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.  

How To Win Customers Without Data-Driven Marketing

The human element – even for online businesses – always shapes the final judgment on customer retention and acquisition.

This is the exact reason why becoming a customer-driven organization is so important, even in the age of data-driven marketing.  In most cases a human interaction will determine whether customers remain loyal or churn.  This is part of the customer experience, just as much as delivering the right content to individuals to drive the desired behavior.  While data-driven marketing can handle most customer experience, for offline businesses and even online businesses, the human interaction is critical to handling the cases where things don't quite go as well as you hoped.  

The morale of this story is: make sure that your employees are your strongest, most amazing asset because the most sophisticated technology or data-driven marketing can’t replace what your employees can deliver – caring, thoughtful, on-the-spot customer happiness.

Period. Full stop.

here is so much talk about who owns the customer experience and why CMO's are reluctant to own the entire experience.  In this article the letter describes the interaction with Terry from the call-center.  Now this interaction is as much part of the brand as an advertisement driving a customer to a website or in-store.  This experience defines the brand, yet the overall person in charge of this is not the CMO, it is more than likely an callcenter manager that reports up through an operations division.  

This is where the customer-driven organization has to be a culture, not an individual.  It doesn't matter what the position title is, there is no one person that can be the customer advocate throughout large organizations.  The customer advocate has to be all employees, period.  There could be a person leading the charge, but until an organization has changed its culture to be truly customer-centric, data-driven marketing and great advertisement will never drive the most ROI possible because the organization is not focusing on the customer experience as a whole.  

For data-driven marketing to succeed doesn't need a customer-centric organization, there is a lot of value and areas to increase revenue.  My belief is all organizations should be customer-centric, this enhances all aspects of the business, not just the data-driven marketing side.

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.

 

Sears Could Disrupt Throwaway Tech Culture

It's funny the timing of this article.  I was just talking with my wife about Sears and how it seems they have no future, it's only a matter of time before the Sears retail store as we know it will no longer exist.  Then to read a headline about Sears disrupting?  Heck ya I'm interested.

The company has launched a Seattle office, and recruited retail tech execs to help it get a handle on the data it has amassed from the 40,000+ daily service queries its Home Services group collects on washing machines, refrigerators, and other appliances. It turns out that the industry average is that about 1 out of every 4 customers don’t get their appliance woes fixed on the first visit. 

“Each truck carries about 400 parts, yet those annual service calls require something like 168,000 different parts,” explained Arun Arora, the group’s president. “We’d have to have our 7,000 certified technicians driving semis around to anticipate them.”

"Big data" has so many applications and to see Sears trying to disrupt in a way that doesn't make headlines is impressive.  This kind of disruption, even though on the surface looks like a cost-savings initiative, can revolutionize the service of appliances.  Why does that matter?  Because loyalty is the name of the game.  If they make the experience of owning a machine better, even when it is getting old and needs some new life breathed into it, they can increase their base of loyal active customers.  

The more customers that are active with a company the more they will make.  If Sears can increase the number of loyal customers by offering a superior customer experience of ownership, they can drive more sales in other areas.  It is the process of rebuilding trust with a brand.  If I knew buying an oven will have a longer shelf-life and the company where I was buying it can make that happen, then it makes where I buy more interesting.  

So many times in the retail space it comes down to price.  Everyone sells ovens and mostly from the same manufacturers, so there is very little to differentiate.  The easiest rode to differentiation is price.  The problem is when competing on price, the business can never win.  They are not cultivating loyal customers, in fact they are probably selling to the exact wrong customer.  If a customer is only going to choose on price, they are by definition not loyal customers.  If Sears can differentiate beyond price and experience in the stores, they can grow their loyal database.  That's a big win.   

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.  

The Missing Connection Between Big Data and Great Insights for Data-Driven Marketers

Data-driven marketers today are wondering how they can gain insight from big data. The answer? The ability to change is the connection between big data and insight. Data-driven marketers today know that their roles are changing: 68% of marketers think that marketing has seen more changes in the last two years than it has in the past 50 years, according to a recent survey.  The changes are due to a renewed focus on customer experience within their jobs, and the need to use big data to improve that experience.

Customer Experience is the buzzword over the last 2 years, combine this with the other buzzword of "big data" and you can understand why 68% of marketers think marketing has changed so drastically the last couple of years.  I think what is causing all this change is how technology has shifted the paradigm of marketing.  

For many years marketers were able to call on plays from the same playbook and be very successful.  The technology was never really able to advance the playbook and very few companies were pushing the boundaries.  Today, marketing technology companies are driving the sea change, creating platforms which make creating authentic customer experiences possible on a large scale.  

Companies are having to tear up their playbook and turn their strategy on its head.  This goes well beyond just the marketing playbook.  Companies are having to start culture change throughout the organization as the customer experience goes well beyond just the marketing department.  As customers interact with all parts of organizations, there is little care of operational silos within companies.  

The biggest sea change is what Adobe refers to "marketing beyond marketing".  No longer can marketing leaders be focused on the message and bring in customers, only to wipe their hands after the customer starts engaging with the brand.  Marketers are learning they are the leaders of the customer experience renaissance.  Marketing is having to drive the experience of the customer throughout entire organizations, which is not a skill-set a traditional marketer has.  This change will be driving "big data" initiatives as marketers are learning to understand their customers in new and interesting ways.  

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?

How CMOs Can Make Sure Their Companies Are Customer-Obsessed

CMOs are charged with making their companies customer-obsessed — so they can win in an age where customers are highly empowered. But the irony is that many marketing shops themselves are not customer-obsessed.

I am continually thinking about the customer-centric approach and who should own it in the organization.  The CMO is the obvious choice, however are they the best choice?  I have seen where organizations have a C-level position, something to the tune of Chief Customer Officer.  This is also thought because it ends up being another level in the organization, another potential touchpoint in the organization that has to bring different groups in the organization together around one common goal.  I think it comes down to having the right person.

Marketers are predisposed to think about the market first. So why are marketers not naturally predisposed to be customer-obsessed? The answer lies in gravity — the gravity of the P&L and the associated product, solution or service performance.

It's always about the customer.  Everything should come back to customer analytics.  I think Finance departments have too much power in some organizations where high-level KPI's are all about a product or a service.  The problem with these KPI's is they don't go far enough down to the "people" who are driving those metrics.  It is similar to fixing a symptom instead of the actual source of the problem.

For example, the company sells 1,000,000 widgets and they want to grow this by 3% in the next quarter.  This is the entire wrong approach to the problem.  Widgets don't grow by 3%.  3% more customers buy widgets in the quarter.  It is imperative to start with the customer because they are the ones that are purchasing these widgets.  So to grow those numbers, marketers need to embrace the customers to grow their numbers.

I have spoken with many CMOs — across industries and geographies — and this common theme has emerged: Marketing’s relevance and performance is now predicated on putting the customer at the center of the universe. This is neither elective nor minor surgery. Most believe an overhaul — not a simple refinement — is needed to make marketing customer-obsessed and truly able to drive growth.

Changing to a customer-centric organization is a complete change in culture.  This does not happen overnight.  It takes a dedicated team with a singular focus many months to accomplish.  I once read to change a culture, a great organization with amazing focus will take 18 months.  There are not that many of these organizations out there.  The average is 4 years.  So organizations need to start their culture change today.  There is no time to waste.  The customer-obsessed organization will be the most successful in the new customer empowered buying dynamic.  

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.

Yelp is Looking For Buyers

In reading the daily update on Stratechery by Ben Thompson, which I highly recommend, he discusses Yelp being on the market.  Yelp is definitely underperforming compared to other social network advertising platforms.  Their revenue is very small, $377 million in 2014 and the growth is not as large as it needs to be for a corporation the size of Yelp.  

What strikes me as interesting in the case of Yelp is their strategy.  Yesterday I commented on an article about strategy and how to assess if your strategy is valid.  I believe Yelp has a strategy that is destined to fail.  Yelp is running the same strategy as the market leaders, which is as an advertising platform.  

The issue I see with their strategy is it is not differentiated.  In fact, their offering is worse than the market leaders when it comes to their ad product.  One may argue their product is differentiated because if a customer is searching for example Mexican Restaurants, then as a Mexican Restaurant it can't get more targeted than an ad for someone looking for that kind of food in a small geographical area.  The problem with this is customers aren't looking for ads on Yelp, they are looking for advice.  An ad is the opposite of what they desire.

 I frequently hear in the tech community that Twitter doesn't understand its product.  They want the product to be something other than what it is.  I fear Yelp may be in the same boat.  Yelp is an aggregator of reviews, they are the trusted source of "where should I eat".  That trust comes from customers reviews.  

elp has the opportunity to differentiate their business.  Their strategy should be the opposite of the strengths of Google and Facebook.  

Loyalty

Yelp has a loyal customer base, however they do not take advantage of this.  Their product has not really changed much since its inception, especially in mobile.  With the advent of technologies, such as beacons, it surprises me that Yelp hasn't taken advantage of its loyal base and struck up deals with local businesses to do a loyalty program with Yelp.  Businesses rely on having great Yelp reviews and this can be parlayed into some kind of loyalty program with a beacon backbone that would identify if a customer was at the business and how much was spent using new location aware technologies.

Recommendation Engine

Because of the amount of data Yelp has it is surprising they haven't developed a more intuitive recommendation engine.  I am always looking for places that I would enjoy and it would be nice if an app told me where I should go and what I should order or what services I should buy.  Yelp is in such a unique position to deliver this.  

I believe they have the ability to enhance their product by allowing customers to rate something without writing a review.  This is something that doesn't have to count to the external rating of the restaurant, but as a means to gather likes of an individual.  This is easy and more customers would rate the businesses in turn.  They can then use this information to have the ultimate "lookalike" recommendation engine.  This is far more powerful than anything Google or Facebook can do.

Targeted Ads and Data

With this lookalike system in place, Yelp can then sell back to the businesses in the form of ads and data.  Since they will have information on all the buyers who are interacting with Yelp, not just the people who take the time to write a review, Yelp can then sell all the information about the customers back to the businesses for a fee.  The ads can then become more targeted because advertisers can get on the home screen of the app with a customer that is highly likely to enjoy the businesses offerings.  As customers see the recommendations are more accurate and they enjoy the businesses experiences, they will end up buying more items through Yelp advertising because of the accuracy.  This will drive higher ad prices for Yelp and bigger returns for the business as they can attract customers that will become more loyal.

I would love the opportunity to innovate at Yelp.  They are in such a unique position to do something different, but they are building the exact same monetary offerings as their competition.  The problem is they don't have the scale.  Just like Twitter, they have to be better and more accurate with their advertising.  This will drive advertising dollars their way because it is more efficient spend and that is what advertisers are looking to achieve.

The App Store is in Trouble Without Paid Upgrades

I want to preface this by saying I am not an app developer, however I have watched the app store and Apple for a long time now.  I have also lead very successful digital marketing teams for billion dollar revenue companies, so I know a thing or two about marketing ad driving revenue for products and services.  

Ever since the app store was introduced in 2008 it has been a boon for many developers, but more and more I hear their revenues are down even though the app store as a whole is up.  I hear a lot of complaints about the app store is geared to only help the top grossing apps or the apps Apple wants to help.  All of this is true, it is hard to find the app you want in the app store and their curation definitely has some favoritism happening, but that's business.  These are problems that still need to be solved, but the biggest problem in my eyes is the lack of paid upgrades.

Being a consumer of apps I have enjoyed the lack of paid upgrades, it allows me to reap the benefits from the app for a long time.  However, I paid for Instapaper 6 years ago and I have not paid a dime since, this is not a good model for the app developers.  I am a loyal customer, but I don't need the upgrades that come with the monthly fee, which I think is spending too much for the extras.

Loyal customers are the best source of additional revenue

For any business to thrive, they have to be able to establish a base of business that provides the bulk of the revenue.  This is the loyal customer base that equates to 70-80% of the revenue, but accounts for only 30-50% of the investment in advertising and marketing.  These are the customers that love the products, tell all their friends about the products and buy new products when available.  This is why Apple is crushing their competition because they have a loyal base of customers that buy new products from Apple when available.

For app developers, without a model for paid upgrades, they are forced into a model of perpetually finding new customers or create a subscription type model.  For game developers this is fine, because they can create an experience that is easier and more enjoyable for the gamer when purchasing extra coins to make getting through levels faster.  People are willing to pay for these and that is great.  For the indie app developer making polished apps, this model does not work.  For that reason, they are constantly trying to find another customer who will buy their app for $2.99 and then forget about them.  This is not a sustainable business model.  Eventually there are not enough customers to buy the new app to make a living.  As more people buy the app, the less people there are to buy the app in the pool, so it is inevitable that revenues will not be maintained.

Beautiful apps will become fewer and far between

The Apple app store is filled with a lot of garbage, but it is also filled with amazing apps.  Apps that developers have put their heart and soul into.  Even back in the days of only the Mac, an application on that platform was much nicer than applications on the PC.  This is a trend that continued on iOS and continues to this day.  But that may all change soon.

A developer has to feel confident they will get a return on their investment for the time they put into an app.  There are never certainties in this business, but someone who takes pride in what they build will always take the time needed to make it beautiful, functional and have the best customer experience possible.  If there is not a business model that seems viable, the developer is then forced to create many apps or develop for multiple platforms to succeed.  This limits their time.  Limited time results in less polished, less amazing apps.  This hurts the app store.  This hurts Apples platform.

Paid Upgrades is a superior app business model

Paid upgrades give the app developer the opportunity to continue to work on their app while making money from current loyal customers and new customers alike.  This is a sustainable business model.  It is also a business model that will create and maintain amazing apps.  So many developers have created great apps and made very good money, only to see the app become less and less updated over time leaving the customer with the same experience they had 5 years ago. 

A paid upgrade model will allow developers to build apps that they want in their heart to build, continue to improve that app, while having a revenue stream that supports the added development work.  This will result in apps that have longer shelf lives.  Imagine if this model existed and Marco Arment was still toying with Instapaper because their was a revenue stream that could sustain the business?  Developers like him and many others would continually improve and push the envelope of what their apps can do.  All this would cost the customer $3.99 a year, or every other year, or whenever the developer decided the upgrades to the app warranted an upgrade?  And if the customer didn't want to upgrade, that's fine, they can stay with an older version.   

I would like to see Apple adopt this model.  I know app developers have been begging for years, but I am an app consumer that is now begging.  I don't want amazing, innovative apps to go away.  I want apps where developers spend many hours toying with the customer experience until it is just right.  Where they obsess over every little detail because they know their most loyal customers will remain loyal because of that obsession.  Where they create the next "pull to refresh" because they know there is a better way.  

I don't want to live within a platform where the developers don't improve upon their original design because it is not worth the effort from a revenue perspective.  Please Apple, just for us app consumers.

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.

Additional Thoughts on Twitter

A comment from John Dexter had me thinking even more about the Twitter problem.  I think it is clear to me, more than ever, that owning the platform is more important than owning the interaction when it comes to Twitter.  

In 2012 Twitter decided it was going to be an app company instead of a platform company.  They blew off their third-party developers in hopes to bring all of the eyeballs from the Twitter stream/firehose into their own app and webpage to monetize with advertising.  This essentially laid the groundwork for Twitter not owning just the platform, but owning the entire experience.  In the case of Apple and Facebook, this is good because it is their core competency to own all the widgets.  When looking at Twitter, a big reason they are where they are today is because of innovations by third-parties.  They would not be in mobile if it wasn't for other developers getting there first.  All of the app innovations have been made by third-party developers, so much so that Twitter had to purchase one of them to catch up.

Twitter should take a step back and develop the platform to generate revenue.  If agreements were laid out to developers allowing them to get a piece of the ad revenue generated through their apps, they would be great partners in pushing the ads in new and intuitive ways.  Twitter can then focus on knowing the Twitter customer, the logged in user, better than Facebook knows their customers.  I believe Twitter has an advantage because they know peoples interests better. The people I follow on Twitter align more to my interests than the people am "friends" with on Facebook.  Facebook tends to focus more on real-world relationships and the close knit social graph.  

Once Twitter can repair the relationships with third party developers and focus on developing the platform to maximize ad placement, they don't have to worry about innovating apps that sit on top of that platform, which they are not particularly good at doing anyway.  This model would bring the most app innovation, while at the same time, allow Twitter to focus on revenue generation for the platform.  The third-party developers would have to share all the data back  and then Twitter can be the master of the customer, which is where the ad revenue will come from.  Focus on being able to deliver the best ad to people consuming the stream.  

Big Data: How Netflix Uses It to Drive Business Success

Bernard Marr writes how Netflix uses data to fuel their business:

Netflix is said to account for one third of peak-time internet traffic in the US. Last year it announced that it had signed up 50 million subscribers around the world. Data from all of them is collected and monitored in an attempt to understand our viewing habits. But its data isn’t just “big” in the literal sense. It is the combination of this data with cutting edge analytical techniques that makes Netflix a true Big Data company.

Netflix is a fascinating company.  They were able to build a business model that put a giant industry, retail movie rentals, out of business and then pivot to streaming before being out innovated by other companies.  They are constantly ahead of the curve when it comes to recognizing the next new technology and digital strategy.  They recognized early that original content was also a key to success, so they are pivoting into becoming greater than HBO at their own game.

More recently, Netflix has moved towards positioning itself as a content creator, not just a distribution method for movie studios and other networks. Its strategy here has also been firmly driven by its data – which showed that its subscribers had a voracious appetite for content directed by David Fincher and starring Kevin Spacey. After outbidding networks including HBO and ABC for the rights to House of Cards, it was so confident that it fitted its predictive model for the “perfect TV show” that is bucked convention of producing a pilot, and immediately commissioned two seasons comprising of 26 episodes.

This is how data-driven organizations behave.  They look at their customers and use data to determine the optimal next move.  All their strategy and tactics are based on using what they know about their customers and what they will do.  So many times organizations are obsessed with what other companies are doing, regardless of what their data is telling them.  They will copy their competitors for fear they are missing out on opportunities.  

The question I always ask is, "how do you know what the other guys are doing is working?"  What you see as a threat, may be a disaster because they haven't set up the correct means to measure the performance or are looking at the wrong KPI's.  Worse yet, they may be attracting an entirely different customer than what you are trying to target.  

A data-driven organization looks at their data and reacts.  Netflix, I am assuming, saw that many of their users were binge watching TV series as soon as they came out.  I'm sure this started with Breaking Bad, Mad Men, great content.  They saw an opportunity to create this content on there own as the majority of the time spent on Netflix is binge watching TV.  They looked at their own data and saw the opportunity to increase time on Netflix and add subscriptions by creating content.  But not just any ole content.  They had the data which showed what their customers loved watching and what resonated with them.  They were able to see what shows were being dropped off of the binge halfway through.  They saw what types of shows were most addictive.  

The content creators gave their biggest competitor the keys to the kingdom, data.  Now Netflix is poised to put a lot of the content creators out of business because they know way more about their customers behaviors than the content creators know.  Because Netflix controls the entire experience, from creation, to delivery, to analyzing the behavior, they can create superior content.  It is a model that is brilliant.  Netflix will continue to dominate, especially in the age where people are looking to become "cord-cutters".  I believe we will see even better content coming out of Netflix in the near future as they learn even more about what we like to watch.

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.  

Is Loyalty Boring Customers?

Found an interesting article from September 2014 from Caroline Papadatos which discusses the gamification of loyalty programs.  It really gets the mind going, because I think the gasification side is not data driven enough and the opposite is true from the data side.

A few weeks ago, I had the privilege of judging the 2014 LoyaltyGames, an incredible week-long global challenge involving 1,500 practitioners and students from 102 countries, with 15 judges who were remarkably, never in the same room nor on the same continent.

The 2014 contest had three components: awareness building, game design and loyalty building.  The game experiences were clever and fun, and I was won over by the sheer creative genius of the contest submissions. The loyalty component was straightforward: reward and recognize customer / donor tiers without breaking the bank. With a gamification spin, it meant solving a conventional customer engagement problem with an unconventional tool set. Sounds simple enough, but as I scanned case submissions looking for earn ratios and attainability models, all I could find were badges, likes, certificates and pins.

It is fascinating how much badges and pins can get people excited.  The basis of these games has a lot of merit, but what I have a problem with is the same with social media as a channel, it is not targeted at all.  There's no meat behind the game.

My answer came from Gabe Zichermann who in a recent eight-part gamification series in COLLOQUY Magazine makes the bold statement that “loyalty isn’t fun enough anymore” and our customers are bored. Gabe clearly has a point – loyalty now competes for attention in a world where Angry Birds has been downloaded two billion times. It gets worse. At the LoyaltyGames award ceremony, a renowned gamification expert accused loyalty programs of “bribing” their customers. Now my back is up, but are we outraged or outdated? 

The truth is that loyalty programs need a shot in the arm, and while experience design always has a place in the loyalty tool set, few data practitioners are charming or entertaining. And gaming is not just for Millennials. The average social gamer is a 43-year-old-woman, which just happens to be the primary target market for grocers, drugstores and a host of other retailers. So why aren’t loyalty practitioners flocking to gaming? 

I totally agree, loyalty programs need a shot in the arm.  As I have written before, most people engaging with loyalty programs are just taking the free stuff, theres very little loyalty or behavior being driven from them.  It is fascinating to combine the rich data from the loyalty programs to the fun concepts in gamification to create a targeted loyalty gamification model.  I think this would work extremely well.

I could imagine a program where certain behaviors are awarded more points and a bounce back offer could include multiple point thresholds for buying everything in a market basket analysis.  So if the customer who usually buys a TV also buys cables, programmable remotes and a blue-ray player, the customer will get multipliers if these are purchased in the next 2 months.  This gives some fun to the loyalty program, while driving the behavior to purchase items that are typically purchased with TV's.  The best of both worlds.

There’s no doubt that loyalty programs lose their luster when they became overly programmatic, but where gaming meets transactional data analysis and customer behavior change, there are notable exceptions. BrandLoyalty’s Instant Loyalty Programs in Europe, Asia and South America have a huge fun-factor for retail shoppers – on the surface they’re a widely popular collectible game for children but there is a financial underpinning that drives incremental spend, participation and superior financial performance based on maximum turnover & transactions from family households.

Whether you’re pro-loyalty or gamification, you can certainly agree with Gabe on this: “taking something that’s crummy and putting some game frosting on it won’t magically change your customer”. But let’s face it, the mix of gaming techniques and data-driven loyalty can only be good for business. And be honest, if you were given the choice of getting on a plane for yet another industry slideshow or signing up for a multi-player gaming challenge, which would you choose?

Perfect combination, a shot in the arm.  The technology exists, lets gamify our programs.  This is what I have been harping on about for a month.  These are the types of things that create great customer experiences.    

The James Hotel Combines Beauty and Elite Customer Experience for its Loyalty Guests

Mark Johnson from Loyalty360.com writes:

The James is redefining luxury boutique hotels in New York, Chicago and soon in West Hollywood for its loyal guests. The hotel focuses on providing beautiful designs and outstanding customer service.

Lisa Zandee, Senior Vice President of Brand Management, told Loyalty360 that The James is a leader in creating design and guest centric services. “Both are extremely important,” she explained. “It’s about form and function. It has to work and look good.”

An interesting interview with the Senior Vice President of Brand for the boutique chain.  Many of the points Zandee brings up are very true to run a successful hospitality operation, especially in the high-end boutique industry.  Customer service and differentiated experiences are the key for these types of properties to thrive.  Being a small hotel allows for personalized service which is the definition of a boutique experience.  

Where I think problems will start to occur is the lack of respect for data in driving decisions.  Zandee dismisses data as something that clouds the teams judgement when developing initiatives.  I think this will come back to haunt this team.  Again, there is an art and science to marketing in the digital age and The James is disregarding the science portion.  Creating a loyal database is key to surviving in the hospitality industry and solely relying on social media and your loyalty rewards program is leaving profit on the table.  

Most CRM programs make the most money from customers who aren't giving you the loyalty you are looking for, so to minimize this group can lead to reservations coming through less profitable and less loyal channels.  Increasing the base of the business coming from known customers increases profits while enabling control of the customer experience.  Delivering great customer experiences in the digital age relies on data as an important component.