Periodic Table: AI Marketing & Sales
This AI Marketing periodic table pulls together all the key pieces of a solid AI-powered marketing strategy into one easy-to-follow guide. It's a blueprint for making a real impact and ensuring AI capabilities are fully integrated into your organisation’s processes and culture. With this, you can level up your marketing and ensure AI is part of the everyday way your team operates and grows.
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How the AI periodic table works
The AI Marketing Periodic Table meticulously defines the key categories, pillars and elements vital to running a progressive and dynamic, AI-enabled marketing function.
The 'elements' within the periodic table are split into categories - the core pillars of each are highlighted in full colour. Within each category, you'll find all relatable components to the group in the matching colour.
The five categories
NB: For design reasons, the layout varies from the chronological order in which you should create an AI marketing programme.
1/ AI-Based Commerce & Sales
AI-based commerce will transform sales strategies, from personalising customer experiences to automating tasks like lead generation and product recommendations. By analysing vast amounts of data in real-time, AI enhances decision-making, improves customer engagement, and helps businesses drive growth more efficiently.
2/ AI-Enabled Engagement & Activation
This category explores the tools and channels for AI-enhanced interactions between brands and customers, ensuring communications are personalised and relevant. By leveraging data insights and predictive analytics, businesses can effectively activate customer relationships, driving deeper engagement and improving conversion rates across various touchpoints.
3/ AI-Enhanced Productivity & Operations
This category is all about the processes needed to optimise workflows, automate repetitive tasks, and improve overall efficiency within an organisation. By analysing data in real time and providing actionable insights, AI empowers teams to make informed decisions, streamline processes, and ultimately boost productivity across various functions.
4/ AI-Powered Analytics & Insight
This category pulls together the elements needed to analyse vast amounts of data and uncover trends, patterns, and customer behaviours. This technology enables marketers to gain deeper insights into their audience, predict future actions, and tailor strategies for improved engagement and conversion rates.
5/ Data & Design
This category includes all the data management and design elements that help marketers supercharge marketing efforts by tapping into accurate and trustworthy data for targeted campaigns. By combining smart analytics, machine learning, and solid data governance, companies can craft personalised marketing strategies that respect privacy while boosting engagement and earning consumer trust.
6/ Generative AI
The elements in this category include automating content creation and management processes, enabling teams to produce high-quality assets more efficiently. By leveraging AI copywriting, dynamic asset sizing, and creative automation, marketers can generate tailored content across various formats, ensuring a cohesive and engaging experience for their audience.
7/ Strategy & Planning
These elements enhance marketing strategy and planning by enabling agile, data-driven approaches through the use of AI technologies and diverse mindsets. By incorporating AI agents and automation architectures, teams can streamline workflows and foster collaboration while adapting to ongoing transformations and making informed decisions.
How to use the AI periodic table
This AI periodic table is designed to support marketers in building out a marketing stack that's optimised for AI marketing.
It covers the essential elements, from the initial audit of existing AI elements to opportunities for AI enhancement to support your marketing teams. This AI marketing periodic table can support team-wide AI adoption and improve marketing and sales outcomes.
It can be used as a reassuring checklist for confident and effective AI integration within your existing marketing stack - as well as a guide for building out new stacks completely.