Data Analysis for Digital Marketing
Turn digital marketing data into decisions. Participants integrate GA4, social and ad-platform data with sales figures, measure CAC, CLV, ROAS and ROI, choose attribution models, build dashboards in Looker Studio and Power BI and forecast campaign performance.
At a glance
- 5 days
Who it's for
- Digital marketing managers & specialists
- Performance marketers & paid-media analysts
- Marketing & data analysts
- E-commerce & growth marketers
- Business owners & marketing consultants
Learning objectives
- Integrate GA4, Meta, LinkedIn and other platform data with sales and finance figures
- Measure CAC, CLV, ROAS and ROI and choose attribution models
- Build dashboards in Looker Studio and Power BI
- Forecast campaign performance and optimise budgets
- Use AI and automation for segmentation and insights
Detailed content
- Extracting data from GA4, Meta, LinkedIn
- Merging with sales & revenue data
- Automating imports via APIs & Google Sheets
- Cleaning & structuring data
- CAC, CLV, ROAS, conversion
- Linking marketing & business metrics
- Attribution: first/last-click, multi-touch, data-driven
- Optimising acquisition cost
- Dashboards in Looker Studio & Power BI
- Advanced PivotTables
- Excel & Power Query automation
- Visual storytelling
- Time series
- Regression
- Trends & seasonality
- Budget allocation optimisation
- AI audience segmentation
- Automated reporting
- ML-based personalisation
- Google Ads & Meta AI insights
Day-by-day agenda
A typical schedule. In-company versions are tailored to your processes, data and timing.
- Advanced Data Collection & Integration
- Performance Metrics & ROI
- Processing & Visualisation
- Predictive Analytics & Forecasting
- Automation & AI-Driven Insights
- Case study, action plans and course assessment
Practice, tools and assessment
Hands-on practice
- Supply-chain mapping of one product family
- ABC/XYZ inventory analysis and safety-stock calculation
- Supplier evaluation and negotiation role play
- Hands-on lab on your laptop with a real business data set
Tools and templates you keep
- Inventory policy and safety-stock calculator (Excel)
- Supplier scorecard template
- S&OP meeting pack
- Practice files and solution workbooks
How learning is assessed
- Pre- and post-course knowledge check
- Assessment of practical exercises by the trainer
- Action plan reviewed at the end of the course
Built on these standards and bodies of knowledge
- ASCM (APICS) CPIM / CSCP Body of Knowledge
- SCOR Digital Standard
- CIPS procurement framework
Certificate
Excellence Center Certificate of Attendance
Prerequisites: Basic digital marketing metrics (ROI, CAC, CLV); Experience with GA4/Meta Ads; Excel/Google Sheets (PivotTables, formulas)
How it is delivered
- Public courses in Cairo, in-company programs and live online training
- Practical exercises, case studies and examples from your sector
- Can also run as Train & Stay in Sharm El Sheikh, Hurghada or Cairo
Part of these career paths
- Customer Experience & Sales · Expert
Frequently asked questions
How long is Data Analysis for Digital Marketing?
The program runs 5 days. In-company versions can be adapted to your needs.
Is the course taught in Arabic or English?
Sessions are usually delivered in Arabic with English technical terms and materials. Full English delivery is available for in-company groups.
Can you run it inside our company?
Yes. In-company programs use exercises built on your own processes. Tell us the group size and preferred timing and we will send a proposal.
Will I receive a certificate?
Participants who complete the program and its assessment receive a certificate from The Excellence Center, which can be verified online.
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Get dates, fees and the full outline.
Tell us whether you are joining as an individual or planning a program for your team.