Beginner: Google Analytics Fundamentals
Description:
Learn the basics of Google Analytics, including account setup, navigation, and core reporting. Understand key metrics like sessions, users, bounce rate, and traffic sources. This module covers how to interpret basic reports, set up goals, and track website performance for actionable insights.
Who It’s For:
Marketers, business owners, and beginners who want to understand website traffic and user behavior.
Intermediate: Advanced Reporting & Customization
Description:
Dive deeper into segmentation, custom reports, and dashboards. Learn how to set up filters, track campaigns with UTM parameters, and analyze user flow. This module also covers event tracking and enhanced e-commerce reporting for more granular insights.
Who It’s For:
Digital marketers, analysts, and mid-level professionals looking to optimize data-driven decision-making.
Advanced: GA4 & Data Analysis Techniques
Description:
Master Google Analytics 4 (GA4) with advanced features like custom dimensions, BigQuery integration, and predictive analytics. Learn cross-device tracking, data modeling, and how to leverage Machine Learning insights for deeper customer behavior analysis.
Who It’s For:
Data analysts, marketing managers, and advanced users who need predictive analytics and AI-powered insights.
Beginner: GTM Setup & Basic Tag Implementation
Description:
Learn how to set up Google Tag Manager, create containers, and deploy basic tags (e.g., Google Analytics, Facebook Pixel). Understand triggers, variables, and how to debug tags using Preview Mode.
Who It’s For:
Beginners who want to manage tracking codes without developer dependency.
Intermediate: Advanced Triggers & Data Layer
Description:
Explore complex triggers, custom event tracking, and data layer implementation. Learn how to track form submissions, scroll depth, and video engagement. Includes error handling and cross-domain tracking setups.
Who It’s For:
Marketers and analysts who need to implement advanced tracking without coding.
Advanced: Server-Side Tagging & Custom JavaScript
Description:
Master server-side tagging for improved performance and privacy compliance. Learn to write custom JavaScript variables, integrate with APIs, and optimize tag loading for faster websites.
Who It’s For:
Developers and advanced users managing complex tracking setups.
Beginner: Introduction to BigQuery & SQL Basics
Description:
Learn how to connect Google Analytics to BigQuery, run simple SQL queries, and export data for analysis. Understand tables, schemas, and basic data manipulation.
Who It’s For:
Marketers and analysts new to BigQuery who want to analyze large datasets.
Intermediate: Data Joins & Marketing Analytics
Description:
Learn advanced SQL queries, joins, and how to merge datasets from multiple sources (CRM, ads, GA4). Create custom reports and visualize data in Looker Studio.
Who It’s For:
Data analysts and marketers handling complex datasets.
Advanced: Machine Learning & Predictive Analytics
Description:
Use BigQuery ML to build predictive models (e.g., churn prediction, customer lifetime value). Learn automation with scheduled queries and advanced data transformations.
Who It’s For:
Data scientists and advanced analysts leveraging AI in marketing.
Beginner: GDPR & CCPA Fundamentals
Description:
Understand key privacy laws (GDPR, CCPA) and how they impact digital marketing. Learn cookie consent basics and how to implement simple consent banners.
Who It’s For:
Business owners and marketers needing compliance awareness.
Intermediate: Advanced Consent Mode & Tag Management
Description:
Implement Google Consent Mode, manage user preferences, and adjust tracking based on consent. Learn how to work with OneTrust/Cookiebot for dynamic compliance.
Who It’s For:
Privacy officers and marketers handling multi-region compliance.
Advanced: Server-Side Compliance & Auditing
Description:
Master server-side consent enforcement, data deletion workflows, and compliance auditing. Learn how to handle data subject access requests (DSARs) at scale.
Who It’s For:
Legal and tech teams managing enterprise-level compliance.
Objective:
Equip businesses with AI-driven strategies for marketing automation, predictive analytics, and customer experience optimization.
Sessions & Topics Covered:
Session 1: AI Foundations for Marketers
- What’s Covered:
- Introduction to AI, ML, and generative AI in marketing.
- Key AI tools (ChatGPT, Bard, Claude) and their use cases.
- Ethical considerations and limitations of AI.
- Takeaway: Understand how AI can enhance marketing workflows without replacing human creativity.
Session 2: Implementing AI in Customer Segmentation
- What’s Covered:
- Using AI to analyze customer data and predict behavior.
- Tools: Google Analytics 4 (GA4) predictive metrics, CRM AI integrations.
- Case studies on hyper-personalization.
- Takeaway: Learn how to automate audience targeting with AI-driven insights.
Session 3: AI-Powered Content & Chatbots
- What’s Covered:
- Automating content creation with AI (Jasper, Copy.ai, ChatGPT).
- Building AI chatbots for customer support (Dialogflow, ManyChat).
- Best practices for maintaining brand voice.
- Takeaway: Reduce manual content workload while improving engagement.
Session 4: Predictive Analytics & Forecasting
- What’s Covered:
- Using BigQuery ML for churn prediction and LTV modeling.
- AI-driven budget allocation for ad campaigns.
- Real-world applications in e-commerce and SaaS.
- Takeaway: Leverage AI to make data-backed marketing decisions.
Session 5: AI Compliance & Data Privacy
- What’s Covered:
- GDPR/CCPA implications for AI data usage.
- Consent management for AI tracking (e.g., facial recognition, chatbots).
- Auditing AI models for bias and fairness.
- Takeaway: Ensure AI adoption aligns with privacy laws and ethical standards.
Who Should Attend?
- Marketing teams, data analysts, and business leaders looking to integrate AI into their strategies.
Objective:
Help businesses achieve digital maturity by optimizing their technology stack, data infrastructure, and analytics capabilities for scalable, data-driven growth.
Sessions & Topics Covered:
Session 1: Digital Maturity Assessment & Roadmap
- What’s Covered:
- Evaluating your company’s digital maturity level (ad-hoc vs. data-driven vs. predictive).
- Key frameworks (e.g., Gartner’s Digital Maturity Model).
- Building a technology roadmap aligned with business goals.
- Takeaway: Identify gaps in your digital infrastructure and prioritize tech investments.
Session 2: Data Infrastructure & Governance
- What’s Covered:
- Setting up a single customer view (CDP, data warehouses).
- Data pipelines & ETL processes (BigQuery, Snowflake, Fivetran).
- Governance & compliance (GDPR, CCPA, data clean rooms).
- Takeaway: Ensure high-quality, unified data for decision-making.
Session 3: Advanced Analytics & Attribution
- What’s Covered:
- Moving beyond last-click: Multi-touch attribution (Shapley, Markov chains).
- Predictive analytics for customer lifetime value (LTV) modeling.
- Building custom dashboards (Looker Studio, Power BI, Tableau).
- Takeaway: Shift from descriptive to prescriptive analytics.
Session 4: Marketing Technology (MarTech) Stack Optimization
- What’s Covered:
- Auditing & streamlining your MarTech stack (avoiding tool sprawl).
- Automation & orchestration (Workato, Zapier, HubSpot workflows).
- AI-powered tools for personalization (Dynamic Yield, Adobe Target).
- Takeaway: Build a lean, efficient tech stack that drives ROI.
Session 5: AI & Machine Learning for Growth
- What’s Covered:
- Predictive lead scoring & churn modeling (BigQuery ML, Python).
- AI-driven dynamic pricing & recommendation engines.
- Implementing generative AI for hyper-personalized content.
- Takeaway: Leverage AI to automate and optimize growth strategies.
Session 6: Experimentation & CRO at Scale
- What’s Covered:
- Building a culture of experimentation (A/B, multivariate testing).
- Statistical significance & Bayesian testing approaches.
- Scaling tests across web, app, and email using feature flags.
- Takeaway: Make data-backed decisions instead of guesswork.
Session 7: Real-Time Decisioning & Customer Data Platforms (CDPs)
- What’s Covered:
- How real-time data activation improves customer experiences.
- CDP deep dive (Segment, mParticle, Salesforce CDP).
- Event-driven marketing (Kafka, AWS Lambda, Twilio Segment).
- Takeaway: Move from batch processing to real-time personalization.
Session 8: Measuring & Scaling Digital Maturity
- What’s Covered:
- KPIs for digital maturity (data literacy, automation adoption, etc.).
- Change management: Getting teams to embrace data-driven culture.
- Future-proofing your stack for Web3, privacy-first tracking, and AI.
- Takeaway: A long-term playbook for continuous digital evolution.
Who Should Attend?
- Data teams (analysts, engineers, CDO)
- Growth & marketing ops professionals
- Tech-forward CMOs & digital transformation leaders
- Startups & enterprises looking to move beyond basic analytics
Our Training Method
Training Workshops
We host online/ in-person training sessions. Our training sessions have both theoretical and practical components to ensure the knowledge is grasped.
Get a Free Consultation Today!
Why Helix Growth?
We’ve trained some of the biggest brands in the world with great success.
We ensure our content is kept up to date with all of the industry changes, and everything presented is clear and digestible within in the session.
We don’t just train your team, we provide the material and recordings afterwards, and we are always available for consultancy support afterwards if need be.