Brock Lesnar is set to headline ‘SummerSlam’ with Randy Orton. Given ‘The Beasts’ recent anti-doping violation, a loss may be warranted
Think broccoli is simply a harmless, tasty vegetable that’s a good source of fiber and vitamin C? Think again! According to this article, lurking under that unassuming green exterior is a villain capable of masquerading as appendicitis. Apparently, if you somehow swallow a large enough piece of broccoli, it can become lodged in the intestine. The resulting symptoms resemble appendicitis and required surgery for one unfortunate patient (see photo below of the offending floret… if you dare). N
As a marketer, you are always looking to do more with less. You may get the sense that technology can help you do better and you’re right. Follow along as I explain exactly how you can harness this force without writing a single line of code.
1. Do A/B Split Tests and Personalization</h2
You’ve probably heard of all the merits of A/B split testing and of being data-driven, but how can you implement these different tests on each of your pages without consulting the tech team?
It’s easy enough with solutions like Visual Website Optimizer and Optimizely that allow you to drag and drop your changes across the website by simply copy and pasting a snippet of code across your website (or getting somebody technical to help you do that). Both tools allow you to customize your website for different types of visitors, and they’ll allow you to run controlled experiments to see which variations of your web pages perform best.
2. Build Landing Pages
Maybe you don’t want to optimize your website – you want to build some new pages. Maybe it’s a new campaign announcing a new product launch, or maybe you’re running an event you want to collect an email waiting list for. Whatever it is, you’ll need a web page that describes what you’re doing, a landing page. Thankfully, you don’t have to build anything in HTML or CSS. You can use drag and drop editors in Unbounce or, if you’re really looking to maximize conversion, marketing-based solutions like Leadpages.
3. Build Entire Websites
Don’t want to stop at just building a web page? Maybe you want to look to build an entire website for a new product. Thankfully, you don’t have to call a web agency to do everything for you at a high price! You can use solutions like Squarespace or Wix to build everything in your website without a line of code. And if you want to get even more customized, grab a theme from Themeforest and learn the basics of WordPress! You’ll soon be building beautiful websites with layers of personalized complexity–without a line of code.
4. Scrape Links, Content and More with Python (but use with caution!)
This script above will take all the links from a sample page (in this case the Wikipedia page for the Python language)
Here’s the raw script you can copy + paste in Python 3.5 mode:
from bs4 import BeautifulSoup
r = requests.get(“https://en.wikipedia.org/wiki/Python_(programming_language)”)
soup = BeautifulSoup(r.text,”lxml”)
for link in soup.find_all(‘a’):
5. Send Newsletters and Automate Emails
Email is one of the most effective marketing channels out there, and the best for return on investment. If you can get people coming back by filling their inbox with valuable information, you’ve reached marketing nirvana.
Instead of doing all the messy work coding up HTML-rich emails, you can use the drag & drop and email list capabilities of MailChimp. If you want to automate emails a layer beyond, and take people through an in-depth series of automated emails, you could use a solution like Drip.
6. Get Data
Ever needed to take a quick look at certain data, like the demographic traits of a certain country? Need to source the latest financial data? Look no further than Quandl. You’ll be able to find all sorts of data, from the average age of first marriage for women to life expectancy at birth. Best of all, you can export that data directly in Excel, stepping away from all of the code if you needed.
7. Filter Through Data
Most people think of Google Apps as a great way to collaborate with others, but they don’t know about the full power of this suite of tools. Google built a way for you to add layers of functionality on top of their powerful software, allowing you to do so much more with different types of data. Best of all, you can copy + paste pre-made scripts and benefit from the effects without being technical!
Use these scripts for good, not evil.
8. Building Popups and Other Interactive Elements on a Website
Sometimes, you want to add an additional layer of interactivity to a website, whether it’s a popup to highlight a brand new feature, or a walkthrough that will help guide users. Thankfully, with tools like Engage and HelloBar you can add different modals or elements to your website that can help you collect emails, direct traffic elsewhere, or dictate what users should look at in a web page.
9. Dig Deeper into Websites, and See How Your Website Looks in mobile
Most people don’t know about the handy Google Chrome Inspector or its equivalent Firebug on Firefox. While most of the time it is used by developers to spot errors or mock up certain changes in the code, you can use the Inspector to check into the exact URLs of images, and how your website displays on different screen sizes, from iPhones to tablets.
The responsive design tool in these inspector tools will allow you to simulate what your website looks like from device-to-device, a crucial need to see if your website is mobile-friendly. This is a factor that’s critically important for websites with mobile traffic, and one that Google uses to rank webpages.
By harnessing technology, you’ll be at the cutting-edge of digital marketing. You won’t even need to learn how to code to get an awesome array of new powers. Save yourself time and money, and make sure you use your new capabilities for good!
About the Author: Roger is a digital marketer who self-taught himself to code but recognizes when code is useful and when it isn’t. He manages Growth for edtech company Springboard, and will often write about new technologies at his own personal blog code(love). You can find him on Twitter.
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Talk about extreme weather.
The solar system’s biggest and baddest storm, Jupiter’s Great Red Spot, is so loud and violent that it heats up the giant planet’s atmosphere. Above the storm, which has been raging for at least 300 years, the atmosphere is hundreds of degrees hotter than anywhere else on Jupiter. The warmth comes from within, according to a paper published in Nature today.
So Hot in Here
Orbiting hundreds of millions of miles from the sun, Jupiter is about three times toasti
When it comes to better understanding your customers, you likely leverage every possible resource from personas to mapping the customer experience journey. For marketers, big data is a boon – it’s a gold mine of information that, to be sure, requires a bit of digging through the dirt to get to the real treasure.
Big data has been used to tout everything from customer sentiment to fraud prediction. By letting computers do what they do best, it is believed that crunching all that information can lead to some pretty significant correlations – between click streams, geographic location, and even transactional data. Tying it all together helps bring the customer service lens into even greater focus.
With that being said, however, relying too much on big data has its drawbacks. Beyond the fact that we’re just starting to understand what’s out there and how it’s all relatable, big data should not be looked at as a marketing or customer service panacea. In fact, there are a lot of areas where relying too much on big data to better understand your customers can have the opposite effect, like these:
Lack of Availability
Let’s say you’re shopping online for a new pair of shoes. You’re scrolling through pair after pair on your cell phone until you find the perfect pair. Unfortunately, they’re backordered. You want to be notified when more are in stock, but you’re not sure how to do that. You tap for customer service. You’re invited to type in your question and see a list of canned solutions. That’s a bit too cumbersome so you look for a way to contact a representative.
Instead, you’re asked to submit your question to a helpdesk or online community. Trying to fill out a trouble ticket, you see that the service isn’t compatible with mobile. You give up in frustration. Shortly thereafter, you get an email reminding you about the item you were interested in, and asking how the company can do better.
If you’re visualizing a cartoonish response of steam coming out of your ears from anger and frustration, now you can imagine the limitations that big data has. Perhaps the only retailer to truly get a handle on big data at this level is Amazon, and they’ve been able to integrate unimaginable reams of data seamlessly while being able to grow and scale their company with consistency.
When the service you need isn’t available, you grit your teeth for long wait times ahead, and test your patience with the poor rep that has to look up the details of the backordered product in a sea of potential choices. The point is, Big Data shouldn’t just be pored over by analytics experts, but made available to everyone at every tier in the organization.
Rush to Judgment and Unrealistic Expectations
Big data is the foundation of a perilously-positioned scale. On one end, you have the camp that’s rigid and inflexible. Things have always been done a certain way, and the deluge of big data isn’t going to change that. These companies risk getting outmaneuvered by their more proactive competitors. They make hasty decisions that may not always be backed by data science, and then backpedal when things go south.
At the opposite end, there are those who are positively drowning in analytics. They’re so swallowed up by data that they hesitate to make any decision without consulting the numbers like some kind of oracle. They shrug off their “gut feelings” or intuition because the data doesn’t account for that.
There’s no doubt that big data is changing the way we market, but as many industry trends go, it can easily be blown out of proportion into something it’s not. People are complex, self-serving, habitual, ever-changing creatures. Trying to make sense of that is not something that can be done overnight. It requires careful planning, an understanding of the different “pools” of information the data is drawing from, and one’s own understanding of their target market to fully grasp.
Otherwise you end up with complex, complicated decisions that are impossible to predict and frustrating to implement.
Data Modeling Difficulties
In order to get the most out of big data, it has to be modeled in order to bring the value it’s so often associated with to customer service, which in turn trickles down to the customer. At its core, Big Data is raw, unfiltered and largely noise. It’s not structured, organized or clean. The only system currently out there with the power to tackle such large scale information is Hadoop, which has been around since the early 2000s.
Hadoop is the closest thing available to enterprise-grade big data analytics. Image source
Currently there is no user friendly, on-demand and easily implementable enterprise data modeling system. There are many ways to tackle the big data noise, however, but many data models hit common obstacles including not being able to scale accordingly or organize the data in a sensible way, and still fewer work with existing analytics platforms and CRM information.
Just having the data is no longer enough. Making it accessible and understandable to everyone is the challenge today’s modeling apps have to fix.
And finally, let’s face it, we’re only beginning to scratch the surface of what’s out there. And yet it keeps growing and growing. Costs go down, availability of information goes up. Despite all its lucrative potential, big data can’t replace people. When insights are gleaned from data scientists, they’re passed on to managers and then employees. If there’s not a process in place to better understand and leverage the information you continue to gain, it’s practically worthless.
The bottom line with using big data to better understand your customers is that there’s a lot of expectations of what it can or cannot do. With such a wave looming overhead, it’s easy to want to stand back and wait. But just as the internet itself was once looked at as being “just a fad”, so too is big data poised to completely change what we know about our audience.
Being able to turn this information into insight is a challenge – but one worth tackling. We all know what happens when there’s a rush to implement without a goal in mind. Knowing the issues ahead of time can help you plan out a strategy that takes all of these points into consideration as you all work together toward a common goal – making sure every customer is exceedingly satisfied, again and again.
What are Your Thoughts on Using Big Data to Better Understand Customers?
Do you think big data is still in its infancy with regard to its use in customer analytics? Or do you think we simply lack the tools and understanding to make the most of it? What tools are you currently using to make sense of the data you collect? Share your thoughts and comments with us below.
About the Author: Sherice Jacob helps business owners improve website design and increase conversion rates through compelling copywriting, user-friendly design and smart analytics analysis. Learn more at iElectrify.com and download your free web copy tune-up and conversion checklist today!
Green Bay Packers Rumors: Aaron Rodgers Breaks Silence About His Brother Jordan Appearing On 'The Bachelorette' [VIDEO]
Aaron Rodgers has broken his silence over his brother, Jordan. The quarterback, who apparently has a slight rift with his brother, broke his silence
It is notorious for its role in the expansion and continuation of American slavery, and for its adverse health effects. The latter includes cardiovascular disease and various cancers, including lung cancer, the most common malignancy, underlying millions of deaths each year.
Health officials, attorneys, and activists have spent decades targeting its industrial cultivators in an effort to limit its advertising and sale, particularly to minors.
We are talking about tobacco. If at a frust