Research & Campaign Development
Structure audience and market research, develop campaign briefs, identify message angles, and create relevant content variations grounded in evidence and brand context.
CORPORATE TRAINING MARKETING WORKFLOW
Make Marketing Work Smarter with AI.
Equip your marketing team with practical AI skills to research audiences and markets, develop campaign briefs and content, analyze campaign performance, and design smarter workflows with no-code automation while keeping creativity, accuracy, and decisions in human hands.
Better Insights. Smarter Campaigns. More Efficient Workflows.
PROGRAM OVERVIEW
Practical AI for Real Marketing Workflows.
This program helps marketing professionals apply generative AI to campaign research, content development, performance analysis, and workflow automation. Participants learn to structure marketing context, turn evidence into campaign ideas, interpret performance data, and design practical automations while retaining human review over marketing decisions and published work.
Performance Insight & Optimization
Use AI to examine campaign data, distinguish findings from hypotheses, identify patterns and missing evidence, and develop actionable optimization recommendations.
Marketing Workflow Automation
Explore no-code automation with Make to connect marketing inputs, AI-assisted preparation, and structured outputs while retaining human approval before publication or action.
LEARNING OUTCOMES
Turn AI into a More Effective Marketing Practice.
Build practical skills to move from marketing questions to clearer insights, stronger campaign content, and more efficient workflows. Learn to use AI with the right context, verify its outputs, and keep human judgment at the center of every important decision.
Give AI the Right Marketing Context
Define objectives, audiences, evidence, brand constraints, and success criteria so AI-generated outputs are more relevant and easier to evaluate.
Develop More Focused Campaign Content
Turn research into campaign briefs, messaging angles, and content variations that reflect audience needs, available evidence, and brand direction.
Turn Campaign Data into Useful Insights
Examine performance data, identify patterns and gaps, distinguish findings from hypotheses, and develop recommendations grounded in available evidence.
Build Smarter Marketing Workflows
Design a practical no-code automation workflow that connects marketing inputs, AI-assisted preparation, structured outputs, and human review before action.
PROGRAM CURRICULUM
Practical AI for Real Marketing Workflows.
Explore four live workshop sessions covering responsible AI use, campaign research and content development, performance analysis, and workflow automation. Each session runs for two hours, for a total of eight learning hours.
Module Learning Objective
Identify suitable AI applications across marketing workflows, provide clear context and requirements, verify AI-generated outputs, and apply safeguards for privacy, copyright, brand consistency, and human judgment.
Learning Focus: Marketing Context & Responsible AI
Main Learning Outcome: Define marketing tasks suitable for AI, structure useful context, and evaluate outputs against evidence, requirements, and responsible-use principles.
Delivery Method: Live Workshop — Demo + Workflow Mapping Lab
Duration: 2 hours
- AI capabilities and limitations in marketing
- Mapping AI use cases across research, planning, content, analysis, and coordination
- Defining objectives, audience, evidence, constraints, channels, and success criteria
- Distinguishing facts, signals, assumptions, insights, and unsupported claims
- Privacy, copyright, brand consistency, accuracy, and human review
Module Learning Objective
Translate audience and market research into evidence-informed campaign briefs, clear messaging directions, and content variations aligned with campaign objectives and brand requirements.
Learning Focus: Research, Campaign Brief & Content
Main Learning Outcome: Develop a structured campaign brief and relevant content variations using research, audience context, supporting evidence, and brand direction.
Delivery Method: Live Workshop — Campaign Case Lab
Duration: 2 hours
- Setting research objectives and gathering supporting evidence
- Synthesizing audience, market, competitor, and customer information
- Translating insights into campaign objectives, propositions, and messaging angles
- Developing content variations for different audiences and channels
- Reviewing brand fit, claim accuracy, and content quality
Module Learning Objective
Interpret campaign performance data, distinguish observed findings from hypotheses, identify patterns and evidence gaps, and formulate grounded recommendations for campaign optimization.
Learning Focus: Findings, Insights & Optimization
Main Learning Outcome: Use AI to support campaign data interpretation and prepare evidence-based optimization recommendations and next-test ideas.
Delivery Method: Live Workshop — Data + Decision Lab
Duration: 2 hours
- Reading campaign data and defining analysis questions
- Distinguishing findings, insights, and hypotheses
- Identifying patterns, anomalies, and missing evidence
- Developing optimization recommendations and next-test ideas
- Preparing an executive campaign performance summary
Module Learning Objective
Design a practical, low-risk marketing workflow using Make and connected tools, with structured outputs, quality checks, and human review before publication or action.
Learning Focus: No-Code Automation & Human-in-the-Loop
Main Learning Outcome: Map and prototype a marketing workflow connecting requests, AI-assisted preparation, structured outputs, and human approval.
Delivery Method: Live Workshop — No-Code Automation Lab
Duration: 2 hours
- Distinguishing manual, AI-assisted, and automated tasks
- Selecting a practical, low-risk automation use case
- Mapping Trigger → Input → AI → Human Review → Publish / Action
- Connecting Google Forms, Sheets, Docs, Make, and an AI model
- Prototyping a campaign request workflow that produces a structured brief and content variations
- Checking output quality, missing context, brand consistency, and workflow improvements
HOW THE TRAINING WORKS
Learn It. Practice It. Apply It to Marketing.
The learning experience connects AI concepts with realistic marketing activities. Participants practice campaign development, performance analysis, and workflow automation while learning to evaluate AI-generated outputs and apply them responsibly at work.
01
Understand
Understand where AI can support marketing research, campaign planning, content development, and performance analysis while recognizing its limitations and the importance of reliable context.
02
Practice
Work through marketing scenarios by developing campaign briefs, creating content variations, interpreting campaign data, and mapping practical automation workflows.
03
Verify & Apply
Check factual accuracy, supporting evidence, audience relevance, and brand consistency before using AI-generated work. Retain human review before publication or action.
AI supports marketing professionals. It does not replace strategic thinking, creative judgment, or accountability for the work they publish and the decisions they make.
PROGRAM INFORMATION
A Practical Program Built Around Your Marketing Team.
This corporate training program combines guided instruction, hands-on marketing scenarios, campaign analysis, and workflow automation practice. The learning activities can be aligned with your organization's marketing priorities and workplace context.
Program Structure
- 4 structured learning sessions
- 2 hours per session, 8 hours in total
- Practical marketing workflow exercises
Learning Format
- Guided learning and demonstrations
- Hands-on campaign and data exercises
- Format and schedule discussed with the organization
Who Should Join
- Marketing professionals and marketing teams
- Digital marketers and campaign specialists
- Content, brand, and performance marketing teams
Final Project
- Develop an AI-assisted campaign workflow
- Create reusable prompts and content templates
- Define quality checks and human-review checkpoints
FREQUENTLY ASKED QUESTIONS
A Few Things Worth Knowing.
Learn how this program helps marketing teams apply AI to campaign development, performance analysis, and workflow improvement.
Have Specific Marketing Training Needs?
Let's discuss your team's marketing workflows, campaign priorities, and potential AI use cases.
Talk to Our TeamDo participants need technical or coding experience?
No coding background is required as a prerequisite. The program focuses on applying generative AI to marketing tasks, structuring effective prompts, reviewing outputs, and understanding no-code automation concepts.
Can the program be customized for our marketing team?
Yes. Learning priorities and practice scenarios can be aligned with your team's responsibilities, marketing channels, recurring tasks, and business context. The scope can be discussed before the program is finalized.
Can AI create campaign content automatically?
AI can assist with research, content drafts, message variations, and campaign planning. Participants learn to review accuracy, brand alignment, audience relevance, and unsupported claims before content is approved or published.
Will AI make marketing decisions for our team?
AI can help organize campaign data, identify potential patterns, and suggest areas for further investigation. Marketing professionals remain responsible for validating findings, evaluating recommendations, and making final decisions.
Does the program include workflow automation?
Yes. The curriculum introduces no-code automation using Make and an AI-assisted workflow prototype. Participants explore workflow mapping, connecting tools, validating outputs, and adding human review before important actions.
How long does the training take?
The planned program consists of four sessions, each lasting two hours, for a total of eight learning hours. The delivery schedule can be discussed based on your team's availability and organizational needs.
AI FOR MARKETING WORKFLOW
Ready to Make Your Marketing Workflows Smarter with AI?
Help your marketing team improve campaign preparation, turn performance data into useful insights, and build more efficient workflows with responsible AI support.