Marketing Darwinism - by Paul Dunay
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Home
Bio
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Photos
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Testimonials
  • Home
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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
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
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
Artificial Intelligence, Big Data, Business Intelligence, Cloud, Data, Data Analytics, Data Mining, Innovation, Strategy

Interview with Clement Ifrim, CEO and Co-Founder, Quantarium

Marketing Darwinism: Clement, tell us about Quantarium.

Clement: The company is inspired by insights from Quantum Physics and the potential inherent in applying them to Machine Learning approaches within an A.I. framework. We have organically gathered the analytical methods of fields as far reaching as Quantitative Genetics to build a leading Artificial Intelligence company that enables competitive advantage in vertical industries via advanced predictive and propensity models along with smart decision-engines. To be sure, there remains a lot for Quantarium to accomplish and indeed we have the ambition to match, though we are quite proud of our synthesis to date and the benefits our customers are enjoying each day.

Marketing Darwinism: Can you tell us which verticals you focus on mostly?

Clement: The beauty and peril of A.I. is that it can seemingly apply to everything and that can be intoxicating, thus both market and organizational focus to execute become paramount. Our first salvo is residential Real Estate, a $20 Trillion asset class that represents in a meaningful personal perspective, the most important of all sectors because it constitutes the largest purchase a family ever makes. Quantarium looks at Real Estate from a perspective not only of Data (and there is a lot of Data!) but also of modeling scenarios of what “could” be. For both financial institutions that “own” and service mortgages and for the individuals who own homes, understanding the “deep” economics is very important. From valuations to other analytical models, Quantarium intends to revolutionize the approach and economics.

Marketing Darwinism: Clement, you have a background in large companies like Microsoft, how is it being a CEO of a start-up.

Clement: Thanks for the question. There is nothing headier than building something with world-class people who humble me every day with their vigor and intelligence. At Microsoft, I learned how to manage A+ teams and to think about products and customers at scale. Applying that to the need for speed in the startup world is my biggest challenge and joy.

Marketing Darwinism: Clement, I must ask you this. A.I. has become a “buzz phrase” …how do you distinguish yourself.

Clement: You are certainly correct about that. The technology business is very much about fashion and phraseology. Unfortunately, it is also often about false claims as well. Quantarium’s founders team, with Ph.D’s and accomplished experts in the field, undertook the approach that A.I. is best when it enhances the ability for people to both arrive at a valuable truth in a quicker and more judicious fashion, and then start to predict future truths, or certainties, given the current business exigencies. Quantarium established itself as an A.I. company from the get-go, it’s in our DNA; as a matter of fact, the first platform Quantarium built, QVM/Quantarium Valuation Model relied on M.L./A.I. technologies such as evolutionary programming when “Artificial Intelligence” was not such a buzz phrase yet. Our team consists not only of award winning Mathematicians and Engineers but also of some of the best “technology translators” in the industry. Algorithms and A.I. are indeed assets, however when you add them to the human agency and agility, you get real applications of real A.I.

Marketing Darwinism: What’s in store for Quantarium in the next phase of your growth?

Clement: Good question. While structured as a tridimensional growth approach, with a clear focus on increasing market share, innovation / differentiated I.P. and product expansion, in many ways we’ve been silent for too long. We enjoy genuine, solid relationships with our customers and partners but haven’t “splashed” in the market yet. That has been by design but the time has now come to shout from the rooftops. We’re showing up at conferences like the O’Reilly AI Summit and Strata. While we remain humble and true to ourselves, we are bold at the same time so watch out for us.


About Clement

Clement is Co-Founder and CEO of Quantarium, an Artificial Intelligence company enabling vertical industries via advanced Predictive and Analytic models, and smart decision-ing engines. As the name of the company suggests, inspired by Quantum Physics and fueled by the power and potential of Machine Learning such as synthesizing and leveraging approaches from Quantitative Genetics, towards resolving significant predictive challenges, Clement is an accomplished international professional for leveraging Data Science and A.I. as well as a proven business leader.

With degrees in Computer Science, Clement spent 14 years building large-scale and Enterprise-level software products and services in areas traversing Content Management and Enterprise Search. Responsible for strategy and product development, Clement directed enterprise teams for Microsoft such as SharePoint, and MS Enterprise Search, while building a proven track-record for recruiting and developing teams with exceptional culture. Prior to Microsoft, Clement started and ran several software companies.

Originally hailing from Romania, Clement lives in the Seattle-area with his wife and children. He is actively involved in a variety of philanthropies and applies philosophy to technology as he builds lasting companies.

August 14, 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
Agile Marketing, Business Intelligence, Content Marketing, Conversational Marketing, Data Mining, Enterprise 2.0, Inbound Marketing, Innovation, Interactive Marketing, Marketing, Real Time Marketing, ROI, Strategy

The Return of the “Marketing Mix”

Fashions change. 

This cliché doesn’t apply just to hemlines and jeans, but to business as well.  Anyone who claims that business is all about logic and data needs to get a reality-check; Marketers are perhaps the worst offenders here, much to their detriment.  Of late, Marketers have suffered from a deep alienation from the real essences of their profession and we hope that 2018 will usher in a return to sanity.

This alienation – or departure from sanity in Marketing- stems from the over-indexing on Data and Measurement.  While this sounds strange, even counterintuitive and heretical, it stands the test of logic and does not require a deep knowledge of Marketing to understand.  Data and Measurement are no doubt valuable but they can also be the refuge of scoundrels.

The key in the above paragraph is the term “over-indexing.”  In other areas of life, the tendency to over-index is called zealotry.  In Marketing, the zealotry of measurement has created an untenable situation in which Marketing is asked to be as resilient as Physics or Mathematics; So too are Marketers, who feel forced to conform to the fashions of the day.  For the past decade or so, the fashion has been “Performance Marketing” or, in a wild conflation of strategy and channel, “Digital Marketing.” 

The genesis story here is a good one.  Marketing for a long time appeared to be a cocktail of guesses mixed with a dose of manipulation.  Organizations started to get frustrated with the lack of predictability and rising costs associated with Marketing and the ecosystem of agencies and media companies that had to be invoked when even considering bringing a product, service, or brand to market.  Theories of consumer reception abounded, but the overall logic of Marketing appeared to be something akin to “do it and it will work.”  Since no company could afford to shut off all Marketing, they continued in an inertial frame for decades.

Then came the Internet.  Almost overnight- or so it seemed- behavior patterns changed.  In addition, the almost infinite real estate and low cost of replication on the Internet, allowed for a completely different cost structure for Marketing. Completing the hat-trick was the fact that digitized Marketing can be “revved” quickly and tests of efficacy can be run in record time.  A heady mix indeed!

And for a while it seemed great.  Marketers could “go to market” quickly and bypass the usual middle-men.

Soon, however, the false “quants” took over and started writing how Marketing was both a “Science” and “Predictive.”  Tomes could be written about the false attribution that plagued the marketing scene with the eminent measurability of Digital Marketing.  We neglected Pater Semper Incertus Est. 

Marketers new to the profession became one-channel ponies. They only knew Digital Marketing. They also grew up under the totalitarianism of measurement.  They believed in the falsity of attribution and hewed only to the channels that provided an easy story for attribution.

Lo and behold, pundits declared the demise of “traditional” marketing.  Some said TV was dead. Others eulogized radio.  Still others print and outdoor.  Digital Marketing was ROI Marketing and ROI Marketing was King (forgive the pun!)

The zealotry created real problems for real Marketers.  First, they were subjected to Wall Street-type time-frames. What would in a sane world take a year, had to be measured in weeks or months.  Second, the need to show ROI created a channel bias in which they were forced to market in only those channels which were eminently measurable.  Third, they lost the Art which defined Marketing and chose, instead, to genuflect at the altar of a false science.  CMOs lost their jobs in 18 months because they could not prove the ROI they agreed to.  Marketing lost its way.

Fast forward to now. 

Are Marketers ready to reclaim their profession?  Are they ready to bring back that Evergreen-yet-needs-to-be-green-again concept that defined their art?  Yes, you know what we mean- The Marketing Mix. 

We predict that 2018 will be the year in which Marketers re-embrace the notion of managing a portfolio of bets, of which some are measurable and others are not.  The rush to measurement restricts the channels Marketers pick to engage with, not unlike a Chef with an infinitude of ingredients but only one ladle and one pan with which to create a gourmet meal.  

The portfolio will no doubt contain elements of Digital Marketing but will also likely concentrate on what the current and future audience really needs and could, thus, index on physical marketing, TV, Radio, Outdoor, even Print.  Who knows.  Why discount ideas and channels a priori? 

Ironically, the zealotry around measurability and ROI lands Marketers in an ironic soup- they restrict themselves from generating real ROI by thinking of it as an input and not as an outcome.

All fashions have their arc.  It’s high time we reclaim Marketing from the ROI zealots and re-engage with the world as it is and as it could be.

Guest post by:
Romi Mahajan, Blueprint Consulting
Steven Salta, Agilysys

January 3, 2018by Paul Dunay
Artificial Intelligence, Branding, Business Intelligence, Customer Experience, Customer Support, Data Mining, Reputation Management

Artificial Intelligence is changing Customer Service

No matter how much technology has changed our day to day lives, both at home and at work, what remains essential to running a successful business is customers—how you treat them, how they feel about your product or service, and whether they share those good (or bad) feelings.

In decades past, interacting with customers and helping to manage their problems and expectations was something that was left mostly to humans, which meant any good or bad things could also be subject to staffing or competing deadlines. But technology has helped with that in a unique way: by automating much of the customer journey through artificial intelligence, or AI.

Customers may not realize it, but a part of the process with many companies is already managed by AI. It’s helping with predictive needs, to name just one area. And its use will only continue to grow. This graphic explains what it’s doing and how business will continue to use AI.

Click To Enlarge

Rise of the Chat Bots: How A.I. Changed Customer Service

Via Salesforce

November 14, 2017by Paul Dunay
Agile Marketing, Behavioral Targeting, Branding, Business Intelligence, Buzz Marketing, Content Marketing, Conversion, Inbound Marketing, Interactive Marketing, Lead Generation, PR, Real Time Marketing, ROI, Thought Leadership

Enabling Sales for New Growth Opportunities

On April 6, 2016, the Department of Labor released a 1000-page document known as the Fiduciary Duty rule (DOL fiduciary) requiring financial advisors to always act in the best interest of the client, expanding the meaning of “investment advice fiduciary” originally defined under the Employee Retirement Income Security Act of 1974 to also include retirement investment advice. Asset managers have since faced a new set of intricate regulations to comply with, tight timelines to meet, and structural/operational changes to enact within their own firms.

From the very beginning, the fiduciary rule had the weight of inevitability and the social pressure of protecting investors’ morality behind it. Assets under management in America alone nears $40 trillion, most of which is managed by the US’s largest 50 banks.

While the industry foresaw change with the DOL fiduciary rule, my marketing team saw opportunity. What if we could prepare our subject matter experts to react quickly, time our content with the news cycle, and launch an advertising campaign that could help demystify the rule for our clients and potential prospects? Better yet, what if we could be the leading consulting firm on the rule and how to implement it? We immediately got to work.

Program execution

  • Web presence: Ahead of the game In advance of the April 6th announcement, we developed a classic microsite, and built it out with thought leadership, media placements, and videos, all of which were keyword-optimized. Front-and-center, we placed a jargon-free description of what the DOL Fiduciary Duty Rule really meant and how we understood its possible effects. Also quickly available to visitors was a highlighted drop-down list describing various services related to DOL Fiduciary rule and how we could help. Throughout the first added our DOL-focused publications, webcasts and videos, as well as other related content.
  • Thought leadership: A deep-dive and first-to-surface We are never surprised by a regulation. At the time of the announcement, marketing was prepared (at 6 a.m.!) to work alongside a five-member client services team to tear apart the 1,000 page ruling; we published a paper within 48 hours. We also scheduled interviews beginning at 11 a.m. that day with two thought leaders who were media-trained.
  • Media coverage: And then some In advance, and in anticipation of the announcement, two subject area experts had been previously identified and were prepped for press interviews. We arranged for interviews on the day of the DOL announcement with The Wall Street Journal, Financial Times, Reuters, Reuters TV, Bloomberg, CNBC and CNBC Closing Bell.
  • Webcast(s): Ramping up and following up In February 2016, we held a webcast to present industry perspectives and impacts, discussing four major impact areas: business models, operating models, technology and data, and compliance programs. By polling our webcast participants, we also confirmed concerns that we assumed were top-of-mind for our clients. Once the rule was announced, we held a follow-up webcast within two weeks. The April webcast reviewed the regulation, compared the proposed rule to the final, discussed industry impacts and reactions, next steps and FAQs.

Over the course of 14 months, we helped PwC grow a dedicated DOL team of nearly 200 employees serving 25 clients, 120 projects, and of course we booked business. Best of all we got the call every marketer dreams of from the project team to “please turn your marketing off we have too much demand!”

November 6, 2017by Paul Dunay
Business Intelligence, Data Analytics, Data Mining, Listening, Reputation Monitoring, Social Business Intelligence, Social Customer Service, Social Media

Social Listening: Harness Marketing Insights from Consumer Conversations

shutterstock_234298024

This week I moderated another Social Media Today webinar as part of their Best Thinker webinar series, this time on the topic of Social Listening: Harness Marketing Insights from Consumer Conversations. This webinar featured Kevin Hack (@kevinhack) head of Social Intelligence in Global Digital Marketing Advancement at The Hershey Company, Kendra Simpson (@Kfoley) Director of Communications at Kohler Company, Drew Neisser (@DrewNeisser) founder and CEO of Renegade and Will McInnes (@willmcinnes) Integrated Marketing Analyst at Union+Webster. This webinar was sponsored by Brandwatch. We discussed tips and tricks for finding and utilizing Social Listening in your organization!

Here are three key takeaways from the webinar:

  1. Customer Centric? – How can you declare that you are customer centric if you don’t do Social Listening!
  2. ROI of Social Listening – what’s the ROI of not listening to your customers – most likely it more than the cost of Social Listening
  3. Social to predict what’s next – more and more social is being used to find opportunities in product development or innovation

To get a copy of the slides or to listen to the replay, please click here. You can also scan the highlights of this webinar on Twitter by reading the Storify below.

Our next webinar is titled Storytelling Gone Wild: The Key to Creating Viral Content be sure to sign up for it or view the schedule of other upcoming webinars here.

February 10, 2016by Paul Dunay
Business Intelligence, Content Marketing, Conversational Marketing, Innovation, Listening, Reputation Management, Social Business Intelligence, Social Media

How Does Social Listening Change the Way You Do Business (and Create ROI)?

istock_stockyimages_listening

This week I moderated another Social Media Today webinar as part of their Best Thinker webinar series, this time on the topic of How Does Social Listening Change the Way You Do Business (and Create ROI)? This webinar featured Mikael Lemberg (@Lemberg) Director of Product Management at Falcon Social, Andrew Ashton (@AndrewLAshton) Digital Marketing Specialist, Pizza Hut and Greg Gerik (@ggerik) CEO at Gerik & Company. We discussed a ton of ideas on how to capture ROI or create impact using social media!

Here are three key takeaways from the webinar:

  1. The longer it takes you to collect your social media data, the less it will be worth to you
  2. Don’t just listen to social media for listening sake, listen to social media with purpose!
  3. Can’t get to ROI? Then at least be thinking strategically and always be looking for how you can use social data to show impact

To get a copy of the slides or to listen to the replay, please click here. You can also scan the highlights of this webinar on Twitter by reading the Storify below.

Our next webinar is titled The ROI of Influencer Marketing; be sure to sign up for it or view the schedule of other upcoming webinars here.

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January 20, 2016by 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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