About This Course
In today's hyper-connected marketplace, the ability to collect, interpret, and act on digital data is no longer optional — it is the defining competency that separates high-performing marketing teams from those that rely on guesswork. Social media platforms generate billions of data points daily, and organisations that can translate this raw information into coherent strategy gain a decisive competitive edge.
This five-day Social Media and Digital Marketing Analytics Training course, developed by TrainingComplex, is designed to build that competency systematically. Participants will move beyond vanity metrics such as likes and follower counts to understand the deeper behavioural and conversion data that drives business outcomes. From setting up proper tracking infrastructure to building executive-ready dashboards, every module is grounded in real-world marketing practice.
The course covers the full analytics lifecycle: defining KPIs aligned to business goals, configuring analytics platforms, analysing audience demographics and behaviour, evaluating paid and organic campaign performance, conducting A/B testing, and presenting data-backed recommendations to stakeholders. Participants will work with industry-leading tools including Google Analytics 4, Meta Business Suite Insights, LinkedIn Campaign Manager, Google Looker Studio, and social listening platforms.
Whether you are a marketing manager seeking to justify budget decisions with hard data, a digital specialist aiming to sharpen your technical toolkit, or a communications officer responsible for brand performance, this programme will transform the way you plan, execute, and evaluate your digital marketing efforts.
Who Should Attend
- Digital Marketing Managers and Specialists
- Social Media Managers and Content Strategists
- Marketing Analysts and Research Officers
- Brand and Communications Managers
- Media Buying and Paid Advertising Professionals
- Marketing Directors and CMOs seeking data literacy
- Entrepreneurs and Business Owners managing their own digital presence
- PR and Corporate Communications Officers
- NGO and Development Sector Communications Staff
- E-commerce and Growth Marketing Professionals
Learning Objectives
- Understand the digital analytics ecosystem and the role of data in modern marketing strategy
- Configure and audit Google Analytics 4 (GA4) properties, events, and conversion tracking
- Analyse social media performance data across Meta, LinkedIn, X (Twitter), TikTok, and YouTube
- Identify and define meaningful KPIs and metrics aligned to specific business and campaign objectives
- Build professional marketing dashboards using Google Looker Studio and native platform reporting tools
- Conduct audience segmentation and behavioural analysis to inform content and targeting strategies
- Evaluate the performance of paid advertising campaigns and optimise for ROI and ROAS
- Apply A/B testing and experimentation frameworks to improve campaign outcomes
- Use social listening and sentiment analysis tools to monitor brand reputation and industry trends
- Translate analytics findings into clear, compelling reports and strategic recommendations for stakeholders
Course Modules
Module 1: Foundations of Digital Marketing Analytics
- The role of data in modern marketing strategy
- Key differences between social media metrics, web analytics, and business KPIs
- The analytics maturity model: from reporting to predictive insight
- Overview of the digital measurement ecosystem and data sources
- Understanding attribution models: last-click, linear, data-driven
- Introduction to privacy regulations and their impact on data collection (GDPR, cookie consent)
Module 2: Google Analytics 4 (GA4) — Setup and Configuration
- GA4 property structure: accounts, properties, data streams, and events
- Configuring key events and conversion tracking without developer dependency
- Exploring the GA4 interface: reports, explorations, and advertising workspaces
- Setting up audiences and segments for behavioural analysis
- DebugView and Tag Assistant: validating your tracking implementation
- Connecting GA4 to Google Search Console and Google Ads
Module 3: Social Media Platform Analytics — Meta, LinkedIn, and X
- Navigating Meta Business Suite Insights for Facebook and Instagram
- Key metrics for organic content: reach, impressions, engagement rate, and saves
- LinkedIn Analytics: follower demographics, post performance, and visitor insights
- X (Twitter) Analytics: tweet activity, audience insights, and top-performing content
- Comparing cross-platform performance using unified reporting approaches
- Identifying content formats and posting patterns that drive the highest engagement
Module 4: Video and Short-Form Content Analytics — YouTube and TikTok
- YouTube Studio analytics: watch time, audience retention, and traffic sources
- Understanding TikTok Business Center metrics and the For You Page algorithm signals
- Analysing click-through rates, view duration, and subscriber growth trends
- Building a content performance scorecard for video channels
- Using A/B thumbnails and titles: interpreting test results in YouTube
- Correlating video performance data with website traffic and conversion outcomes
Module 5: Defining KPIs and Building a Measurement Framework
- Aligning marketing KPIs to business objectives using the OKR and SMART frameworks
- Distinguishing between leading indicators and lagging indicators in digital marketing
- Designing a campaign measurement matrix before launch
- Setting realistic benchmarks using industry data and historical performance
- Documenting a measurement plan: template design and stakeholder sign-off
- Avoiding common KPI mistakes: vanity metrics, conflicting goals, and data overload
Module 6: Paid Advertising Analytics — Google Ads and Social Ad Platforms
- Google Ads reporting: impressions, CTR, CPC, Quality Score, and conversion rate
- Meta Ads Manager: understanding delivery, auction dynamics, and relevance diagnostics
- Key paid social metrics: CPM, CPA, ROAS, and frequency
- Audience performance analysis: which segments convert and at what cost
- Budget pacing, bid strategy analysis, and spend efficiency optimisation
- Building a paid campaign performance review cadence
Module 7: Audience Analytics and Segmentation
- Using GA4 Explorations to build custom audience segment reports
- Demographic, geographic, and psychographic analysis across platforms
- Behavioural segmentation: new vs. returning users, high-value converters, and drop-offs
- Funnel analysis: identifying where audiences disengage in the conversion journey
- Cross-device and cross-channel audience behaviour patterns
- Using lookalike and custom audiences informed by analytics data
Module 8: A/B Testing and Experimentation Frameworks
- Principles of controlled experimentation in digital marketing
- Designing a valid A/B test: hypothesis, variables, sample size, and duration
- Running A/B tests on landing pages, ad creatives, email subject lines, and CTAs
- Interpreting statistical significance: when results are actionable
- Multivariate testing vs. A/B testing: choosing the right approach
- Documenting experiments and building an institutional learning library
Module 9: Social Listening, Sentiment Analysis, and Brand Monitoring
- Introduction to social listening and its strategic role in marketing intelligence
- Key social listening platforms: Brandwatch, Mention, Sprout Social, and Talkwalker
- Configuring listening queries: keywords, hashtags, competitors, and brand mentions
- Sentiment analysis: interpreting positive, negative, and neutral signals at scale
- Using trend data to identify emerging topics and content opportunities
- Crisis detection and response: using real-time data to manage brand reputation
Module 10: Reporting, Data Storytelling, and Stakeholder Communication
- Building interactive dashboards in Google Looker Studio connected to GA4 and ad platforms
- Designing reports for different audiences: executive summaries vs. operational detail
- Data visualisation best practices: choosing the right chart for each insight
- Crafting a compelling data narrative: context, insight, implication, and recommendation
- Presenting analytics findings confidently to non-technical stakeholders
- Capstone project: delivering a full digital marketing analytics audit and strategic recommendation report
Requirements & Prerequisites
Participants should have a working understanding of basic digital marketing concepts such as social media management, content publishing, or online advertising. Familiarity with at least one social media platform from a business or marketing perspective is recommended. No advanced technical or statistical background is required, as the course is designed to build analytical skills progressively from foundational principles.
Training Methodology
- Hands-on platform walkthroughs using live accounts in Google Analytics 4, Meta Business Suite, and Looker Studio
- Case study analysis of real brand campaigns across FMCG, e-commerce, and non-profit sectors
- Small-group data interpretation exercises where participants analyse actual campaign datasets
- Dashboard-building workshops in which each participant constructs a functional reporting template they can deploy immediately
- A/B test design simulations where teams develop hypotheses, design experiments, and interpret results
- Social listening lab sessions using tools such as Brandwatch or Mention to track brand sentiment
- Daily reflection and application journals connecting each module to participants' own organisational contexts
- Peer critique sessions where participants present data stories and receive structured feedback
- Role-play stakeholder briefings in which participants present analytics findings to a simulated executive audience
- A capstone analytics audit project completed on the final day, producing a ready-to-use campaign performance report
Organisational Benefits
- Improved marketing ROI through data-driven campaign optimisation and reduced ad spend waste
- Stronger alignment between marketing activities and measurable business objectives
- Enhanced ability to justify marketing budgets with clear performance evidence
- Faster and more confident decision-making based on real-time analytics insights
- More effective audience targeting leading to higher conversion rates and customer acquisition
- Reduced reliance on external agencies through increased in-house analytics capability
- Improved cross-functional communication between marketing, sales, and leadership teams
- Competitive advantage through proactive use of social listening and trend intelligence
- A culture of continuous testing, learning, and optimisation within the marketing function
- Scalable reporting infrastructure that supports long-term strategic planning
Where Is Social Media and Digital Marketing Analytics Training Offered?
This course runs in-person across: Accra, Addis Ababa, Kisumu, Johannesburg, Dar es Salaam, Pretoria, Naivasha, Kampala, Arusha, Abuja, Nairobi, Kigali, Zanzibar, Nakuru, Riyadh, Mombasa, Dubai, Cape Town, Lagos, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Live Virtual |
Online |
19 Oct 2026 – 23 Oct 2026 |
KES 80,000 |
| Accra, Ghana |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,800 |
| Addis Ababa, Ethiopia |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,400 |
| Kisumu, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Johannesburg, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,500 |
| Dar es Salaam, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,300 |
| Pretoria, South Africa |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 3,300 |
| Naivasha, Kenya |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
KES 120,000 |
| Kampala, Uganda |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 1,900 |
| Arusha, Tanzania |
In-Person |
26 Oct 2026 – 30 Oct 2026 |
USD 2,100 |
| Abuja, Nigeria |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,800 |
| Addis Ababa, Ethiopia |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,400 |
| Live Virtual |
Online |
2 Nov 2026 – 6 Nov 2026 |
KES 80,000 |
| Arusha, Tanzania |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 2,100 |
| Pretoria, South Africa |
In-Person |
2 Nov 2026 – 6 Nov 2026 |
USD 3,300 |
+232 more dates — view live schedule →
Frequently Asked Questions
Do I need prior experience with analytics tools to attend this course?
No advanced experience is required. The course begins with foundational concepts and progressively introduces tools and techniques. A basic familiarity with social media platforms from a business perspective is sufficient to get started.
Which tools and platforms will we work with during the training?
Participants will work hands-on with Google Analytics 4, Meta Business Suite Insights, LinkedIn Campaign Manager, Google Ads, Google Looker Studio, and social listening platforms such as Brandwatch and Mention. Temporary access credentials and sample datasets are provided where participants do not have live accounts.
Will I receive a certificate upon completing the course?
Yes. Participants who attend all five days and complete the capstone project will receive a TrainingComplex Certificate of Completion in Social Media and Digital Marketing Analytics, which can be shared on professional profiles including LinkedIn.
Is this course suitable for someone who manages marketing for a small business or NGO?
Absolutely. The course is designed to be practical and scalable, with case studies drawn from a range of sectors including SMEs, non-profits, and large corporates. The tools and frameworks taught are applicable regardless of organisation size or budget.
Can my organisation arrange a private, customised version of this course for our team?
Yes. TrainingComplex offers in-house and organisation-specific deliveries of this programme, with the curriculum tailored to your industry, platforms, and specific business objectives. Please contact us directly to discuss your requirements and receive a customised proposal.
