Marketing Darwinism - by Paul Dunay
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Marketing Darwinism - by Paul Dunay
Applications, Business Intelligence, Data Analytics, Marketing

Interview with Dharmesh Godha of Advaiya

Marketing Darwinism met up with Dharmesh Godha of Advaiya to see how the company is progressing and what their next “big bet” is on.

Marketing Darwinism:   Dharmesh, good to chat again.  I know you’ve done a lot with the company over the past several years; give us a refresher on who Advaiya is and what the company stands for.

Dharmesh:  Thanks Paul.  To start with, it’s worth mentioning our tagline here- “Making Technology Work.” While that might sound cliché, we find that the abundance of technology choices and methodologies of implementation actually can conspire to make it difficult for companies to make the optimal bets.  Further, technology by itself doesn’t solve problems, so we work hard to make customers’ technology choices work in their context and in a manner that most befits them. 

We started the company for this reason.  No doubt, along the way, we took some turns, hit a few dead-ends but also found a few amazing areas to focus on.  All companies evolve.  Interestingly, we have come full-circle to a real competency- helping companies digitize in their own contexts and without the orthodoxies often imposed by technology-forward perspectives that don’t recognize that there are multiple paths to success.

So that’s a long way to say that we stand for driving our customers’ growth and success in their own image not in some “perfect state.” We have found that that state doesn’t exist!

Marketing Darwinism: This sounds like “Digital Transformation”.  Is that what you focus on?

Dharmesh: Yes and no.  DT is an amazing phrase but it has come to mean too many things at once.  We look at things in a forward-yet-practical way- start with a particular need a company has- a baby step- and get it right- technically, culturally, and contextually.  Then help the company use success in that one area or workload to change other area, processes, and workloads.  So yes it is transforming companies with digital technologies but it’s not about a “DT” button you can press and voila! -things work. 

Marketing Darwinism: You work with some amazingly successful, big names.  Does that create pressure on the company?

Dharmesh: We work with the largest of the large tech companies and with startups.  We are drawn to challenges and patterns where we can honestly add value.  We also work with a variety of organizations in what are called “traditional” industries.  That’s where most of the work done is and where most people in the country are employed.  We learn amazing things from manufacturing and services companies daily and can then apply these learnings to other companies looking to evolve and hone their offerings.  Yes, the “ways” of large companies can create pressure but we thrive in the cauldron and love every minute of it.

Marketing Darwinism: What are your big bets for 2019 and 2020? What are you most excited about?

Dharmesh: We are incredibly excited about helping companies find new life with the proper use of the amazing Business Applications and Analytics packages  available in the market today.   It was unheard of, even a few years ago, to be able to run complex infrastructure with complex tasks in an agile manner without pitting IT and Business against each other.  We thrive on building internal bridges in our customers and watching them do amazing things.  So, I can say that our big bet for the next 18 month is Business Apps.and Analytics  We also have invested heavily in our “Managed Services” business which is growing rapidly and allowing us to really feel “as one” with many of our customers.

Marketing Darwinism:   We’d be remiss if we didn’t talk about Marketing.  Two prongs here- what are you doing to help your customers market and how are you using marketing to gain traction?

Dharmesh: Great questions.  We continue to do a lot of work in what we call TMAAS- Technical Marketing-As-A-Service.  We believe that Enterprise technology has to be talked about in a narrative manner that connects value to all aspects of purchase, implementation and tweaking.  We also believe that Brand building and Sales Enablement are connected and we offer that perspective to our customers.

In terms of our own efforts, we gain a lot from events, 1: few executive conclaves, and work of mouth marketing.  Though we are small, we spend considerably in those areas and have been lucky to realize success there.  Increasingly, we co-market with our customers and this also has yielded fruit.

Marketing Darwinism:   Any parting thoughts?

Dharmesh: Thanks so much Paul. We want believe that global delivery models aligned to real value conversations are the keys to success.  We hope to double our size in the next 18 months and are very thankful to our customers, partners, and well-wishers for all their support.

March 29, 2019by Paul Dunay
Applications, Big Data, Business Intelligence, Cloud, Digital Transformation, Innovation, Strategy

Interview with Joe Martin CEO of CloudFit Software and Kyle Wagner CFO of CloudFit Software

Marketing Darwinism: I’m very interested in CloudFit’s strategy. Can you tell our readers a bit more about it?

JM: Thanks Paul for your affirmation. CloudFit is in the “Managed Digital Transformation” space. What this means specifically is that Digital Transformation is very much a function of embracing the cloud and that migrating your applications and workloads to the cloud is not a “one and done” exercise. Cloud Migration as a concept has to be understand as both a set of generalizable principles but also as a very individual factor as each business has its own priorities and constraints. Our software and services accelerate this journey and allow customers to “migrate, monitor, and measure” their cloud applications.

Marketing Darwinism: Fascinating. So is this mostly about financial savings (since you mentioned acceleration?)

KW: It’s about operational excellence of which a piece is financial savings, a piece is accountability, and a piece is working in the background so that the organization can grow its core business and innovate versus getting all its energies caught up in the transformation itself. As a CFO I think about my peers and their needs but I also think about the roles of the CIO and CEO as they are charged with technology-enabled futures.

Marketing Darwinism: You two boast 4 decades of collective Microsoft experience and your three other Principals add another 4 decades. Wow! Tell me about that.

JM and KW: Microsoft has played a huge role in our collective learning and imagination. We are humbled to have been part of Microsoft’s journey to the forefront of Enterprise Computing, Cloud Services, and related areas. We are proud of the large scale we helped enable. Microsoft and its amazing people continue to be core partners and vectors for our success. Clearly, the customers are our main focus and at times they run hybrid or non-Microsoft environments. As a software and services company we have to both respect the customers’ needs but also remember where we came from!

Marketing Darwinism: You are a young company but have already done a major acquisition. That’s very ambitious. Am I reading this correctly?

JM: Paul thanks for this question. Yes, our acquisition of Composable Systems cemented both our team but also our ongoing and deep relationships with core customers. We are indeed young but are very hungry to add value and wanted to create a force multiplier early. We welcomed not only the revenue and customer streams but also the team and expertise.

KW: I’d like to add to this too. We all have had big company backgrounds as you know; I’ve also had the pleasure to help build one of the fastest growing technology companies in the Northwest and understand the importance of building the right team and equipping them with the right tools from the get-go. We didn’t start CloudFit to be a lifestyle business but instead of grow quickly as a function of our value-add.

Marketing Darwinism: What do your customers say about you?

JM: Paul, thanks for bringing it back to them. We get very favorable reviews from our customers, many of whom consider us as key partners in their Digital Transformation. In the earlier days, we had a few hiccups and we learned from these. We went in with confident humility and have improved our customer story, interaction, and value-delivery each and every day. We hope to continue to improve. But overall we feel very good about this area of our business.

Marketing Darwinism: What’s the “Garden-variety” case for someone to contact CloudFit?

KW and JM: We believe that any organization that knows they want to transform but needs to understand what the journey is and how to do it in a methodical and accountable way while accelerating time to value is a perfect conversation for us. We want to partner with all organizations that are entering this journey and need to connect their Business needs with this IT process. We believe that Managed Digital Transformation is a very large space and is where the puck is going.

September 26, 2018by Paul Dunay
Applications, Big Data, Customer Experience, Data, Data Analytics, Data Mining, Innovation

Getting Towards a Mature Data Infrastructure

Data is the watchword in organizations large and small. In fact, how an organization frames data is the single most important determination of future success or failure. As some put it, Data is the new “oil,” the commodity of most value in the modern age.

Many business leaders understand this intuitively. As business-users in the organization are forced to make larger number of critical decisions with larger “payloads” on a more frequent basis, the idea that these decisions must be data-driven is at the fore. Gut instinct is fine but gut instinct inflected with timely, contextual, and comprehensive knowledge of relevant data is a winning strategy.

While the idea of being “data-driven” is fundamental and powerful, most organizations fall short. Intentions are necessary but not sufficient. For most organizations, the technology and operational infrastructure that defines their “data” is predicated on notions that made sense in an earlier era in which there were simply less sources of data and less change to existing sources. The “size” of the data question makes for a complexity that is not pre-defined and therefore the solution to the data problem has to be flexible and adaptive. Data infrastructure maturity is necessary in today’s business environment and has 4 basic qualities: Governance, Security, Agility, and Automation.

Without these 4 qualifiers, 2 core facets of the solution are absent- democratizing access to data and liberating IT from the backlog and fatigue associated with constantly-changing business needs. Business-users work in the “NOW” timeframe while IT has its own rhythms. In order to truly be data-driven in a way that scales, organizations must empower business-users while simultaneously freeing IT to innovate. While there are cultural hurdles to this state, the biggest blockers are infrastructural.

Until very recently, good enough was, alas, good enough. The internecine conflict between Business and IT was considered just a fact of life, a “cost of doing business.” With automation technology, business users’ data needs can be managed on the fly and without the need for reactive hand-coding, conferring agility to the business teams and handing time back to the IT teams to innovate and more resources from lower value tasks to higher value tasks. This structural win-win is available today and harmonizes the needs of Business and IT.

If data is the new oil then an infrastructure to capitalize on it is necessary- an infrastructure that is mature and “Hub”-like. While all organizations are different, they are similar in their data needs and the data platforms that win will accommodate diversity and change inherently.

Guest post by:
Romi Mahajan
Chief Commercial Officer, TimeXtender

March 6, 2017by Paul Dunay
Advertising, Applications, Commerce, Conversational Marketing, eCommerce, Interactive Marketing, Mobile, Social Customer Service

Chatbots: The future of conversational commerce and marketing

It’s no secret that the rise of computer apps is transforming both the marketing and customer experience. One of the most intriguing developments in app development is in the area of chatbots that not only can send communications to customers but also respond “intelligently” to conversations.

Recently, I had the pleasure of speaking with Christian Brucculeri, the CEO at mobile messaging company Snaps, a developer of chatbots and other marketing technology products for companies. Brucculeri explained some of the background of how chatbots came to be, as well as their usefulness as a marketing tool.

“Typically chatbots represent a conversational interface between a consumer and a machine,” Brucculeri said. “They’re applications that have linguistic structure. It might allow you to ask a question and try to find an answer. They enable one-to-one communication between brands and consumers at scale, and they leverage technology in order to do that.”

Certainly chatbots have close technological relatives we’re already used to, like Apple’s Siri, Google Home and Amazon Alexa. You might call automated phone systems—the kind people love to hate—as a chatbot’s second cousin. But so far these are far from able to use artificial intelligence to understand language, and respond appropriately.

And while the technology can be used for entertainment purposes—think Snapchat or Facebook Messenger, for example—its greatest impact is potentially coming in marketing, Brucculeri told me.

Creating conversations, not messaging

“We work with brands across several industry verticals, including tourism, hospitality, entertainment, media, CPG, retail, quick-serve restaurants and more,” he said. “For example one apparel brand delivers a 30-day workout experience using basic Facebook Messenger. For some hospitality brands, they’re trying to manage their ongoing relationship with consumers and help them manage their rewards accounts.”

In many ways, this sounds similar to most apps we’re used to. So, what makes chatbots a different kind of app?

“Where chatbots get really interesting is in personalizing media and responses,” Brucculeri suggested. “Here, you can really do one-to-one marketing at scale.” Brucculeri said Snaps has developed such chatbots for sports teams, where a fan might receive notices of games, results and highlight videos. In the stadium, a chatbot might help a fan find restrooms and snack counters, based on physical location.

Brucculeri said Snaps is developing chatbots that function on a variety of existing platforms. Facebook Messenger, which launched a chatbot in 2016, may be most appropriate in accessing consumers, he said, but there’s also Kik, WeChat, Slack and many others, each of which may be experience-specific.

Chatbots also can be connected to customer relationship management platforms, such as Salesforce, to deliver notifications at the right time to the right person, Brucculeri said.

“We do CRM integration and user matching to log in and do account management,” he said. The result might enable companies to find new customers, engage with existing customers in a fun way, getting customers to take some form of action, or managing the relationship in other ways.

Improving the customer experience

Customer service, driven by artificial intelligence, also can be aided powerfully by such matching, Brucculeri said. Instead of hitting a bunch of digits to get routed to the right person, the artificial intelligence capabilities of chatbots—the two-way ability to listen and respond appropriately—can improve this experience immensely.

“A chatbot can do this in ways that are more convenient, simple, fast, and better for the customer and probably less expensive for the customer-service function,” he said.

The future of chatbots is an intriguing one, as technology evolves and as the bots themselves get “smarter” and more humanlike in their analyses and responses.

“We’re long on the idea that conversational interfaces will continue to evolve. Whether consumers are texting with or talking to them, automated systems like bots are almost certainly going to have a role in our future lives” Brucculeri said. “We see conversational media becoming the next wave and being potentially bigger than application media itself. I think in three years, people might be talking to bots more than they’re typing in bots.

“But the main idea remains the same,” he said. “Might I one day launch a chatbot on Alexa, Amazon’s voice control system? How about getting some type of visual element to go along with that, such as HoloLens, Microsoft’s holographic headset? Can these things become really rich experiences, far better than just staring at our phones and typing?

“I think some of the form factors are going to change, but I think the fundamental elements are going to be the same, which is conversational commerce. People increasingly will be talking to their computers, and they’re going to get a lot done by doing it.”

December 14, 2016by Paul Dunay
Advertising, Applications, Business Intelligence, Content Marketing, Conversion, Conversion Optimization, Data Mining, Innovation, Interactive Marketing, Lead Generation, Lead Nurturing, Marketing, Online Advertising, Pay Per Click, ROI, Strategy

The Missing Link Between Media and Marketing

link

It’s apparent that there’s a missing vital component in the quest to modernize marketing. Today’s marketing organizations are aggressively modernizing, automating and adding more digitally centered marketing tactics as they focus on their mandate to discover prospects and create new customers. To meet the challenge, CMOs have turbocharged Marketing Ops teams and are building their “Marketing Clouds,” leveraging marketing automation to nurture prospects, adding CRM to manage pipeline and customer relationships, while spending millions on branded websites and social pages, coupled with billions on media to promote their offerings.  We are not connecting that media investment, the prospects generated, nor their data, with our marketing systems and processes. Integration between the two is a critical missing link.

The prospect marketing effort, which is predominantly driven by third-party media investments in content syndication, search and advertising, is still very fragmented and, worse, seldom measured or optimized. Disconnected and unable to adequately track and optimize media spend, marketing organizations struggle with lead velocity, mixed data quality and a lack of ability to attribute results back to the source or measure ROI. This is a tough hit for marketing executives as they realize how much money they’re actually spending on media to create prospects—$40 billion+ on digital advertising alone in 2013, according to the IAB.

Here are 3 areas of focus for CMOs and marketing pros who are out to modernize their approach in order to drive a higher return on media and technology investment should consider:

  • Integrate third-party media investment and data with marketing systems and processes.  Today, engaging with the media community (publishers, affiliates and other sources) combined with the internal marketing processes necessary to get data into systems, requires numerous manual processes—hours of data scrubbing and lots of spreadsheets passed between media providers and marketing teams.  A more efficient approach is to automate by integrating the prospect and lead data garnered from media campaigns and partners directly with your marketing automation system and/or your CRM. Ensuring the data is delivered directly into your current systems eliminates numerous manual, resource-intensive tasks.
  • Validate prospect information in order to inject quality, actionable data, and thereby increase lead velocity and lower media costs.  Once you decide to directly inject prospect data from your third party media sources, it becomes essential that the media-driven data you’ve paid for is validated, cleansed and formatted for your marketing systems (Eloqua, Marketo, Salesforce, Pardot, etc.). This not only ensures that you get what you paid for from your media investment, it also allows you to more rapidly get down to the business of nurturing and developing customers.
  • “Close the Loop” to garner actionable insights that can be applied to optimize media campaigns and marketing programs. Today, we have the ability to gather data from every campaign we run but most of it we can’t and don’t act on.  Whether you leverage banners, email, content syndication, telemarketing, search or a combination and whether you utilize cost per acquisition, lead, sale, click or incoming call, you need to analyze marketing performance data by media channel, media source, creative, content, offers and campaigns all in one place.  Then you can more easily acquire insights that can be applied to optimize campaigns by focusing on higher performing tactics, redistributing media spend across the most successful media sources, and applying the resulting audience data to fine tune targeting parameters.

Taking action on the missing link is a necessity. If you are investing in media to generate prospects and acquire customers, be certain to connect those media programs with the rest of your marketing systems and process.

This post was written in collaboration with Integrate – learn more about Integrate at http://www.integrate.com

April 15, 2014by Paul Dunay
Advertising, Applications, Content Marketing, Crowdsourcing, Visual Recognition

Using Visual Recognition to Tap into the Consumer Mindset

Consumers Mindset

Marketers have been trying to capture that magic moment when a potential consumer is actually looking to interact with your brand. Back in the day, we had to rely on “inferred interests” gathered from demographics, psychographics and other data to estimate what segments might have higher than average propensity to have that interest and then broadcast various messages at them, hoping we just might hit them at the right place and at the right time.

But in the past five years things have dramatically changed. With nearly ubiquitous smartphone coverage, we finally have a way to access consumers’ mindsets at almost any time in a meaningful way. What’s more, not only can we tap into each magic moment but also consumers actually want to participate in it.

Current smartphone technology allows for nearly infinitely granular targeting based on behavior, third party data, contextual data like location, and universal sign-in profiles. All of these allow increasingly relevant interactions to follow a consumer across apps and the mobile web, all while waiting for the right moment. While interesting, however, this is not what I am talking about. This is just a refinement of existing approaches to targeting. It’s nothing new.

What I’m talking about is giving consumers control, a tool that allows them to quickly and easily learn something about a specific product or service. I’m talking using our smartphones to create intuitive gateways that bridge the real world with related digital experiences. Whether you call it Web 3.0 or the “internet of things,” this is what mobile is all about and I believe visual recognition technology will play a key role in making it happen.

Google Glasses are already showing us ways in which visual recognition and augmented reality can be combined to provide a dizzying array of overlays and information. This beta product offers an exciting peek into one vision of what might be in store for marketers and consumers alike.

Other companies like smartsy are showing a more targeted approach to visual recognition, allowing consumers to use devices they already have and apps they already use to interact with the world in specific ways. They allow consumers to snap a picture of whatever they are interested in, be it a can of Coke or a Louis Vuitton bag, with any visual recognition app on their mobile device and interact with the brand in real-time.

Both approaches have their pros and cons but they share the common goal of creating customer engagement. Ideally if you want to tap into what a consumer is doing with your brand and well as when and where they interact with it, you will want to allow them to use visual recognition in different ways. Who’s to say which will work best? Its still early days of visual recognition but I’d love to hear your thoughts on how you think it will play a role in consumers’ lives and marketers’ strategies.

April 4, 2013by Paul Dunay
Advertising, Applications, Branding, Content Marketing, Customer Experience, Facebook, Inbound Marketing, Listening, Personalization, Social Media

Don’t Blame Facebook: 10 Reasons Low Conversion Rates Are YOUR Fault

So, you’re one of the seemingly millions of brands out there using Facebook to lure people over to your website. Chances are you’ve viewed recent reports about Facebook’s surprisingly low activity rates (“Only 1% of people who like a Facebook page ever go back to that page”) as vindication of what you’ve always suspected: marketing on Facebook just doesn’t work.

You’re not alone. The following are the 10 top reasons brands fail to tap into the real potential of Facebook. (Hint: zero of them are Facebook’s fault.)

1.     Failure to make a great first impression

Most fans won’t ever come back to a brand’s page unless they feel they have good reason to. This is not totally different from how they interact with their friends’ pages when you think about it. Unless the new friend has great content to go back to, there’s not much of a reason to go directly to their page very often, if at all.

2.     Poor text and visuals

A successful Facebook page must have concise, engaging text that’s relevant to both the brand and the fans’ interests. Overly long, humdrum copy will fail to capture fans’ attention. Crisp, eye-catching, high-resolution visuals (photos, videos, illustrations) that clearly speak to those things visitors like about the brand in the first place will draw them in for more.

3.     Stagnant page content

If fans stop by more than once only to find the same old Facebook page, they might assume the page is outdated — or worse, abandoned. It’s important for marketers to give fans new ways to connect and advance their relationship with the brand or product being promoted. Keep to a consistent schedule with fresh content and ever-improving offers, and be sure to test what works with your audience.

4.     Inconsistent or lazy branding

If there’s no stylistic connection between a company’s Facebook page and its main website, visitors may not trust that the page is legit. Brands often spend a disproportionate amount of time, money and effort on website branding efforts, in comparison to the relative pittance reserved for complementary Facebook efforts. Keep branding consistent across all channels, so that visitors know exactly where they’re going and whom they’re dealing with.

5.     Confusing calls to action

Once fans arrive at a brand’s Facebook page, they should have a clear idea of what to do and what’s available to them. Offers and calls-to-action should be prominently displayed, and any associated instructions should be easy to follow. Be aware, however, that Facebook has guidelines concerning calls-to-actions, offers and anything else resembling blatant advertising on company pages, so it’s important to make sure you’re current on usage guidelines.

6.     Too many clicks

People are impatient—and want immediate gratification—especially on Facebook. If you have to use forms to give visitors access to the content they want, they’re likely to click away. Make sure the desired destination can be reached in the fewest amount of clicks possible. Also, if you have to use a form to capture data, keep it short and simple.

7.     Mysterious visitors

All fans are not alike – so why treat them all the same? With the right tools, marketers can compile profiles using Facebook data authorized by the user (age, gender, location, name, relationship status, etc.) as well as previous site behaviors, to get a better sense of the type of people they’re reaching on Facebook. Those profiles can then be used to present offers, content and/or experiences that are the most effective in attracting fans, “Likes”, website traffic or any other relevant conversion metrics.

8.     Preconceived notions

As excited as marketers may get about shiny new objects—especially social media objects—they‘re often reluctant to spend the time and money to truly develop new efforts for them. Why not step out of your comfort zone and try to develop specific content based on customer segments? An even crazier idea—consider developing Facebook-specific campaigns rather than repurposing ones created with a different platform in mind.

9.     Ineffective plugin use

If Facebook plugins aren’t integrated into the main company website, a great deal of potential traffic—and revenue—is being lost. Plugin tools turn consumers into brand advocates, making it easy to share site information with Facebook friends. Let visitors like or share website pages back to their Facebook profile with one click. Better yet, provide personalized suggestions to your website visitors, based on what other people are sharing as well as their own click behavior.

10.   Sticking to stand-alone metrics

Getting just one side of the story isn’t enough. Marketing programs need to be set up so that Facebook stats and user profiles are fully integrated with all other online and offline ecommerce channels’ information to create rich, detailed and fully comprehensive user profiles. Profile reports should be updated on a regular basis, so the most recent user information is always available.

With the proper attention to detail and willingness to dedicate the same energy to Facebook efforts as they do to other initiatives, online marketers will no doubt find that their 1% conversion rate is something they can control—and that it’s not Facebook’s fault their customers aren’t more engaged.

January 23, 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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