Saturday, August 30, 2014

Pinterest Business Model Canvas

If you look at the most successful [Web] companies, they really find a great intersection between what people are there to do and what advertisers want to do. They make it pretty transparent.”
Ben Silbermann, CEO Pinterest1


Executive Summary
If Pinterest is to survive on advertising, the focus should be on seamlessly integrating the user purpose and experience with the advertiser’s goals2. The site also needs to be transparent about its model to respect its user base. Pinterest’s current users can be split into 2 main camps: Inspiration-seekers3 (those who come to the site to be inspired) and Influencers (those who are heavy users of the site and have significant followings). Influencers will serve as intermediaries to help better connect the purpose of the Inspiration-seekers with that of the advertisers, without having advertising content come off as too contrived. The benefit to Influencers is receiving a payment for agreeing to feature up to 20% promoted content on their Pinterest boards. The benefit to the Inspiration-seekers is that the integrity of the experience will be preserved while at the same time suggesting additional inspirational content through advertising. To preserve the experience, Advertising content has to be seamlessly woven, such as: 1) paid search which suggests content related to the user’s search 2) “You might also like” suggestions based on user’s recent pins 3) “Pinterest suggests” items based on user’s past search history. This Free/Advertising model is a viable proposition, with a unique Multi-Sided platform twist by using the Influencers as an intermediary between the Advertisers and the Inspiration-seekers to help preserve the Inspiration seeker experience4.



Sources:
1 MacMillan, Douglas, Jan. 21, 2014. “Pinterest CEO Lays Out Growth Plan.” Wall Street Journal.
2 This is the beauty of the Google business model: users are Googling for a purpose, and the paid advertisements Google shows are related to what users are actually seeking so both advertiser and user benefit. Facebook’s business model is more challenging because advertisements on a friend’s sharing site may feel more intrusive.
3 “Inspiration-seekers” and “Influencers” are terms I developed
4 Osterwalder, Alexander & Pigneur, Yves, 2010. Business Model Generation.


Sunday, August 24, 2014

Yes, I’ll have some Ice Cream, Please (The Power of Mood Targeting)

In last week’s blog post, I wrote somewhat skeptically about micro segmentation and big data. I questioned the usefulness of very micro segmentation, or very big data.

This week’s Numerati article got me thinking further on the topics of micro segmentation and big data, and not their power to segment individuals based on demographics or even purchase data, but to segment based on moods.

Image source: PBS.org
The article talks about a data scientist Dave Morgan who found a data pattern where a large number of romantic movie goers clicked on an Alamo car ad.

While at first the relationship was puzzling, eventually the researchers discovered the link had to do with people’s moods—the romantic movie goers were more likely to respond to the Alamo car ad because it talked about escapes, which was a better fit for their current mood than car ads which focused on the car for business use.


The possibility of targeting someone in the moment—not based on a detailed database of the person’s demographics or even purchase history—but based on their instantaneous mood, is to me, much more intriguing.

Here is why.

First, it’s simpler than most micro targeted because it does not require storing large amounts of data. It didn’t matter if these movie-goers were male or female or from the country or the city--- what mattered was that the ad’s focus on “escape” fit their mood for romance and escaping. The ad was able to be very effective, without all of the hassle of trying to keep an ongoing database or track of each individual. It was effective by simply recognizing the user’s current mood.

Second, segmenting on mood has the potential to be so on-target that it could actually be welcomed by the customer. To demonstrate its power, I will digress for a minute to talk a bit about the current forms of advertising
  •  At one end of the spectrum is the mass TV ad—it will hit some of the intended target but also a lot of people that would not be interested. For example if I watch the golf channel with my dad, I see ads for golf clubs and Viagra, neither of which is appropriate for me.
  • Further along the spectrum towards targeting is a service like Pandora.  (I am a loyal Pandora user and often like to analyze the ads that they give me to understand how they might be targeting me). While Pandora does a much better job of targeting ads than TV, it is still not perfect. For example, one of the channels I like is Spanish music which serves me commercials in Spanish. For probably 99% of their audience this makes sense; however I happen to be the 1% that likes to listen to Spanish music but can’t understand a word of it. Closer, but still no cigar.
  • Even banner ads with their precision targeting sometimes get fooled. For example, after I have been researching Cadillac for this course’s Online Marketing Information assignment I have seen ads for the Cadillac ELR follow me around on nearly every site. The technology is smart, but unfortunately in this case wasted. Sorry, Cadillac.


In contrast to these examples, what makes the prospect of targeting by mood so exciting is that success will be nearly guaranteed. If you find ways to identify and reach consumers with specific moods your chances of connecting with them are nearly 100%, and potentially even welcome. For example, imagine being able to identify certain consumers within a 10 mile radius who are projecting a “fun, laid back mood.” An ice cream store that could reach out to the consumers in that mood to invite them to come in to try the latest flavors would probably find resounding success.

Readings
·         Week 5 Readings
o   "Introduction," in The Numerati, pp. 1-16. (Download content.)
o   Big Data and You: People Still Matter
o   Great very recent article on Big Data and your Health.  Thanks to a student for providing this link.
o   Brief History of the Internet You Tube video
·         Week 4 Readings
o   Article and Video:  "Twitter Turns 7" Digital Trends 2012 
o   Article: "The Economics of Giving it Away," The Wall Street Journal, Jan. 31, 2009. (Download content.)
o   Video:  Disrupters: eCommerce Presentations by Charlie Kim of Next Jump, Inc.; Jen Beckman of 20X200; and Tebecca Thomsen of Alice.com.
o   And a link to an recent article about the demise of Alice.com.  The times they are a changing.



Saturday, August 16, 2014

Business Model Canvas- Nielsen Innovation Practice

Executive Summary: Nielsen Innovation Practice Business Model

Nielsen Innovation Practice provides Consumer Packaged Goods marketers with customized solutions to meet their new product innovation needs. Unlike other providers, Nielsen Innovation Practice has an extensive competitive database and proven methodology to predict the likelihood of in-market success of new products. Nielsen consultants also work one-on-one with clients to reduce the risk of new product launches and maximize their potential.

Nielsen Innovation Practice also has extensive expertise in new product sales forecasting, leveraging proprietary models which have been validated to be within +/- 20% of product sales in 9 out of every 10 cases. As such, Nielsen’s forecasts can be extremely useful to clients in prioritizing their innovation pipeline to get the greatest return on investment and in managing launch expectations internally and externally. As a part of The Nielsen Company, the Innovation Practice also has access to a wealth of secondary data about new product sales which is used to continually update and calibrate its models.

New product launches can be risky and expensive if not handled properly, so Nielsen’s ability to successfully predict new product viability and sales potential can be very valuable to its clients. While other providers may have lower costs, Nielsen’s proven track record of success is unparalleled.



Sunday, August 10, 2014

How “Big” is Big Data and how “Micro” should Segmentation Be?

“Big data” and “micro” are buzz words infiltrating nearly every marketer’s vocabulary. But how relevant right now are these trends, really, for most companies?





Image Source: from C570 Marketing lecture PowerPoint.


First, Micro segmentation:

While I agree that market segments are becoming increasingly smaller and that some companies are able to effectively “micro” segment I would argue that for the majority of companies, “micro” segmentation is a future (rather than present) reality.

First, I’d like to highlight some of the companies who are currently micro-segmenting, and doing it well. For example, Amazon actually has a customer segment of “one” because it customizes the user interface based on the user’s specific search history. Based on the user’s specific search history, the page will show different sponsored or recommended items. Another great example is Pandora, an online music service which customizes each individual’s play list based on past preferences of the user’s likes and dislikes.

While micro segmentation has been very effective for these companies, all companies should not conclude that micro segmentation will necessarily be a golden ticket for them. Amazon and Pandora have some things in common which make micro segmentation an ideal strategy for them, but it may not hold for all companies. For instance, both are heavily digitized; however, companies with large physical infrastructure will find micro segmentation much more difficult. For example, according to the “Long Tail” podcast, Barnes & Noble holds ~10,000 books compared to Amazon’s 5 million. Imagine a physical store that tried to keep Amazon’s entire inventory on hand!

If micro segmentation is not automatically a great fit for every company, what should a company consider before jumping on the bandwagon? First, a company should consider if micro segmentation will help with the company’s competitive advantage now or in the future. Second, while “micro” segmentation might not be possible for a company yet—how can their segmentation strategy be moved closer along the spectrum to “micro”?

The bottom line is that although the trend is definitely moving towards micro segmentation, some companies will need to take some steps to get there.

Second, Big Data

“Big Data” has to be one of the biggest buzz words in marketing today (pun intended). While the idea is simply fascinating, I have to question just how useful “big data” is right now for the majority of companies.
In January this year I attended a guest lecture by John Lucker, a principal from Deloitte Consulting on Business Analytics, in which he talked a lot about Big Data. His opinion was that Big Data was powerful but also over-hyped. I was glad to hear I was not the only one feeling this way! Big Data is similar to Micro Segmentation in the sense that if it is harnessed properly it can be extremely powerful; however, most companies have no clue how to deal with it, or the capacity to do so.

One company which has begun to harness Big Data is GE, which is monitoring large equipment in order to predict when breaks will occur to prevent downtime.  However, for most companies the barriers to Big Data are simply too large (pun intended again). First, there is a contextual problem with Big Data. As Lucker pointed out, even something as seemingly simple as Facebook “likes” can be difficult to derive value from. For example, if someone posts about a relative passing away, and someone else “likes” it—what does this mean and how does that compare to other likes? In order to make Big Data useful, you need to have the appropriate context, which is not always easy to do. Another barrier is that due to its complexity, proper Big Data processes require a large team with diverse skill sets—something most companies simply don’t have the time or resources to invest in.


Therefore while the potential power of Big Data is huge, it is important for companies to be wary of what Luker calls the “hoarder mentality.” There can be a temptation to store away Big Data for the future, hoping at some point the company can use it effectively. While this strategy might be warranted in certain cases, before they start “hoarding” companies should ask themselves the hard questions of “How much does it cost to store?” and “What value do you expect to derive from it?”. If the value equation doesn’t add up yet, hoarding too much “Big Data” could be a big mistake.

Readings:
  • HBR Social Media
  • IBM's CEO on the Death of Segmentation
  • The New Influencers
  • Seth Godin TED Talk: How to get your Ideas Spread
  • Chapter 1: The Long Tail (and podcast)
  • The Point of Twitter NPR podcast


Saturday, August 2, 2014

Empowered Customers: A Marketer’s Worst Nightmare or Biggest Opportunity?

When thinking about how the internet has fundamentally shifted the balance of power to the customer, the following (frightening) phrases might come to the marketer’s mind:

Rapidly changing rules
Loss of control
Feeling uncomfortable
Transparency

As “Groundswell” article states,
If you have a brand, you’re under threat. Your customers may have an idea about your brand that varies from the image you are projecting.
If you work for a media company—look out. Advertisers are shifting more of their money online.If you are a retailer, your lock on distribution is over.

As a Type-A personality marketer myself, I have to admit my skin crawls a bit thinking about all the people that could be out there talking about my brand unsupervised and uncontrolled. With a push of a button they could be sharing their opinion with thousands. They could be saying anything they want! What’s even scarier is that there doesn’t seem to be a well-defined, well-tested mode of response. Customers are in control, and most marketers haven’t figured out what to do about it. In one sense, it seems like a marketer’s worst nightmare.

But the more I think about it, does my response make sense? At its core, isn’t the purpose of marketing (and a business) to satisfy customer needs (for a profit)? If our goal as marketers and business people is to satisfy the customer, shouldn’t a more empowered customer actually be a good thing? An empowered customer might be more likely to slander a bad product— but isn’t that something the business should be aware of so that they can improve product quality? An empowered customer might be more likely to talk about your brand in ways you can’t control—but isn’t the most important thing about a brand what it means to customers?

Embracing the age of the empowered customer is uncomfortable. It’s messy. It makes you feel vulnerable. But if done right, empowered customers can also be extremely empowering for marketers.

Like I said, there is no proven framework or set of rules of what marketers should do, but here are some common themes from the readings that could be a good place to start. Interestingly, each of these actually takes the “frightening” phrases listed at the top and turns them around to a company’s benefit. To succeed in the new world of the empowered customer, marketers should:

  1. Don’t be afraid to Experiment or take risks—As the “Groundswell” article mentioned, after Diggs.com acquiesced to the requests of the regulatory agencies several times, the CEO finally took a big risk and listened to his customers, putting up the DVD code on his home page
  2. Focus on Collaboration, not control—At first, Threadless.com might not seem like a business (“Dawn of Human Network”) since the company itself generates very little of its own content. But by combining its host site and manufacturing with its customers’ creativity and content, the site has turned into an extremely profitable business.
  3.  Embrace Humility—In the old world of marketing, it might be tempting to think that you “know it all” or can “do it alone.” In the new world, it is particularly important to realize that you don’t know everything and that you cannot go it alone. In Snakes on a Plane (“Groundswell”), the movie company realized that they had lost control of their target audience and the movie’s content but instead of trying to reclaim it, they simply incorporated the feedback of its fans to create an instant hit.
  4. Listen and respond:
As “Making the Transition to the Social Web” states, “Marketing to the social web is not about getting your story out, it’s about your customers. It’s about being more transparent, earning trust, building credibility. It’s about nurturing relationships and dialogue among customers, prospects, your company, and whoever else is active in the community.”

Dell is a good example of a company who turned negative social media about its company into a way to turn the company around (“Dell Learns to Listen”). In response to customer complaints, Dell made significant changes to the company to help improve it:

  1. Dell created a Direct2Dell blog where it meaningfully engaged with customers to understand and fix their problems and IdeaStorm.com where it asked customers to tell the company what to do. And as a result of customer feedback, negative social media comments about the company dropped from 49% to 22%.
  2. Dell realized that significant cost-cutting had gotten in the way of customer service. In response, it A) reduced its outsourcing partners from 14 to 6 (with plans of reducing to 3), B) stopped counting “handle time” (which promoted an average number of 7 transfers!) and C) focused on “Resolve in 1 call.”

Letting the customer in is not easy. It opens your eyes to what you are doing wrong. It creates bigger risks. It means letting go of control. But the examples above demonstrate that empowered customers don’t necessarily mean disempowered corporations. If managed properly, the equation can change from “minus” to “plus”, where companies are combining their powers with the power of the customer for 2x the impact.

As the Dell CMO said, “listening to our customers… that is actually the most perfect form of marketing you could have.”

Sources
·         “Made to Engage” (week 1)
·         “The New Conversation” TG4 (week 1)
·         “Groundswell” (week 2)
·         “Dawn of the Human Network” (week 2)
·         “Making the Transition to the Social Web” (week 2)
·         Jarvis, Jeff, October 17, 2007. “Dell Learns to Listen.” BusinessWeek. http://www.businessweek.com/stories/2007-10-17/dell-learns-to-listenbusinessweek-business-news-stock-market-and-financial-advice

Additional Reading List
·         Books 2.0 (week 1)
·         The Web & TV, a sibling rivalry (week 1)
·         Katie Couric—“What is the Internet Anyway?) (week 1)
·         The Internet before Search Engines—the 1990s point of view (week 2)
·         Web Video: the New, New Thing (week 2)
·         The Social Marketing Playbook (week 2)
·         “Star Search” (NPR) (week 2)
  Crowdsourcing Evolution, YouTube (week 2)