How Big Data Analytics Optimizes your Online Marketing

Mar 27,2019 by Parul Singh
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Do you know how much data we generate on the internet everyday?

According to the latest statistics, 2.5 quintillion bytes of data is created each day. Mind-boggling, isn’t it?

So where does all this data come from?

Every minute:

  • 3.6 million searches are conducted on Google
  • Instagram users post 46,000 photos
  • Netflix users stream 69,444 hours of video
  • 103,447,520 spam emails are sent
  • Spotify adds 13 new songs
  • Twitter users send 456,000 tweets

This colossal amount of data is a treasure trove formarketers.  It can provide eye-openinginsights on internet users: what are their interests, what kind of connectionsthey have, what products or services they are looking for, how much time theyspend online, which social media channels they are active on and so on.

Whether you own a start-up, head the marketing department in an enterprise or intend to grow your Youtube channel, your goal should be to milk the maximum benefit from this data. And this is where Big Data analytics comes into the picture.

There are many ways in which you can optimize your onlinemarketing efforts using Big Data analytics:

You can segmentcustomer data for a more personalized experience

Think of the days when marketing meant creating captivatingads for television, print media or billboards that targeted everyone under thesun. With changing times, this one-size-fits-all approach has become obsolete.Marketers have switched to a more customer-centric approach.

Today they try to connect with a specific target audienceand win them over by catering to all their needs and interests.

Big Data analytics helpsyou collate data from different sources such as social media channels, user browsinghistory and transactional history. You can segment this data and decide whichgroups of users fall under your target audience.

Deciding the right target audience can go a long way inoptimizing your marketing efforts.

Big Data analytics can segment customer data to provide a more personalized experience.
Figure 1: Big Data analytics can segment customer data to provide a more personalized experience.

You can segment online data in several ways:

Internet activity:You can segment users on the basis of their browsing history, transactionalhistory, call data, mobile data, etc.

Social network profiling:  You can segment users on the basis of theirsocial profiles e.g. their profession, groups or communities they are a partof.

Sentiment data: Userscan also be segmented on the basis of their likes, comments, reviews onproducts/services, satisfaction levels with respect to a product/service.

Netflix can be cited as a classic example when it comes to segmenting user data. Netflix uses a recommendation engine for suggesting content based on the behavioral interests of a customer. Netflix has segmented millions of its users around the globe by creating 1300 taste communities that go beyond demographics to decide on the content to be suggested.

Using such a recommendation engine helps Netflix multiplythe number of potential interests that might be effective for engaging acustomer.

You can createCustomized Marketing Campaigns and track their success

Big Data analytics can help create customized marketing campaigns
Figure 2: Big Data analytics can help create customized marketing campaigns

Big data gives you a tremendous opportunity by providinginformation about specific groups of prospects. You can identify these groupsand tailor your marketing campaign accordingly. You can, for instance, create ahighly personalized ad copy, sale offer or landing page.

Imagine you are an online retailer selling leather goods.You analyze online data using Big Data tools and identify two groups ofprospects, one group having working females aged 30-40 and another group havingmales aged 25-40.

You want to reach the target audience through email marketing.Since you have already identified your target groups, you can tailor an emailcampaign specific to each group. You can sub-divide a target group further and createa highly personalized email copy specific to each sub-group.

You can go a step further and create a series of curatedemails triggered by user behaviour. E.g. if a user opened and read your first(welcome) email, you can send a follow-up mail briefing him on the company andits offers.  

If the user makes a purchase, you can send him a mailsoliciting feedback on the product/service. If the user visits your website,adds products to his shopping cart and then leaves without completing thepurchase, you can send an email reminding him to buy and even offer a discountto incentivize purchase completion.

With Big Data, youcan achieve the degree of customization you want in your marketing campaigns.

You can also visualize and analyze the results of your past campaignsto understand what works and what does not. For example, if a particular targetgroup does not respond to your emails, you can try other methods to convey yourmessage.

You can harness thepotential of mobile marketing

Big Data analytics can help you harness the potential of mobile marketing
Figure 3: Big Data analytics can help you harness the potential of mobile marketing

Today mobile has become the key source of accessing the internet. More than half the internet traffic comes from mobile devices. It, therefore, becomes imperative that you harness the potential of mobile to reach the intended audience.

Mobile provides a great level of personalization with appsand real-time user information; this provides a whole reserve of valuable userinsights.

You can tailor yourmessages, promotions, offers, products and services based on user location,preferences and context.

In order to execute such highly personalized and targetedmarketing, you would need a high level of analytical power and a huge amount ofcustomer and device data. Big Data makes such highly targeted andindividual-centric marketing possible.

You can harness the power of Big Data platforms like Hadoopto capture and exploit real-time user information. Real-time analysis helps youto quicken decision making and respond to changes in marketing initiativesimmediately.

For example, if you are an online retailer, you can tailoryour mobile ad-copy to showcase the products available in the target user’scurrent location.

Also Read: How can Big Data solutions transform the oil and gas industry?

You can channelizeyour SEO efforts

Big Data analytics can channelize your SEO efforts
Figure 4: Big Data analytics can channelize your SEO efforts

In this era of cut-throat competition, it is imperative thatmarketers feature in the top search results for any relevant searches made onGoogle or any other popular search engine.

And that is where Search Engine Optimization or SEO comesinto picture. But SEO has its own set of issues.

SEO is free, so everyone including your competitors will tryto optimize their content for search engines. Besides, it is constantlyevolving and is highly context-dependent. So you need to always tailor yourcontent to meet the needs of changing Google algorithms.

Big Data analytics provides insights on how you can tailor your content and channelize your SEO efforts.

You can use Big Datatools to track and analyze any keyword. You can compare keywords to find whichkeywords achieve the desired result and which do not. You can also study howbacklinks and on-page optimization affects your visibility in search results.

Big Data also provides access to several optimization tools that can optimize web pages to maximize conversions. You can use A/B testing tools such as Optimizely and Google Optimize to test the different versions of a webpage and find out what works and what doesn’t.

You can even carry out in-depth competitive analysis to findout what competitors are doing in terms of keywords, how you fare in comparisonto your competitors on a particular keyword and where there is scope forimprovement.

Also Read: ALook at the Role of Big Data in SEO

You can choose theright design for your webpages

Big Data analytics can help you choose the right design for your webpages.
Figure 5: Big Data analytics can help you choose the right design for your webpages.

Once you have optimized your content to fare better insearch results and begun to gain more visitors, the next step would be toensure the best user experience for any visitor. Great website design iscrucial for improving the functionality and visual appeal of your webpages. Usersvisiting your website can easily search what they are looking for. They alsoend up spending more time on your website. This significantly improves theirchances of getting converted.

Big Data analyticscan help you improve your website design and enhance user experiencetremendously.

Big Data can help you access tools such as heat maps thatmonitor your website content in real-time. Heat maps can track a visitor’s eyesand mouse to understand what is drawing his attention and what is not (i.e.needs to be changed). For example, if visitors are taking time to figure outwhere your CTA button is, you need to change the placement of your CTA button.

You can also leverage traffic analytics to incorporatenecessary changes in the website.

You can examine page views, visits, average visit duration,unique visitors, exit rate and bounce rate for your website. This helps youfigure out which pages or content are capturing user attention and which onesmake users leave the website. You can monitor website traffic in real-time toincorporate immediate changes.

You can also use site search analytics to find out whatvisitors are searching for on your website. If a visitor searches for somecontent and gets no result, he will most likely leave the website.

Big Data helps you analyze site search data to make necessarychanges on your website so that your website provides what visitors areseeking.

Conclusion: BigData analytics is a powerful tool every marketer needs to have in his arsenal. WithBig Data analytics, you can optimize your online marketing efforts: you can effectivelysegment your data, run personalized marketing campaigns, harness the potentialof mobile marketing, channelize your SEO efforts and choose the right designfor your website.

To read more about the emerging trends in Big Data, click here.

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Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. I had done Data Science course from TGC India. They offer a variety of tutorials covering everything from the processes of Data Science to how to get started with Data Science.


Thanks for sharing your valuable content.

Manisha Srivastav

This post is very nice, thanks for sharing this post.

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