Our mobile devices have become an extension of ourselves. We sleep next to them and bring them everywhere. They are the last thing we check at night and the first thing we see in the morning. Brands and marketers, however, are still learning how to connect with their customers on smaller screens.
Native advertising (ads that are tailored to the look and feel of their surrounding content) is a popular solution, and sponsored stories, in-feed editorial units and News Feed ads, have found their way to smaller screens.
Suffice it to say, we have come a long way from the age of pop-ups and flashing banner ads. Over the past few years, brands and agencies have developed an expertise in selecting ad formats that deliver on tangible goals. Native advertising stood out as a top performer because it is non-interruptive and opt-in.
According to the Mobile Marketing Association, users spent 40 percent more time interacting with mobile native ads than with traditional ads on mobile, and average brand recall is twice as high with native ads.
What is a filter bubble?
I am a fairly liberal individual. As far as political leanings I tend to be Democratic leaning, no surprises there. And the presidential elections like the one this year make it even easier to be democratic leaning for an individual like me.
But at the same time I do honestly believe that the true conservative viewpoints have a lot of value and have managed to push our country forward. At the very least, I like to read about these viewpoints, seemingly contrary viewpoints, to understand the philosophy that has contributed heavily to the success of our nation.
But lately with the abundance of information, I have noticed that I get my news feeds more from social media sites and digital news aggregators rather than the actual journalistic sources. As this phenomenon consumes our daily lives, I have noticed that a lot of the stories covering the contrary viewpoints have disappeared from my feeds. I have put myself in a bubble of information that supports my viewpoints, and as a result, rather than being more pragmatic by reading about all sides, I have started to become more ideological. This is called a filter bubble, a bubble created by the filters around the choices I make.
Why do filter bubbles exist?
Once we created the internet, the way we have, filter bubbles were inevitable. Most digital sites and social media sites only benefit from having greater number of eyeballs, meaning viewers of these sites. While the internet was created under the principles of democratizing information - creating greater and faster access to information, it never really solved the problem of how to manage this constant abundance of information.
The way it was resolved was through the creation of social media and aggregator sites (eg Huffington post), that can then use machines and algorithms to find the information best suited to an individual and as a result help us consume the most relevant information. How did we manage this before social media? We talked to our friends (real life friends as opposed to the 1000 facebook friends I mean), neighbors, other parents at kids’ schools, even water cooler conversations at work. So what has changed? None of these folks were getting paid for sharing information.
But social media or aggregators survive by commercializing their business through advertising. And they make more money when they can keep people on their sites longer, as opposed to provide unbiased information. To achieve this these sites use machine algorithms that figure out the most desirable stories, as opposed to the most informed stories. Commercial pressures to sustain their revenues through advertising have managed to create filter bubbles.
So what if filter bubbles exist
Some of the issues are obvious. Filter bubbles have made us even more seperated our ‘physical’ neighbors. We don’t discuss issues openly anymore in person. Its is far easier to discuss them online with like minded people. But as a result we have started segregating ourselves rather than learning to have a dialogue with contrary viewpoints and learning to co-exist.
This aspect has been discussed on TV and radio a lot especially in the backdrop of elections. But even more critical, we have now started finding physical neighbors based on like mindedness of social views. And as a result our neighbors in real life are people that we would want to connect with in the digital life. This has impacted in creating a more polarized nation, one of the reasons why only 7 states matter anymore in presidential elections.
At an even more extreme, filter bubbles have helped consumers (of the internet) find a place to collect others with weird viewpoints, no matter how extreme or out of the commonly held believes folks have. As a result, we have helped these consumers of internet feel good about being weird, feel proud about being weird. This in my opinion will certainly help create more extremism in future generations.
How do we get out of these bubbles?
There are a few levels at which we can process this information to avoid such bubbles. At an individual level, it is important to make more attempts to include more contrary viewpoints in our life, be it around politics or dietary habits. Discussion alone will lead to the growth of our society.
But as a society we need to strive to create better internet. Hold aggregator sites and social media sites at higher standards. If they are going to be the standard bearers of news, they need to be held at certain standards. And this will allow for our society to progress in a more positive direction.
About the Author:
Amit Phansalkar is a Tech Entrepreneur, Data Scientist, and Evangelist. He is currently the Co Founder at Netra Systems Inc, Partner at sostec.io, and Co Chair, I-COM Data Science Board. Previously, he led data science, data strategy and vision for MassMutual Financial. He led the data venture for MassMutual to create a data ecosystem to help drive innovation in products and consumer engagement models. Mr. Phansalkar has more than 15 years of experience driving innovation and building products using big data and most recently served as the global head of data sciences and advanced analytics at Millward Brown Digital. Prior to that, he was a co-founder and VP analytics at Cognika, where he created predictive analytics products utilizing a combination of structured and unstructured data with applications in defense, ad-tech and healthcare industries. Amit is a data evangelist trying to solve complex challenges and representing complexity using disparate data sources.
Walk into any retailer executive boardroom and you are bound to hear the buzzword: customer experience. As technology evolves and creates ever more ways for customers to shop and engage with brands, what defines a great customer experience also evolves. Here are a few of the biggest trends shaping the future of customer experience - and some thoughts on what it all means for you.
eCommerce is a business that often centers around visuals. So it makes perfect sense that videos are emerging as a preferred way to market eCommerce in the digital world.
Video ads are a smart, cost-effective, and efficient method to convey your message to potential customers. From the moment a video ad is viewed, research has shown a measurable lift in ad recall, brand awareness, and purchase consideration.
The same study even showed that people didn’t have to view the entire video to drive their purchase decision, though the longer that people watched the video ad, the greater lift in ad recall.
However, viewing a video ad in full was not required for deciding to commit.
The powers that be at Facebook, YouTube, Snapchat, Twitter, et al. did not create their empires by being oblivious to such trends. Almost one third of consumers are using social networks to research products. This is why these platforms continue to innovate on ways to present advertisers an opportunity to place themselves in front of potential customers with video.
Here are three reasons why video can be a perfect match for your company:
This year’s MITX eCommerce Summit on July 25th is focused on understanding what customers want and delivering them a seamless shopping experience. Defining and delivering a seamless experience can differ by category, however, because the same customer will behave differently depending on what they are purchasing. Combine the complexity of shopper behavior with selling a big-ticket item online, like furniture, and it requires a unique approach. An approach that respects and builds on the importance of brick-and-mortar stores to customers in a retail segment where 96% of the purchases still happen in a store.
Here are some learnings in how we approach turning furniture shoppers into furniture customers:
Join us on June 2nd for the MITX Data Summit! Advisory Board Member, Victor Davidson, VP/Director, Analytics, Research & Technology, Havas Media, has written a blog that provides us with a sneak preview of what we'll be talking about on stage at this event. Register for the Data Summit here.
I’m excited to join the MITX Data Summit later this week. Having attended this conference multiple times, I know the content will be fantastic, and I always come away with some practical insights I can take to my clients. In particular, this year we’ll be talking a lot about building a data driven marketing organization. This is a topic I hear from clients quite often. What is a data driven marketing organization? I think it involves a number of different pieces, but where it differs from a traditional marketing organization is that decisions are made through a test and learn, metrics focused framework. Nearly all marketing decisions can now be made using some type of data to evaluate their successfulness: from creative and media optimization to the selection of a technology stack and CRM tactics.
But what does this data driven framework actually look like you might ask. I work within the DBi Consulting arm of Havas. When we engage with clients, we use the tried and tested framework from the CRM and IT space: technology, people and process. We align each of these in a matrix against data collection, communication and action. In this way, we can help clients understand what technology they need, who will manage it and how it will fit into the larger organization. What we’ve found is that most marketers actually have a strong awareness of the different technologies in the market. For example, when I took a quick poll of my clients, nearly all of them had heard of a Data Management Platform (DMP) and most had a strong sense of what a DMP was used for. Indeed, nearly half of them had already deployed a DMP. I use a DMP as an example because I think this is the type of technology that underlies a truly data driven marketing organization.
Join us on June 2nd for the MITX Data Summit! Advisory Board Member, Christopher Penn, Vice President of Marketing Technology, Shift Communications, has written a blog that provides us with a sneak preview of what we'll be talking about on stage at this event. Register for the Data Summit here.
Join us on June 2nd for the MITX Data Summit! Advisory Board Members, Thomas Hubbard, who is the VP, Head of Global Marketing at Kaspersky Lab, has written a blog that provides us with a sneak preview of what we'll be talking about on stage at this event. Register for the Data Summit here.
Tom Hubbard is the Vice President, Head of Global Digital Marketing at Kaspersky Lab. He is responsible for UX, Media, SEO, Analytics and Web Development, among many other activities, in 200+ countries. Prior to Kaspersky Lab he was the Vice President, Online Marketing at Euro RSCG Edge.
Dave Wieneke is the Digital Strategy Practice Director at Connective DX, a digital experience agency in Boston and Portland, Ore. We help organizations embrace the power of digital, align around the customer, and take control of their digital future. Dave can be reached via email at email@example.com.