Introduction
The programme “Using Artificial Intelligence to Improve Advertising Campaigns” develops professional practice in Marketing. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from market analysis and marketing strategy development to customer experience development and complaint handling, with practical work on artificial intelligence applications and controls, data analysis and decision support, public relations, messaging, and content development. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Design a marketing direction based on a defined segment and measurable value in an application related to “Using Artificial Intelligence to Improve Advertising Campaigns”.
- Design an AI use case with verification criteria and human review.
- Turn available data into documented analysis that supports a specific professional decision.
- Prepare a public relations plan connecting audiences, messages, channels, and measurement.
- Design a service journey and complaint response based on customer needs and follow-up evidence.
Learning areas
1. Market Analysis and Marketing Strategy Development
- Analyze the market, competitors, and customers using appropriate data, and identify sample limitations and assumptions requiring testing.
- Segment the market, select the priority segment, and describe customer needs, behavior, and decision-making criteria.
- Build a clear value proposition and positioning, connecting them to service features and evidence supporting the marketing promise.
- Select the channel mix, content, and budget according to the customer journey, and define messages suited to each stage without overstating claims.
- Prepare a campaign pilot with reach, engagement, conversion, and cost indicators, and analyze results to adjust targeting, messages, and resource allocation. The application examines a case related to “Using Artificial Intelligence to Improve Advertising Campaigns”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Data Analysis and Decision Support
- Frame an analytical question linked to a specific decision, and define the unit of measurement, time period, and data needed to answer it.
- Check data quality for completeness, accuracy, consistency, and duplication, and document cleaning steps and limitations on reliance.
- Select appropriate comparisons, indicators, and charts, and distinguish statistical correlation from causal explanations of results.
- Interpret results in the work context, test assumptions and unusual values, and present alternatives and their associated uncertainty.
- Prepare an analytical report containing the finding, recommendation, data source and date, review owner, and next follow-up step.
4. Public Relations, Messaging, and Content Development
- Analyze stakeholders, information needs, and organizational image, and define a communication objective that can be assessed using clear evidence.
- Draft key messages supported by facts, check the source of each claim, and align the tone with the audience and context.
- Select media relations tools, content, events, and digital channels, and define editorial, review, and approval responsibilities.
- Prepare a statement, report, or digital content with a clear headline and structure and image usage rights, and check accuracy and readability.
- Measure communication outputs, audience engagement, and changes in understanding or behavior, distinguishing media reach from actual impact.
5. Customer Experience Development and Complaint Handling
- Define customer groups, expectations, and touchpoints, and map an actual journey including waiting, effort, and information exchange.
- Analyze the voice of the customer, complaints, and feedback, classifying recurring causes and linking them to the process, product, or communication channel.
- Set response, resolution, and escalation standards that consider the problem's impact, staff authority, and message clarity for the customer.
- Simulate a difficult service situation, applying listening, empathy, and fact verification, and offer a feasible solution or alternative.
- Build indicators for resolution time, complaint recurrence, and experience quality, and use results to address root causes and monitor impact.
Practical outputs
- A marketing plan covering segments, value proposition, channels, and outcome measures.
- A use case brief and a test template for the quality of AI outputs.
- A dashboard and decision memo explaining the data, assumptions, and alternatives.
- A communication plan, message file, and publication-ready media content sample.
- A customer journey map, complaint response guide, and service quality cards.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in marketing, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Using Artificial Intelligence to Improve Advertising Campaigns” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Using Artificial Intelligence to Improve Advertising Campaigns” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.