Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

🚨 AI Top Story: Discover why enterprises are investing heavily in tailored AI data—and how marketers can benefit.

📊 AI Case Study Of The Week: See how Euroflorist boosted conversion rates by 4.3% with AI-driven multivariate testing and real-time optimisation.

🎯 Killer Marketing Prompt: Turn custom data into precision marketing insights using ChatGPT’s analytical power.

🌟 Creator Spotlight: Meet Chris Donnelly, an entrepreneur and founder of The Creator Accelerator, sharing insights on business growth, personal development, and the creator economy.

Why Companies Are Investing Heavily in Purpose-Built AI

High Rollers In AI Data To Reshape Marketing In 2025 & Beyond

The demand for custom AI datasets is skyrocketing as businesses race to build smarter, more precise AI models tailored to their unique needs. Unlike generic data, which is widely available and often used across multiple industries, custom data is specifically created or collected to suit a particular company’s goals, market, and audience. By using custom data, businesses can train AI models that deliver more relevant insights, better personalisation, and higher accuracy.

Generic datasets are like pre-made ingredients—they work, but they may not be ideal for your recipe. Custom datasets, on the other hand, are like hand-picked ingredients designed to make your AI solution work perfectly for your specific needs. For example, in healthcare, custom data might include highly specific patient records, while in retail, it could mean detailed purchase behaviour from niche customer segments.

This shift is driven by the fact that AI tools can only be as good as the data they’re trained on. If businesses rely on broad, generic data, they risk producing AI outputs that are less relevant, less engaging, and sometimes even biased. That’s why companies are investing heavily in creating custom datasets through tools like Amazon SageMaker Ground Truth and Labelbox, which allow them to label, refine, and structure data according to their exact requirements.

For marketers, this trend represents both a challenge and a massive opportunity. Without high-quality, custom data, AI-driven marketing tools can struggle to deliver the kind of precise targeting and personalised experiences that consumers now expect. By leveraging tailored data, marketers can create hyper-relevant campaigns, improve ROI, and gain a competitive edge.

Investing in better, more specialised data ensures marketers can stay ahead of the curve, deliver more value to their customers, and ultimately, drive better results.s

🧘‍♀️ The AI Anxiety Antidote: A Self-Care Toolkit for Marketers - Feeling overwhelmed by AI? This toolkit offers strategies to stay grounded while navigating AI-driven marketing.

🤖 From AI Agents to Beyond LLM - These Are AI Marketing Trends for 2025 - Discover the key AI marketing trends shaping 2025, from advanced agents to post-LLM innovations.

⚡ The AI-Enabled Marketer: Amplifying Agility and Adaptivity in a Connected World - Learn how AI is empowering marketers to be faster, more adaptable, and smarter in a hyper-connected world.

👗 Fashion Meets AI - Explore how AI is transforming fashion tech and e-commerce, redefining how brands engage and sell.

5 AI Tools for Smarter Marketing

GENIUS.AI is a powerful AI-driven tool designed to improve customer engagement through personalised messaging

Predictive Messaging: Analyses customer behaviour to deliver highly targeted messages.

Automation Workflows: Creates smart workflows that automate customer interactions.

Personalised Campaigns: Generates tailored content for each segment to boost engagement.

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GETRESPONSE is An AI-enhanced email marketing platform that helps businesses grow their audience and automate communication.

AI-Driven Email Creation: Generates high-converting email copy based on your inputs.

Smart Audience Segmentation: Uses AI to group subscribers based on behaviour and preferences.

Campaign Optimisation: Continuously learns from performance data to improve future campaigns.

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ADCREATIVE.AI is a creative AI tool that generates high-performing ad creatives for digital marketing campaigns.

AI-Generated Ad Creatives: Quickly produces visuals and copy optimised for platforms like Facebook and Google.

Performance Insights: Analyses which creatives are likely to perform best based on historical data.

Multi-Platform Support: Supports ad generation for multiple platforms, ensuring consistency across channels.

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CREATIFY An AI-powered tool that creates stunning visual content for marketing campaigns in minutes.

Automated Graphic Design: Generates professional-quality designs tailored to your brand.

Template Library: Offers a wide range of templates for ads, social media posts, and banners.

Customisation Options: Allows for easy edits to fine-tune designs to fit specific campaign needs.

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SCALENUT is a comprehensive AI-driven content creation platform designed to help marketers produce SEO-friendly content.

AI Writing Assistant: Helps draft high-quality, long-form content with minimal input.

SEO Optimization: Provides real-time suggestions to ensure your content ranks well in search engines.

Content Planner: Offers an AI-driven strategy tool for planning content topics and timelines.

SCHEDULE A DEMO

CHRIS DONNELLY - Discover Pro Tips For Repurposing Content

Euroflorist’s AI-Driven Website Optimisation

Campaign Overview

Euroflorist, a leading European online florist, recognised the need to enhance its digital presence to remain competitive in the rapidly evolving online marketplace. The company’s primary goal was to increase website conversion rates by improving user experience and offering a more personalised shopping journey. To achieve this, Euroflorist adopted an AI-driven strategy that focused on massively multivariate testing to identify the best-performing website design elements.

The Strategy

AI-Powered Multivariate Testing

What They Did:

Partnered with Evolv AI, a platform designed for massively multivariate testing, allowing Euroflorist to simultaneously test thousands of website variants.

Identified key variables such as layout, color schemes, call-to-action buttons, and product placement for optimisation.

Created multiple variants of the website, each incorporating different combinations of the identified variables.

Why It Worked:

Enabled rapid experimentation, accelerating the process of finding optimal designs for higher conversion rates.

Reduced the reliance on traditional A/B testing, allowing Euroflorist to test a broader range of variables in less time.

Improved decision-making by leveraging real-time data and AI-driven insights.

Real-Time Data-Driven Optimization

What They Did:

Used AI to monitor user interactions in real time, gathering data on how visitors responded to different design elements.

Continuously analysed user behaviour to refine website design and content, ensuring the best-performing combinations were retained.

Why It Worked:

Allowed for ongoing improvement as the AI continuously learned and adapted based on user behaviour.

Improved user engagement by offering a more intuitive and visually appealing website experience.

Enhanced Customer Experience

What They Did:

Deployed AI-driven personalisation tools on their e-commerce platform to recommend products based on user behaviour and preferences.

Enhanced in-store experiences by using AI to predict optimal staff allocation and reduce wait times.

Why It Worked:

Increased conversion rates on e-commerce platforms by showing customers items they were more likely to purchase.

Improved in-store efficiency and customer satisfaction by reducing operational bottlenecks.

Key Results

Conversion Rate Increase: Achieved a 4.3% uplift in website conversion rates, leading to higher sales and revenue.

Optimised User Experience: Created a more user-friendly and appealing website, resulting in improved customer satisfaction.

Reduced Bounce Rate: Fewer visitors left the site without making a purchase, increasing engagement and time spent on the platform.

Key Takeaways

Leverage AI for Multivariate Testing: Using AI to test multiple website variables simultaneously can significantly accelerate the optimisation process.

Adopt Continuous Optimisation: AI-driven strategies allow for real-time analysis and continuous improvement, ensuring long-term success.

Focus on Data-Driven Design: Relying on high-quality data rather than assumptions leads to better design decisions and higher conversion rates.

ChatGPT-Powered Custom Data Analysis

You are a marketing strategist for [Business Name], tasked with improving [specific marketing goal: e.g., customer acquisition, lead nurturing, conversion rates] based on historical data.

Start by analysing the following pre-structured dataset:

Customer Segments: [Key audience segments with brief descriptions]

Campaign Performance: [Summarised metrics: CTR, CPC, ROI]

Sales Trends: [Sales growth or decline by product category, region, or time period]

Content Engagement: [Engagement metrics across platforms like email, social media, and ads]

Based on this data, provide:

Opportunities: Identify key areas for improvement or optimization, ranked by priority.

Targeted Strategies: Suggest actionable strategies tailored to each customer segment. 

Focus on:

Personalised campaigns for high-priority segments.

Cross-sell and upsell opportunities for existing customers.

New product launches or promotions to re-engage dormant users.

Campaign Iterations: Recommend variations in messaging, CTAs, visuals, and timing for future campaigns.

Metrics to Track: Highlight key metrics to monitor over the next quarter to measure performance and guide further optimisation.

How Users Reported Success With This Prompt:

Input Clarity: Users reported better outcomes by structuring their data in simple bullet points or concise tables, ensuring ChatGPT could interpret it correctly.

Focused Output: Asking ChatGPT to prioritise opportunities and provide tailored recommendations resulted in actionable insights that could be immediately implemented.

Iterative Prompting: Users found success by revisiting ChatGPT after applying the initial insights, prompting it to refine strategies based on new performance data, which improved results over time.

AI Could Takeover The World…But Until Then, Let’s Enjoy The Ride ✨