Marketing Darwinism - by Paul Dunay
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Marketing Darwinism - by Paul Dunay
Advertising, Big Data, Business Intelligence, Cloud, Data, Data Analytics, Data Mining, Innovation, Strategy

Real Estate, Real AI, Real Value

Submitted article by Romi Mahajan

Chief Commercial Officer, Quantarium

The world of technology is known as much for its hype as it is for its legitimate innovations.  Atone level, this is understandable. Dreamers can only accomplish big things when they dream big and followup on those dreams with supporting rhetoric. At a different level, however, it serves to dupe consumers, customers,and investors into alchemist fantasies that often defy the laws of physics.  What we need, naturally, is a balance.

With AI, and claims about it, we as a community have come to the point where we have to decide if we are okay with “fact-checking.”  Are all claims about AI fair and accurate?  Do all companies that claim to be “doing AI” pass muster in that regard? After all, haven’t many organizations referred to any and all of their “data”initiatives as AI? Have we diluted the term so as to make it meaningless?

Discerning investors have started to kick the AI tires.  Highly skilled Scientists and Engineers increasingly refuse to be beguiled by marketing claims, choosing instead to dig deeply into the code and methodologies surrounding its production before allowing themselves to be recruited by the countless organizations that seek the limited supply of talent. 

Perhaps more relevant, still, is that people in all roles ask one fundamental question:  “Is there any relevant and practical application to the AI work you are doing?”

On all these matters, Quantarium can hold its head high.  From “Real AI” to “Real Applications of AI,”Quantarium is altering and enhancing our notions of what is possible in residential real estate, the world’s single largest asset class.

Take for instance an important but mundane question, likely asked by millions of people every day.  “What is my house worth?”  Several pundits will offer several answers to this question, no doubt.  But, will the answers be accurate and in this case, what does accuracy even mean?  What data goes into the answer?  Do we have all the data we need?  Is it all available? Do the data we collect account for every single aspect of the house that could or should go into the valuation? 

Now take an extrapolation of this question with magnified scale.  Imagine you are the CEO of a large bank that “owns” half-a-million residential mortgages. What is your portfolio worth?  How much risk are you holding in the portfolio?  Are you too exposed in a particular geography or demographic?  Do you have sufficient data and the ability to process and make sense out of it?  Can you do this all with the speed that is called for by regulation and market conditions?

These questions are easy to pose but hard to answer.  Further, while these questions may not seem “sexy,” they underscore the reality of the single biggest source of economic value and for most families the single largest source of equity.  Using AI to drive accuracy, speed, and scale in this market is complex, genuine and incredibly important.Indeed, real AI applied to real industries with real outcomes is the name of the game. Therein lies the balance we seek, the convergence of both the hype and of the reality.

December 18, 2018by Paul Dunay
Buzz Marketing, Content Marketing, Conversational Marketing, Digital Transformation, Interactive Marketing, Lead Generation, Lead Nurturing, Online Testing, Real Time Marketing

Interview with Srivats Srinivasan of Nayamode

I sat down with Srivats Srinivasan, an associate and entrepreneur. Srivats’ company, Nayamode, just acquired a Bay-Area agency called Bluewave. Interesting to see Seattle companies buying Bay Area outfits! I was particularly interested in this because of the role Marketing plays in Digital Transformation- this acquisition was based on Nayamode rounding out its Digital Transformation services.

Some excerpts from the chat …

Marketing Darwinism: Srivats, congratulations on both Nayamode’s success and the recent acquisition of Bluewave. Tell us more about your strategy.

SS: Thanks. We felt strongly that growth and evolution – really our journey to the next phase – required deepening elements of our skill-set as it pertains to the overall rubric of Digital Transformation. In this case, we were enamored with Bluewave’s deep design and visual storytelling track-record and understood that it was a key element in this next phase for us. The strong team and delightful customer base was a wonderful addition too!

Marketing Darwinism: You mentioned Digital Transformation. In your conception, what does it mean exactly?

SS: Yes, we understand that it is a term bandied about, almost in fact too much. In our view, Digital Transformation is about using technology judiciously and in context to create products, processes, and services that enhance and accelerate the best parts of the organization and keep the worst tendencies at bay. Digital Transformation is neither a one-size fits all “thing” nor is it an overnight turn. As with most fundamental shifts, there is a journey required and technology plays only so big a role.

Marketing Darwinism: Nayamode is one of those interesting stories insofar as you’ve grown without really marketing yourself in a broad sense. As Marketers, our readers would love to understand a bit more about your strategy here.

SS: You are no doubt generally correct but we are changing! At the outset, we grew through the sales process, leveraging our connections and experience in Marketing in large organizations, mostly in technology. As we grew, we certainly evolved, but were lucky in that our customers and we created deep partnerships in which as long as we continued to do great work and listen, we remained loyal to each other. Also, we had a bit of the “Cobbler’s Children” problem in which we paid so much attention externally that at times we neglected ourselves. That has changed however. In this phase, very much the most exciting phase in our history as a company, telling our story will be an integral part of the strategy. We are humbled to be included, for instance, in this blog.

Editor’s Note: While in some cases Marketing is an afterthought, we believe that Marketing firms can lead the process of Digital Transformation because of their keen view of the customer and their expertise in pivoting quickly based on business models and customer needs. This traverses the B to B and B to C spaces. We want to hear about other cases of M&A by Marketing companies looking to complete their Digital Transformation portfolios.

April 18, 2018by Paul Dunay
Advertising, Advocates, Artificial Intelligence, Blockchain, Branding, Cause Marketing, Conversion, Conversion Optimization, Customer Experience, Data Mining, Influencer, Innovation, Interactive Marketing, Internet, Lead Generation, Optimization, Reputation Management, Social Media, Strategy, Transformation, User Generated Content

7 Ways Blockchain can Transform Marketing

Here’s a great video of me and Aseem Badshah the CEO of Socedo, a social media lead generation tool, talking about 7 ways Blockchain can transform marketing! We hope you enjoy it …

January 26, 2018by Paul Dunay
Agile Marketing, Business Intelligence, Content Marketing, Conversational Marketing, Innovation, Interactive Marketing, Marketing, ROI, Social Media, Social Networking, Thought Leadership, Transformation

Are Marketers over indexing on ROI and the return of the Marketing Mix?

Two of my very good friends, Romi Mahajan of the KKM Group and Aseem Badshah of Socedo shot a video discussing our most recent blog post on the Return of the Marketing Mix. Ultimately, marketing is a mix of channels, tactics, and bets, of which some are measurable and some are not. It’s time for marketers to reclaim their role as engagers, risk-takers, and experimenters!!

January 16, 2018by Paul Dunay
Branding, Innovation, Strategy, Thought Leadership

Interview with Simon Sinek – Start With Why

Simon_Sinek_2_pr-1024x681

I had a chance to catch up with fellow author, Simon Sinek to discuss his book called – Start With Why at the World Business Forum held in New York at Radio City Music Hall on October 7-8. My goal was to go a bit more in-depth on how to get started for B2B marketers, hope you enjoy the interview.

For those that follow this blog but are not yet familiar with your book Start with Why, give us little background.

A few years ago, I discovered that every single organization on the planet, even our own careers always function on the same three levels: what we do, how we do it, and why we do it. Everybody knows what they do. It’s the products we sell or the services we offer. Some know how we do it. It’s whatever you call it, your differentiating value proposition, your USP, the things that you think make you different or stand out from the crowd. But very few people and very few organizations can clearly articulate why they do what they do. But why I don’t mean to make money. That’s a result. I mean what’s your purpose, what’s your cause, what’s your belief, why does your company exist. And those that understand the why can clearly communicate it have an unbalanced amount of influence and success and loyalty in the marketplace with greater ability to innovate on all the rest of it.

Can every company have a why?

Not only can a big company have a why, every company does have a why. It comes from the founder. It’s the reason why they started the company. Those that are started from market opportunity, I read this article in a magazine and I realize that those tend to be very weak and they tend to not do well. But when a human being personally suffered or people close to them personally suffered something and they found a solution to whatever that problem was and that was the birth of the company, that’s a clear purpose.

Where’s the right place for a marketer to get started?

A good place to start is when companies are formed around real problems. It has to be born out of the cause of the founder. If it wasn’t a specific problem, then that founder has their own why, and the company is formed in their own cause.   Virgin is Richard Branson. It’s the same thing. So you can usually go to the personality or the cause, the why of that founder.

How do you make it stick with the organization?

The why is the sticky part because it’s the visceral part. The why talks directly to the limbic brain, which is the part of the brain that makes decisions. It’s the emotion and feeling part of the brain. So when we start with why, that’s what makes it sticky. You can start with what and people might enjoy it for a moment. You describe the product, what it does, and it may or may not appeal to some people. But it’s the why that makes it interesting and makes people viscerally connected to it.

How do you make a strong why work in a B2B professional services organization?

The good news is that even consultants, accountants, or engineers are still human beings. So as much as they like to believe that all of their behavior is rational, it’s not. Otherwise they would only buy the cheapest product and they would never be loyal to anything. When the why is clearly communicated, it viscerally appeals to people, and they feel connected. And being a part of an organization with a clear sense of why becomes part of our self-identity. We wear the tee-shirt that they gave us at the company picnic. We don’t wear it to bed or paint the house. We wear it with pride and don’t want it to get dirty because it’s part of our self-identity.

October 15, 2014by Paul Dunay
Behavioral Targeting, Business Intelligence, Conversion Optimization, Customer Experience, Enterprise 2.0, Interactive Marketing, Online Testing, Strategy

6 Tips for Turning Big Data into Great Customer Experiences

Highway Signpost "Big Data"

The phenomenon of big data certainly comes with big promise. After all, having terabytes of data on customer history and behavior is certainly better than trying to extrapolate from just a few data points.

For sure, online marketers who make sense of big data are going to be better able to build customer experiences around hard data and evidence rather than on hunches and guesswork. Instead of working on intuition, or crude analytics, you could use definitive evidence to design product pages that lure your best customers directly toward the shopping cart. You’d know exactly when to introduce your promotions and offers, and you’d know which promotion would work best with each particular customer. You could optimize your online interface, so that everything from search to registration to “Place Order” was virtually friction-free.

Getting to that point, however, requires first harnessing the data. It is no small feat to integrate huge amounts of data from a variety of sources. It is even trickier to figure out exactly how to translate that information into more visits and fuller shopping carts—in real time, customer by customer.

The good news is, there are technologies and tools that make it much easier to find the gold hidden in the data—and use it to refine your online marketing with laser precision. But there’s a mind-set at work here, too—a way of thinking about data that may involve some shifts in culture, depending on where your organization is right now.

Having worked with a number of online marketers who needed to tame big data, here are six steps to help you get there:

1) Think continuous evolution and iteration, not instantaneous.

Yes, big data can fundamentally shift the way you do business. But don’t try to change everything at once. It’s far more productive to adopt a “test and learn” philosophy. Two dozen incremental improvements in site design or wording or personalization can get you much further than trying to “innovate” in one fell swoop. We see this every day.

The most successful marketers are optimizing and refining all the time. They steadily move ahead, with a thousand baby steps, finding something to improve almost every day.

Note: This tactic may call for some adjustments to Web development processes. The most agile marketers can typically go “live” with tweaks, adjustments or tests in a matter of hours. (Slow marketers wait for the next release. Don’t do that.)

2) Align big data goals with your individual business goals.

Create separate initiatives or projects for each of your business goals, such as acquiring new customers, boosting conversion rates, improving customer loyalty or increasing lifetime customer value. This approach makes it much easier to determine what type of data to reel in, and exactly how to use it. Focus a team or a project on one objective at a time.

3) Sell the concept internally.

In some organizations, moving toward data-driven, evidence-based marketing may call for some extra communication to get everyone on board:

  • Encourage knowledge sharing, continual learning. Let everyone know what you found out.
  • Simplify everything. Present data and outcomes in easy-to-understand terms that managers can use to make decisions. Use pictures and graphs.
  • Communicate plans and achievements across the organization. Don’t hide results.

 4) Create one team for big data.

You will need to include marketing strategists, analytics gurus and Web developers. And especially creatives, who may sometimes feel threatened or hampered by having to work with hard evidence.

Then integrate with those responsible for e-commerce and site optimization. No silos allowed.

Find a committed, obsessed, dedicated executive to drive the process and act as a focus for future customer experience innovations.

5) Your own data is best. By far.

The real-time data that your website and CRM systems are gathering is far more valuable than anything you can obtain from an outside vendor. Because it’s about your own living, breathing customers, it is data that your competitors don’t have. Advantage, you.

Examples of the typical aggregate data you can capitalize on in a big data strategy:

  • Acquisition source
  • Geography
  • Interaction behavior
  • Transaction behavior
  • Recency of visits
  • Frequency of visits
  • Social attributes
  • Form inputs
  • Conversion rates
  • Conversion values by product or category interests
  • Channel/device

6) Aim for real-time optimization, customer by customer.

For most marketers, the goal should be to make in-session decisions as to what customers should see, what offers you recommend and what you say to them.

Craft a custom experience for each visitor, and they’ll buy more.

Do all of this, and they’ll be back.

This article was originally published on iMedia Connection

May 29, 2013by Paul Dunay
Commerce, Conversion Optimization, Customer Experience, eCommerce, Leadership, Online Testing, Optimization, Personalization, Testing

Why CMO’s Need To Be More Involved in Ecommerce

eCommerce

If the $42.3 billion spent online this past holiday season has taught retailers anything, it’s that capturing customers—and their dollars—online is crucial.

But online is a big place. And mobile, which can seem like an entirely different universe, looms ever larger. So where to even start if you haven’t yet…started? And who should lead the charge?

The modern day merchant must have an intimate understanding of the importance of online and mobile commerce, access to a vast array of customer data, and a strategy for transforming this analytical data into winning online experiences.

In all cases, the goal is to attract and retain both new and returning customers. Whether online novices or experts, business leaders crave insight on how to accomplish this. The question is: who inside the company can embody these traits and help the CEO rule the roost? That responsibility should belong to the chief marketing officer.

A CMO should be somebody who uniquely understands marketing, merchandising, data, analytics and web design, and who can also maintain a creative, innovative organizational structure. IT tends to lean too heavily toward data for data’s sake, while Sales too often relies on revenue and relationships.

Placing the CMO in charge allows for the best of both worlds. Armed with the science of data analysis and the art of consumer engagement, the CMO is well positioned to emulate merchant princes of old and join the ranks of retail royalty. A good CMO can nurture a culture of testing, measuring and learning instead of depending on guesswork and subjectivity, as well as reach out to those on the front lines of customer interactions to figure out what those customers want. The ambitious CMO knows that their company site must be more engaging than the competitions’, as well as a place that customers trust, valuing the available products, services and information on offer. It also needs to be a reliable gateway to actions that grow sales beyond the initial purchase, such as cross-selling and upselling.

What’s the best way to make all this happen? One word: data.

Data is crucial to online retail. It comes in many different forms, the main type being the individual behaviors of current site visitors: which search term or webpage brought them over, what time of day and day of the week they’re most likely to stop by, what recent purchases they’ve already made onsite, what pages they visit and what product categories most interest them. All this pertinent info helps define what the “best content” is for each specific viewer. Other types include customer relationship management (CRM) data and social media data.

The aspiring CMO must then use this accumulated data to gain perspective on what customers want; analytical optimization and personalization tools will aid in this quest. Segmentation sifts through the data to find discrete groups of people with similar traits and/or interests, who can then be targeted and tested with relevant content based on site activity. Product recommendations and other offers are then provided based on what the various groups are most likely to purchase.

Product information tools give customers a deeper understanding of the product at hand—a 360-degree view of an article of clothing, or a close-up of various types of textured materials. User-generated content, like ratings, reviews or social media feedback, also aids and influences purchasing decisions. The savvy CMO uses all these methods to strike the delicate balance between intuition and analysis.

May 15, 2013by Paul Dunay

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Welcome to my blog, my name is Paul Dunay and I lead Red Hat's Financial Services Marketing team Globally, I am also a Certified Professional Coach, Author and Award-Winning B2B Marketing Expert. Any views expressed are my own.

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