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Tag Archives: Mark

Comedian Mark Jones Shot And Killed By The Police In Los Angeles

May 18, 2020   Humor
 Comedian Mark Jones Shot And Killed By The Police In Los Angeles

According to reports, comedian Mark Jones was shot and killed Monday night when a California Highway Patrol officer opened fire during a traffic stop on a freeway east of downtown Los Angeles.

The shooting happened at about 8:30 p.m. on the 60 Freeway near Markland Drive in Monterey Park. Lanes were closed for the shooting investigation.

The officers were providing security for a Caltrans road work crew when they conducted the traffic stop. Details about why Jones was stopped were not immediately available.

Reports are rather mixed, but according to the CHP, Jones did not comply with officers’ commands, and an officer opened.

Jones died at the scene.

Jones was a frequent visitor of several comedy clubs around LA, especially The Comedy Union, where he often hit the stage.

“They initiated an enforcement stop,” CHP Capt. Salvador Suarez told reporters at the scene. “At some point during the enforcement stop, an officer-involved shooting occurred with one individual.”

Both sides of the freeway were closed for the investigation.

This story is developing.

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‘One Day At A Time’ Animated Adds Lin-Manuel Miranda; Sets Premiere Date

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How to mark leaves of polynomial based on its position in tree

June 23, 2018   BI News and Info

I’ve been struggling with this for a few days, and so I thought I might ask this here. Part of the problem lies in the fact that I do not even know the mathematical solution, which runs the risk of this question falling out of the scope of this site. Nevertheless, I’ll proceed:

Consider this unexpanded polynomial of Symbols constructed out of heads Plus and Times only:

poly = ((a + b) (c + d (e + f)) + (g + h) i) j + k

What I’d like to do: Without expanding the polynomial, mark the leaves of the polynomial by integers based on its position in the tree. This labeling of leaves must have the property such that

  1. When Expanded, each factor in each term is given a unique label
  2. No more labels are used than necessary for the whole polynomial (number of distinct labels equals overall order of polynomial in all its variables).

For poly, a solution is

((a[1] + b[1]) (c[2] + d[2] (e[3] + f[3])) + (g[2] + h[2]) i[1]) j[0] + k[0]

The result is not unique, but observe that the expanded form satisfies both requirements 1 and 2.

a[1] c[2] j[0] + b[1] c[2] j[0] + a[1] d[2] e[3] j[0] + 
  b[1] d[2] e[3] j[0] + a[1] d[2] f[3] j[0] + b[1] d[2] f[3] j[0] + 
  g[2] i[1] j[0] + h[2] i[1] j[0] + k[0]

It is not necessary that terms with fewer factors use specific labels in any order: for example a labeling of the polynomial in which the 2nd last term of the expanded form is h[1] i[3] j[0] (missing label 2) or in which the last term is k[2] is acceptable.

Moreover I’d like a solution that is faster than just expanding the polynomial and labeling each term.


My original attempt was based on traversing the tree,

WH5eL How to mark leaves of polynomial based on its position in tree

and raising/lowering the value of the label based on whether it passes through Plus or Times. Unfortunately, none of my solutions based on this give the correct answer.

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Spike Lee Developing Comedic TV Series Inspired By ‘Young Black Mark Zuckerberg’ Tech Entrepreneur

August 12, 2017   Humor
 Spike Lee Developing Comedic TV Series Inspired By ‘Young Black Mark Zuckerberg’ Tech Entrepreneur
LEE: MATTEO PRANDONI/BFA/REX/SHUTTERSTOCK; SANDERS: JONESWORKS

Spike Lee is gearing up to shop around a new TV series with tech entrepreneur and multi-hyphenate rising star Chad Sanders, according to sources.

The series, titled “Archer,” is a dark comedy and sociological thriller capturing the life of a 20-something African-American coding genius and iconoclast living in Brooklyn who has developed a dating app that reads sexual chemistry. The central character is described as a “young, black Mark Zuckerberg-like protagonist,” and the story will travel between New York, Silicon Valley, and Berlin’s famously sexual environment.

The project is loosely based on the life of Sanders, a tech entrepreneur who formerly served as a partner and head of business development at Dev Bootcamp, an intensive coding school that was eventually sold to Kaplan for double-digit millions. Sanders spent the first four years of his career with Google. He recently founded the business development agency Archer Genius Management, which is the basis for the title of the series.

Sanders is the creator and star of the series, in addition to serving as executive producer, writer, and director. Lee is on board to direct the pilot episode and will executive produce through his 40 Acres and A Mule Filmworks production banner. Sanders and Lee, who both coincidentally graduated from Morehouse College, first met through a mutual family friend.

The series will be pitched to a wide variety of networks, and no particular platform is being eyed at this point.

For Lee, “Archer” marks the filmmaker’s latest television project, following his upcoming Netflix series “She’s Gotta Have It,” which launches this November.

Sanders is repped by WME and managed by Oronde Garrett at Headshell Management. Lee is repped by ICM.

Source: Variety

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On This Day In Comedy… In 2002 ‘Undercover Brother’ Was Released

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Expert Interview Series: Mark Hansen of Megalytic on Building Trust with Data Analytics

November 8, 2016   Big Data

Mark Hansen (@markdhansen) is the Founder and CEO of Megalytic, where he is inventing the next generation of analytics reporting tools. We recently asked Mark for his insight on how data is improving business relationships today and get his advice on best practices for using data analytics. Here’s what he had to say:

How has data collection and analytics evolved since you started your career?

Obviously, there have been huge technical advances in our ability to store and manipulate large volumes of data (i.e., Big Data). But the bigger change is that analytics has gone mainstream. It used to be a sideline activity that employed a few statisticians. Today, analytics is part of everybody’s job.

In 2011, the movie Moneyball dramatized how analytics transformed baseball, and we can all relate to how big a change that has been. But the same change is happening in all businesses, from advertising to finance, to manufacturing and everything in between.

What excites you about the potential for data to grow businesses?

Trust. Data enables trust, which is the foundation of business relationships. I’m excited by how this transforms the relationship between service businesses and their customers. For example, products like Megalytic enable marketers to easily share digital marketing performance data with their clients.

Clients can see for themselves how well campaigns are performing. This leads to more honest conversations, better decisions, better results, and more trust. When marketers start sharing their analytics data with their customers, their campaigns improve, their customers are happier, and business grows.

How does your approach to Big Data analytics differ from your competitors? What sets you apart?

We focus on a particular domain – Digital Marketing. Megalytic makes it easy for people who work in Digital Marketing to create awesome analytics reports for their clients. Because we’ve focused in that domain, we’ve been able to make Megalytic extremely intuitive for Digital Marketers to use.

Contrast us with a product like Tableau. Now, Tableau is a fabulous product. But their domain is very general – Data Visualization. It’s not targeted at a particular domain. As a result, Tableau has a very abstract user interface that is not intuitive. People need weeks of training to learn how to use it properly. Megalytic is not like that. Digital Marketers can figure it out in about 10 minutes.

What are the most common frustrations or pain points your clients are coming to you with? How do you help them?

Time. Lack of time for reporting. Marketers want to create great reports for their clients. But, it takes them too much time – cutting and pasting, massaging data, formatting, putting it all in report format. It’s very labor intensive and pulls talented people away from their main job for hours and hours every month.

Megalytic automates a great deal of the reporting process. Most marketers can create a few templates in Megalytic and use them to handle all their reporting needs in a fraction of the time it takes to build them in Excel or some other tool.

What are the most common mistakes you see businesses make in regards to how they manage, analyze and share their data?

The biggest mistake I see is vendors being afraid to share performance data openly and honestly with clients. We sometimes see agencies trying to hide poor performance numbers and highlight only the good results. Ten years ago, maybe you could get away with that, but not today.

Clients are smarter now. They will see right through efforts to manipulate data. Your best policy is to share the numbers – good and bad – openly. The bad numbers present an opportunity for joint problem solving with the client. That approach builds trust and leads to more business.

Why are analytics and reporting so important to business today? How do they help businesses connect with their customers?

I’ve mentioned trust in several places, and that’s certainly a big part of it. But, analytics and reporting also provide opportunities for the most productive conversations you will have with your customers – at least in the Digital Marketing world.

Discussing the numbers with a customer invites them to be a part of the problem-solving process. It gets them engaged, and it helps them to open up to you about the challenges they are facing. Reporting creates a regular opportunity for deeply engaging conversations. These are the types of conversations that keep your customers happy and also lead to more business.

What IT trends and innovations are you following today? Why do they interest you?

This may seem a little bit out of left field, but I’d have to say that the continued development of browser technology, and particularly the JavaScript programming language captures my interest. Because of the increasing power of JavaScript, we are starting to see Big Data being analyzed directly in the browser. This is partly what makes tools like Megalytic possible. We use a JavaScript library named D3.js to handle the visualizations. And, that’s really just the tip of the iceberg.

Soon, we’ll be caching fairly large datasets in the browser. This makes it possible to have super-fast and responsive user interfaces that enable a marketer to slice and dice data in real time, across a wide variety of sources.

Just as Megalytic is simplifying analytics, Syncsort is focused on simplifying Big Data integration to make data from diverse data sources available to Big Data analytics platforms. In, “Syncsort DMX-h: Simplifying Big Data Integration with a Modern Data Architecture,” you can learn how DMX-h can eliminate the various complexities that are plaguing the IT organization by providing access all enterprise data, including mainframe, integrates the data to achieve the fastest path from raw data to insight, and enables organizations to comply with security, governance and management protocols.

 Expert Interview Series: Mark Hansen of Megalytic on Building Trust with Data Analytics

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Q&A with Mark Hall, Original Developer of Weka

June 5, 2016   Pentaho

What is Weka?

Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualisation. It is also well-suited for developing new machine learning schemes.

Where did the name come from?

Weka is a flightless bird with an inquisitive nature. It is only found on the islands of New Zealand and the name is pronounced the same way as you would pronounce ‘Mecca’.

Why should customers use Predictive Analytics?

Traditional statistical and OLAP analysis of data is backward looking and seeks to answer questions relating to what happened historically. Predictive methods work with the same historical data but attempt to find factors that characterise or drive certain outcomes that are of interest from a business perspective. The assumption is that such factors (or “patterns”) generalise to future data and can therefore be used to make predictions. Armed with predictions, businesses can make proactive real-time decisions, for example, offering special promotions to customers who are at risk of churning, or declining credit applications to customers with a high risk of defaulting.

What are some interesting use cases of Weka?

Weka has been used for typical applications such as direct marketing, credit risk scoring and churn prediction. It has also been used in the areas of preventative healthcare, preventative maintenance of systems on ships, and to assess the likelihood of students dropping out of college courses. Other interesting applications include detecting botnet attacks and predicting which cows a dairy farmer should cull from his/her herd at the end of the milking season.

There was a recent release of Weka; can you tell us more about it?

Numerous efficiency improvements have been made including:

  • Weka’s Knowledge Flow user interface has been completely rewritten to include a brand-new engine that is fully multithreaded and supports pluggable execution environments.
  • The old JAMAbased linear algebra routines have been replaced with MTJ – providing faster pure JVM routines than JAMA and access to system-optimised versions of native libraries.
  • A package management system was added that allows the user to browse for, and selectively install, packages of interest (aka known as algorithms and community contributions. To date, there are 177 packages that can be installed via the package manager.

What’s next for Weka?

Currently, on the short to medium-term roadmap, we are looking at  increasing Weka’s support for big data frameworks such as Spark and Hadoop. For Spark in particular we have a prototype of incremental Weka learning algorithms running in Spark streaming, and will be looking to increase options for data scientists by allowing Spark MLlib algorithms to be compared with Weka algorithms out on the cluster using Weka’s evaluation framework. Another thing that we may do this year is produce thin browser-based client-server versions of some of Weka’s main user interfaces.

Where can people go to learn more?

Download weka, wiki and my blog!

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Mark Zuckerberg congratulates Google for ‘historic milestone in AI research’

March 13, 2016   Big Data

Facebook cofounder and CEO Mark Zuckerberg had some complimentary things to say about Google today. His remarks came a few hours after Google’s AlphaGo artificial intelligence (AI) program beat Lee Sedol, a highly decorated player of the board game Go, in the third consecutive game of a five-game match in Sedol’s native South Korea.

Google competes with Facebook on some fronts, and both companies are at the forefront of AI research. In fact, the Facebook Artificial Intelligence Research (FAIR) group has been training its own AI software to play Go, but clearly it’s not yet at the same level as AlphaGo. Zuck’s praise for Google could be read as a challenge to Facebook researchers to step their game up.

FAIR head Yann LeCun today also offered congratulatory words to Google.

In January, I asked Demis Hassabis — head of the Google DeepMind research group that’s behind AlphaGo — if there were any plans for AlphaGo to take on Facebook’s computer Go player. He told me that there were not. But perhaps the companies could consider holding such a match in the future, now that it’s clear a machine can top a preeminent human Go player.

Facebook is the world’s largest social network, with over 1.39 billion monthly active users. Facebook was founded by Mark Zuckerberg in February 2004, initially as an exclusive network for Harvard students. It was a huge hit: in 2 we… read more »

VB Profile Logo Mark Zuckerberg congratulates Google for ‘historic milestone in AI research’New! Track Facebook’s Landscape to stay on top of the industry in 3 minutes a day. Understand the entire ecosystem, monitor innovation, and track deal flows. Learn more.

Google’s innovative search technologies connect millions of people around the world with information every day. Founded in 1998 by Stanford Ph.D. students Larry Page and Sergey Brin, Google today is a top web property in all major glob… read more »

VB Profile Logo Mark Zuckerberg congratulates Google for ‘historic milestone in AI research’New! Track Google’s Landscape to stay on top of the industry in 3 minutes a day. Understand the entire ecosystem, monitor innovation, and track deal flows. Learn more.
Get more stories like this:  twitter Mark Zuckerberg congratulates Google for ‘historic milestone in AI research’  facebook Mark Zuckerberg congratulates Google for ‘historic milestone in AI research’

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Mark Zuckerberg’s personal challenge for 2016 is building an AI for his home

January 4, 2016   Big Data

He’s learned Mandarin, read two books every month, and accomplished many of his resolutions from previous years. So what’s the next challenge for Mark Zuckerberg?

In a post on the social network, Facebook’s chief executive wrote that it’s all about “invention” and he’s going to take it to heart by building an artificial intelligence system for his home that would function akin to “Jarvis”, the automated servant of Tony Stark in the Iron Man series.

Zuckerberg won’t be spending countless hours slaving away at building a whole new platform. He’s going about it using the most efficient way possible: leveraging existing technology. From there, he said he’ll “start teaching it to understand my voice to control everything in our home — music, lights, temperature, and so on.”

When fully built and implemented, he hopes that the AI can be programmed to recognize his friends faces at the door and automatically let them in, or notify either him or his wife about anything going on in his daughter’s room.

In the replies of his post, Zuckerberg did remark that he’s contemplating setting up a development area on Amazon Web Services or using Facebook’s infrastructure. Obviously he’s leaning towards the latter as “the Facebook environment gets me access to all of the great stuff the Facebook AI research team has worked on.” Oh, and it’ll likely incorporate some tech from Oculus.

He has been using the Amazon Echo in his home to control music, but it’s limiting for him right now since he only has one. It’s not the ideal solution for him, but it’s a starting point. Zuckerberg said another focus for having an AI platform is to use voice and face recognition to set lights and the temperature depending on who’s in the room.

While some tech luminaries are concerned about the rise of artificial intelligence, Zuckerberg isn’t shying away from it. He explained: “I think we can build AI so it works for us and helps us. Some people fear-monger about how AI is a huge danger, but that seems far-fetched to me and much less likely than disasters due to widespread disease, violence, etc.”

“This should be a fun intellectual challenge to code this for myself,” Zuckerberg explained. He’ll most likely be posting updates about his journey throughout the year, similar to his book challenge from 2015.

Mark Elliot Zuckerberg (born May 14, 1984) is an American computer programmer and Internet entrepreneur.[6] He is best known for co-creating the social networking site Facebook, of which he is chief executive and president. It was co-f… read more »

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Watch Eddie Murphy Receive Mark Twain Prize, Nov. 23rd On PBS!

November 19, 2015   Humor
?url=http%3A%2F%2Fd1oi7t5trwfj5d.cloudfront.net%2F7d%2F1a%2F2058e6f34a34a7b5f3d153102ade%2Feddie murphy the kennedy center mark twain prize Watch Eddie Murphy Receive Mark Twain Prize, Nov. 23rd On PBS!
Eddie Murphy: The Kennedy Center Mark Twain Prize

Last month, the Kennedy Center awarded the 18th annual Mark Twain Prize for American Humor to Eddie Murphy, in a star-studded show that featured tributes by Chris Rock, Dave Chappelle, Arsenio Hall, Trevor Noah, Jay Pharoah, Whitney Cummings, Kathy Griffin, Sam Moore, Kevin Nealon, Joe Piscopo, and other special guests.

This year’s event initially took place on Sunday, October 18, 2015, and was taped, but not broadcast live. PBS has now announced that the network will air the tribute this Sunday night, November 23, at 9/8c (check your local listings).

I’ll certainly be tuning in. It’s also when “The Walking Dead” and “Homeland” both air (two TV shows I watch); thank goodness for DVR!

Past recipients of the Kennedy Center Mark Twain Prize are Richard Pryor, Jonathan Winters, Carl Reiner, Whoopi Goldberg, Bob Newhart, Lily Tomlin, Lorne Michaels, Steve Martin, Neil Simon, Billy Crystal, George Carlin, Bill Cosby, Carol Burnett, and Jay Leno.

Source: Shadow & Act

Here’s a sample of what’s coming in a few days:

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On This Day In Comedy… In 1970 Comedian and Actor Mike Epps Was Born!

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Programming contest taps analytics to mark endangered whales

November 17, 2015   BI News and Info

A programming contest encouraging the use of machine learning to help identify endangered whales is the topic in this edition of the Talking Data podcast.

Analytics software maker MathWorks in Natick, Mass., is sponsoring the competition, along with the U.S. National Oceanographic and Atmospheric Administration (NOAA). It’s hosted on Kaggle, which is a platform for programming contests and analytics competitions.

Underway until Jan. 7, 2016, the public competition is looking for algorithms that cull through aerial photographs and successfully recognize individual whales in the right whale community.

The right whales’ recent history is a tortured one. In the days of massive whaling, it seems, the right whales were a coast-hugging species — and easy prey for whalers who decimated their ranks. Those whales have been a focus of conservation efforts since 1935.

Their very small population has actually been adding members, recently numbering about 500, according to Christin Khan, fishery biologist with NOAA fisheries. That number is still tenuous. Among the issues the right whales face is entanglement in fishing lines. They also can be struck by ships.

“Part of our work is to identify every right whale we can,” Khan said. That job can be labor-intensive when staff members have to carefully eyeball photo after photo, she noted.

NOAA right whales mobile Programming contest taps analytics to mark endangered whales

Khan said she and her colleagues have watched the growth of machine learning projects that identify images. If such analytical algorithms can trim time from the whale identification task, that can free up staff for more proactive efforts. 

According to Paul Pilotte, MathWorks’ technical marketing manager, the contestant’s typical approach to the project is to first identify the whales by their unique head markings, employing, for example, edge detection routines. Programming languages used by contestants include MathWorks’ own Matlab, R and Python, he said. Then, predictive identifiers test out their work’s accuracy using existing NOAA image databases. The top prize for the programming contest for whale recognition is $ 5,000 for the winning team.

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Dear CMO, Part 1: Why Your Content Misses the Mark

November 10, 2015   CRM News and Info

content funnel 291x300 Dear CMO, Part 1: Why Your Content Misses the MarkWe recently asked a group of enterprise B2B CMOs a simple question:

How do you rate the effectiveness of your content marketing efforts in securing business for your company?

 What we heard surprised us – and the group. More than a third rated their investments as neither effective nor ineffective on this critical count.

In fact, for just shy of half the group (44%), securing actual client/customer engagement didn’t make it even as a top-three reason for investing in content development. Revenue-producing engagement finished a distant third place to “demonstrating our expertise” (2nd) and “building our brand” (1st).

Now, perhaps in the B2B environment in which a majority of these large companies operate (and spend millions every year on content), these findings should not come as a shock. But we then asked a second question:

What if we wanted the content we are all creating to be more sought after and directly connected to driving sales – what would we do differently?

This is where the discussion got interesting and holds lessons for all marketers regardless of where they serve.

First things first; what’s “content”?

What do we mean by “content”? Specifically, we are talking about those investments in intellectual property and knowledge produced by organizations for sharing and created to fulfill a business objective, such as driving action and engagement with existing and potential customers. Think of the tidal wave of newsletters, white papers, infographics, surveys, reports, and so much more that companies create today.

What’s driving content production?

The production of this content continues to skyrocket as companies of all types (B2B, B2C, B2G, etc.) acquire increasingly capable customer and client engagement systems.

For some, this is driven by investment in CRM and automated marketing systems, that enable more personalized content delivery.

Others prioritize deploying existing teams of in-house or freelance content creators: writers, recovering journalists, editors, videographers, and experts of all stripes, who are tasked with creating engaging and captivating “thought leadership” in digital and print formats.

For most, it’s a combination of the two because modern marketing systems rely upon, and are fueled by a very thirsty stream of – you guessed it – content.

This resulting crush of material being produced serves as a signal of its popularity among marketers and yet we’d argue that this growth is actually sowing the seeds of its own destruction.

Evidence for this comes from the most important arbiters – the very executive and other decision-makers that are its intended recipients. From this group, we regularly hear the same thing: “I don’t need more content. I am swimming in it. What I actually need are compelling solutions and people I trust to help me deliver them.”

And here lies both the problem and the solution that occupied our gathering of CMOs: A lot of content is created for the wrong reasons and by the wrong processes. Because of this, much of what’s shared often falls flat or outright fails for three crucial reasons:

  • How it gets built
  • Who builds it
  • What is measured (in terms of impact)

Addressing these will help to better engage the eyeballs and garner the clicks, shares, engagement, and ultimately conversion in the form of sales. And it is the last of these – conversion – that we argue is the ultimate (but often most elusive) measure of success when it comes to content investments today. 

You’re Doing It (Wrong)

 How it gets built

Let’s start with the how. In our experience, good marketing teams are filled with tremendously creative and talented people. And yet they are often only as good as their proximity to end buyers. To be truly great, they need clear understanding about what products and services buyers actually desire. They need to know how end users talk about unmet needs, problems they face, and success.

customer focus 300x249 Dear CMO, Part 1: Why Your Content Misses the MarkToo often, however, marketing teams are kept at arm’s length from clients and customers because those relationships are the domain of those with practiced “client hands” or those with the direct sales, service, or product delivery relationships. As a result, this separation creates an unhelpful and critical “airlock” or gap between those who hold the relationships and the way content is built.

This gap means that instead of experiencing client needs first-hand, the very individuals entrusted with building compelling content must intuit or rely upon second- or third-hand accounts of what clients really want. This is where a significant miss occurs between what is desired and what is delivered. This is particularly acute across the B2B landscape, where organizational constructs amplify this gap because internal structures such as service lines, practices, or go-to-market groups do not align with the reality of how senior leaders actually run their businesses. B2C firms are often better at making this connection but can suffer the same shortcomings.

Who builds it

The second reason content often goes astray is a by-product of the how and comes down to who builds it. We see far too many instances where experts inside companies, extrapolating from small samples arrive at what they think all customers must need and want to know. As a result, short- and (especially) long-form content that is intended to have broad-based appeal remains too narrowly focused, inadequately capturing the imagination and reality of a broader buyer set.

As an example, a product manager will often see the problem his product solves as emblematic of the entire population of potential buyers, when that’s unlikely to be true. But he may focus an entire content campaign seeking engagement around that solution, aiming at all buyers, rather than a carefully selected targeted subset.

This begs the question: Why have one expert or even small group of experts think they know what customers want when you can actually know what they want simply by asking and involving them in its very creation? Real-world testing and pre-engagement with actual buyers is a powerful and often under-used tool by content creators.

A second component of the who question is often political in nature. It stems from the way that many companies assess and reward the creation of content itself.

For example, in many large professional service firms, creating content is a pre-condition for advancement and establishing recognized domain expertise. (This is the corporate version of academia’s publish-or-perish.) In smaller firms, this may play out as the CXO or senior leader who creates content that’s positioned as “thought leadership” when, in fact, it is not – but few are willing to question it. Yet how well all this is actually received by prospective buyers, or what it generates in terms of meaningful engagement and sales is often an afterthought. Furthermore, because of these dynamics, much content does not always align well with broader go-to-market messaging.

Imagine this scenario playing itself out across large, global firms with multiple and separate business units and product offerings creating more and more information, seeking to make a splash. The result is often unwelcome and unread contributions created for the wrong reasons, all adding to the growing wall of content noise.

Recent research by McKinsey, Forrester, and Gartner bolsters the importance of this conclusion, noting that consistency coupled with close and personal customer connectivity is the glue of long-term customer satisfaction. McKinsey sorts this into three types of consistency: customer journey and interactions; emotional; and communications. Content created by different groups with different goals usually fails the consistency test.

What is measured

Finally, what impact your content has and how this is measured has become increasingly problematic. This has been exacerbated by the move to digital delivery and engagement platforms. When we asked how our assembled CMOs assess the success of their content marketing efforts, the group listed their preferred measures (in order) as:

  1. Web visits and other traffic (downloads, views)
  2. Social media recognition (likes, retweets and similar)
  3. Direct client feedback

Here again the needs and perspectives of the very clients for whom all this content is purportedly being created comes in third place!

content measurement 300x300 Dear CMO, Part 1: Why Your Content Misses the MarkAs engagement and access to content comes increasingly through digital means (click-through rates, web traffic, downloads, social sharing), many assess its impact through those same means. At face value, this makes sense but it tells only part of the story.

Metrics are powerful, which is why decision-makers like them. But alone – and absent context – they are the equivalent of the proverbial blind man trying to guess that he’s touching an elephant by holding only its tail. He may get lucky but he’ll make a lot of mistakes.

Take, for example, the excitement about the 2,500 downloads of your latest white paper (or article or infographic, etc.). However, if the vast majority of readers are not your customers or potential customers, but MBA students at a popular MOOC (massive open online course) who are using your findings for an assignment, you may have earned a lot of engagement but missed the mark. Well-crafted and well-used  automated marketing systems can help shine more light on data stories such as these. However, many respected organizations (and the leaders inside of them) often draw conclusions about success and make further misguided content decisions based on metrics that tell only part of the story.

So What Should CMOs Do?

So there we sat, back at our CMO conclave identifying and discussing these very dynamics that have been driving, and simultaneously diminishing, the impact of our collective content marketing efforts. Still, none of those in attendance expected to slow or stop their efforts. In fact, all reported expecting the same or increased levels of content funding for the year ahead. At every turn, we asked each other the same question when it came to the how, who and what to measure questions:

What if we wanted the content we are creating to be even more sought after and directly connected to driving sales – what would we do differently?

The group’s answers repeatedly arrived at the same place: We collectively need to be better at incorporating the voice-of-the-customer into our content creation and advocate more for that which they desire most from us, and less for what we think they might want or have little evidence from them to support.

The often-stated claim from marketers and companies alike is that they put customers at the center of all that they do. This promise of customer-centrism is often repeated, but seldom practiced. Actually getting to the coal-face of customer needs and creating this type of proximity for marketers is critical. Those gathered agreed that in some cases this would be easy to effect. In other cases, like the more political aspects of who creates content and for what reasons, it would be more difficult.

In all, the group reached a strong consensus around the need to be more present during discussions with customers and clients. Doing so ensures that the very people for whom content is created have a central voice in its constitution – making it more likely to have value for them and be used.

Perhaps more importantly, being face-to-face with customers positions the marketing function anew as the home for customer insights, a springboard for new products and services, the center for powerful personalization, and the catalyst for tying it more deeply to revenue generation in noticeable ways. Compare this approach with the rest of what we’ll call the “customer-disconnected crowd” who will continue cranking out content and similar to that blind man with his elephant, who keep on guessing as they add to the growing and misguided wall of noise in the marketplace today.

Beyond Sales Marketing Alignment Dear CMO, Part 1: Why Your Content Misses the MarkSurprised? Intrigued? Ready for change? Stay tuned for “Dear CMO Part II: Place the Voice-of-the-Customer at the Center of All You Do” to hear about specific techniques for customer-centric approaches, and garnering a more prominent role for marketing.

Can you imagine what’s possible, with an approach that yields comprehensive results across every stage of the customer lifecycle? Get Act-On’s free Beyond Sales & Marketing Alignment eBook.



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