- 1 #1 Marketing Budget Optimization
- 2 #2 Marketing to the Right Audience
- 3 #3 Identifying the Right Channels
- 4 #4 Matching Marketing Strategies with Customers
- 5 #5 Lead Targeting
- 6 #6 Advanced Lead Scoring
- 7 #7 Customer Personas and Profiling
- 8 #8 Content Strategy Creation
- 9 #9 Sentiment Analysis
- 10 #10 Product Development
- 11 #11 Pricing Strategy
- 12 Conclusion
Over the past decade, online information consumption has drastically shot up due to the wide affordability of the World Wide Web. It is estimated that there are over 6 billion devices connected to the internet right now. Around 2.5 million terabytes of data are generated every single day. By 2020, for every single person, there will be 1.7 MB of data created every second.
Over the past 10 years, the utilization of the online information has desperately being shot up because of the extensive affordability of WWW i.e. The World Wide Web. It’s calculated that there about 6 billion-plus devices that are linked to the Internet, right now.
Approximately data of 2.5 million terabytes are generated daily. By the year 2020, there’ll be a creation of 1.7 MB data every second for every individual.
In the marketing field, for marketers, this stunning data around is a bonanza. If this particular data can be processed & analyzed properly, the marketer can deliver the important insights which can be used for targeting its customer such as data science training in pune. Nevertheless, to decode big data part is a giant task to handle. This is the region where Data Science plays its role and can be a great boon!
Data Science is that particular field which draws out meaningful and significant information from the data and also helps marketers to discern the correct insights.
These rightful insights can be towered on different aspects of marketing like customer experience, intent, behavior, etc. which would directly help them in effectively optimizing the marketing strategies of theirs and will help in extracting maximum revenue.
Now, let’s check out the effective ways in data science marketing which are easy to implement.
#1 Marketing Budget Optimization
It’s a common fact the radar of marketers is always concealed by a rigid and strict budget. The major objective of marketers is to extract the greatest amount of ROI from the assigned budgets of theirs. Attaining this is always time-consuming and tricky too.
Things don’t need to work in the same manner as you would have planned. Also, sometimes effective utilization of budget is not as per the plan.
Now marketing data science plays a crucial role in this. By examining the invest of the marketer & acquisitional data, a skillful data scientist can create a spending model which helps in utilizing a better budget.
This model can assist marketers in distributing their budget over the locations, mediums, channels, and campaigns for optimizing for their important functions.
#2 Marketing to the Right Audience
In general, the campaigns of marketing are distributed widely, regardless of the audience and the location. Subsequently, there are top-notch chances for marketers exceeding their budget. Also, they might not be able to attain any of their planned or targeted revenue and goals.
However, for analyzing the data property, if marketers use data science, then they’ll be in the state of understanding that which demographics and the locations are providing them the maximum ROI.
#3 Identifying the Right Channels
Data Science in marketing can have its usage for determining which channels are offering them the escalator as a marketer. With the use of the model of “Time Series”, a data scientist can identify and compare the kinds of acceleration witnessed in different channels. This can be greatly advantageous as it exactly narrates the marketer that which mediums and channels are delivering appropriate returns.
#4 Matching Marketing Strategies with Customers
To extract maximum profit out of the marketing strategies of theirs, marketers require them to have a match with suitable and potential customers. To implement this, a data scientist can build a “Customer Lifetime Value Model” which can divide customers as per their behavior.
Marketers can have the use of this model for so many cases. Also, cashback offers and referral codes are sent by them to their “high-value customers.”
Marketers can administer retention strategies to audiences or end-users that will possibly be leaving their customer base & so on.
#5 Lead Targeting
Data Science Marketing is high in demand and marketers are using this technology to closely target the leads; they also want to know all the information regarding the intent and behavior online. Having a look at the historical data, these marketers can figure out their business needs and the brands’ type that they have been related/associated with, in the preceding year.
#6 Advanced Lead Scoring
Every lead which a marketer gets hold of is not converted into the company’s customer. If a marketer can precisely segment customers according to their interest. This move will speed up the performance of the sales department, and most importantly and ultimately the revenue.
Data Science permits the marketers for creating the predictive system of lead scoring. This particular system is the algorithm which has the capability of estimating the conversion probability and the skill of separating the lead list of yours. This list can be divided into curious prospects, eager customers, & non-interested customers.
#7 Customer Personas and Profiling
While you market any product or service, marketers are always on their toes to create customer personas. They are frequently on the process of structuring & targeting prospects’ specific lists.
With the help of data science, marketers can precisely make a decision which personas are required to be on the point of target. They can easily find out the characteristics’ kind and the number of personas, marketers need for the creation of their new customer base.
#8 Content Strategy Creation
The marketers at their gunpoint have to always deliver valuable and relevant content to attract the eye-balls of the customers.
Data Science has its universe of helping in pulling the audience data which in turn will help them in the creation of best quality content for each of the customers.
Let’s say, if any customer reaches via Google as he/she searches for a particular keyword, then the marketer will have that knowledge of using that specific keyword a lot in their marketing content.
#9 Sentiment Analysis
The marketers make complete use of data science for sentiment analysis. By this analysis, we mean that these marketers can achieve better insights regarding customer’s opinion, their beliefs, and their attitudes. Also, they can examine what’s the reaction of customers to marketing campaigns.
#10 Product Development
Data science can help marketers gather, aggregate, and synthesize data on their products for several different demographics. Based on the insights provided by this data, they can develop products and create highly targeted marketing campaigns to their intended demographic.
#11 Pricing Strategy
Marketers are helped by data science when it’s talked about enhancing the pricing strategies of the marketers. So, to focus on elements like purchase history of the past, customer preferences of an individual, & the economic situations. The marketers can simply recognize what factors are responsible for grabbing the attention of the customers to buy anything and how to convince them to buy higher-valued products.
Data science’s application in marketing analytics from far looks exciting, isn’t it? Well, the answer to this is, it’s much more exciting than it seems to you and it could be achievable if get the gist of it & correctly hold it. So, with data science course in Pune, excel in the data science universe!