Certified Customer Engagement and Revenue Growth Analyst
- Duration: 8–12 Weeks
- Format: Instructor-Led (Virtual, Onsite, or Hybrid)
- Level: Intermediate to Advanced
- Capstone Project: Yes
- Certification: Issued upon completion
Course Overview
This program is designed to equip aspiring analysts, marketing professionals, and business strategists with hands-on expertise in leveraging customer data to drive strategic engagement and revenue growth. Participants will gain deep analytical skills, master modern digital tools, and build customer-centric strategies using real-world data.
Who Should Attend?
- Marketing and CRM professionals
- Business and data analysts
- Revenue and growth strategists
- Product and customer success managers
- Entrepreneurs and business developers
- Aspiring instructors in customer analytics
Learning Objectives
By the end of this program, participants will be able to:
- Collect, analyze, and interpret customer engagement data
- Use tools like SQL, Excel, Power BI, and GA4 to uncover insights
- Design optimized customer journeys and sales funnels
- Build dashboards to track engagement and revenue KPIs
- Recommend data-driven growth strategies for real business scenarios
- Present actionable insights to stakeholders using data storytelling techniques
Core Tools & Platforms Covered
- Microsoft Excel (Advanced)
- SQL (PostgreSQL/MySQL basics)
- Power BI / Google Looker Studio
- Google Analytics 4 (GA4)
- HubSpot CRM / Mailchimp (Basic CRM Automation)
- Optional: Python (Pandas & Matplotlib basics for data pros
Curriculum Structure
Module 1: Introduction to Customer Engagement & Analytics
- Defining customer engagement in the digital age
- Key engagement KPIs: CTR, NPS, churn, LTV, ARPU
- Understanding customer lifecycle and experience stages
Module 2: Customer Data Sources & Segmentation
- Internal vs. external data sources (CRM, web, social, surveys)
- Demographic, behavioral, and transactional segmentation
- RFM Analysis and customer profiling
- Tools: HubSpot, Mailchimp, Salesforce (overview)
Module 3: Customer Journey Mapping & Funnel Optimization
- Mapping customer journeys across channels
- Identifying drop-off points and engagement bottlenecks
- Conversion funnel stages and funnel analytics
- Creating touchpoint heatmaps and engagement flows
Module 4: Tools for Customer Engagement Analytics
- Canva Pro: From templates to custom brand kits
- SQL: Customer data queries, joins, segmentation
- Power BI / Google Looker Studio: Visual analytics and dashboards
- GA4: Web behavior, engagement tracking, and event analysis
Module 5: Revenue Metrics & Attribution Models
- CAC, CLV, ROAS, MRR, and churn modeling
- Attribution models: single-touch, multi-touch, linear, time-decay
- Cohort and retention analysis
- Linking engagement to revenue impact
Module 6: CRM, Email & Automation Analytics
- Email KPIs: open rate, click-through, bounce, unsubscribe
- CRM insights: lead scoring, conversion tracking, customer health
- Marketing automation metrics and A/B testing
- Tools: Mailchimp, HubSpot, ActiveCampaign basics
Module 7: Search Engine Marketing (SEO & Google Ads)
- Social engagement KPIs: impressions, reach, engagement rate
- Tools: Meta Business Suite, LinkedIn Analytics, YouTube Studio
- Building multichannel dashboards in Power BI or Looker Studio
- Basic brand sentiment and engagement score analysis
Module 8: Growth Experiments & Optimization
- Designing and running A/B and multivariate tests
- Using data to refine campaigns and improve ROI
- Growth loops, referral analytics, and virality metrics
- Tools: Google Optimize, VWO, Optimizely
Module 9: Strategic Engagement & Growth Planning
- Setting SMART goals tied to customer and revenue KPIs
- ICE/RICE scoring for prioritizing growth initiatives
- Building a data-driven customer growth playbook
- Aligning with marketing, sales, and product teams
Module 10: Capstone Project & Final Presentation
- Analyze real or simulated customer engagement data
- Develop a comprehensive growth strategy and dashboard
- Present actionable insights to a mock executive board
- Peer feedback and facilitator evaluation
Module 11: Capstone Projects & Portfolio Development
- Project 1: Complete Brand Identity Design for a real or fictional business
- Project 2: End-to-end Digital Marketing Campaign
- Presenting your work: storytelling, case writing, and peer review
- Portfolio preparation for job readiness or client acquisition
Module 12: Career & Freelance Launchpad
- Building your online presence and personal brand
- Navigating freelance platforms and proposals
- Setting up your own marketing/design agency
- Interview preparation and pitching your services
Certification Criteria
- Completion of all course modules
- Active participation in discussions and exercises
- Submission and presentation of Capstone Project
- Minimum 75% attendance and engagement
Bonus Sessions (Optional)
- Freelance & Job Market Preparation (Analytics Career Guide)
- Personal Branding for Analysts: LinkedIn & Portfolio Optimization
- One-on-one mentorship (subject to availability)
- Internship or shadowing opportunity (partner-dependent)