Difference between revisions of "ANLY482 Team wiki: 2015T2 TeamROLL Project Overview"
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Taking into account the analytical problems faced, we aim to: <br> | Taking into account the analytical problems faced, we aim to: <br> | ||
− | (i) Identify better | + | <b> Page-level Data </b><br> |
− | * Based on | + | (i) Identify the trend in lifetime total likes <br> |
− | ( | + | * Based on the net change in count <br> |
− | * Based on | + | (ii) Identify the better performing posts <br> |
− | + | * Based on daily total reach and number of daily engaged users<br> | |
− | ( | + | (iii) Identify the composition in lifetime total likes <br> |
− | * Based on | + | * Based on gender and age group <br> |
− | ( | + | <b> Post-level Data </b><br> |
− | * Based on the | + | (i) Identify the better performing posts and weak performing posts<br> |
− | ( | + | * Based on clustering engagement level (number of negative feedback against number of likes) <br> |
− | * Based on the relationship between the | + | (ii) Identify the time-series patterns (time of day) for post reach<br> |
− | ( | + | * Based on hour of the day and number of post reach <br> |
− | * Based on | + | (iii) Determine relationship between engagement level and the characteristics of a picture post |
− | + | * Based on the relationship between the number of likes and picture design | |
+ | ** Picture design is based on the number of description lines, characters used (e.g. Animals, Foreign celebrities) and the number of frames | ||
+ | (iv) Determine relationship between engagement level and the topics discussed <br> | ||
+ | * Based on post topics and number of likes | ||
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Latest revision as of 23:09, 17 April 2016
Description | Methodology | Technology |
About SGAG
Project Motivation
Although SGAG has been very successful thus far, it also recognises that the online content space is very competitive, with newer players such as "SMRT Feedback" joining in the fray to generate local humour content. As such, SGAG needs to evaluate and improve their content strategy to ensure they stay entertaining and engaging to their audience.
Business Questions
In a nutshell, SGAG's business questions are:
- How can we drive audience growth through our creative content?
- What are the characteristics of a “great” post which appeals to our audience?
SGAG has so far thrived on an intuitive understanding of their customer's content preferences. However, they do not have a concrete or clear picture of the kinds of attributes which they can work on to make a specific post a "great" one. They hope that this project will utilise their rich pool of historical data to derive actionable insights into the concerns above, and offer recommendations how SGAG can improve their content creation strategy.
Analytical Objectives
Taking into account the analytical problems faced, we aim to:
Page-level Data
(i) Identify the trend in lifetime total likes
- Based on the net change in count
(ii) Identify the better performing posts
- Based on daily total reach and number of daily engaged users
(iii) Identify the composition in lifetime total likes
- Based on gender and age group
Post-level Data
(i) Identify the better performing posts and weak performing posts
- Based on clustering engagement level (number of negative feedback against number of likes)
(ii) Identify the time-series patterns (time of day) for post reach
- Based on hour of the day and number of post reach
(iii) Determine relationship between engagement level and the characteristics of a picture post
- Based on the relationship between the number of likes and picture design
- Picture design is based on the number of description lines, characters used (e.g. Animals, Foreign celebrities) and the number of frames
(iv) Determine relationship between engagement level and the topics discussed
- Based on post topics and number of likes