AI Applications for Sales and Marketing Professionals
AI Training
Discover how AI can transform your sales and marketing. Learn to apply tools like ChatGPT and Salesforce Einstein, optimise lead scoring and campaigns, and build ethical and compliant AI strategies in a hands on, results driven course.
From £299 per person
Discounts for groups of 6+
Discounts for groups of 6+
From £299
Per person
Onsite
Live online
1 day
Target Audience:
Sales professionals, marketers, campaign strategists, business development leads, and commercial operations teams looking to apply AI in real world business scenarios.
Prerequisites:
Basic familiarity with sales and marketing tools (e.g. CRM or campaign platforms).
No coding or technical experience required.
7 lesson covers:
AI Foundations for Sales and Marketing Teams
This module introduces key AI concepts relevant to sales and marketing, including machine learning, natural language processing, generative AI, and computer vision. Participants will explore leading AI platforms like Salesforce Einstein, HubSpot, and Drift. You will learn how AI shapes B2B buyer behaviour through predictive analytics and personalisation. Real-world case studies demonstrate successful AI applications, alongside best practices transferable across industries.
AI-Powered Sales Optimisation Strategies
Discover how AI can automate routine sales tasks, freeing your team to focus on high-value activities. Learn to implement predictive lead scoring models to prioritise prospects more effectively. Explore AI sales assistants and conversation analytics tools that boost conversion rates, and improve sales forecasting accuracy with machine learning. Practical exercises include configuring lead scoring parameters and role-playing sales scenarios enhanced by AI coaching.
AI Applications in Marketing Operations
This module covers campaign automation and hyper-personalisation techniques driven by AI. You’ll gain insight into AI-powered content generation while maintaining brand voice consistency. Learn how programmatic advertising optimisation leverages reinforcement learning to maximise impact. Participants will analyse customer journey mapping and micro-moment identification, supported by case studies showing measurable improvements in marketing KPIs. The module also explores dynamic budget allocation based on real-time data.
AI Implementation and Governance Strategy
Build a phased roadmap for adopting AI within commercial teams, focusing on defining essential data infrastructure and integration strategies. Establish ethical governance frameworks to mitigate bias and ensure responsible AI use in customer-facing applications. Understand compliance requirements such as GDPR and CCPA. Learn how to measure ROI through attribution modeling and productivity metrics. Group exercises focus on analysing common implementation pitfalls and developing effective remediation plans.
AI Pilot Project Simulation and Testing
Gain hands-on experience configuring an AI campaign optimiser in a simulated environment. Learn to set constraints that maintain brand safety and adhere to ethical standards. Define clear success metrics and design comprehensive test plans to evaluate AI initiatives. Scenario planning exercises will help you forecast outcomes by adjusting key variables. Finally, you’ll create compelling presentations to secure stakeholder buy-in for your AI investments.