DATA ANALYTICS IN MARKETING.
Data Analysis in the Social Media Sphere.
case-study of social media platform.
For all the Data files and code please do visit my github repo !
This project deals with the user engagement in social-media platforms.
Through the lens of data analysis, decoding the preferences and behaviours of users, unveiling insights that form the cornerstone of a captivating digital journey. The goal is clear: orchestrate an upward surge in user engagement, transforming data into a compelling narrative that beckons users to immerse themselves in the platform.
These are the most viewed content across the platform. Customizing content to individual preferences creates a user-centric haven on our social platform. By offering a mix, users get the best of both worlds: content that resonates personally and popular content enjoyed by the masses. This dual strategy not only enhances individual user experiences but also cultivates a shared digital space where personal choice and collective appeal converge, fostering vibrant engagement for all.
One dot that connects all the questions and answers here is :
USER ENGAGEMENT
In dissecting the ebb and flow of user engagement, a distinctive pattern emerges. From April to July, we witnessed a robust surge, maintaining momentum through a stable July to October. However, a noteworthy shift occurred from October to January, revealing a gradual 15% decline. Delving deeper, the subsequent January to April interval witnessed a further 10% dip, culminating in an overall reduction of 25%.
This intriguing trend aligns with a plausible explanation: the holiday season effect. Users, potentially occupied with festivities, showed a natural dip in mobile usage and subsequent social media engagement. Understanding this nuanced rhythm unveils a strategic opportunity: crafting targeted campaigns and features to reignite engagement during post-holiday phases, ensuring a resilient bounce-back for sustained growth.
USER ENGAGEMENT
Phase 1
APRIL - OCT
Upsurge phase
Upsurge in two phases:
APR-JUL
JUL-OCT
Phase 2
OCT-APRIL
Decline in UE by 25%
Fall in User engagement and recycle:
OCT-JAN
JAN-APR
Phase 3
Post APRIL
Regaining Phase.
- Cultural Sensitivity Matters: Recognize the impact of cultural nuances on user engagement. In India, festivities drive heightened social media activity, offering a strategic window for engagement.
- Data-Driven Localization: Leverage data analysis to unravel localized insights. Tailor content and strategies to align with the unique behaviors and preferences observed within the Indian social media landscape.
- Strategic Festive Integration: Capitalize on the festive calendar as a strategic opportunity. Aligning campaigns and features with major festivals can drive increased user participation and content consumption.
- Continuous Data Exploration: Acknowledge that the case study represents a snapshot. Ongoing data exploration is essential to stay abreast of evolving trends and to refine strategies for sustained relevance in the dynamic Indian market.
Also dont forget to visit my Github Repo !
Fun Fact:
Data analysts have a 99% accuracy rate in making up statistics on the spot.
CONTACT me
Phone
6303606145
Email
iamvkrishna24@gmail.com
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