28 July 2019

Welcome to the fourth installment of our Blog series on Social media and online marketing

In this blog we will show how the big data companies like YouTube, Facebook, Instagram, Google and others have grown to a larger market capitalization industry than the oil and gas sector. Much like drilling for oil and gas you have to mine big data and for those of you who don’t know how big data works we will provide this brief example. Let’s say you are in a particular industry for example, you own a micro brewery and you want to sell to consumers who like micro brewed beer.

Someone with the resources can target market on the internet and use Social Media marketing. For example, Facebook, YouTube, Instagram or Google and target that exact consumer for micro brewed beer. Not only will they see what their competitors are selling their beer for but they can optimize their pricing so that they can get a large part of that particular industry. In short, big data allows a few players to take advantage of entire industries by marketing exactly to those most likely to purchase micro brewed beer.

But first we should continue our brief look back at the history of online marketing from 2010 to present day.

2010 – present: Marketers find value in native ads
Around this time, a new group of media companies began to emerge. Websites like BuzzFeed and Mashable presented advertisers with new opportunities to connect with their audiences through sponsored content and native advertising.

Advertisers pay to produce articles, videos, and other types of content for news and media sites. The nature of the content itself is promotional, but the format looks less like an ad and more like a regular piece of content on the host’s website. Instead of relying on ads that disrupt their target audience’s online experience, native advertising allows marketers to create promotional content that supplements a user’s online experience. “Marketers interested in targeting ads to specific consumers in an unobtrusive fashion should seriously consider spending some time on native ads.”

Websites that traditionally generated revenue from display ads began to realize that they could create a better user experience by relying primarily on native ads — rather than traditional display ads — without compromising on ad revenue. However, we are seeing more and more companies today focussing on creating quality original content in order to gain market share and they are shying away from Native Ads.

The Future of Advertising
That’s a look back at the history of online advertising — but what about the future?
According to recent data from HubSpot Research, 91% of respondents say ads are more intrusive today compared to just two to three years ago. It’s clear that the future of digital advertising pivots on developing a targeted ad experience that offers consumers relevant content without feeling nosy or invasive. In order to understand the growth and progression of this type of advertising it is important to examine Big Data.

“Big data” is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. “The estimated value for the industry due to digital transformation is about $1.7 trillion. “Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc to create a valuable entity that drives profitable activity; so, must data be broken down, analyzed for it to have value.”

Wikipedia states that Big Data in the analysis of data sets one can find new correlations to “spot business trends, prevent diseases, combat crime and so on.” Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Data sets grow rapidly, in part because they are increasingly gathered by inexpensive and numerous information-sensing internet-based devices such as mobile devices, aerial (remote sensing), software logs, cameras, microphones, radio-frequency identification (RFID) readers and wireless sensor networks. By 2025, IDC predicts there will be 163 zettabytes of data. One question for large enterprises is determining who should own big-data initiatives that affect the entire organization

Nexonta Technologies
On to the Next Level