Saturday, 19 December 2015

10 Social and Content Marketing Technology Trends to Watch out for in 2016

10 Social and Content Marketing Technology Trends to Watch out for in 2016





10 SOCIAL AND CONTENT MARKETING TECHNOLOGY TRENDS TO WATCH OUT FOR IN 2016

Author: Ian Cleary




Social and content technology is transforming, and will continue to transform the ways in which we engage with people online.
Do you want to hear about the exciting changes that are happening in the industry? The changes that will shape what’s coming in 2016?
I recently presented at a fantastic marketing technology conference (MarTech) founded by Scott Brinker and, at this event, I gave a sneak peek into what’s coming in 2016.
Before we dip into the trends, let’s look at the depth and breadth of social technology.

What is social technology and how broad is it?

When you talk about social, people think Facebook and Twitter.
They are certainly platforms that enable social but it’s so much broader than this!
Social technology can (and should be) found across an entire organization – marketing, sales, customer service, HR and many other departments.
Social technology is technology that facilitates a conversation with your target audience (employees, customers, partners) through digital channels.
Here are some examples:
  • Facebook.
  • Email – if you are not just about broadcasting, this can be a great channel to open up dialogue with your customers and stimulate conversations.
  • Website chat – very social, you allow customers on your website to interact with you in real time.
  • Messaging tools like WhatsApp and Slack
  • Commenting systems
  • Skype – 1-to-1 communication over voice/video is not scalable but is extremely powerful for targeted groups. Can you build a relationship over skype? Of course.
Your whole social strategy could be that your team is available 24 hours a day to interact with website visitors and you create the best and most engaging and personal experience for your audience.
What’s wrong with that?
Think about social technology differently and you’ll see the potential for success.
Quote from Venturebeat
You do not have to be on Facebook and Twitter to be a social organization.
But you do need to open up your brand for conversations and engage with your audience, and that is not necessarily what we typically think of, with social channels.

What about content-marketing technology?

Content is the fuel that feeds the fire.
You need to build your marketing engine, and content and social technology are crucial components of this.
As I only had 25 minutes for my talk, I missed out on a few items. So here are 10 areas that are worth watching over the course of 2016.

1. Acquisitions give more depth and breath

Have you noticed the number of acquisitions going on in the social space at the moment?
Why are there so many acquisitions and what’s going to happen in this area?
Trends2016-Acquistions
Investors realize the true potential and scope of social and are investing big dollars in some big platforms.
This is selective investment in the companies that really have tied down social in a way that is impacting a customer’s bottom line.
For example, NewsCred (a content marketing technology and service) raised $42 million and Sprinklr raised $46 million.
NewsCred is a content marketing platform as well as a marketplace for services. But NewsCred is expanding its content to TV advertising. That’s content. Think broad.
These vendors will go on acquisition trails to expand their social technology platforms.
Larger customers do not want a lot of different tools that don’t integrate well together.
Sprinklr recently acquired GetSatisfaction, Branderatti, Pluck, Newbrand and others. And they are not stopping there.
Sprinklr are extending their platform to cover more areas of social. For example, GetSatisfaction is used for customer service and Newbrand is a predictive analytics platform that predicts buyer behavior.
It’s fascinating to watch.
As a tech geek, I love all this.
Watch out for more acquisitions like this:
  • Monitoring tools – Management tools will buy monitoring tools because it doesn’t make sense to have an independent monitoring tool.
  • Management tools – Monitoring tools will also buy management tools! Acquisitions can go in both directions.
  • Management tools buy curation tools – If a company builds a really smart curation tool, this can be very useful to incorporate as part of a management platform.
That’s just an example, watch out for a lot of action in this space!

2. Freemium to stay but free to go

We all know that building your social strategy on free is a bad strategy.
The freemium model is where tool providers offer you access to a tool with limited functionality or for a limited time period in order to help build trust with the product so that you eventually upgrade.
Freemium is loss making but creates customers and brand awareness and has other benefits.
Free is now more and more unsustainable.
The reason is that platforms such as Twitter and Facebook are increasingly restricting access to their data unless you pay.
Last year, Twitter implemented restrictions to the ability to access to their full fire hose (their complete data).
To get access to their full data, you pay money through a company called Gnip (there are alternatives, too).
Recently, Twitter bought Gnip and brought this back in house.
Twitter has also just announced it will no longer share Twitter count numbers (i.e. the number of shares). To get access to this, you will need to pay!
At the end of April, Facebook announced it was implementing further restrictions on its public API.
Expect more platforms to follow suit.
Their data is valuable, why make it available for free?
Be careful of free. It’s not affordable.

3. Influencer Outreach Automation

I’m sure you’ve noticed that the number of opportunities to engage with your potential customer on different platforms is increasing.
There’s Facebook, Twitter, Snapchat, Instagram, WhatsApp, Periscope, Meerkat and many more.
But you can’t be expected to have a presence on all of these platforms.
This is where influencer marketing will become increasingly important.
Infuencer marketing
It is very expensive to build up a presence on a new platform and you can’t focus on all platforms at once.
So, one of the best ways of reaching some of these new platforms is through an influencer who already has a trusted relationship with the audience you want to access.
This could be a paid or unpaid route.
If you have a small influencer program with a small number of influencers, managing this is not too difficult.
But if you want to scale this up so you’re managing relationships with thousands of influencers, you need some automation.
Recently, TapInfluence announced that its platform now supports extensive automation to find, manage and track influencer relationships.
Influencer marketing automation technology is the future of influencer marketing.
Build influencer relationships at scale.

4. Curation gets smart

Earlier, I mentioned the potential of curation tool providers to be acquired.
Curation is the ability to find the most relevant content from the noise that is available.
BuzzSumo, Content Gems, Curalate, Scoop.it and many more options are available.
BuzzSumo brought out a tool to find trending content, which is the most-shared content, content shared by influencers and much more.
It has grown rapidly because there was a real need for a tool like this.
Curalate will find the most relevant content for you but it will also track what you share from the content it presents.
It can then tailor future content, based on what you have shown interest in, using its smart curation engine.
The future of curation is coming.
It’s smarter, it’s predictive, and it’s mega useful.
Mark Schaefer introduced the term ‘Content Shock’. There is too much content out there. Curation creates a bird’s eye view of the content you need to know about.
Too much content is not a problem if curation is smart enough to find the best content for your audience.
With the increasing volume of content, you need smart curation tools.
And… they are on their way.

5. Image recognition and analysis

We have so many text-based monitoring, filtering and analytics tools but most social content is based around imagery.
Image analysis is hard and not foolproof.
But technology is getting better in this area and having image recognition and analysis software is a big plus to brands.
Sysomos recently acquired Gaze.
Gaze provides image recognition and analysis software.
You enter a search for your logo and Gaze identifies images that contain your logo.
Smart, eh?
Absolutely, its mega smart and essential.
Social is image- and video-based at his core, and we need the tools to match this.

6. Content optimization and Content predictive analytics

Imagine being able to predict whether you could rank for a piece of content before you post it?
Did you know that 95% of your blog content typically gets an initial burst of traffic and then no organic traffic on an ongoing basis.
You’ll find that a small number of blog posts get the vast majority of your organic traffic.
Inbound Writer is a tool that’s all about content-predictive analytics.
You enter the keywords you want to create content about and rank for and it will predict the likelihood of achieving this.
Let’s not waste time on content that doesn’t rank in organic search. Some content you’ll write because you simply want to write about that topic and don’t care about organic search results but, with most content, you’ll want to rank for it.
Predictive content analytics. It’s the future.
Content optimization on the other hand is smart software that reads your content and tells you what’s wrong with it.
Does it have spelling mistakes, grammar issues, is it going to be engaging?
Writing content that is not engaging doesn’t do us any good.
Platform such as Acrolinx have very smart software in this space. Let’s only deliver the most engaging content.

7. Massive increase in enabling and tracking social selling.

Social is a channel.
You direct traffic from social media to your website to feed your funnel.
You might nurture the relationship a bit more, to warm up your prospect, but you still pass them through a funnel to generate sales.
Or… maybe you don’t and you should!
Next year, Facebook, Twitter and other platforms will have a ‘buy’ button.
It may be suited more towards low-value transactions but it makes perfect sense.
Imagine a friend sharing a review of a book (shared as a Twitter card that contains the image of the book, summary of the review, etc.).
You see it, you click ‘buy’ and purchase the book without leaving Twitter.
You’re on LinkedIn and you’re impressed with a consultant. You click a ‘hire me now’ button and transact within LinkedIn.
It’s coming.
But what’s also coming is that social media and content marketing people will understand the importance of building sales funnels.
Internet marketers know how to build online sales funnels.
Traditional social media and content marketers don’t.
If you don’t have the software, you’ll need the skills.
It will come in the form of software like Insightpool.
They have a social media automation platform that warms up the relationship with a prospect on social.
And…
…recently, they bought a social selling platform that closes the sale.
We need to hire content marketing and funnel optimization experts. We need to hire social media and funnel optimization experts.
You create the conversation, you create the opportunity for the sale, and you close the sale.
We train people around the world in our PRISM model. You create an audience (P for people), you develop the relationship (R for relationship), you drive inbound traffic (I for inbound traffic) you generate email subscribers or you do social retargeting (S for subscribers or social) and then you monetize (M for monetize).
PRISM Method from RazorSocial
You can sell on social media.
There will be more selling on social media.
Update your tools and your skills.

8. We’ll see more predictive analytics

Predictive analytics is where we use technology to predict what is going to happen, before it actually does.
For example, Trendspottr predicts a trend before it happens.
Imagine if there was something really negative about your product that was shared online.
Wouldn’t it be great if you catch this before it went viral?
Trendspottr tries to predict a trend before it happens.
Trends2016-TrendspottrGraph
We mentioned Newbrand already, which predicts customer buying behavior.
We will see a lot more in this space.

9. Live streaming

Live streaming has been around for many years but it never got widespread adoption.
This is changing and we’re at the start of rapid growth in this area.
Blab, Periscope, Meerkat, NomadCast and many other live-streaming platforms are growing like crazy.
Why now?
We have the mobile devices, we have the bandwidth and we’re more used to opening up to people online because of social media.
Don’t sit on the sidelines.
Build a strategy for live streaming. It’s not going away.

10. Messaging – Slack

WhatsApp has over 850 million users. It’s a messaging app. It will have more users than Facebook in 2016.
Slack is a messaging app for teams.
However, that slogan on their website will change soon because the potential for this platform is enormous. This shows you Google trends related to searches for Slack… it’s only at the beginning…
Messaging platforms like Slack are going to take over from the likes of LinkedIn groups, which are full of spam.
There is going to be another breed of social that is engaging, real-time and powerful.
Watch out for this!

Summary

We are at a very exciting time with social technology.
  • The market is maturing.
  • The tools are maturing.
  • Our knowledge of social and content is maturing.
Many people will give up on social and content marketing because they never understood it in the first place. The people who stick with it and really get these forms of marketing, will thrive and tools will help them get there.




http://app.mhb.io/e/fav2/1

A Straight-Forward Guide to Optimizing Your Funnels for Maximum Conversions

A Straight-Forward Guide to Optimizing Your Funnels for Maximum Conversions



A Straight-Forward Guide to Optimizing Your Funnels for Maximum Conversions



Maximizing your conversion funnels can only happen when you experiment with each element of customer interaction, dig deep into the analytics and thenoptimize the design.



Fortunately, you don’t have to test everything at once. But where should you start?



In this article I’ll tell you:

Where you should start



The most important interaction points to test



The essential elements at those interaction points to test

And different tests you can run.



Let’s get started.





1. Create Google Analytics Funnels

Your first step to building a well-built online conversion funnel is to set up a funnel visualization in Google Analytics.



If you don’t have this set up…stop right now and go set it up. The data you will collect will reveal where your users are abandoning the conversion funnel.

The requirements are simple:

Goal Name – Give the goal a name that will help you recognize when looking at your data reports. For example, “white paper A download” or “free trial subscription.”

Define The Funnel – Google Analytics allows you to add up to ten pages in a conversion funnel. This is where you will find out where users are dropping off before completing the “goal”…so get this path right.

Give The Goal A Value – To calculate ROI and other metrics in Google Analytics, you need to figure out what a completed goal is worth. For example, if 10% of people who download a report spend $500 with you, the download value might be $50 (10% of $500).

This tracking will help you discover when and where people are leaving your site during the conversion funnel.

For example, you may see that visitors are bouncing off of one page in the conversion path. You discover this page is where you have the price listed. Can you improve conversions by moving the price further down the sales path? Would adding trust elements on that page help?

If you ask these kinds of questions as you work through the data you’ll be able to fix the leakiest parts of your online conversion funnel.

To learn more about how to set up funnels in Google Analytics, please read our articled called How to Get Actionable Data Out of Google Analytics.





2. Analyze Your Landing Pages

Once you’ve got funnel visualization set up, your first round of testing should focus on your landing page. Here are the elements you should test:

Headlines – Test different headlines to see which ones attract and keep the most visitors.

Copy – The copy should be full of benefits to the reader…leading off with the most promising. The PAS copywriting formula is the best way I’ve found to write sales copy.

Color – Test different background and text color to improve conversion. I’ve done extensive testing of color on my own blog to come up with the current color scheme.

Font Size – Try different font sizes to see which size keeps readers on the page longer. Also test different font styles to see how they impact conversion.

Purchase Path – Test the path to purchase to eliminate any friction you uncover. Tip: lowering the page loading speed may be your biggest culprit when it comes to abandonment rates. Use Google’s Page Speed Report to test your conversion funnel. You can also uncover the impact slow page load has on conversion during a usability test. Use both in combination to get the optimal purchase path.

Click on this image below to get an even better understanding of what elements you can test on your landing pages:



The one final piece to creating a high-converting landing page is to limit distractions. Anything that is unrelated to the focus of that page should be cut immediately.





3. Analyze Your Sign Up Forms

The next interaction step to test is your sign up forms. The common elements to test are as follow:

Headlines – Try out different headlines on your sign-up form and test their effect on sign up pages. Don’t take this lightly. You can boost conversion rates by 29% alone by testing different call-to-action headlines.

Text Box Words – Make sure the words you use are not confusing…otherwise you could drive away visitors.

Text Box Placement – Test how you position the text boxes on the form to see which arrangement produces the best conversion.

Text Boxes Per Page – Analyze your completion rate to see if fewer boxes will boost conversion rates. Keep in mind, fewer text boxes don’t necessarily mean more conversions. You can actually increase back-end conversion by collecting more information.

Captcha – These filters are great for keeping spammers out, but when they are too difficult to read…conversions can drop.





4. Test Your Trust Elements

Trust on the web is huge…especially when you are trying to get people to give you their money. This is why you have to build trust into your landing page and throughout your online conversion funnel.



At minimum, you need these elements:

Guarantee – Will you give them their money back if they are not satisfied? Will you do this in 30 days? 60 days? 90 days? Test different variations to see which pulls the best.



Better Business Bureau Logo – Applying for a BBB logo for your site is pretty straight forward. You have to be a member of your local chapter and pay somewhere around $400/year…but that’s inexpensive when it comes to putting your customer at ease.



VeriSign Logo – The VeriSign logo is an internationally-recognized symbol that your online check-out process is safe and secure. That’s huge. Try to do business without that seal and your online conversion rates will plummet. You can get a VeriSign seal for less than $300 a year.



I think for the best results you should use all three of those trust elements above, but that doesn’t mean you shouldn’t do a few rounds of A/B testing, experimenting to find out which logo is the most effective. You’ll especially want to find out the best position of each trust element on the page.



Zappos is a company that uses trust symbols and guarantees really well. On every page they have what we call “The Extreme Guarantee”:



The Zappos footer also has all the relevant trust symbols:



Be sure to read our article 10 Ways to “Guarantee” More Sales and Conversionsfor more information and examples on this topic.





5. Test Your Email Conversion

Building an email newsletter list is an essential part of your online conversion funnel.



Test these elements in your emails:



Open Rates – Your email newsletter will live or die based upon your subject lines. Make sure you are using the most compelling copy. Test different variations constantly to raise conversion rates.



Copy – Test short or long copy in the email, preferably finding out if the bulk of your audience wants to click through and read everything on your site.



Click Throughs – Open rates alone won’t tell you the whole story. Embed links throughout the copy to see if more or less links drives people to click. And test different anchor text copy.



Plain Text vs. HTML – Find out if your audience prefers email in plain text or HTML based. A great way to find out is to use a simple survey.



CTA – Test different calls to action to see which drives more traffic to your site. Also test the position of these CTAs on the page.



By the way, check out my article 5 Reasons Why You Can’t Make Your Email Marketing Work for more advice on this topic. Also, KISSmetrics provides the tools to measure all of these elements in your email campaign.



Let’s shift gears now and talk about how you can test these different conversion funnel elements.





6. Combine Usability And A/B Test Results

Talk to most people about metrics and they’ll either talk about user testing or A/B testing…but never both. That’s unfortunate because they work together perfectly.



Let me explain.

Get qualitative feedback from users during a usability test – Your first step should be a usability test. This user test can be casual, but tightly-focused…as in just have them focus on the page where conversions matter the most (sign up form). You would be surprised how much insight you can get from feedback from a very small group.



Analyze your user testing results – This user feedback should help guide your design of the page in question. You should walk away with three or more design alternatives.



Run your A/B testing – Once you have those alternatives and insights from user testing, start you’re A/B testing. Your A/B testing should help you narrow down your choices between design alternatives and on-page elements, eventually landing on the most optimum performing page.



In the end, A/B testing will confirm your usability test insights…giving you more effective results than if either were used alone.



If you’re new to usability testing, here are some resources to check out:

Usability 101: Introduction to Usability – By Jakob Neilson, godfather of usability.

Seven Common Usability Testing Mistakes – By Jared Spool, easily one of the smartest guys doing usability work.



Usertesting.com – For $39 you get a video of a user talking about your site as they work through it, and written summary of problems they encountered.

And if you’re new to A/B testing, check out our KISSmetrics A/B testing guide.





7. Run A Mom Test



Okay, so it doesn’t have to be your mom…but make sure it isn’t one of your internet savvy friends. In other words, it should be a normal web user.



Call this person and ask them to find your site on Google and complete the conversion process. Make sure you tell them what you expect users to do at your site.



Stay on the phone and ask them to talk out loud as they do their search. Record the phone call and take notes until they are finished.

Make tweaks to your conversion process and repeat the process until people can work through the process without abandoning the process.





8. Run An Online 5-Second Test

Finally, when it comes to creating a well-built conversion funnel, you need to keep things simple. Eliminate all distractions.

I’ve found that by running a simple visual presentation you can learn a lot about the simplicity of your funnel.



This is where the five-second test comes in.

Vinod Khosla originally created this test to show executives and VCs that slides thick with information would fail. The test involved nothing more than putting a slide in front of someone and then pulling it after 5 seconds. Khosla would then ask the tester to tell him what he remembered.



The lesson was always the same…less is more. The 5-second test has been adapted online to help you test web designs with a tool like fivesecondtest.com.



You can use this to test wire-frames, mock ups and call to actions. And it’s easy to get started:

Get a free account.

Upload a screenshot of the web page you want to test.

Let members test your web page.

See your results.



You can see in the red outline that in a quick glance what most users were seeing as the most important goal of the web page. In this case it was “download this.”



Is that what you want to be the main goal?

If not, then you need to change the design and re-test. The tool is free so you can do this as many times as you want!





9. Take It To The Next Level By Tracking Individual People

In this post we talk about how to optimize your funnels in Google Analytics for maximizing conversion. You can take it a step further by using KISSmetrics to track individual people. With KISSmetrics you can dive deeper and witness more actionable data at a more granular level. This will allow you to make even greater gains towards improving your conversions.



As always we’re more than happy to educate you on how much further you can take your conversion optimization with KISSmetrics. Feel free to contact us to learn how you can do just that.





Conclusion

When it comes to creating a well-built conversion funnel, you should be testing all the time. You’ll get plenty of actionable data that will help you improve your conversion rates.





https://blog.kissmetrics.com/guide-to-optimizing-funnels/


Friday, 18 December 2015

10 Industries That Are Changing Because of Data | Import.io Enterprise

10 Industries That Are Changing Because of Data | Import.io Enterprise





10 Industries That Are Changing Because of Data





The migration to big data is quickly becoming a race: keep up or shut down. Whether you’re a standalone brick-and-mortar shop or the next Silicon Valley unicorn, there’s an emerging urgency to adopt big data for all of your major business decisions. But it’s not just because the information is valuable, rather the information is literally changing the way industries operate.



Last October, Accenture published a groundbreaking study in partnership with GE that set much of this urgency into motion. Among the key takeaways, this report found 89% of respondents agreeing that if companies don’t adopt big data as part of their strategies within the next year, they risk losing their market share, and their momentum.



While this study focused mostly on the Industrial Internet and healthcare, the conclusions were not limited in their application.



Almost a year later, here are ten industries that are being radically transformed by the adoption of big data. Even if yours isn’t on this list, take heed of companies within your circles who resist this very necessary change.



The fact is: 84% of enterprises see big data analytics changing their industries’ competitive landscapes in the next year.



So even if your industry isn’t on this list, take heed of companies within your circles who resist this very necessary change.







10. Energy



Technology and the Internet of Things are already totally revolutionizing the energy industry. On a micro level, look at an appliance like Quirky’s Aros. It uses smart data to learn your habits, and keep your home cool and regulated at a temperature you prefer, without wasting nearly as much energy.



On a macro level, there are smart grids. Pilot programs popping up across the country are aggregating massive amounts of data on how we use energy, which can help us to produce smarter habits, reduce carbon emissions, and develop ways to reduce energy where its use is unnecessary.  



9. Real Estate





Real estate drives the market. In 2008, we saw the very negative side effects of that, but it also works on a very small, personal scale: real estate is a major personal investment that can be extremely lucrative, or a devastating blow—and much of that is just calculated risk. If only there were a way to curb that risk…



Enter big data. There are three different levels at which big data in real estate can both improve quality control and reduce risk. First, it changes finance. Using data, you can assess the quality of the building and longevity its structural integrity. Is it financially reliable? Do the required loans make sense?



Second, it produce smarter sales. You can gauge a larger percentage of customer interest at the same time, making more intelligent offers and closing deals faster. And third, it improves building management. Find and make repairs faster, incorporate smart-home technology, and reduce liability for accidents.



8. Insurance



The insurance industry has been more in the spotlight in the past five years than almost ever before. That’s due in large part to a presidential piece of legislation that you avoid bringing up at parties—but good or bad, it’s brought attention to the system’s inherent flaws and complexities.



Insurers have to look at policies from almost every angle: what’s best for the provider, what makes sense for the consumer, how to appeal to the broad consumer market, and how to reduce overall risk. In that regard, the insurance industry is the perfect candidate for a big data overhaul.



And it’s already happening: big data is being used to provide faster analysis for claims, discovering ways to provide more targeted programs for individuals, reduce fraud, and even provide methods to keep patients healthier.



One auto insurance startup, MetroMile, offers “pay as you go” insurance, where drivers pay by the mile. The company claims that this saves low-mileage drivers an average of $500 a year.



All in all, big data analysis in insurance can radically change a system that’s already being radically changed.



7. Music





You’ve probably read a lot about the gains and failures of companies like Spotfiy and Tidal in recent weeks. While music sales have plummeted in the last decade, artists and record companies are scrambling to find ways to make music profitable for everyone—including artists—without just jacking up the price of concerts and forcing musicians to go on global stadium tours 364 days per year.



The problem is they haven’t quite figured it out yet. Taylor Swift refuses to be a part of Spotify until they can figure out how to pay artists a substantial wage for their streamed music—and nobody wants to pay Jay Z $20/month to listen to “Hi-Fi” music they could listen to on Spotify for free.



One potential solution lies in advertising partnerships. Big data collected from studies on social media—specifically instagram—show how branded partnerships between brands and artists, namely photographers, can produce lucrative results for both while still keeping the artistry intact.



Because social media and music streaming sites are already so closely linked, the data for listening demographics is readily available, and record labels could—and have—begin to use it to make strategic partnerships with brands that could pay their artists for branded music and music videos.



6. Aviation



Big data is busting at the seems with information on the aviation industry—specifically commercial air travel. With the amount of data collected on commercial flights annually—even daily—there is plenty to be utilized that could is radically transforming the way airlines can make itineraries, create incentives, and even increase sales.



To start, there’s quality control. The massive amounts of data collected on flights, a study from IBM argues, can radically reduce the costs that airlines spend on equipment and repairs, which will undoubtedly make them more competitive, helping to reduce ticket costs, ultimately driving sales. Furthermore, flight data can help to reduce time and delays, as well as improve baggage handling, and even generate smarter recommendation for future travel and customer retention.



5. Telecom



If you watched the documentary Citizen Four about the NSA whistleblower Edward Snowden, you probably already have some idea of how much data is associated with the telecom industry. Using what’s called metadata, it’s plausible that a simple Instagram post can give away your location. But in this case, that’s not why data is transforming the telecom industry.



T-Mobile combined all of their customer datasets, broken up into six categories or zones, to analyze the full customer experience. Ultimately, their analysis lead to a 50% decrease in churn. In short, big data helped T-Mobile figure out what influences a customer’s decision to stay with or leave their telecom service—and they adapted.



4. Consumer Goods



It doesn’t take much to show how big data can radically transform the consumer goods industry—in fact, there’s just two words: “Supply,” and “Demand.”



You’ve probably noticed that most coffee shops are converting their POS systems from clunky old-timey registers to those suave looking iPad POS systems like Square. Square is a small-scale credit card processing system, which means its aggregating huge amounts of consumer data for brick and mortar shops—and that data is easily available for the standalone shops themselves.



This data translates first and foremost into smarter buying for fluctuating goods and supplies. It can also prepare stores more for influxes of buying, produce a better understanding of consumer demographics, and help shops to run more efficiently. Bottom line, big data produces analytics that are better for everyone’s bottom line.



3. Hospitality



The hospitality industry will almost never die—no matter what shape it takes. People will always travel, people will always want to go on some kind of vacation, it’s just a matter of how, where and when. Some companies rely too heavily on this notion, ignoring changes that the sharing economy, namely AirBnB, brings. But then there are companies like Duetto, who are really starting to make it competitive again.



For hotels using Duetto, they get a massive amount of data on consumer habits that tell them manage distribution, adapt their pricing, and even forecast demand. People are constantly traveling, so there naturally should be a very heavy bank of data available to hotels, and Duetto makes it extremely accessible and easy to analyze.



2. Gaming





The gaming industry has absolutely exploded in the last decade. As Halo 5 gets released this fall, it joins a series that has produced $3.5 Billion in global sales for Microsoft. The series alone is largely accounted for the Xbox One’s marketability as it struggles to compete with Sony’s PlayStation 4.



But it’s not just these two consoles that hold the gaming world captive. Everything from World of Warcraft to Steam has produced a vibrant, lucrative industry that has billions of loyal fans. Now, the gaming industry has turned to big data to further improve the experience. We’ve come a long way since NES came out a little more than 30 years ago.



Social connectivity and massive multiplayer online experiences leave incredible amounts of data that the industry can use to improve the overall customer experience. With expansions and instantly downloadable content and updates, its easy to take feedback and turn it into almost immediate changes for an better in-game experience.



1. Data Storage



Finally, there’s data storage. With the amount of data out there, and the way that it’s so dramatically changing nearly every industry, there needs to be a way to store and warehouse data that doesn’t require massive servers or clunky CRM programs.



And that’s where a program like Box comes in.



They’re hoping to completely overhaul the way that businesses store and use data, making it much easier for companies of all sizes to access and benefit from their newly found data.



Whatever industry you’re in, the landscape has changed. Find ways to break down the barriers between your industry and its valuable data, or find yourself becoming one of the companies that falls behind.