AI-Assisted Marketing Forecasting and ROI Course

Name: AI-Assisted Marketing Forecasting and ROI Planning Course
Availability: InStock

Turn marketing evidence into forecast scenarios, budget options, experiments, and accountable ROI decisions.

AI-Assisted Marketing Forecasting and ROI Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Rome, Athens, Paris, Amsterdam, London, Berlin and more
Next session: 5 – 9 October 2026, Rome
Average fee: 5,800 €

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AI-Assisted Marketing Forecasting and ROI Planning Course

Overview

AI-Assisted Marketing Forecasting and ROI Planning Course is a five-day course for marketing managers, campaign planners, brand teams, growth personnel, marketing analysts, and budget owners, who leave with an AI-Assisted Marketing Investment Toolkit. Participants frame investment questions, document data boundaries, compare forecast scenarios, allocate budgets, test incremental impact, and present traceable ROI recommendations while retaining human approval. Agile Leaders Training Center provides training in AI-assisted marketing forecasting and ROI planning.

Who Should Attend

Marketing leadership personnel responsible for strategy, investment priorities, and performance oversight
Campaign planning personnel responsible for channel choices, forecasts, and budget recommendations
Brand personnel responsible for audience assumptions, positioning decisions, and campaign evidence
Growth personnel responsible for experiments, incremental impact, and investment adjustments
Marketing analysis personnel responsible for data quality, attribution boundaries, and performance reporting
Budget owners responsible for ROI review, approval, and resource allocation

The course assumes participants make or support marketing investment decisions, and it leaves out content creation, campaign automation, sales forecasting, model development, and advanced statistical modeling.

Departments and Industries

The course supports marketing investment decisions across consumer, business, service, public, and nonprofit settings.

Marketing strategy and planning
Brand and campaign management
Growth and customer acquisition
Retail and consumer services
Financial and professional services
Public and nonprofit communications

Learning Objectives

By the end of this course, participants will be able to:

Diagnose marketing investment questions and decision boundaries
Analyze audience, channel, data, and attribution assumptions
Build forecast scenarios and compare budget options
Apply experiment designs to evaluate incremental impact
Evaluate KPI, ROI, risk, privacy, and bias evidence
Build an AI-assisted marketing investment toolkit

Course Agenda

Day 1: Questions, Measures, and Boundaries

Marketing Investment Question Canvas
KPI and ROI Definition Sheet
Decision Horizon and Stakeholder Map
Data Source and Attribution Boundary Register
Privacy, Bias, and Human Approval Charter

Day 2: Audience and Channel Assumptions

Audience and Channel Assumption Matrix
Campaign Data Quality and Completeness Checklist
Baseline and External Driver Register
Attribution Method Limitation Grid
Assumption, Gap, and Uncertainty Log

Day 3: Forecast and Budget Scenarios

Demand and Campaign Forecast Brief
Scenario Range and Sensitivity Table
Budget Allocation Option Matrix
Forecast Evidence and Validation Checklist
Risk, Constraint, and Dependency Map

Day 4: Experiments, ROI, and Reporting

Experiment Hypothesis and Test Design Canvas
Incremental Impact and Control Comparison Sheet
Marketing ROI Calculation and Review Record
Investment Narrative and Recommendation Template
Approval, Monitoring, and Adjustment Dashboard

Day 5: Marketing Investment Practice

Suggested Exercise: Frame an Investment Question and Measures
Suggested Exercise: Audit Audience, Channel, and Data Assumptions
Suggested Exercise: Compare Forecast and Budget Scenarios
Suggested Exercise: Design an Incremental Impact Test and ROI Review
Capstone Exercise: AI-Assisted Marketing Investment Toolkit

Practical Exercises

The course uses suggested activities that turn marketing evidence into reviewable investment decisions.

Suggested activity: frame a decision, define measures, map stakeholders, and record data and attribution boundaries
Suggested activity: inspect audience, channel, baseline, external-driver, and uncertainty assumptions for a retail or service campaign
Suggested activity: compare forecast ranges and budget options, then document evidence, risks, constraints, and dependencies
Suggested activity: design an experiment, calculate ROI, prepare an investment narrative, and assign approval and monitoring actions

FAQs

Who suits AI-assisted marketing forecasting and ROI planning, and what does it assume?

AI-assisted marketing forecasting and ROI planning suits personnel who shape campaigns, analyze evidence, recommend budgets, or approve marketing investment. It assumes practical involvement in marketing decisions.

How does AI-assisted marketing forecasting differ from marketing automation?

AI-assisted marketing forecasting supports assumptions, scenarios, budget choices, experiments, and ROI decisions, while marketing automation executes repeatable campaign actions, messages, and workflows.

How should marketing teams validate AI-assisted forecasts?

Marketing teams should compare forecasts with baselines, document external drivers and missing data, test sensitivity, inspect uncertainty, check evidence against actual results, and require accountable human review.

How do experiments strengthen marketing ROI decisions?

Experiments strengthen marketing ROI decisions by stating a hypothesis, defining comparison groups and measures, separating incremental impact from observed correlation, and recording limitations before investment changes are approved.

What belongs in an AI-Assisted Marketing Investment Toolkit?

The toolkit should contain decision questions, KPI definitions, data boundaries, assumptions, forecast scenarios, budget options, experiment designs, ROI records, risks, narratives, approvals, monitoring, and adjustment actions.

Conclusion

Participants take back an AI-Assisted Marketing Investment Toolkit linking questions, measures, assumptions, forecasts, budget options, experiments, ROI evidence, risks, and approvals. It changes how teams move from informal predictions to traceable investment choices. The toolkit supports consistent review, accountable decisions, and measured adjustment.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 76 events

Location	Dates	Duration	Mode	Price
Amsterdam	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€5,700
Vienna	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€5,700
Zanzibar	Week 02, 2027 17 – 21 January 2027	5 Days	Onsite	€5,500
London	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€4,700
Cape town	Week 04, 2027 31 January – 4 February 2027	5 Days	Onsite	€4,500
Singapore	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€5,700
Bangkok	Week 06, 2027 14 – 18 February 2027	5 Days	Onsite	€6,000
Dubai	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€4,500
Seoul	Week 08, 2027 22 – 26 February 2027	5 Days	Onsite	€10,000
Cairo	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€4,100
Munich	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€5,700
Frankfurt	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Nairobi	Week 10, 2027 14 – 18 March 2027	5 Days	Onsite	€4,500
Zoom	Week 11, 2027 15 – 19 March 2027	5 Days	Online	€1,500
Tokyo	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€10,000
Tbilisi	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€5,000
Madrid	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€5,700
Rome	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€5,700
Baku	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€5,000

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Marketing Forecasting and ROI Planning Course is a five-day course for marketing managers, campaign planners, brand teams, growth personnel, marketing analysts, and budget owners, who leave with an AI-Assisted Marketing Investment Toolkit. Participants frame investment questions, document data boundaries, compare forecast scenarios, al…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI-Assisted Marketing Forecasting and ROI Course