Subject Syllabus
AD-703 (D) - Social Media & Web Analytics
AIDS · Semester 7
Course Modules
Learn topic-wise with Hyper AI and revise using mapped PYQs.
Social Media Analytics & its Need.SMA in Small and Large OrganisationsApplication of SMA in Different Social Media Platforms.Introduction to Web Analytics: DefinitionProcessKey Terms: Site ReferencesKeywords and Key PhrasesBuilding Block Terms: Visit Characterization TermsContent Characterization TermsConversion MetricsCategories: Offsite Web, on Site WebWeb Analytics PlatformWeb Analytics EvolutionNeed of Web AnalyticsAdvantages & Limitations.
InfluencersSocial NetworkWeb Data and Methods.Data Collection and Web Analytics Fundamentals: Capturing Data: Web LogsWeb BeaconsJava Script TagsPacket SniffingOutcome Data: E-commerceLead GenerationBrand/ Advocacy and SupportCompetitive Data: Panel Based MeasurementISP Based MeasurementSearch Engine DataOrganisational Structure.Type and Size of DataIdentifying Unique page DefinitionCookiesLink Coding Issues.
Page ViewsBounceBounce Rate & its ImprovementAverage Time on SiteReal Time ReportTraffic Source ReportCustom CampaignsContent ReportGoogle AnalyticsKey- Performance Indicator: NeedCharacteristicsPerspective and Uses.Graphs and Matrices- Basic Measures for Individuals and Networks.Random Graphs & Network EvolutionSocial Context: Affiliation & Identity Web analytics Tools: A/B testingOnline SurveysWeb Crawling and Indexing.Natural Language Processing Techniques for Micro-Text Analysis.
Audience: Reach and Engagement Analysis.Post-Performance on FB; Social Campaigns: Goals and Evaluating OutcomesMeasuring and Analysing Social CampaignsSocial Network AnalysisAdWordsBenchmarkingCategories of Traffic.Google Analytics: Brief Introduction and WorkingGoogle Website OptimizerImplementation TechnologyLimitationsPerformance ConcernsPrivacy Issues.
Benefits of Heuristic EvaluationsSite Visits: Conducting a Site VisitBenefits of Site VisitsSurveys: Website SurveysPost-Visit SurveysCreating and Running a SurveyBenefits of Surveys.Web analytics 2.0: Web Analytics 1.0 & its LimitationsIntroduction to WA 2.0Competitive Intelligence Analysis and Data SourcesWebsite Traffic Analysis: Traffic TrendsSite Overlap and Opportunities.