Digital Marketing Advance | Data Analytics & Reporting for Marketers by Diljeet Singh | Learn Smarter
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Data Analytics & Reporting for Marketers

The importance of data analytics in digital marketing is emphasized, focusing on how marketers can utilize various tools and models to optimize campaign performance. Key performance indicators (KPIs) like Customer Acquisition Cost (CAC), Customer Lifetime Value (CLV), and Return on Ad Spend (ROAS) serve as fundamental metrics for evaluating marketing efforts. Additionally, attribution models and data visualization tools enhance the understanding and effectiveness of strategic decisions within marketing.

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Sections

  • 1

    Core Marketing Metrics

    This section focuses on the key marketing metrics essential for understanding marketing performance and optimizing campaigns.

    Learning Practice

  • 2

    Attribution Modeling

    Attribution modeling helps marketers assign credit to various customer interactions leading to a conversion.

    Learning Practice

  • 3

    Funnel & Cohort Analysis

    This section delves into funnel tracking and cohort analysis as vital tools for understanding user behavior and campaign effectiveness.

    Learning Practice

  • 4

    Tools For Analytics & Visualization

    This section explores various tools that aid in analytics and visualization for marketers, focusing on their specific use cases.

    Learning Practice

  • 5

    Data-Driven Decision Making

    This section emphasizes the importance of leveraging data analytics to enhance marketing strategies and optimize campaigns.

    Learning Practice

  • 6

    Chapter Summary

    This chapter emphasizes the significance of data-driven marketing strategies for effective decision-making and campaign optimization.

    Learning Practice

References

Chapter 6_ Data Analytics & Reporting for Marketers.pdf

Class Notes

Memorization

Final Test

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