Web & Social Media Analytics Module 4.pdf

Copyright © 2024 Jayanti Rajdevendra Pande. All rights reserved.
RASHTRASANT TUKDOJI MAHARAJ NAGPUR UNIVERSITY
MBA
SEMESTER: 4
SPECIALIZATION
BUSINESS ANALYTICS
SUBJECT
WEB & SOCIAL MEDIA ANALYTICS
MODULE NO : 4
MOBILE & SOCIAL MEDIA ANALYTICS
- By Jayanti R Pande

Q1. What are the challenges in measuring new social web data?
Measuring new social web data involves assessing the dynamic content generated on social media platforms.
It is crucial for understanding user behaviour, trends, and sentiments in real-time.
This is achieved through the collection, analysis, and interpretation of vast amounts of social media data using advanced tools
and techniques.
CHALLENGES IN MEASURING NEW SOCIAL WEB DATA
• Privacy and Ethics: Organizations must adhere to privacy regulations and ethical guidelines when handling social media data.
This involves ensuring data anonymity, obtaining user consent, and responsibly handling sensitive information.
• Data Volume: Managing the immense volume of social media data poses a challenge, requiring scalable solutions for
collection, storage, and processing.
• Data Variety: Social media content comes in diverse formats like text, images, videos, and emojis, necessitating advanced
techniques such as natural language processing and computer vision for analysis.
• Real-Time Analysis: Social media data is time-sensitive, with conversations and trends evolving rapidly. Organizations need
real-time analysis capabilities to stay updated and respond promptly.
• Data Noise: Filtering out irrelevant information from social media platforms is crucial for focusing on meaningful insights.
Effective data filtering and sentiment analysis techniques are needed to handle data noise.

Q2. Write a note on Analysing Offline Customer Experiences
ANALYZING OFFLINE CUSTOMER EXPERIENCES
Offline customer experiences refer to interactions that occur outside of digital platforms, such as in-store visits, face-to-face
customer service interactions, or attendance at events. Analyzing these experiences is crucial for gaining a comprehensive
understanding of customer satisfaction and perception of the brand.
 Importance: Assessing offline experiences helps businesses understand the effectiveness of in-person interactions and
their impact on customer loyalty and retention. It provides insights into how customers perceive the brand in real-world
interactions.
 Benefits: By analyzing offline customer experiences, businesses can identify areas for improvement, enhance overall
customer satisfaction, and foster greater loyalty among their customer base. Understanding offline interactions
complements online analytics and helps create a holistic view of the customer journey.
 Data Collection Methods: Methods for collecting data on offline customer experiences may include surveys, in-person
interviews, mystery shopping, or observation. These methods allow businesses to gather feedback directly from customers
and assess their satisfaction levels.
 Integration with Online Data: Integrating offline customer experience data with online analytics provides a comprehensive
view of the customer journey. By combining insights from both online and offline interactions, businesses can better
understand customer behavior and preferences.

Q3. How to analyse Mobile user experience?
Analysing mobile user experience involves delving into how users interact with mobile applications and websites.
This analysis helps identify areas for optimization, improve user engagement and retention, and maintain user
satisfaction across different mobile platforms.
 Understanding Mobile App Performance: This involves assessing aspects like responsiveness, loading times, and
stability of mobile applications. Monitoring app performance helps identify areas for optimization and
improvement.
 Evaluation of UI and UX: Analysing the design, usability, and overall user experience of mobile interfaces, focusing on
factors such as navigation, visual appeal, ease of use, and responsiveness of touch interactions.
 Utilization of Mobile Analytics: Leveraging mobile analytics tools to track user behavior, including screen views, app
interactions, and user journeys. This provides insights into user engagement, retention, and conversion rates.
 Cross-Platform Analysis: Considering the consistency and usability of the mobile experience across different
platforms such as iOS and Android. Ensuring a seamless experience across platforms is crucial for maintaining user
satisfaction.

Q4. What are blogs? And how to measure the success of a blog?
BLOGS
Blogs serve as online platforms where individuals or organizations share regular posts on various topics. Measuring the success
of a blog is crucial to understand its impact and effectiveness in reaching its audience and achieving goals. By analysing metrics
such as traffic, engagement, conversions, and SEO performance, bloggers gain insights into their content strategy's
effectiveness and areas for improvement. This measurement informs decision-making and enables optimization to enhance the
blog's performance and achieve objectives.
MEASURING SUCCESS OF A BLOG
 Assessing Traffic and Reach: This involves tracking metrics such as visitor count, page views, and unique visitors to gauge the
blog's reach and popularity.
 Analyzing Engagement Levels: Examining factors like comments, social media shares, and time spent on page to understand
how engaged users are with the blog content.
 Measuring Conversion and Goals Achievement: Tracking desired actions taken by visitors, such as newsletter sign-ups or
resource downloads, to evaluate how effectively the blog is meeting its objectives.
 Evaluating SEO Effectiveness: Assessing the blog's search engine optimization (SEO) performance by monitoring keyword
rankings, organic search traffic, and backlinks to determine its visibility and discoverability.

Q5. Elaborate on how to quantify success of Twitter.
TWITTER
Twitter is a popular social media platform known for its microblogging format, allowing users to share short messages called
tweets with their followers. Quantifying the success of Twitter involves evaluating various metrics to gauge the impact and
effectiveness of a Twitter presence. It encompasses assessing factors like follower growth, engagement metrics such as
retweets and likes, and reach and impressions of tweets. Quantifying Twitter's success is essential for organizations to
understand their performance on the platform, identify effective strategies, and make informed decisions to enhance their
Twitter presence and engagement with their audience.
QUANTIFYING SUCCESS OF TWITTER
 Follower Growth: Monitoring the growth of followers over time to evaluate the reach and influence of a Twitter account.
 Engagement Metrics: Analyzing metrics such as retweets, likes, and replies to assess the level of engagement and interaction
with tweets. High engagement metrics indicate a strong connection with the audience.
 Reach and Impressions: Evaluating the number of impressions (views) and reach (unique users) of tweets to measure the
visibility and potential audience reach.
 Influence and Authority: Assessing metrics like the number of mentions, followers' profiles, and influencer interactions to
gauge the influence and authority of a Twitter account within a specific industry or community.

Copyright © 2024 Jayanti Rajdevendra Pande.
All rights reserved.
This content may be printed for personal use only. It may not be copied, distributed, or used for any other
purpose without the express written permission of the copyright owner.
This content is protected by copyright law. Any unauthorized use of the content may violate copyright laws and
other applicable laws.
For any further queries contact on email: jayantipande17@gmail.com

Web & Social Media Analytics Module 4.pdf

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Web & Social Media Analytics Module 4.pdf