Big data, as the name implies, is information, facts, and statistics collected from various sources and used for reference or analysis. This data can be further analyzed to show human behavior, interactions, and interests. Big companies like Amazon, Netflix and so on put a lot of IT investments into getting big data and using it to improve customer experience on their website.

Data is pulled from sources like social media, website login and interactions, web browser activities and so on, collated and used to create a better picture of who the customers are and their peculiar needs. This picture created, with the big data, would be used to create a digital marketing strategy that the business would use to drive its marketing or sales goal.

The following are some of the ways big data can be used to plan a digital marketing strategy that will help a business get more traffic, get more leads and grow. They can be implemented with the help of a reputable digital marketing agency.

Generating traffic with good content

With big data, businesses can predict consumer reaction to a new or existing product or service. Businesses can predict possible keywords consumers are likely to use when searching for the kind of product or service that the business has that would meet their peculiar need.

Creating good content that is SEO friendly would require that all possible keywords predicted through the big data should be creatively inserted into the content, such that when people search for something using that keyword they would be directed to the content through search engines.

Attention-grabbing marketing designs

Whether the business decides to use a simple flyer, gif flyer or video it must be able to get the attention of the targeted audience at one glance.

Analytics pulled from big data can help businesses be more proactive about creating designs tailored to the interests, needs, and preferences of the targeted audience.

These days, marketing design or branding is no longer about how business should project their products or services to the public. It is now about how businesses can attract a specific target audience to a specific product by tailoring it to their needs.

This implies that a business might have multiple marketing designs for the product or service that has been creatively tailored to the various needs of the different target audience that the product or service appeals to. In other words, using marketing designs to speak the language of potential customers that will prompt them to buy the product or service.

Timely content or marketing design distribution

No one likes to get to a party after everyone has danced their hearts out, eaten, drank and left. Timeliness is key when creating a successful digital marketing strategy.

After spending hours creating good content that should generate traffic and good marketing designs that should also convert traffic leads to sales, all could be a futile attempt if all these are pushed out to the target audience at the wrong time.

Another amazing benefit of using big data to plan a digital marketing strategy is that businesses are able to understand the possible times that people are likely to engage with content distributed either on blogs, emails, social media and even with paid advertising contents.

Optimized pricing and demand

Businesses can only grow when they are making sales and sales is possible when they are able to manage the sensitive line between demand and pricing.

Big data allows business to analyze the buying capacity of each consumer as well as products or services in demand. With this, business escan better plan and focus on a digital marketing plan for a product in high demand, and also use prices that fit the buying capacity of each consumer in order to get their desired sales target. Rather than lose potentials sales to another competitor with the same high demand product or service that is better priced.

Also, businesses can become more mindful about highly demanded products or services to ensure they never run out of such products or services.

Personalized promotion

Promoting a product or service has been taken to a whole new level with big data. With relevant predicted analytics, businesses can promote a product or service to a consumer, hit all the right emotional buttons that would make them click the action button that will lead to sales. For example; A personalized promotion like a personalized gift; the exact feeling one gets upon receiving personalized gift completely overshadows a generalized gift box. It is that feeling of being special, being understood and being put into mind that makes people follow through with the action required for every promoted product or service, whether on social media, business website or other promotion or advertising platforms.

Decreased bounce rate

It is impossible to convert a good traffic to lead and then to sales if the bounce rate on the business website is too high. This implies is a there is something on the website or about the website that keeps putting people off.

Big data allows businesses to track bounces rates, assess the behavior of traffic inflow and outflow, and make adjustments where necessary to ensure that the traffic gotten is able to stay long enough to get desired website click-throughs and conversions.

Continuity is key

Asides the numerous benefits of big data, one of the disadvantages is that it changes a lot. As earlier mentioned, big data is a predictive analysis which gives businesses the advantage of being preemptive of the needs of their target audience to get the desired sales target.

And the truth is that people’s needs would always change from time-to-time. A young man can become a father tomorrow, or a trying-to-conceive couple can suddenly be expecting tomorrow, and this automatically changes their needs and makes whatever data that business has about them obsolete.

A good digital marketing strategy must give room for such changes by constantly updating its collated big data, and keep testing the various marketing plans with the most recent analysis of data retrieved in order to achieve desired objectives.