Say what worked, what did not, and on what evidence.
Next intake: Monday 5 October, with enrolment open until 2 October. The following one starts on 4 January 2027.
Build a tagging plan from the expected indicators
Configure a tag manager: triggers, variables, testing
Handle consent and the degraded measurement that results from it
Analyse traffic, journeys, funnels, segments and cohorts
Recognise a misleading comparison: seasonality, base effect, changed scope
Compare attribution models and know their biases
Calculate acquisition cost, customer lifetime value and break-even point, then reallocate a budget
Systematic alternation between short theory sessions and practical work, with most of the time spent on practice
Progression from simple to complex: each module builds on what was learnt in the previous one
Realistic role-plays drawn from Cameroonian business cases
Considered use of generative AI as a working tool, in line with the common core
Regular formative assessments and a final integrative project drawing on all four modules
Formative assessment at the end of each module (graded role-play and practical exercises)
Practical work assessed against competency sheets
Final integrative project, presented and defended before the trainer
One graded assignment per module in the online course space
Google Analytics 4
Google Tag Manager
Looker Studio for dashboards
A consent management tool
Spreadsheet for profitability calculations
A session recording tool
Sessions open every quarter. Apply now or request the detailed brochure — our advisers will get back to you.