Combining Content Marketing with Big Data

‘Content is King’… goes the famous phrase that keeps being tossed recklessly from one marketing department to the next. However, the real question is, how big is this king in the digital marketing room? Oooh! And at what point do we say that content is king?

Well, marketing is all about numbers in most cases. And statistics indicate that Americans use more than 4,416,720 million Gigabytes of data every minute, with YouTubers watching 5 million videos every minute.

These insane figures paint an apparent reality of the magnitude of online content available. But, that’s not all; 90% of this data is attributed to digital marketing in one form or another.

This underpins the importance of content in the digital marketing sector, and if produced meticulously, it can be bestowed royalty with less resistance.

What happens when content marketing strategy meets big data approaches? With such vast content being produced daily, applying content marketing with big data approaches becomes an absolute game-changer. Firstly…

What are big data technologies?

Big data technologies utilize complex software in data handling processes such as;

  • Data mining
  • Data sharing
  • Data visualization
  • Data transformation

The tech collects data and churns it into meaningful information that marketers can easily interpret.

How can you use big data technology in content marketing?

1. Data transformation

Content marketers often produce tons of content only to end collecting superficial data from the process. For example, data collected from key performance indexes (KPI), which mainly include the number of visitors to a website or the number of email subscribers, is nothing but a child’s play compared to data that can be mined through extensive data analysis.

Big data technology dissects all aspects of your marketing strategy and yields a clearer view of all performances. Additionally, you can track performance in near real-time hence making tweaks and fine-tunes where necessary.

2. Content is an art; big data gives you the science

Content analysts have the task of converting the results generated from the content (art) into actionable scientific data.

Today, big data technology has taken over the role of analysts and provides quick, efficient, reliable analysis of a content marketing strategy. For instance, you can get consumer demographics and market trends with just one click, which gives you the necessary precision when selecting a target audience.

3. Big data is leveling the playing field for all brands

Gone are the days when big monopolies took advantage of the enormous marketing budgets to secure customers over regular businesses. Big data technologies enable small businesses with well-established content marketing ecosystems, well coalesced social media channels, and online platforms to integrate their content marketing strategy into a massive campaign.

Successful giant content marketing campaigns give small businesses a competitive edge over corporations in the sector.

Content marketers can utilize technologies such as AI to prevent content duplication across various platforms while optimizing the posts simultaneously. Furthermore, AI enables you to create the right content for the right audience as the search engines no longer reward content volume but quality.

Wondering what big data technologies you can incorporate into your content marketing? Here are the top big data technologies for content marketers;

Top big data technologies for content marketers

1. Artificial Intelligence (AI)

Artificially intelligent machines and software are designed to carry out processes that would have otherwise required human intelligence. Great examples are SIRI from Apple and Tesla’s self-driving cars.

How can this technology be incorporated into content marketing?

AI is fast replacing content writers as new AI technologies such as Jarvis can generate marketing content with human precision. This has drastically reduced the cost of content production.

Another excellent example is the use of chatbots on websites to give instant customer support during out-of-office hours. They keep customers engaged and, in some cases, close deals in the absence of a human assistant.

Other functions of AI in content marketing include custom news feed generators and predictive marketing intelligence.

2. NoSQL Database

NoSQL or non-relational databases facilitate the accumulation, storage, and retrieval of data. They are helpful in web content analysis as they provide real-time data analytics.

NoSQL stores unstructured data from different sources and delivers faster performance with a high degree of flexibility. Examples of NoSQL databases that can be used in content marketing include MongoDB and Cassandra.

3. R Programming

R programming software should be your go-to helper for data analysis, visualization, and statistical computing as a content marketer. This programming language supports an open-source project and unified environments such as Eclipse and Visual studio.

R programming is a must-have tool for marketers. It is user-friendly, can run on any computer platform, and has user-friendly features to help you through your statistics projects.

4. Data lakes Cloud technology

As a digital marketing agency, it is prudent to set up a data lake for your team. This is a must-have technology for marketers as it consolidates and stores data on the cloud while providing cross-channel raw data paths for your team.

You can easily set up a data lake for your agency on Amazon web services, Azure, or Google cloud platforms. These sites allow you to replicate data from different internet sources directly into your data lake from where it can be analyzed.

5. Predictive analytics data manager

Personalized marketing is the key to any successful content marketing strategy. Predictive analysis software, which predicts future behavior, is your magic wand.

How so? The software uses machine learning technologies, statistical modeling, and data mining to predict upcoming inferences based on the available data. Theses predictions could be consumers’ shopping patterns, preferences, and demography.

Quality content seeks to address what the customer is looking for and what is better than having a tool that tells you precisely what the consumer wants?

6. Apache spark Interactive platform

Search Engine Optimization is crucial in any content marketing campaign. Apache spark comes in handy in web development, content optimization, and integration of inbound marketing programs as a marketer.

The tool has many features, including streaming, graph processing, SQL, and machine learning. Additionally, you can pick your ideal programming language as it hosts R, Python, Scala, and Java programming languages.

7. Prescriptive analysis software

A Content marketing strategy can take ages before coming to fruition, and some marketers can run out of patience or set wrong deadlines and expectations. Predictive analysis of significant data software guides marketers on when to achieve set objectives and steps required to complete that.

8. Blockchain technology

Blockchain is mainly associated with bitcoin.

However, as a content marketer, blockchain technology provides a haven for your customer data. Blockchain technology increases security for sensitive data such as client information and financial records with almost impregnable security protocols.

9. Hadoop data ecosystem

Hadoop is a programming framework that supports the processing of big data.  It is an essential tool for content marketers as they can use it to enhance user experience. 

The software monitors all other content marketing programs and customizes necessary content to suit the browsing behavior of this specific visitor. These include retargeting emailsThese and creating personalized ads across all platforms.

Take away

Content marketing has come a long way since the inception of internet websites. Therefore, with two decades worth of data, there is a higher need for better and efficient data mining, analysis, and transformation tools. Big data technologies offer digital marketers the needed data solutions and can be the difference between successful and unfruitful marketing strategies.

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