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The Need of Data Science in Digital Marketing

This presentation is about The Need of Data Science in Digital Marketing and the Benefits Of Data Science for Digital Marketing by the Digital Trainee.<br>(Digital Trainee - Digital Marketing Courses in Pune and Online Digital Marketing Course in Pune)

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The Need of Data Science in Digital Marketing

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  1. The Need of Data Science in Digital Marketing Digital Trainee

  2. Data ScienceIntroduction • Data science is an field responsible for managing, manipulating, extracting, and interpreting information from massive amounts of data. • Data science (DS) is a multidisciplinary area of research aimed at addressing big data challenges. • In these modern times, the very existence of Digital Marketing strategies would be doubtful sans the presence of Data Science.

  3. Role of Data Science in Digital Marketing • Data Science helps in removing guesswork in SEO. • Instead of assuming the results of your work, data science will help in finding out the results and success of work. • Data science will help in get entire information of customers like their choices and needs from which one can run campaign according to customer needs. • Marketers may use Data Science to gain access to utility groups of data collected across a variety of platforms, including organic (SEO/website analytics), social media, and email marketing.

  4. Benefits of Data Science for Digital Marketing The following is a list of some of the advantages of using data science in digital marketing. • Campaign Strategizing • Optimization of channel and budget • Increase in the speed of planning • Customer aligned data that is real time

  5. Campaign Strategizing • One of the main purposes of implementing data science is planning a campaign that performs well. • Data science facilitates marketers to segment customers according to their buying habits, demographics, and geo locations. • This also make other tasks like planning, SMO, budget allocation simple, allowing you to build a strategy that resonates with the needs of your consumers and produces better results. • Data science will also help you identify your most valuable customers and provide them with better benefits than the rest of your audience.

  6. Optimization of channel and budget • Data Science helps the business that operates through channels like social media, sites, etc. by optimize those channels for getting the best return on investment (ROI). • Data science allows you to see and assess your campaign's success rate, as well as identify problems from past campaigns. • Via data science, you can get the percentage of people who are engaged and patterns in their actions on each of your platforms. • Though the results can differ across channels and platforms, the goal is to determine and test which performs better at any given time. • Traffic data analysis helps you in determining and allocating budget for channel differently.

  7. Increase in the speed of planning • Marketers are able to do faster and easy planning of their campaigns with the aid of Data Science. • Businesses already has data on their website, social media channels and on the existing campaigns. Data Science helps in the gathering and analysis of data in a more precise and efficient manner.  • This allows businesses to design and execute campaigns more effectively, resulting in a higher return on investment.

  8. Customer aligned data that is real time • With the help of Data Science current and future digital marketing campaigns can be designed as per real-time data by focusing on current market trends and consumer trends. • Data regarding market trends, execution time efficiency, customer behavior, and buying trends is retrieved using existing data science techniques. • This is especially critical when it comes to identifying new opportunities, forecasting patterns, and outsmarting competitors. • With cleverly designed marketing content, loyal customers can be efficiently targeted at the right moment.

  9. Data Science in Marketing • Predicting the content would be well-received • Predict which social media platforms the prospects are most likely to use • Estimate which deals would appeal to which customers. • PPC (Pay Per Click) Optimization • Optimization of Retargeting Marketing Data Science • Prediction of churn • Optimization of email campaigns • Personalized messaging • Message timing optimization • Pattern recognition of clients and prospects

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  11. Thank You

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