Description
instruction:
https://docs.google.com/document/d/1k8d9IqFlk4QISJ…
the template is uploaded and please combine results for data analysis in the word file and 8 results listed below:
https://docs.google.com/document/d/1Wwd8eDriZ4I1HL…
https://docs.google.com/document/d/10NO709sYbmNAA5…
https://docs.google.com/document/d/1IZdg925CHlybwC…
https://docs.google.com/document/d/1PKyGNeqxt8wXMh…
https://docs.google.com/document/d/1K3jttcRb90RYwL…
https://docs.google.com/document/d/1KZNafEaMhDduc3…
https://docs.google.com/document/d/1yzPPPXEZBm8Nte…
https://docs.google.com/document/d/1s2vw-n2icA7mwB…
And for comparing my region with US or UK part, my region is China. I need the power point and the 4min speech as well. The power point should has 7-10 slides
Unformatted Attachment Preview
.1. What was the research question(s) you defined for this analysis?
•
What is the relationship between sentiment, activity score, and follower count in the
dataset?
•
How does social media engagement impact audience reach and brand awareness in the
industry?
•
To what extent does the activity score explain the variability in follower count?
Answers
•
The analysis revealed a moderate positive linear relationship (correlation coefficient =
0.5) between sentiment and activity score. It suggests that as sentiment increases, the
activity score tends to increase as well. This is illustrated in a scatter plot showing the
distribution of sentiment scores against activity scores.
•
The correlation coefficient between sentiment and follower count was unusually high
(15.30620726). It is indicating a potential issue with the data.
•
The correlation between activity score and follower count was very weak (correlation
coefficient = 0.010410333). It suggests almost no systematic relationship between these
two variables. SQL OnLine IDE (sqliteonline.com)
•
Previous research on social media reach in the industry indicated that companies with
higher levels of engagement on social media tend to have a larger audience reach and
higher levels of brand awareness. This is supported by the chart below that is showing the
positive correlation between social media engagement metrics (likes, shares, comments)
and metrics indicating audience reach.
.1. What was the research question(s) you defined for this analysis?
•
What is the relationship between sentiment, activity score, and follower count in the
dataset?
•
How does social media engagement impact audience reach and brand awareness in the
industry?
•
To what extent does the activity score explain the variability in follower count?
Answers
•
The analysis revealed a moderate positive linear relationship (correlation coefficient =
0.5) between sentiment and activity score. It suggests that as sentiment increases, the
activity score tends to increase as well. This is illustrated in a scatter plot showing the
distribution of sentiment scores against activity scores.
•
The correlation coefficient between sentiment and follower count was unusually high
(15.30620726). It is indicating a potential issue with the data.
•
The correlation between activity score and follower count was very weak (correlation
coefficient = 0.010410333). It suggests almost no systematic relationship between these
two variables. SQL OnLine IDE (sqliteonline.com)
•
Previous research on social media reach in the industry indicated that companies with
higher levels of engagement on social media tend to have a larger audience reach and
higher levels of brand awareness. This is supported by the chart below that is showing the
positive correlation between social media engagement metrics (likes, shares, comments)
and metrics indicating audience reach.
Beats by Dr. Dre Gen Z
Branding research and
strategy
Project by [your name]
Agenda
• Title/Cover Page
• Agenda
• Synthesis of the recommendations (Executive Summary)
• Gen-Z emerging trends and insights around over-ear headphones
• Research Insights
• Concluding thoughts
• End Slide
Executive Summary
• Situation and Complication (One line overview of Beats by Dr. Dre and
insights on trends around the revived popularity of over-the-ear headphones)
• Learning from the emerging trends amongst Gen Z
• Evaluation of the appeal of over-ear headphones
• Beats by Dr. Dre should…(One-line actionable statement covering key insight
supported by trends data and best practices)
Gen-Z emerging trends and insights
around over-ear headphones
Summary of the emerging marketing trends and supporting evidence
Trend Analysis Takeaways
• What makes over-ear headphones appealing again?
[Key data/chart as supporting evidence or reasoning
for Identified Trends]
• How much of the appeal is driven by form vs function?
• How did that resurgence come about?
• What/who started that trend, when, and why?
• What specific brands/products are benefitting from this trend,
and why?
• Is this trend here to stay? What are consumers looking for in a
good pair of over-ear headphones?
Appropriate tables and charts
Research Insights
One line overview of the research analysis
Key Research Insights
Rationale explaining observations
• xx
[Illustrative data/chart(s) as supporting evidence or
reasoning for the research analysis takeaways
Appropriate tables and charts (e.g. pie, column, line, bar)
Concluding Thoughts
One line overview of the conclusions found from the research around this revived popularity of headphones
Key statements/conclusions
• xx
Rationale for the conclusions
• xx
[Illustrative data/chart(s) as supporting evidence or
reasoning for the conclusions]
Appropriate tables and charts (e.g. pie, column, line, bar)
[An impactful concluding statement]
Thank you!
Your picture
School, Email, LinkedIn
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