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

• 🚨 AI Top Story: Artisan’s recent campaign sparks a heated conversation on AI.

• 📊 AI Use Case of the Week: Train ChatGPT to continuously optimise your marketing campaigns. Step-by-step guide included!

• 🎯 Killer Marketing Prompt: Enhance your customer experience with our prompt for using AI to map the entire customer journey, identify pain points, and unlock strategies for seamless engagement and loyalty.

• 🌟 Creator Spotlight: Meet Dirk Zee, a LinkedIn top voice helping entrepreneurs automate their business processes using AI

📈 20 AI-Driven Success Stories You Need To Know - A collection of inspiring examples showcasing how AI is driving innovation and transformation across industries.

🌍 The 2025 AI World: Where Humans Fit In - A forward-looking exploration of humanity's evolving role in an AI-dominated future.

🎯 How to Reframe AI Adoption to Focus on Outcomes, Not Tools - A guide emphasizing the importance of outcome-driven strategies over mere tool adoption in AI initiatives.

🚀 OpenAI Launches New AI Features in ‘Shipmas’ Event - OpenAI reveals groundbreaking AI capabilities during its annual ‘Shipmas’ event.

DIRK ZEE  - How Artificial Intelligence works.

TRAIN CHATGPT TO OPTIMISE MARKETING CAMPAIGNS

Tools Needed:

• Google Ads

• Meta Ads Manager

• Google Sheets

• ChatGPT (GPT-4 Turbo)

• Canva

• HubSpot

Step 1: Collect and Structure Campaign Data

What to Do:

1. Export performance data directly from Google Ads or Meta Ads Manager, including:

   • Campaign Objectives (e.g., awareness, lead generation).

   • Key Metrics: CTR, CPC, CPM, Conversions, ROI.

   • Audience Details: Demographics, interests, behaviors.

   • Ad Creatives: Headlines, descriptions, or CTAs.

2. If you have video campaigns, use Descript to create transcripts of the video content. Include a brief description of the visuals accompanying the video, such as tone (e.g., energetic, serious), dominant colours, and key scenes, to give ChatGPT context for improving or aligning messaging with visuals.

3. Import all data into Google Sheets. Structure the data with clear headings like:

   • Campaign Name

   • Objectives

   • Metrics (CTR, CPC, ROI)

   • Audience Insights

   • Ad Creative Summaries

This ensures the data is well-organised and easy for ChatGPT to process.

Step 2: Input Data into ChatGPT (GPT-4 Turbo)

1. Open ChatGPT and select GPT-4 Turbo for analysis.

2. Use the structured data from Google Sheets to craft a prompt:

Sample Prompt:

Create a professional data sheet with the following details:

Title: {Column Title}
Key Highlights: {Column Highlights}
Supporting Data: {Column Data}
Audience: {Column Audience} Include headings, bullet points, and a call-to-action.


"Analyse this marketing campaign:

Objective: Increase conversions for <Product/Service>.

Audience: Women aged 25-40, interested in sustainable fashion.

Ad Creatives: 'Shop sustainable styles today' with visuals of eco-friendly products. Video visuals include a serene outdoor setting with vibrant greens, product close-ups, and happy customers engaging with the product.

Metrics: CTR: 1.2%, CPC: $2.50, ROI: 200%, Conversions: 150.

Provide recommendations for improving:
Audience targeting (segmentation, exclusions, lookalike audiences).

Ad creative and messaging to improve engagement and conversions.

Budget allocation for better ROI.

Bidding strategies to lower CPC while maintaining results.

Use industry best practices and benchmarks for the fashion industry".

ChatGPT will then generate detailed recommendations based on your input.

Step 3: Implement Recommendations

1. Audience Targeting:
   Update your audience settings based on ChatGPT’s suggestions. For example:

   • Refine demographics to include a smaller, high-conversion audience.

   • Add lookalike audiences for better reach.

   • Exclude irrelevant segments to reduce wasted spend.

2. Ad Creative Improvements:
   Use ChatGPT’s recommendations to revise ad headlines, descriptions, and CTAs directly in Google Ads or Meta Ads Manager. For visuals, update creatives using Canva for fast and professional results.

3. Budget Reallocation:
   Reallocate budgets to high-performing campaigns. Shift spend away from underperforming channels or ads as suggested by ChatGPT.

4. Bidding Strategies:
   Use automated bidding strategies like Target CPA (Google Ads) or Minimum ROAS (Meta Ads Manager) as recommended by ChatGPT to optimise costs and improve results.

Step 4: Monitor Performance and Refine

1. Create a dashboard in Google Data Studio or HubSpot Analytics to track metrics like CTR, CPC, Conversions, and ROI.

2. Monitor the impact of the changes implemented.

3. Identify trends or anomalies in performance data over time.

Step 5: Iterate with ChatGPT

1. Export updated performance data from your dashboards and input it into ChatGPT using a similar prompt:

"Here are the updated metrics for the campaign after optimisations: CTR: 2.5%, CPC: $1.80, Conversions: 300, ROI: 350%. What additional adjustments can be made to improve performance further?"

2. ChatGPT will provide iterative recommendations, helping you fine-tune your campaigns continuously.

Use AI for Customer Journey Mapping

You are a customer experience strategist tasked with mapping the end-to-end journey for [brand name]’s customers in the [specific industry].

Your goal is to identify key touchpoints, improve engagement, and enhance the overall experience to drive conversions and foster loyalty.

Start by defining the customer personas that interact with [brand name], including their needs, motivations, and pain points. Highlight how these personas typically discover, engage with, and make decisions about [specific product/service].

Map out the current journey, breaking it into key stages such as awareness, consideration, purchase, and post-purchase. Analyze how effectively [brand name] supports customers at each stage, identifying gaps or friction points that could deter progress.

Evaluate the messaging, channels, and content used at each stage. Suggest improvements to align these touchpoints with customer expectations and preferences. Include ideas for more personalized or interactive engagement strategies.

Assess the emotional impact of the journey, identifying moments where customers feel excited, confused, or dissatisfied. Propose ways to amplify positive experiences and address negative ones to strengthen emotional connections with the brand.

Explore opportunities for optimizing conversion points, such as simplifying purchase flows, improving CTAs, or reducing cart abandonment. Highlight tactics to boost customer retention, like loyalty programs, proactive support, or exclusive perks.

Finally, recommend tools and methods to continuously monitor and refine the customer journey, such as feedback loops, user analytics, or heatmap tracking. Provide actionable insights that ensure [brand name] delivers a seamless, memorable, and value-driven experience at every stage of the customer lifecycle.

SNOOP DOGG & DR. DRE MEET AI-GENERATED FRANK SINATRA & SAMMY DAVIS IN AD FOR GIN BRAND