Understanding the Connection
Marketing Messages, Data Analysis & Data Mining
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An introduction to marketing strategies using data insights.
Explores marketing messages, data analysis, and data mining.
Focuses on how data shapes customer communication.
Companies use data to inform their marketing messages.
Data analysis and data mining provide valuable insights.
Explaining marketing messages, data analysis, and data mining.
Understanding the interconnectedness of these concepts.
Illustrate the significance of each concept for a marketing team.
The main idea a brand wants to share with its customers.
Includes what the brand stands for and what it offers.
Why the customer should care about the brand.
Gives product information to the customer.
Intended to make the customer want to buy.
Connects with feelings and creates brand affinity.
“Because You’re Worth It” – an emotional marketing message.
New Cleaning power - resolves most cleaning struggles
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Diverse message types to cater to all consumer bases
Clear messaging helps stand out in a noisy market.
Makes people feel connected to the brand.
A good message can influence buying decisions positively.
Strong messaging shapes customer perception of the company.
Clear messaging helps to build customer loyalty to the brand.
Collecting, organizing, and studying data to get useful insights.
Helps companies understand what customers like.
Understanding which products are selling well.
Identifying when people buy more.
Common tools include Excel, Tableau, and Google Data Studio.
Company observes most sales on weekends.
Company plans weekend discounts based on analysis.
Using sales trends to optimize promotional activities.
Drive revenues by maximizing on peak sales times.
Ensuring future campaigns are more effective.
Understand who buys what, when, and how.
Testing which marketing messages work best.
Plan future strategies based on identified trends.
Avoid guesswork and make informed decisions.
Helps companies in becoming more competitive.
Searching huge amounts of data to find hidden patterns.
More advanced than basic data analysis.
Used for predicting customer behavior.
Grouping similar customers together.
Finding reasons for drops in sales.
People who buy baby products often buy vitamins.
Using this information for cross-promotional activities.
Enhance sales through suggestive sales tactics.
Enhance customer experience by recommending needed items.
More effective marketing campaigns.
Goal
Understand current data
Discover Hidden
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