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.

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.  

The Messy Business of Reinventing Happiness - Fast Company

Austin Carr wrote a fascinating piece in Fast Company about the behind the scenes struggles to implement Disney's MagicBand at Disney World.  It details the infighting and politics at one of the most revered brands in the world.  The MagicBand is a new innovation to Disney Theme Parks (only at the Orlando Disney World Theme Park at this time) which brings NFC technology to life in a 40 year old product.  The ideas behind the MagicBand were well thought out and they were trying to solve real problems at Disney World, but they couldn't deliver on the entire dream and it proves that Customer Experience is a cultural change more than an initiative which I have been writing about for a few weeks now.  

The article is very in depth and I think points out a few mistakes in launching an initiative this grandiose.  The main point it proves is how hard it is to change a culture when it comes to customer experience, because so many people in the organization want to eep their points of power rather than thinking of the customer.  It is human nature to be scared of technology that may serve the customer better, it puts people in a defensive mode.  Even when a company as big as Disney commits $1 Billion to the initiative, without the cultural change it makes it near impossible to create magic.

Dream Big, Implement in Stages

The dream was large for the Next Generation Experience (NGE) team at Disney.  They wanted to solve the real world problems that were influencing customer satisfaction at the park.  Long lines, juggling multiple pieces of paper and keys were bringing down an experience that is supposed to be one of enjoyment.  One of the main issues is they were trying to bite off more than they could chew with their implementation.  At one point they were trying to change the airport arrival and had meetings with TSA on airport security procedures.  I understand controlling the entire experience, something Steve Jobs has taught all of us, but at some point these types of distractions take away from the big picture, which is implementing and iterating.  

The biggest problems Disney was trying to solve was long lines and handling of multiple items (tickets, Fast Pass tickets, money, hotel room keys, etc.).  The team was 2 years late delivering on their initiative because they forgot what the main goal of the project was.  The team was distracted with all the technology could do, instead of solving the immediate problems and then iterating on the technology to enhance other experiences.  Always handle the low hanging fruit first, then iterate to enhance the next set of opportunities.  

Keep the Team Small for as Long as Possible

Once the team grows to include more people to implement, projects start spinning out of control.  Change is very hard for people and they will fight it especially when it comes to areas they control within an organization.  Because the plan was growing larger than solving the immediate problems, more people from the organization had to be brought in which slowed the project down to a crawl.  The leaders of the areas being affected wanted control and they wanted a say in the development of the technology.  Embrace the leaders of the areas that will be affected and make sure they are represented on the early small team.  If they embrace the change and feel they had a part in the development, they will get the troops aligned once implantation begins.

Clearly Articulate Goals

The goals of the initiative in my eyes were to enhance the customer experience at the theme park.  What happens in these large initiatives is the organization gets hung up on the technology instead of what the technology is trying to help solve.  Technology in and of itself is worthless, unless used for a purpose to solve a real world problem that cannot be solved another way more efficiently.  NFC technology in a bracelet does not solve any problems by itself, it is the implantation of this technology that is the magic.  Always keep the goals, which is enhancing the customer experience in this case, front and center.  Never start from the technology and work backwards, start from the problem and work forward to how the technology can help solve the problem.

I am fascinated how organizations behave.  Each culture is very different, but they all tend to have the same issues.  The bigger the organization becomes, the harder it is to accomplish innovative change.  Politics and human ego can be the death of innovation.  The Disney project succeeded through sheer will to get it done, but proves that even throwing money at something doesn't guarantee success.  The culture of the company has to be customer-centric before it can solve the problems of the customer.   

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.  

Using Smartphones and Apps to Enhance Loyalty Programs - NYTimes.com

I am such a big fan of using rewards on a smartphone.  There is no better way to communicate with a customer than with the device they are carrying around in their pocket.  The next evolution for rewards programs is moving from a card in the hand or a punch card mentality to devices that allow even smaller businesses to compete against bigger competitors.  

Smartphones and loyalty apps have begun offering small businesses enhanced program features and automated administration capabilities once affordable only to large companies like airlines and hotel chains. These capabilities also offer the equivalent of a real-world psychology lab for easily evaluating the effects of offerings and incentives on customer loyalty.

The key to any reward program is to capture data about a customers behavior.  If your program isn't allowing you to capture transactional level data in conjunction with the program, there may be a need to consider this approach.  If only to capture the amount spend and the date, this will allow a lot more opportunity for the business.  As I wrote in The True Purpose of a Loyalty Rewards Program, it is imperative to have a program that incentivizes a customer to share their data with you, but not over-incentivize.  The key is to drive behavior by targeting the customer, rather than giving everyone the same rewards.

“Clearly, this is the best of times for loyalty programs,” said Mr. Bolden of the Boston Consulting Group, who recommended that small businesses “focus on the non-earn-and-burn aspects of the program.” He suggested that spas consider a separate waiting room for their app-identified best customers.

“Or when the treatment is over, you hand the customer a glass of Champagne and strawberries,” he added. “If you’re an apparel retailer and you get in a new line from a new designer, invite the top 5 percent of your customers in first so they can see it before anyone else.” The point is that many effective rewards need not cost much to bestow.

Driving behavior is not all about a discount.  Understanding what your customers want and delivering them an experience is more important than a discount.  Because a customer that is coming just for a discount is more than likely not your most loyal customer.

“With apps you now can target specific customers and influence specific behaviors and keep track of all the results and understand the results,” Mr. Smylie said. “Because the check-level detail is now tied to a customer’s profile, we can understand what their purchasing behavior is, what their interests are and cross-reference that against their social media profiles and market to them more effectively and involve them at a deeper level with our brand.”

 

Across The Board, CMOs Struggling To Deliver An Integrated Customer Experience

Daniel Newman writes for Forbes:

Back in January of this year in an article entitled Are CMOs Poised To Take Over Technology Purchasing? I wrote that “Whether they (CMOs) are ready or not, technology is fast becoming an inextricable part of the CMO’s functions, and they need to participate in making tech decisions in order to determine the ROI for purchases.”

Based upon the results of a recently released study from The CMO Club and Oracle Marketing Cloud a great number of CMOs are indeed not ready to utilize the technology that is available to them as a means to deliver upon long sought after integrated customer experience.

The days of a CMO not being technology savvy are over.  CMO's need to understand technology as well as they do brand.  The tools being developed in the marketing cloud space are very compelling, but they are nascent, so the demands to implement are greater than they will be 5 years from now.  Implementing technology toolsets are not for the faint of heart and the better the CMO understands the toolsets, the faster to market.  

CMO's should be data savvy.  They should understand where the data lives, how it flows and what the data is telling them about the customer.  It all starts with the data.  

Be the customer champion every step of the way: CMOs need a clear understanding of how customers and prospects interact with their brands at every stage, from consideration, to engagement, to purchase and advocacy. They are the voice of the customer, translating insights to actions across every organizational function.

This was a big focus of Adobe Marketing Cloud Summit 2015.  Their tagline "Marketing beyond Marketing", which didn't resonate as much as they hoped, is what the customer experience is all about.  Marketing has to be involved with all touchpoint throughout the organizations.  This involves operations units which have not been a priority for marketing in the past.  

Become BFFs with your CIO: Of those surveyed, only one of 110 respondents referenced a positive relationship with their CIO. A critical action item for a CMO is to reach out to their CIO to collaborate, plan, and integrate activities.

This may be easier said than done.  Most CIO's and CMO's do not speak the same language.  If a CMO is technologically savvy, it will be easier to communicate with the CIO to create the technology roadmap for the customer experience.  The scary part of this is only 1 out 110 CMO's surveyed have a positive relationship with their CIO.  Either the CMO has to move toward technology or the CIO has to move towards marketing.  I prefer the former.  

Co-design the optimal customer-driven technology roadmap: CMOs need to develop an understanding of the technology that is required to deliver the optimal customer experience and co-design the technology roadmap with the CIO, allowing flexibility in design to incorporate new technology and third party applications.

Again, this becomes impossible if the CMO and CIO are not in sync.  Both sides have to respect each other for the relationship to become collaborative and if the CMO is not also a technologist, the chances of this item happening are slim.  

Rethink your marketing organization and processes: There are many formal and informal opportunities to create collaboration across marketing departments and technology. As critical as it is to building the right culture and cross-functional environment, it’s also critical to hire the right talent.

As I wrote in Agile is the Key to Digital Marketing Success, the structure of the marketing organization needs to be changed.  Marketing organizations need to include technology resources in order to be agile in the digital marketing age.  Developing a technology culture within the marketing organization is a main component for delivering great customer experiences.

Establish a system for continuous improvement: The customer is outpacing companies in terms of their expectations for personalized service compared to a company’s ability to act on the information – both technologically and analytically. The CMO of today must – in addition to being agile – be open to taking chances and remain risk receptive.

If you're not failing you're not trying.  Marketing is a living breathing entity, especially in the digital age.  There will never be a time when a marketing organization can implement a plan and then check it off the list.  CMO's need to have their fingers on the pulse of society and the technology that customers are moving towards.  Just when a company has implanted their mobile strategy, here comes the watch and the Internet of Things that may change the way marketers have to think.  Having a technologist as the CMO will increase the chances that the organization will stay in touch with the customers, no matter where they move to next.

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. 

'70 Percent of CRM Installs Fail' and Other Crappy Stats You Should Ignore

The big stat that I think is very interesting is the total amount of organizations that have marketing technology installed.  Such a low number.

by looking at data from 3 million businesses in our Fall 2014 report, that the truth — a statistically significant number across all sizes of business, and 151 industries — is much harsher. Marketing technology (as a whole) only has 4.1% penetration, let alone marketing automation.