterintuitive to look for growth in your loyal customer base, but I have always thought of it like this.  The more customers that I can have in the active customer base, the more opportunity I have for growth.  Acquisition rarely can go away and there should always be a plan to acquire more customers, but that cost should decrease as the business matures.  For a very mature business, this cost should be as low as possible.  

A simple way to illustrate this is 

New Customers + Retained Customers + Reactivated Customers = Active Customer Base.

So if the business can acquire at a consistent base, lets call this 1 million customers per year and retain the majority of their customers, lets call this 10 million customers, then they can grow their active customer base by close to 1 million per year.  Now if those customers are retained and a new million come in, the growth lies in increasing the retention customers.  Otherwise, it costs too much to try to double your acquired customers, especially the more mature the company is.  Try to focus on retention first, it is truly the King.

Data is the First Step to Marketing Automation

I have implemented many marketing automation solutions over the past decade and one of the perplexing findings is how organizations put the cart before the horse when they are installing their solutions.  I like to say marketing automation solutions are "dumb".  Not the kind of dumb as in "this is stupid, why are we implementing these solutions, why not do something else".  They are "dumb" in the essence of they need help from something else to be successful.  They cannot work on their own.

Marketing automation tools are a slave to the underlying data.  All marketing automation tools do is query data and create metadata that is used to create content and messaging for your customers.  Now I am minimizing the importance of the marketing automation tools in that sentence, but from a high level, it works.  

Since the underlying data is what drives the marketing automation tool, that data is the first step in implementing the tool.  Without the proper data, your implantation will fail.  Getting the data into the proper format for consumption from the automation tool is the most important step of marketing automation.  

Understand the problems to be solved

Write out all the different types of campaigns or communications to be run with the automation tool.  This step is vital to understand if there is a gap in your data collection strategy.  Also, this identifies if the data is structured properly to even run these types of campaigns.  This step comes before buying a marketing automation tool.

For example, I want to send a reminder email to all customers who bought a television that specific cables will enhance the performance of their new purchase by 50%.  For this, the data will have to be structured to understand which customer bought a television set, along with cables because you don't want to sound like you don't know your customers, within X amount of time, their email, mailing or app device ID, and the channel they prefer to be communicated with.  Now the data team can make sure they have the proper structure for just this one use case. If the data can't be structured accordingly, then the marketing automation tool will not be able to deliver this campaign.

Define success for the campaigns

This can be a simple sentence in each case.  What this determines is how the analysis of the campaigns performance will be achieved.  Analysis is also part of the marketing automation tool implantation, because I guarantee you that the executives will want to know the impact of this large investment, so the data needs to be prepared to answer these questions.

For example, I want to see the redemption rate and revenue generated, along with the expenses for delivering and cost of goods for the customers who returned to the store and purchased upgraded cables for their televisions.  For this the data will have to meld together the ID for the offer, in this case the cable, along with the purchase item along with the expense data from the marketing automation tool and the sales system.  These tasks aren't easy, but they will pay dividends if this legwork is done upfront.  There is nothing worse than flying blind with your marketing automation..  

 The expectations for campaign execution times

This is one that almost always gets missed.  I have heard of campaigns that run almost all day because the data is not organized in a fashion that is not optimized for the marketers.  That kind of performance may be acceptable if the campaigns are run once a month, but for most businesses that is not the speed of digital marketing.  

For example, I want to be able to run the campaign for the television purchasers every day.  This includes time to run the automation, send out proofs for the collateral and have the deliveries out to the customer by 10AM.  This allows the data team to be able to optimize the data structures to make sure the data can be pulled fast and efficiently for all your automation campaigns.  

This by no means is an exhaustive list, but it is a start to having a successful marketing automation implementation.  No matter how many bells and whistles the marketing automation tools have, if the data does not support the wants and needs of the marketer, it doesn't matter because the tool is "dumb".  It needs the data to perform magic.     

Turn Your Data Into Smart Data

Great insights from Scott Houchin regarding data.

To harness and convert data into stronger business strategies and overall profitability, approach data practices with a holistic integration of people, process and technology, following three key steps: collection, strategy and alignment.

A data strategy is the first step in becoming a data-driven organization.  Setting up the structure and expertise of the organization has to start before jumping into data strategies.  This can happen outside of the confines of IT.  The business leaders should own the data, as long as they have the expertise and knowledge to do so.  Try to set up procedures to be agile with your processes.  The longer it takes to implement changes in data, the less of a competitive advantage your organization has.  It will also be near impossible to become data-driven if there is a constant wait for data to be delivered to the end users.

Collection

Start with a clear understanding of project goals and requirements to guide the collection process. Establishing this helps ensure data collected is “smart” or meaningful. Collection shouldn’t narrowly focus on new data. Many organizations already have a goldmine of owned data that should be tapped. To make the most of historical data, scan legacy systems, such as social pages or purchase history, map findings back to strict uniform terminology, and fill in the gaps where data is missing across the organization.

Having a process for collecting new data and examining historical data up front ensures quick and accurate collection, minimizing time spent on governance practices and carving down unnecessary data sets.

There is a treasure trove of data already being collected in most organizations.  Ensure that this data is being properly collected and stored.  The goal is to ensure as many people can get to the data as possible, data democratization.  If data is stored and is hard to get to, takes complicated joins and there are no tools available to the organization to easily access the data, then more has to be done to reach these goals.

Strategy

Once data is collected, work with data-marketing specialists to analyze and align functional uses and marketing’s business goals. This requires a team of analysts and strategists who have both high levels of industry and domain expertise to identify sources, manage collection and road-map operations processes.

Teams of analysts can help organizations identify, collect and integrate data from sources and channels, like web traffic, Facebook, Salesforce, etc., into a proprietary database. Once established on a datamart, it can be integrated into current campaign tools through human labor. Having this data integrated into marketing tools gives brand-side marketers the insights to improve customer experiences, measure performance of digital assets, predict customer decision stages, etc.

Data should not be financial focused, it should be customer focused for the greatest impact on ROI.  Marketers have to own their data.  Hiring analysts and data domain expertise is imperative for success.  If ownership lies outside of the marketing resources, there is a much higher likelihood of failure.  Remember, CMO's and CIO's don't speak the same language.  

Alignment

Another example can be demonstrated with IT and marketing. Marketers spend more on technology than some IT departments now, but need alignment to ensure data is stored, platforms are integrated and in-house technical support is available. Alignment between these two departments appeases both marketer’s need for autonomy and IT’s domain over platforms, allowing for the integration of datamarts into other units’ datasets from the onset.

IT is still very critical for success with this strategy.  Just because IT does not own the data, doesn't mean they aren't extremely important.  IT needs to ensure the network is working, data is flowing and collection tools are working.  They also need to be support for when things break and they should control the access to the systems.  Make sure IT understands the goals and agree on the toolsets being chosen, so they can support them.  

Two Major Marketing Automation Myths

By Mat Sweezey:

Marketing Automation is Only for Marketing -- FALSE

Really I care about the second myth.  In my last position, we used our marketing automation tool for so much more than marketing.  Marketing automation tools can create business workflows and email tasks to operations folks.  We also used it in terms of creating better customer service, to alert of a customer service issue and email the best solution to the problem.  Marketing automation tools from a high level take data and triggers and provide an output.  There are numerous opportunities to enhance workflows with your automation tool.

Southwest Airlines Making an Impact in Marketing Automation

I love Southwest Airlines.  They have been the ,most profitable airlines by creating a business model which serves both their customers and their shareholders.  Southwest has managed to delight their customers and they are one of the few airlines that actually turn a profit, plus they haven't gone to the nickel and dime your customer model that has been popular in the industry.

The one area they have been weak in is database marketing/marketing automation.  The emails my wife and I get from them are very generic.  These emails have never been tailored.  This is the same in direct.  I have a Southwest Visa card and I still get an application direct mail to this day.  They also send some of these applications multiple times per week.  I tend to forgive because I am not a fan of the nickel and dime approach most other airlines employ.

Out of the blue I got an email that was actually targeted, well I hope it was targeted and not everyone received.  They sent me a tier upgrade promotion if I flew 3 roundtrips in a 2 month period.  To give a little background, I was flying much more a year and a half ago and I was an A-list, but recently I haven't needed to fly as much and I lost that status.  What I hope they are doing is looking to see that I have the propensity to become an A-List and they are betting that I will take them up on this offer. 

I happen to be taking a couple of flights in that time period, but I was going to be one roundtrip short.  Now this is where the psychology of tier benefits are interesting.  In my experience, a company doesn't necessarily get a customer to do something drastically different in their behavior to get to the next tier level.  This is true in my case.  If I hadn't been taking those 2 other trips, I would not have flown 3 roundtrips to make it to A the rest of the year.  But since I was taking those trips and I was going to be close, I decided to take 1 more trip up north and see my stepdaughters.  I would not of otherwise taken this trip.  So the promotion made them some incremental revenue and has kept my loyalty with Southwest.

This could be a less targeted approach and I just happen to think it is because of my propensity.  They send me an email last week reminding me of the promotion ending, however they did not reference I was 1 roundtrip away, so they aren't exactly where they need to be yet.  But, if Southwest can put together a strong direct program with their superior business model, then other airlines will have even more to worry about.  Here is to hoping they are moving in that direction.

Brands Don’t Know Their Customers As Well As They Think They Do

Chris Crum writes for webpronews.com:

IBM and Econsultancy have some new research out suggesting a “massive perception gap” between how well brands think they are marketing to their customers and how well customers actually think brands know them. Businesses think they’re doing a pretty good job. Consumers, not so much.

The study, which surveyed businesses and customers specifically in the United States, found that about 90% of marketers do agree that personalization of marketing campaigns is critical to their success. Even still, 80% of consumers polled don’t think the average brand understands them as individuals. This is despite consumers sharing more personal details with businesses than ever before. Some how, brands are still failing to make the most of it.

In my experience, marketers can be their own worst PR agents.  For the most part, they understand what their customers want, but they can't deliver.  However, they are constantly spinning what they are doing as to seem as though they are meeting the customers demands.  So this survey doesn't surprise me.  I'm surprised that 80% of customers don't feel like they are individuals.  It's hard to create great customer experiences with this stat.

The IBM/Econsultancy research found that 80% of marketers “strongly” believe they have a holistic view of individual customers and segments across interactions and channels. They also strongly believe in their ability to deliver “superior experiences” offline (75%), online (69%), and on mobile devices (57%). Yet just 47% of marketers say they’re able to deliver relevant communications.

Worse yet, customers don’t think they’re getting personalized experiences. Only 37% said their preferred retailer understands them as an individual. And that’s the preferred one. Only 22% said the average retailer understands them. 21% said communications from their average retailer are “usually relevant”. 35% said communications from their preferred retailers are “usually relevant”.

The biggest disconnect with marketers is in implementation.  In the survey they state they believe they can deliver "superior experiences", yet just 47% say they are "able".  So marketers believe they have the strategy to be great in the area of customer experience, the technology or knowhow to deliver these great strategies is lacking.  A lot of that comes down to the relationship with the CIO.  As I wrote in Across The Board, CMOs Struggling To Deliver An Integrated Customer Experience, until the CIO and CMO speak the same language and the CMO embraces technology, this will continue to be an issue for marketers in the future.  When only 37% of customers believe their preferred retailer knows them at all, there is an issue.

“One explanation for relevancy void may be a lack of innovation for the multi-channel lives we all lead,” IBM said. “According to the study, only 34 percent of marketers said they do a good job of linking their online and offline customer experiences. With the vast majority of dollars spent offline and the majority of product research happening on the Internet, the two are already linked for consumers but this gulf must close for marketers if they are to advance. One issue is the technology of integration, with only 37 percent of marketers saying they have the tools to deliver exceptional customer experiences.”

The technology exists today, marketers just have to embrace it.  The technology is nascent, so it is harder to implement, but this can be done today with hard work.  The results will be well worth the effort.

“The customer is in control but this is not the threat many marketers perceive it to be. It’s an opportunity to engage and serve the customer’s needs like never before,” said Deepak Advani, GM at IBM Commerce. “By increasing investments in marketing innovations, teams can examine consumers at unimaginable depths including specific behavior patterns from one channel to the next. With this level of insight brands can become of customer’s trusted partner rather than an unwanted intrusion.”  

Advani is correct in labeling this an opportunity.  For the marketers who dare to embrace the new realities of digital marketing, they will reap the benefits that come from delivering targeted content creating exceptional customer experiences.  For the marketers that don't embrace this sea-change, their companies will become less relevant in the digital age.  

7 Limitations Of Big Data In Marketing Analytics

Anum Basir writes:

As everyone knows, “big data” is all the rage in digital marketing nowadays. Marketing organizations across the globe are trying to find ways to collect and analyze user-level or touchpoint-level data in order to uncover insights about how marketing activity affects consumer purchase decisions and drives loyalty.

In fact, the buzz around big data in marketing has risen to the point where one could easily get the illusion that utilizing user-level data is synonymous with modern marketing.

This is far from the truth. Case in point, Gartner’s hype cycle as of last August placed “big data” for digital marketing near the apex of inflated expectations, about to descend into the trough of disillusionment.

It is important for marketers and marketing analysts to understand that user-level data is not the end-all be-all of marketing: as with any type of data, it is suitable for some applications and analyses but unsuitable for others.

There are a lot of companies looking towards "big data" as their savior, but just aren't ready to implement.  This leads to disenfranchisement towards lower level data.  It reminds me of the early days of Campaign Management (now Marketing Automation) where there were so many failed implementations.  The vendors were too inexperienced to determine how to successfully implement their products, the technology was too nascent and the customers were just not ready culturally to handle the products.  This is "big data" in a nutshell.  

1. User Data Is Fundamentally Biased

The user-level data that marketers have access to is only of individuals who have visited your owned digital properties or viewed your online ads, which is typically not representative of the total target consumer base.

Even within the pool of trackable cookies, the accuracy of the customer journey is dubious: many consumers now operate across devices, and it is impossible to tell for any given touchpoint sequence how fragmented the path actually is. Furthermore, those that operate across multiple devices is likely to be from a different demographic compared to those who only use a single device, and so on.

User-level data is far from being accurate or complete, which means that there is inherent danger in assuming that insights from user-level data applies to your consumer base at large.

I don't necessarily agree with this.  While there are true statements, having some data is better than none.  Would I change my entire digital strategy on incomplete data?  Maybe if the data was very compelling, but this data will lead to testable hypothesis that will lead to better customer experiences.  Never be afraid of not having all the data and never search for all the data, that pearl is not worth the dive.

2. User-Level Execution Only Exists In Select Channels

Certain marketing channels are well suited for applying user-level data: website personalization, email automation, dynamic creatives, and RTB spring to mind.

Very true.  Be careful to apply to the correct channels and don't make assumptions about everyone.  When there is enough data to make a decision, use that data.  If not, use the data you have been working with for all these years, it has worked up till now.

3. User-Level Results Cannot Be Presented Directly

More accurately, it can be presented via a few visualizations such as a flow diagram, but these tend to be incomprehensible to all but domain experts. This means that user-level data needs to be aggregated up to a daily segment-level or property-level at the very least in order for the results to be consumable at large.

Many new segments can come from this rich data and become aggregated.  It is fine to aggregate data for reporting purposes to executives, in fact this is what they want to see.  Every once in awhile throw in a decision tree or a naive bayes output to show there is more analysis being done at a more granular level. 

4. User-Level Algorithms Have Difficulty Answering “Why”

Largely speaking, there are only two ways to analyze user-level data: one is to aggregate it into a “smaller” data set in some way and then apply statistical or heuristic analysis; the other is to analyze the data set directly using algorithmic methods.

Both can result in predictions and recommendations (e.g. move spend from campaign A to B), but algorithmic analyses tend to have difficulty answering “why” questions (e.g. why should we move spend) in a manner comprehensible to the average marketer. Certain types of algorithms such as neural networks are black boxes even to the data scientists who designed it. Which leads to the next limitation:

This is where the "art" comes into play when applying analytics on any dataset.  There are too many unknown variables that go into a purchase decision of a human being to be able to predict with absolute certainty an outcome, so there should never be a decision to move all spending in some direction or change an entire strategy based on any data model.  What should be done is test the new data models against the old way of doing business and see if they perform better.  If they do, great, you have a winner.  If they don't, use that new data to create models that will maybe create better results than the current model.  Marketing tactics and campaigns are living and breathing entities, they need to be cared for and changed constantly.

5. User Data Is Not Suited For Producing Learnings

This will probably strike you as counter-intuitive. Big data = big insights = big learnings, right?

Actionable learnings that require user-level data – for instance, applying a look-alike model to discover previously untapped customer segments – are relatively few and far in between, and require tons of effort to uncover. Boring, ol’ small data remains far more efficient at producing practical real-world learnings that you can apply to execution today.

In some cases yes, but don't discount the learnings that can come from this data.  Running this data through multiple modeling techniques may not lead to production ready models that will impact revenue streams overnight.  These rarely happen and takes many hundreds of data scientists with an accuracy rating of maybe 3% of the models making it into production.  However, running data through data mining techniques can give you unique insights into your data that regular analytics could never produce.  These are true learnings that create testable hypothesis that can be used to enhance the customer experience.

6. User-Level Data Is Subject To More Noise

If you have analyzed regular daily time series data, you know that a single outlier can completely throw off analysis results. The situation is similar with user-level data, but worse.

 This is very true.  There is so much noise in the data, that is why most time spent data modeling involves cleaning of the data.  This noise is why it is so hard to predict anything using this data.  The pearl may not be worth the dive for predictive analytics, but for data mining it is certainly worth the effort.

7. User Data Is Not Easily Accessible Or Transferable

Oh so true.  Take manageable chucks when starting to dive into these user-level data waters. 

This level of data is much harder to work with than traditional data.  In fact, executives usually don't appreciate the time and effort it takes to glean insights from large datasets.  Clear expectations should be set to ensure there are no overinflated expectations at the start of the user-level data journey.  Under promise and over deliver for a successful implementation.  

The True Purpose of a Loyalty Card Program

Loyalty card programs are now a way of life.  So many businesses in every vertical has a loyalty program based on dollars spent.  The programs range from miles in airlines, to how many stamps does a customer have on their stamp card before they get a free yogurt.  The belief is these programs will drive loyalty and incremental purchases because of the benefits offered for the spend.  But do they really drive incremental spend?  Or should the true purpose of the program not focus on the incremental spend, but something entirely different?

Airlines are the standard bearer for loyalty programs.  Frequent travelers swear by the loyalty programs and can tell you how many miles they have in their account.  With so many travelers being able to quote their miles, this must work correct?  In reality very few of the people traveling through the air really care about the loyalty programs.  Most will actually look for price or non-stops when making a decision on who to fly with.  So who are these travelers who care about the program?  They are the 2% that drive most of the revenue.  Well that's a good thing right?  The funny part about this model is most of these travelers are not actually paying for their flights.  They are frequent business travelers who are not paying out of their own pocket, their work or customers are paying for it.  The irony of these loyal customers is they would never spend that kind of money with the airline if it was their own.  They are loyal to the program because they would like the free travel when they want to go somewhere on personal time, with the family.  

So what happens with the remainder of the travelers?  Is the program enough to drive loyalty?  The answer is no.  But that is ok.  They shouldn't be designed to drive loyalty from these customers.  If they actually did, they would more than likely be too rich of a program.  So what happens to the 98%?  Should companies just not push their loyalty cards on the rest of this market?  

Loyalty program should only be rich enough for customers to want to be tracked.  Now this means many different things for each industry.  For airlines it might mean a free amenity if the customer is a member of the loyalty program.  For a yogurt shop it could be a free topping for a member.  For a casino it is the ability to receive a comp.  Grocery stores are masters, you don't get the sale price unless you are a member.  Of course I want to join for that $10 off of my grocery bill.  

Loyalty programs are an opt-in for tracking behavior.  For the majority of your customers, the loyalty rewards in your program will either be out of reach or not worth any incremental spend.  But, what you are getting is behavioral data.  How often is the customer engaging, how much is the customer spending, what are the customers patterns.  Do they only come for sales?  Do they come only when they have an incentive?  Do they come a certain day of the week?

This is the gold that comes from the loyalty program.  Mining that gold has unlimited opportunity.  Loyalty programs have 3 major flaws.

1. They are not targeted
2. They are not proactive
3. They are easily copied

Loyalty programs treat customers differently based on 1 metric, a total amount of something.  Whether that's miles flown, purchases made or points that equate to dollars spent, the one metric is dollars spent.  Well that is a good start for measuring a customer, but what if a Customer A spent $500 3 times and Customer B spent $10 150 times?  They will both be in the same loyalty tier because they spent a total of $1,500, but they are entirely different customers.  If the company can get Customer A to spend 1 more time, it is worth a lot more than if they can get Customer B to spend 1 more time.  So the loyalty program doesn't incentivize customers equally.

Loyalty programs rely on customers to want to interact.  They are reactive mechanisms, waiting for customers to spend enough to get whatever reward the customer may be wanting.  Of course good database marketers can send out reminders that someone is close to a reward or they might move up a tier, but the reward has to be enough of a carrot for that customer to change their behavior.  

All the great innovations a company can make in their program can be copied by anyone, because it is a documented program.  If the strategy is to own loyalty by having the best program, any competitor could easily come over the top and have a richer program.  This leads a race to the bottom mentality.  The company could always come back over the top, but the programs start becoming too rich, remember only be rich enough to track behavior.  If a competitor can negate your best selling points (loyalty program), then the program can never be a competitive advantage, nor do you want it to be.

This all leads to the true reason to have a loyalty program, tracking behavior.  With targeted direct marketing, companies can inventive the behavior they are looking for.  A company can give Customer A a much different communication and offer because they know that the customer will spend $500 the next time they can get the customer to engage.  The direct marketing can be proactive.  Direct marketing can take a customer from someone that rarely comes in, to someone that engages with the business on a regular basis.  Last, but certainly not least, companies can innovate without being copied. Because direct marketing is not a published benefit, there can be many different tactics for a range of different customers and the competition is blind to the strategies.  

There is so much more opportunity in direct marketing compared to the loyalty program.  By keeping expenses as small as possible in the loyalty program, it leaves much more money for direct marketing to drive the business.  When allowed to drive the business, direct marketing can target customers in many different ways, based on the customers individual behaviors, with incentives that will truly drive that particular customer.  A loyalty program will never be able to do that as effectively.