Paid Ads: From Clicks to Revenue
Learn how to create, manage, measure, and optimize paid advertising campaigns that deliver real business results.
- Run Google Ads end to end
- Connect clicks to closed revenue
- Bring AI into your ad workflow
Clicks → revenue
Connect ad spend to pipeline and closed deals
Real measurement
Tracking, attribution, and CRM-backed reporting
AI-native advertising
OpenAI Ads and AI-assisted campaign workflows
What you'll learn
Day 1
09:00 – 09:30
Welcome, introductions, and networking session.
09:30 – 12:00
Paid Advertising Fundamentals & Google Ads Masterclass. Practical use cases, campaign strategy, targeting, measurement, and optimization.
12:00 – 13:00
Lunch Break.
13:00 – 15:00
Individual Consultations. Dedicated 1:1 sessions with instructors to discuss participants' business challenges, advertising accounts, and growth opportunities.
15:00 – 17:00
OpenAI Advertising Workshop. Hands-on workshop exploring AI-powered advertising tools, campaign setup, practical applications, and discussion with industry specialists.
Day 2
09:30 – 10:00
Morning Coffee & Recap. Review of key takeaways from Day 1, discussion of participant questions, and industry trends.
10:00 – 12:00
Advanced Campaign Optimization Workshop. Practical session covering campaign audits, budget allocation, conversion improvement, reporting best practices, and real-world optimization scenarios.
12:00 – 13:00
Lunch Break.
13:00 – 14:30
AI for Marketing Productivity. Hands-on workshop exploring how AI tools can support campaign planning, content creation, audience research, reporting, and workflow automation.
14:30 – 15:00
Closing Session & Action Planning. Key learnings, individual action plans, recommended next steps, and networking.
About the programme
This is a highly intensive course that provides a deep, structured overview of paid media and how it influences the pipeline. We run it twice a year, offline only.
We leverage traditional approach and believe in the in-person collaboration, hands-on work and live brainstorming sessions. We avoid dependencies on internet quality, microphone setups, or other technical distractions, we focus on the quality of learning and interaction.
Group sizes are limited to a maximum of 6 participants to ensure a highly personalised experience. Each participant is assigned a personal advisor for 1:1 sessions, who will also remain available to answer questions for up to one month after the course.
