Social Media and Web Analytics Notes | AKTU Guide
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Social Media and Web Analytics – Smart Prep
AKTU Social Media and Web Analytics / Social Media and Data Analytics exam ke liye unit-wise points, last 3–5 saal ke PYQs ke pattern pe based.
Contents
Syllabus wording college to college thoda change ho sakta hai, but PYQ trend in broad units pe fix hai.
Unit 1 – Introduction to Social Media & Digital Revolution
Weightage: ★★ (Section A + B)- Digital revolution and evolution from Web 1.0 to Web 2.0 and Web 3.0.
- Limitations of Web Analytics 1.0 (page views only, no user intent, siloed data, etc.).
- Difference between social media and traditional media (reach, speed, interactivity, cost).
- Types of social media platforms: social networking (Facebook), microblogging (Twitter/X), photo/video (Instagram, YouTube), professional (LinkedIn).
- Role of social media in marketing, branding and customer relationship building.
- Define social media. Explain its advantages for businesses.
- What is Web 1.0? State its limitations.
- Social media vs traditional media – any four points.
- Line 1: Simple definition (shift from offline to online, static to interactive web).
- Line 2–3: Web 1.0 → static; Web 2.0 → user‑generated content; Web 3.0 → personalization / AI / data.
- Line 4: 1–2 lines on impact for marketing / analytics.
Unit 2 – Web Analytics Foundations
Weightage: ★★★ · Core of paper- Definition of web analytics; need and benefits of web analytics.
- Web Analytics 1.0 vs advanced analytics (focus on page views vs user behaviour, segmentation, conversion).
- Key web metrics: page views, unique visitors, sessions, bounce rate, exit rate, average time on page, conversion rate.
- Tools overview: Google Analytics, Adobe Analytics, social media insights tools.
- Data collection methods: web logs, cookies, web beacons, tags.
- Limitations of web analytics (data accuracy, cookie deletion, cross‑device issues).
- “What is web analytics? State its advantages and limitations.”
- “Explain various techniques to measure website performance.”
- “Define Web Logs and Web Beacons.”
- Har metric ke liye: definition + simple formula (agar ho) + ek 1‑line example.
- Conversion rate, bounce rate jaise metrics ko marketing example se explain karo (e.g., “out of 100 visitors, 5 buy”).
- Measure traffic and user behaviour.
- Improve website UX and content.
- Optimize marketing spend and campaigns.
- Support data‑driven business decisions.
Unit 3 – Social Media Data Sources & Google Analytics
Weightage: ★★- Sources of social media data: posts, comments, likes, shares, hashtags, profiles, clickstream data.
- Owned, earned and paid media data (brief idea).
- Basics of Google Analytics: account, property, view; tracking code / tag; how data flows.
- Important Google Analytics reports: audience, acquisition, behaviour, conversions.
- Applications of Google Analytics for marketers (channel performance, landing page analysis, goal tracking).
- Surveys as a source of qualitative data for web and social media analysis.
- “Explain various sources of social media data with example.”
- “What is Google Analytics? Name its applications.”
- “Explain the role of surveys in gathering data for website analysis.”
- Heading wise likho: content level data (posts, stories), engagement data (likes, shares, comments), user profile data, click & conversion data.
- Har type ke saath ek 1‑line example de do (e.g., “Instagram post likes show engagement”).
Unit 4 – Social Media Analytics and Platform Metrics
Weightage: ★★- Social media analytics (SMA) – definition and importance.
- Key social media metrics: reach, impressions, engagement, engagement rate, click‑through rate (CTR), conversion.
- Applications of SMA on different platforms (Facebook, Instagram, Twitter/X, LinkedIn).
- Tracking reach and engagement on platforms like Instagram or Facebook with example.
- Dashboards and visualization basics: why charts and summaries matter for decision makers.
- “Explain the applications of Social Media Analytics (SMA) in different social media platforms.”
- “Explain the process to analyse reach and engagement in Instagram with recent example.”
- “How can SMA be used in hospitality / retail / services sector?”
- Step 1: Define reach and engagement.
- Step 2: Mention Instagram Insights and where metrics appear.
- Step 3: Example – compare two posts (e.g., reel vs image) and show how higher engagement guides content strategy.
Unit 5 – Social Media Campaigns, KPIs and Reporting
Weightage: ★★- Need and objectives of social media and web analytics for campaigns.
- Key performance indicators (KPIs) for social campaigns (awareness, engagement, traffic, leads, sales).
- Techniques to measure social media campaign success (A/B testing, tracking links, coupon codes, dashboards).
- Benefits and obstacles in designing a social media campaign.
- Designing a sample campaign for a brand on Facebook/Instagram (often asked, brand name given like Patanjali Aloe Vera, etc.).
- Role and benefits of surveys in social media and web analytics.
- “Design a social media campaign for <brand> on Facebook and Instagram.”
- “Explain various techniques to measure social media campaign.”
- “What are the benefits of surveys?”
- “Explain obstacles faced during designing of a social media campaign.”
- 1–2 lines: brief intro of brand & target audience.
- Bullet points: goals (awareness, engagement, leads).
- Channels: Facebook + Instagram formats (posts, stories, reels, ads).
- Content idea: 2–3 sample post concepts.
- Metrics: reach, engagement, CTR, conversion; how you will measure success.
High Score Strategy – Social Media & Analytics
In papers jaisa KMBNMK05 / Social Media & Web Analytics, pattern theory + small case‑style questions par based hota hai.
Revision Flow
- Step 1: Web analytics basics and metrics (Unit 2) – definitions + limitations + 1–2 long answers.
- Step 2: Social media data sources and Google Analytics (Unit 3) – “sources of data”, GA applications, surveys.
- Step 3: Social media analytics and platform metrics (Unit 4) – reach, engagement, CTR with Instagram/Facebook examples.
- Step 4: Campaign, KPIs and measurement (Unit 5) – 2 sample campaign frameworks + measurement techniques.
- Step 5: Social media basics and digital revolution (Unit 1) – Web 1.0, limitations, social vs traditional media for short questions.
MyCollegeVerse Resources
- MyCollegeVerse Notes – more marketing, analytics and AIML‑oriented prep docs.
- MyCollegeVerse.in – OS‑style tools, planners and academic utilities.
Social Media and Web Analytics Notes for AKTU Students
These social media and web analytics notes are made for AKTU students who want a simple and exam-focused way to revise this subject. Instead of giving very long theory, the content highlights what your paper actually asks: definitions, short explanations, examples and small case-based questions. You can treat this page as your quick guide to social media and data analytics when you revise before mid-term or end-term exams.
In the first part of these social media and web analytics notes, you revise the basics of the digital revolution, Web 1.0 to Web 3.0, and the difference between social media and traditional media. It explains why platforms like Facebook, Instagram, YouTube and LinkedIn are important for marketing and why companies invest in social media and analytics AKTU style questions on benefits, challenges and use cases. This makes your basic theory answers strong for 2–5 mark questions.
The next part focuses on web analytics foundations and Google Analytics reports. Here you learn what web analytics is, why businesses track visitors and how common metrics like page views, sessions, bounce rate, average time on page and conversion rate are used. The notes connect these web analytics foundations with Google Analytics reports such as audience, acquisition, behaviour and conversion reports, so you can easily write “explain with example” type answers.
After that, the social media and data analytics sections talk about social media data sources, social media metrics and KPIs, and real business applications. You see how reach, impressions, engagement, click-through rate and conversion are calculated on platforms like Instagram and Facebook. Short examples show how social media analytics applications help brands improve content, choose better posting time and optimize ad spend.
The last part of these social media and web analytics notes focuses on social media campaign design and reporting. You get a simple framework to design a campaign with goals, target audience, content ideas and tracking links, along with techniques to measure success using dashboards and reports. With this flow, the keywords like social media metrics and KPIs, web analytics foundations and social media campaign design stay fully synced with the actual content you will read and write in the exam.
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