The traditional way of marketing emphasizes on tracking customers’ behavior. Additionally, it also tracks the returns gained in direct mail campaigns, digital clicking-behavior as well as the time spent on various sites. Big Data’s concept of modern marketing trends is evolving gradually, although they do morph into a challenging mess at times. Marketeers suffer a lot of failures in implementing big data trends, mostly due to its evolving nature.
Big Data refers to a collection of very large and complex dataset (unstructured and semi-structured). It becomes difficult to process, manage and revive a very large dataset. How can one execute big data management in their marketing strategy to increase revenues? How can one leverage on quantified customers’ information in the best way?
Strategies for Big Data Business
We have listed out a few marketing strategies which will help you in growing and enhancing your big data business.
Use Google Trends
The first and foremost, you should keep on monitoring your marketing strategy globally and locally using Google Trends. It is one of the most appropriate methods of utilizing big data in order to carry out effective marketing campaigns. It showcases trending topics, by quantifying how often a particular search-item/keyword is entered which is relevant and compared to the total volume searched. The method displays Hot Searches and Top Charts, listing popular search by categories.
Global Marketeers use Google Trends to assess the popularity of certain relevant topics across languages and worldwide. You should also use it in order to stay informed on topics that are hot, hip, cool and in trend or relevant to buyers.
Define your Ideal Customers’ Profile
Marketeers need to draft successful marketing strategy in order to achieve their goals, thereby making their marketing business more successful. For gaining success, you need to consider one of the major aspects of marketing, i.e. to define an ideal customers’ profile.
Make use of digital information to clearly define ICP (Ideal Customer Profile). The information related to the target audience would be based on three criteria, they are, psychographic, demographic information, and behavior for understanding your ideal customer profile and similarities they inherit.
Marketeers also need to fetch information of audience location, along with frequently searched data on the web, as well as understand their buying behavior, engagement, thus creating segmented groups according to their profile.
Constructing Real-time Personalization
Timeliness and relevance are pillars of engaging with existing consumers with the brand. Deliver your services and products to the audience at proper time intervals. Moreover, it also helps you in gaining higher email click-through rates. This is an essential aspect for winning marketing events.
Big Data is all about Real-Time Data. At the time of engaging with audience and creating an innovative customer experience, there is only one thing that leads the way, and that is personalization. Using today’s smart and faster growing technologies, you should attempt to connect and engage with the audience in real time using social media, internet and more, for delivering services to them at definite period.
Big Data is often misunderstood as a key to personalization because, in order to personalize huge complex dataset, you need to know where your customers are. And, most significantly you need to learn about their virtual footfalls such as, what they browse the most, which offers attract them the most. Such virtual footfalls serve an another aspect that is helpful during segmentation of huge dataset.
By tying the CRM system, marketing automation software and digital behavior allow marketeers’ to track on topics that buyers are most attracted and interested for. This helps you in sending customers relevant and informative content by exploring through a flood of ideas and content making your digital message even more valuable and worthy of them.
Content and social media management move buyers down by sales
It is very important to draft content over the web to engage with your potential and existing customers. You should adopt various social and content marketing strategies for generating better sales revenues.
To measure the score of the content over the social media page or website, tools like Content Scoring is utilized which illuminates the results of an individual content assets, and determines whether they were successful or not. This allows you to revive your marketing strategy by drafting relevant contents, topics or types that oscillate with buyers.
Using Predictive analysis into your leading marketing strategies
Predictive analysis is a tool for extracting information from existing dataset, determining patterns and forecasting future outcomes and trends. It enables an organization to move from historical view to forward-looking customers’ perspectives.
Using this tool, you can achieve a high rate of success in predictive leading scores. The tool uses third party internet data and CRM data to generate a model predicting future lead behavior. Such analysis will help you fetch a clear indication about digital behavior that is robust due to heavy scoring.
Thus, by implementing the above-listed strategies, you will surely be able to organize new marketing campaign more effectively and efficiently. Moreover, it will also sustain your brand’s exposure in the changing, evolving, and innovative modern trends of big data and digital marketing space.