Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: Get a look at Pulse, ChatGPT’s new feature that delivers tailored daily briefings from your chats, calendar, and Gmail.
🌟 AI Use Case Of The Week: How Kellanova is using AI to predict which ad creative will hit KPIs before campaigns go live and how you can apply the same approach.
🎯 Killer Marketing Prompt: This week’s prompt shows you how to turn a customer’s daily routine into laser-focused ad hooks that feel natural and persuasive.
🎥 AI YouTube Resource Of The Week: Google Gemini’s latest updates showcase new ways AI can support productivity, learning, and creative projects.
Your Meta AI Chats Are About To Power Ads
Conversations Are About To Be The New Targeting Currency
Imagine chatting with Meta’s AI inside Instagram or Facebook and later scrolling through a feed that feels strangely in sync with your thoughts. Starting in December, that will not be by chance. Meta is about to fold the conversations people have with its AI assistants into the data it uses to personalise ads and recommend content. What you ask, the topics you explore, even the tone of those exchanges could soon shape what shows up in your feed.
For marketers, this is a fundamental shift. Instead of relying only on the usual signals like likes, follows, and browsing behaviour, Meta is tapping into real-time expressions of intent. Ask about marathon training plans and you become a more qualified prospect for running shoes. Explore ideas for dinner and you are a target for food delivery offers. The personalisation engine is no longer guessing at interest, it is listening directly to the way people frame their needs.
There is tension built in. Users will not have the option to turn this off, and regulators in places like the EU and UK have already held it back. But in markets where the rollout moves ahead, the implications are immediate. Ads will feel closer to the moment of intent, and creative strategies that anticipate the kinds of conversations happening inside Meta’s AI ecosystem will have an edge.
For brands, this is a reminder that the context in which ads appear is shifting again. If conversations with AI are becoming signals, the challenge is to meet audiences at the point where curiosity turns into intent and to do it in a way that still feels natural, timely, and welcome in their feeds.
🛒 From AI to aisles: How shoppers are balancing tech and touch in retail - Shoppers are embracing AI for speed and convenience but still crave the human side of in-store retail, a reminder for brands to balance digital efficiency with real-world connection.
📢 Inside ChatGPT’s first major brand campaign—OpenAI marketing leaders discuss the work - OpenAI is moving beyond product utility and into brand storytelling, showing how even AI companies are building emotional resonance to win long-term loyalty.
🎙️ AI wrote our radio campaign and we hit play - A finance brand used AI to script and produce an entire radio campaign, proving that generative tools can stretch into traditional media while cutting time and cost.
🛍️ Amazon launches AI agent for third-party sellers - Amazon has rolled out a 24/7 AI agent to help sellers manage listings, ads, and compliance, hinting at how autonomous agents could soon transform e-commerce marketing.
🎯 The Artificially Intelligent Enterprise - AI as Your Career Accelerator
💡 AI CIO - The Paradox of AI Reports
📻 AI Confidential Podcast - Are LLMs Dead?
How Nutella Used AI-Designed Jars To Sell Out Instantly
Nutella’s “Nutella Unica” campaign turned every jar into a one-of-a-kind collectible. Using a generative algorithm, Ferrero and Ogilvy & Mather Italia produced 7 million unique label designs, each stamped with its own code so no two looked the same.
How It Worked
Nutella defined brand-safe rules: which color palettes, patterns, shapes, and graphic constraints could be used.
The algorithm randomly combined these elements to generate unique label designs, while preserving recognisability with the Nutella logo and brand identity.
Each jar label was stamped with a unique identifier code so collectors could verify its uniqueness.
The jars went on sale across Italy, and all 7 million sold out within about a month.
Why It Worked
Exclusivity & collectibility — People hunted for “their” jar, treating it as a collectible rather than just a jar of spread.
Brand experience elevated — The campaign repositioned Nutella as playful and creative, not just functional.
Social buzz & UGC — Consumers shared photos of their unique jars, amplifying reach organically.
Sales + brand love uplift — The instant sell-out and social excitement reestablished emotional engagement with the brand.
The Product Naming Matrix
This prompt helps you generate smart, strategic name ideas for your next launch. Instead of spitting out random lists, it builds naming territories (like playful, heritage, or futuristic), scores each option for memorability, domain potential, and category fit, and gives you a shortlist you can actually use. Perfect for cutting through the noise and landing on names that stick.
You are a senior brand strategist with deep expertise in product naming, linguistics, and consumer psychology. Your task is to generate name territories and scored name options for a new product. Follow the structure exactly.
Context & Inputs
Product description: [brief description of product/service]
Key benefits/differentiators: [list 3–5 unique selling points]
Target audience: [demographic + psychographic description]
Tone/style desired: [e.g. premium, playful, minimalist, bold]
Brand guardrails: [words, concepts, or associations to avoid]
Competitors: [top 2–3 competitor brand names/products]
Priority considerations: [rank importance of memorability, domain availability, or category fit]
Instructions
Generate 5 distinct naming territories (such as descriptive, metaphorical, heritage, futuristic, playful).
Within each territory, propose 3–5 candidate names that are tailored to the product context.
For each name, provide the following in plain text format:
Name option: [the proposed name]
Memorability score (1–10): [your rating]
Domainability score (1–10): [your rating]
Category fit score (1–10): [your rating, where 1 = disruptive, 10 = safe]
Notes: [short explanation of why this name works or what to watch out for]
After listing all territories and names, provide a final summary highlighting the top 2–3 strongest candidates overall, with reasoning based on the input priorities.
Output Format Example (text-based)
Territory: Heritage & Trust
Rationale: Evokes authenticity and longevity, reassuring risk-averse buyers.
Name option: xxxxx
Memorability: 8
Domainability: 6
Category fit: 9
Notes: Stable and trustworthy, ideal for health-conscious buyers.
Name option: xxxxx
Memorability: 7
Domainability: 5
Category fit: 8
Notes: Warm and homely, but may feel dated in some contexts.21 NEW Things You Should Be Using AI For...
This walkthrough breaks down Google’s latest AI updates, including the just-released Chrome DevTools MCP server. You’ll see how AI coding agents can now debug websites directly in Chrome, test changes in real time, and even optimise performance with natural language prompts.
Welcome to the AI ping-pong Era 😆 🏓
