Certificate in Marketing Analytics

In today’s rapidly evolving digital landscape, data is the backbone of every successful marketing strategy. Marketing analytics goes beyond measuring performance — it empowers professionals to uncover hidden trends, optimise campaigns, and deliver personalised customer experiences. By learning advanced tools and techniques through this marketing analytics course, marketers can ensure improved engagement and maximum effectiveness of campaigns. Any organisation’s competitive edge lies in its ability to transform vast customer data into valuable insights and actionable decisions.

LearninGT by Grant Thornton Bharat is pleased to launch its ‘’Certificate in Marketing Analytics’’ to equip participants with advanced tools, innovative techniques, and practical experience to master data-driven marketing. This marketing analytics course equips you with the expertise to analyse trends, optimise strategies, and deliver impactful results.

• Introduction to marketing analytics
  • Learning new age out-of-home (OOH) and offline marketing opportunities
  • Understanding the role of data analytics in digital and offline marketing
  • Working on advanced metrics of marketing analytics
  • Case study: Understanding the importance of marketing analytics
  • Hands-on exercise: Programmatic advertising using tools
• Overview of marketing analytics resources
  • Programming in marketing analytics: Python and SQL
  • Understanding the advanced features of analytics tools
  • Learning the importance of data visualisation tools: Power BI and Tableau
  • Preparing CRM, customer data platform (CDP) and customer data platform (CDP) platforms in marketing analytics
  • Enhancing marketing analytics with automation
  • Understanding ethics and privacy of data collection and management
  • Hands-on exercise: A walkthrough of marketing analytics tools
• Product launch with enhanced marketing analytics
  • Designing products using data-driven strategies
  • Working on market and competition research using social listening tools and AI
  • Monitoring social media and sentiment analysis using tools and Python libraries
  • Segmenting and targeting customers using CRM data and Python for analysis
  • Creating targeted marketing content using AI-powered tools
  • Doing A/B testing for content and campaign optimisation
  • Hands-on exercise: Simulated market research using Python and third-party tools
    • Campaign planning using A/B testing, content creation and social media monitoring strategies
• Social media marketing with data insights
  • Creating social media content with generative AI tools and analysing audience engagement through social media analytics platforms
  • Campaign management and performance measurement using key metrics (reach and engagement)
  • Influencer marketing and measuring its impact through social listening tools
  • Community management and responding to online sentiment
  • Case study: Understanding key performance indicators (KPIs) for social media
  • Hands-on exercise: Meta campaign planning with data measurement setup
    • Influencer selection and performance measurement
    • Social listening simulation by analysing online brand mentions and sentiment
• Revamping an e-commerce website
  • Web traffic analysis with Google Analytics and visualisation tools (e.g., Tableau and Power BI)
  • User behaviour analysis using heatmaps and session recordings
  • Customer journey mapping and funnel analysis
  • Marketing mix modelling using a case
  • A/B testing for website design and layout changes
  • SEO optimisation strategies with keyword research tools
  • Case study: Optimising an e-commerce site based on data analysis to improve user experience and conversion rates
  • Hands-on exercise: Website analytics simulation with A/B testing and customer journey mapping
    • SEO keyword research using online tools
• Using AI for personalised marketing
  • Building and implementing personalised email marketing campaigns using Python
  • Dynamic content personalisation with CEP platforms
  • Conversational marketing with AI chatbots and CRM Integration
  • Customer segmentation and targeting based on data analysis with Python and CRM integration
  • Omni channel personalisation with tech
  • Ethical considerations in AI-powered marketing and data privacy regulations
  • Case study: Implementing AI-driven personalised marketing strategies to enhance customer engagement and loyalty
  • Hands-on exercise: Personalisation strategy development exercise based on customer segmentation and targeting
    • Build a simple email marketing campaign with personalisation elements
• Predictive analytics in marketing
  • Introduction to predictive analytics and its techniques
  • Customer lifetime value (CLV) predictions to inform about customer acquisition and retention strategies
  • Churn prediction and customer retention
  • Implementing proactive retention strategies based on churn predictions
• Increasing local business visibility online
  • Local SEO strategies, including Google My Business optimisation and citation building
  • Online reputation management through review monitoring and response strategies
  • Utilising local business listings and reviews on various platforms
  • Targeted advertising campaigns with location-based targeting on social media and search engines
  • Local analytics tools for measuring campaign performance
  • Mobile optimisation and tracking performance for measuring success
  • Case study: Helping a local business develop an online presence and attract more customers through targeted marketing
  • Hands-on exercise: Local marketing strategy simulation focusing on optimising online presence and targeted advertising
• Launching an international marketing campaign
  • Cross-cultural marketing strategies, including understanding cultural differences and adapting messaging accordingly
  • International SEO and SEM tactics, including keyword research in different languages and search engine optimisation for specific regions
  • Global market trend analysis with Python for identifying opportunities and potential challenges
  • Multilingual content creation with AI tools and translation considerations
  • Case study: Expanding a brand’s reach with an international digital marketing campaign, considering cultural nuances and digital insights
  • Hands-on exercise: International campaign planning activity
    • Focusing on adapting marketing strategies and content for the chosen target market
    • Cultural sensitivity training exercise to enhance diverse audiences
• Launching an international marketing campaign
  • Online reputation management during a crisis
  • Crisis communication strategies, including crafting appropriate messaging and utilising the right channels
  • Real-time social media monitoring and response using social listening tools
  • Analysing crisis impact using data analytics to track sentiment and measure recovery efforts
  • Case study: Managing a brand crisis using data analytics and effective digital marketing communication
  • Hands-on exercise: Crisis simulation
    • Practicing communication tactics and utilising data analysis to inform response strategies
    • Group discussion on ethical considerations in crisis communication and the importance of transparency
• Future of data marketing analytics
  • Introduction to future advances in analytics technology
  • Implementing analytics strategy with new skills

programme fees: INR 15,000 plus taxes