Tag Archives: statistics

This Week In Market Research: 5/4/15 – 5/8/15

2015: The Year Big Data Becomes Agile

3 Of The Year’s Best Integrated Marketing Programs

Marketing Your App: Planning ahead and making you’re app easily discovered

Incredible Inbound Marketing Statistics: The cold hard facts

Content Marketing: Bringing emotion to b2b

Australia Is Leading The Way In Digital Marketing: Leading the world in proficiency

De-Buzzing Buzzwords: 10 Content marketing terms explained

3 Ways Mobile Is Impacting Your Marketing Right Now

How Big Data Could Reshape The Workforce: Thinking predictions

Hiring Data Scientists is Like Hiring Unicorns: Data scientists are rare

About the Author:
Ryan Polachi is a contributing
writer concentrating his focus on Marketing, Finance and Innovation. He can be
reached at rpolachi@IIRUSA.com.

A Look at the History and Future of Predictive Analytics and Big Data

How is the ‘big bang’ effect in predictive analytics changing modern life? 

This infographic illustrates how innovations over the past 70+ years have led to a new era that will revolutionize research and development, touch every type of business, fundamentally change the way individuals make personal decisions, and enable governments to reinvent the way they operate.

Poll Results: Why are businesses so slow to adopt mobile apps or websites?

Recently I created a poll on LinkedIn asking “Why are businesses so slow to adopt mobile apps or websites?” For example, this report from December 2012 showed that ‘The big news is that 12 percent of Interbrand’s Top 50 retailers don’t have a mobile presence’ and another from September 2012 showed that “98% SMB websites are not mobile optimized.

While not statistically significant, this informal poll saw 67% of participants responding that the biggest reason was organizational resistance to change. And yes, that’s a hard one to fight, when the organization isn’t ready to change and the outstanding growth of mobile isn’t convincing them, what do you do?

What do you think? Do you agree that this is the biggest challenge marketers face in trying to launch mobile marketing programs? Will 2013 finally be the year that organizations see the value and really start investing in mobile development and marketing?

Michelle LeBlanc is a Social Media Strategist at IIR USA with a specialization in marketing.

Thanks for attending #TMMC, Plus “What’s Your Platform?”

First off, we’d like to thank everyone who attended The Mobile Marketing Conference last week and helped to make it such a great experience. As we start to sift through out video footage and notes, expect lots more coverage of the subject right here.

Our partners at 3Seventy have put together a great wrap-up post already, sharing their main takeaways. Check it out here.

One question that came up frequently over the course of our 3 days in Miami was “What platform?” – with attendees occasionally being asked what platform they personally were using. The best thing to do when faced with this question is to look at the data – what does your analytics platform have to say about your visitors and what browser they are using?

For fun, I grabbed the screenshot below showing what platform users of the #TMMC hashtag on twitter were coming from. Behind HootSuite and Tweetdeck, Twitter for iPhone was our mobile winner coming in at 8% of tweets and Echofon (iPhone or iPad only) also picked up 3%. Twitter for Android and Tweetcaster for Android were in use as well and Twitter for BlackBerry was used for less than 1% of tweets.

Visit TheMMConference’s Archive on #TMMC Containing 522 Tweets for more stats from the conference; http://archivist.visitmix.com/TheMMConference/1

To continue the discussions well into 2013, we encourage everyone to join the LinkedIn Group. This is a global network of professionals from all industries who share a common goal to track and develop Mobile Marketing trends and developments. Plus, keep up with the latest news by subscribing to updates from us on Facebook or Twitter.

If you are interested in sharing your conference insights here or contributing a guest blog, please contact me, Michelle LeBlanc, at mleblanc@iirusa.com. We’d love to have your input!

Scaretistically Speaking’

By Marc Dresner, IIR USA

‘People can come up with statistics to prove anything. Fourteen percent of people know that.’
~ Homer Simpson’s response to a TV news interview question in which the local anchor cited an inconvenient statistic

With Halloween so close, I thought we might all be up for a good, scary story.

What you are about to read is confidential and may get me in trouble, so please don’t share it with anyone’not a soul! (Beware: even weaker Halloween puns ahead.)

A closed-door meeting of my condo association’s board of directors took an amusing and slightly alarming detour the other night into the realm of statistics.

We five had gathered to finalize the 2011 budget and ‘ more importantly ‘ to review bids from several cable and satellite TV providers.

(I stress that the latter is more important because while I do not enjoy budgeting, I do enjoy what little television I have time to watch and I am dissatisfied with our current bulk services provider.)

The budget discussion was relatively uneventful. But the cable conversation was a bit more’spirited. (I warned you.) Apparently I am not the only person with strong emotional ties to the tube.

First, we needed to be able to justify the switch, because any option other than staying with our current provider would nearly triple everyone’s monthly cable bill. With more than 260 units, that’s a lot of rotten produce being thrown our way at the next homeowner’s assoc meeting if our call turned out to be dead wrong.

Now, we’re confident that most of our residents are unhappy enough with our current provider to accept the increase; however, beyond anecdotal evidence and a two-year-old survey with a lukewarm response rate, we really didn’t have much else upon which to stake our decision.

So you can imagine my reaction when one of my board colleagues ‘ who is much smarter and more accomplished than I, and by whom I will likely be sued if he reads this ‘ suggested that the vast majority of residents are probably open to accepting a new cable/satellite services provider at triple the price in a recession BECAUSE ‘ drum roll ‘ conventional wisdom in political polling dictates that for every person who bothers to make their opinion known, there are one or two others who feel the same way, but do not say so.

So, one vote equals two, maybe three? Based on our two-year-old survey results, that would constitute a sizable majority of residents (most of whom did not bother to respond to the survey).

Interesting stat, no? And, by the way, let’s hear it for self-selection error!

It gets better’

In response, another of my board colleagues ‘ again someone much smarter than I, with outstanding credentials ‘ leaned in and said, ”Joe,’ this is not a political poll.’

Re-read that last line, just for laughs.

So, board member number two’s issue was not with the accuracy of board member number one’s math, but with the nature of the topic being polled. Apparently, the 1=2-or-maybe-3 rule indeed applies to political polls, but not to non-probability sampling in matters regarding cable television services.

Now, I am by no means a statistician and I did not dispute this line of reasoning (the meeting was already running long, and it was a harmless point well taken), but I believe both of my colleagues were slightly mistaken.

Isn’t the correct rule of thumb that for every one person who voices a complaint, there are 27 others who feel the same way but don’t complain? Or should we defer to the ole adage: ‘A happy customer tells a friend; an unhappy customer tells everyone’? It’s all so confusing’

I relate this tale all in good fun, and I mean no disrespect to my wonderful condo board colleagues, none of whom ‘ I trust ‘ will call for my resignation if they happen to read this.

At the end of the day, my point is that the blas?? tossing about of questionable stats is frighteningly commonplace ‘ and educated, intelligent people routinely and willingly accept them without question.

Which reminds me: we have an election coming up!

I’ll keep my politics to myself, but I’ve already seen enough push polls and suspicious numbers to sustain me through the next four election cycles. And while it’s easy to point the finger at politicians (I have a special finger for that), the worst offenders are the journalists who lack the background and/or inclination to verify the validity and reliability of the numbers they so eagerly push out into the echo chamber as fact.

This sentiment was echoed in IIR’s recent podcast interview with NBC’s SVP strategic insights and innovation, Horst Stipp, who had some pretty strong things to say about the irresponsible use of research, and who noted that journalists and politicians are not the only offenders: Researchers, too, occasionally lapse.

Bottom line: I think we can all agree that the misuse and manipulation of statistics ‘ in journalism, politics, commercially and even by condo boards’for whatever end ‘ is totally out of control, with grave implications for research credibility.

So what’s your scary stats story? We each have one, so I’m interested in hearing all three of yours.

Happy Halloween!

Free Webinar – The Search for Meaning in Fuzzy Data: Can Advanced Statistical Techniques Be Applied to Qualitative Research?

Date: Thursday, January 28th
Time: 11:00am – 12:00pm EST
Register: https://www1.gotomeeting.com/register/965782985
Mention priority code MWS0019BLOG

Can Advanced Statistical Techniques Be Applied to Qualitative Data?

* Are you familiar with factor analysis?
* How about color analysis of images?
* Have you ever applied quantitative analysis to qualitative or projective techniques?

Traditionally, online research has been purely quantitative and focused primarily on numeric data. While qualitative research highlights thematic and sub-conscious learning, sometimes fuzzier findings or unstructured data. However, as qualitative and projective techniques are used online with more robust sample sizes, new ways to analyze the data emerge. Sometime you get surprising results.

For nearly 10 years, BuzzBack has been pioneering innovative online qualitative techniques, developing award-winning ways to collect and analyze online qualitative data. Our techniques, including eCollageTM and Verbatim ViewerTM, have been recognized by today’s leading research organizations.

Through a case study approach, this webinar will highlight new ways you can analyze unstructured data ‘ even applying traditionally quantitative approaches. You’ll learn:

* What factor analysis is and how it’s traditionally used
* How factor analysis can be applied to qualitative findings
* Ways color analysis can be applied to online collaging

Join Allan Due, VP Research Analytics of BuzzBack, and explore new ways to find meaning in fuzzy data.

Featured Speaker:
Allan has over 10 years’ experience in Marketing Research. Prior to working at BuzzBack, Allan was VP, New Products and Databases at Ipsos-ASI where he planned, developed, and implemented New Product initiatives including Next-Idea; An Online Kids Test to measure ad effectiveness and Online Modeled Reach Measures. Allan was also responsible for all Online testing methodologies at Ipsos-ASI. Prior to that Allan was a professor at Fordham University for 6 years where he was the Director of the Psychometrics program. Allan completed Ph.D. programs in Psychometrics and Counseling Psychology at the University of Minnesota.