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Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: How a new AI model boosted offer acceptance by 17% and what that means for your next campaign.
🔧 AI Tool Of The Week: See how Mutiny uses AI to turn one-size-fits-all websites into personalised experiences.
🌟 Creator Spotlight: Alex Cinovoj shares how to move beyond prompting and start building simple AI agents that actually get work done.
💬 Killer Marketing Prompt Of The Week: Discover an easy way to turn brand colors, tone, and product shots into a cohesive grid plan.
🎥 YouTube Resource Of The Week: How To Train Google’s AI to Send You Customers.
Rethinking Discounts With AI
Offers That Adapt To The Customer
Marketers spend endless time tweaking headlines, polishing creative, and fine-tuning targeting. But what if the real difference maker isn’t any of those — it’s the offer itself?
A new model called SLM4Offer was trained to do exactly that, and in testing it boosted acceptance rates by 17 percent.
The secret is contrastive learning, which basically means teaching the model by showing it what works versus what doesn’t. Instead of just spitting out generic discounts, it learns the difference between an offer that converts and one that falls flat. Over time, it figures out how to frame deals so they land better with different groups of people.
That matters because most of us treat an offer as fixed. We set a discount, a bundle, or a promotion, and then build campaigns around it. SLM4Offer flips that. It treats the offer like something flexible. One customer might respond to urgency, another to exclusivity, another to a simple reframing of value. The model adapts in real time.
A 17 percent lift might not sound headline-grabbing, but at scale it’s huge. For an e-commerce brand moving thousands of transactions, that lift could mean millions in additional revenue without raising ad spend. It pushes AI beyond creative shortcuts into the mechanics of persuasion itself.
Of course, there are big questions to wrestle with. Personalised offers can quickly cross into territory that feels unfair if two customers compare notes and realise they’ve been shown different deals. Compliance guardrails and brand guidelines would need to be baked in from day one. Transparency also becomes important: are customers aware that offers are being dynamically tuned, and how much variation is acceptable before trust starts to erode?
For marketers who don’t have access to research-grade models, there are still lessons to take from this. Start by testing small variations in how you frame the same offer. Change the order of information, experiment with urgency versus value-led messaging, or adjust whether you lead with the benefit or the discount. Track how those micro-shifts perform across different segments. What SLM4Offer does automatically is something many teams can begin to approximate manually.
The bigger signal is that optimization is moving closer to the heart of persuasion. Offers are no longer just the foundation you build a campaign around. They’re becoming dynamic levers in their own right. And as this kind of technology moves from research into practice, marketers who already think about the offer as fluid will be better positioned to take advantage of it.
👥 OpenAI adds shared projects, smarter connectors, and security updates to ChatGPT for teams - Learn how shared projects, smarter connectors, and stronger security could streamline collaboration in ChatGPT.
⚖️ xAI sues OpenAI, alleging theft of trade secrets after lawsuit against former xAI employee - Get the backstory on a major legal clash shaping the future of AI talent, IP, and competition in the industry.
🎯 'No longer a choice': Neil Patel makes the case for AI personalisation at scale - See why personalization at scale is becoming a must-have and how to start building it into your strategy.
🗺️ IAB releases AI use case map for advertising professionals - Explore 84 practical ways AI is being applied across advertising, with ideas you can adapt to your own campaigns.
📅 This Gemini calendar hack shows why Google is uniquely placed to win in AI - Discover how Google’s AI is weaving into everyday workflows and what that could mean for productivity in marketing.
🎯 The Artificially Intelligent Enterprise - Do LLMs Care About Emojis?
💡 AI CIO - When AI Runs at Enterprise Scale
📻 AI Confidential Podcast - Days to Seconds: Harnessing Confidential AI Agents
Personalising Websites With Mutiny
Most website personalisation tools are either too technical or too slow to impact results. Mutiny changes that with an AI-driven platform that makes it easy to adapt headlines, calls-to-action, and proof points for different visitor segments without heavy coding or endless testing cycles.
Why It’s Gaining Traction
B2B buyers expect tailored experiences, but most websites still serve one-size-fits-all messaging. Mutiny helps teams deliver more relevant journeys by turning static sites into dynamic ones that speak directly to each visitor. Growth teams can launch targeted variations quickly, measure impact, and iterate without relying on engineers.
Key AI Features
AI-powered personalisation: Dynamically adapts content based on visitor profile or behaviour
Segment-specific messaging: Headlines, CTAs, and proof points shift for different audiences
Speed to market: Launch tests and variations quickly without technical bottlenecks
B2B focus: Designed for account-based marketing and high-consideration sales journeys
Performance tracking: See how each personalised experience impacts conversion
ALEX CINOVOJ - Learn how to move beyond prompts and start building simple AI agents that plan, act, and self-check — turning automation into reliable, scalable results for your team.
Inspo for Your Next IG Grid
Planning an Instagram grid can take forever, especially when you’re juggling client expectations, brand guidelines, and the need to make it all look cohesive. This week’s prompt is designed to help you generate grid layout inspiration that actually fits the brand. You’ll give the LLM a few key details — website URL, product type, desired tones, brand colors, and any campaign angles you want to lean into. For even better results, we recommend uploading a few product images so the tool can work them into the suggested posts and grid flow.
Think of this prompt as both a creative starting point and a client-friendly deliverable. You’ll walk away with a visual plan you can refine, plus something tangible to show stakeholders before committing resources.
Prompt:
You are a creative strategist helping me plan an Instagram grid layout for a brand.
Here are the details:
Website URL: [insert here]
Product(s): [insert here]
Brand colors: [insert here]
Desired tone and style (eg. playful, aspirational, minimal): [insert here]
Campaign angle or message focus: [insert here]
Instructions:
Generate a 3x3 grid concept (9 posts) that feels visually cohesive.
Suggest a theme for each row of the grid (eg. product storytelling, customer lifestyle, behind-the-scenes).
Describe the visual style of each post, incorporating the brand colors and uploaded product images where relevant.
Include caption ideas for each post that match the tone and campaign focus.
Suggest a posting sequence that makes the grid flow naturally.
End with a summary paragraph explaining the overall aesthetic and why it works for the brand.How To Train Google’s AI to Send You Customers
In this video, Neil Patel shows how to get your brand cited in AI Overviews and AI Mode, even if you’re not ranking #1.
“Today I wrote a breakup text, debugged a codebase, and named a pet hedgehog.”
