Creating Targeted Campaigns Using AI

𝐌𝐚𝐫𝐤𝐞𝐭𝐞𝐫 𝐭𝐨 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫: 𝐀𝐈 𝐢𝐬𝐧’𝐭 𝐫𝐞𝐩𝐥𝐚𝐜𝐢𝐧𝐠 𝐲𝐨𝐮—𝐢𝐭’𝐬 𝐫𝐞𝐩𝐥𝐚𝐜𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐲𝐰𝐨𝐫𝐤 82% of marketers are already using AI. But the real unlock? It’s not just about writing faster—it’s about 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐜𝐥𝐞𝐚𝐫𝐞𝐫 𝐚𝐧𝐝 𝐬𝐡𝐢𝐩𝐩𝐢𝐧𝐠 𝐬𝐨𝐨𝐧𝐞𝐫. In recent workshops and conversations with marketing teams, the same questions keep coming up: ✅ 𝘞𝘩𝘪𝘤𝘩 𝘮𝘰𝘥𝘦𝘭 𝘪𝘴 𝘣𝘦𝘴𝘵—𝘎𝘗𝘛-4𝘰 𝘰𝘳 𝘊𝘭𝘢𝘶𝘥𝘦? ✅ 𝘊𝘢𝘯 𝘈𝘐 𝘩𝘦𝘭𝘱 𝘸𝘪𝘵𝘩 𝘢𝘤𝘵𝘶𝘢𝘭 𝘴𝘵𝘳𝘢𝘵𝘦𝘨𝘺, 𝘰𝘳 𝘫𝘶𝘴𝘵 𝘧𝘪𝘭𝘭𝘦𝘳 𝘤𝘰𝘱𝘺? ✅ 𝘏𝘰𝘸 𝘥𝘰 𝘐 𝘱𝘳𝘰𝘮𝘱𝘵 𝘪𝘵 𝘵𝘰 𝘮𝘢𝘵𝘤𝘩 𝘰𝘶𝘳 𝘷𝘰𝘪𝘤𝘦, 𝘵𝘰𝘯𝘦, 𝘢𝘯𝘥 𝘢𝘶𝘥𝘪𝘦𝘯𝘤𝘦? The answer: 𝐘𝐞𝐬—𝐢𝐟 𝐲𝐨𝐮 𝐮𝐬𝐞 𝐢𝐭 𝐫𝐢𝐠𝐡𝐭. ⸻ 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐞𝐫𝐞 𝐀𝐈 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐬𝐚𝐯𝐞𝐬 𝐭𝐢𝐦𝐞: 🧠 𝐂𝐚𝐦𝐩𝐚𝐢𝐠𝐧 𝐛𝐫𝐚𝐢𝐧𝐬𝐭𝐨𝐫𝐦𝐢𝐧𝐠 Claude 3.7 = your creative copilot. Give it an audience + offer, and it’ll surface angles you hadn’t considered. ✍️ 𝐄𝐦𝐚𝐢𝐥 + 𝐥𝐚𝐧𝐝𝐢𝐧𝐠 𝐩𝐚𝐠𝐞 𝐜𝐨𝐩𝐲 GPT-4o is great for structure, clarity, and clean drafts you can polish or publish. 🎯 𝐏𝐞𝐫𝐬𝐨𝐧𝐚 𝐭𝐚𝐫𝐠𝐞𝐭𝐢𝐧𝐠 Need one version for a CMO and another for a hands-on user? Claude adjusts tone and depth with ease. ♻️ 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐫𝐞𝐩𝐮𝐫𝐩𝐨𝐬𝐢𝐧𝐠 Blog → LinkedIn post → email blurb → video script. One asset, multiple formats—faster than ever. 📄 𝐒𝐮𝐦𝐦𝐚𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Transcripts, webinars, long docs—distilled into actionable takeaways by GPT-4o or o3-mini. ⸻ 𝐓𝐫𝐲 𝐭𝐡𝐞𝐬𝐞 𝐩𝐫𝐨𝐦𝐩𝐭𝐬 𝐭𝐡𝐢𝐬 𝐰𝐞𝐞𝐤: 𝐂𝐚𝐦𝐩𝐚𝐢𝐠𝐧𝐬 + 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠 • “Brainstorm 7 campaign themes for a new SaaS product targeting mid-market IT leaders.” • “Rewrite this positioning for a price-sensitive vs innovation-driven buyer.” 𝐄𝐦𝐚𝐢𝐥 + 𝐏𝐚𝐠𝐞 𝐂𝐨𝐩𝐲 • “Draft a 3-line promo email with urgency and a clear CTA for an upcoming launch.” • “Write 2 headline options and a subhead for a product landing page about [feature].” 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐑𝐞𝐩𝐮𝐫𝐩𝐨𝐬𝐢𝐧𝐠 • “Turn this blog into 3 LinkedIn posts—each with a unique hook and CTA.” • “Summarize this customer interview into a short-form case study.” ⸻ 𝐓𝐡𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰: 𝐏𝐫𝐨𝐦𝐩𝐭 → 𝐑𝐞𝐟𝐢𝐧𝐞 → 𝐑𝐞𝐩𝐞𝐚𝐭. You wouldn’t publish your first draft—don’t post your first prompt either. ⸻ 𝐁𝐨𝐭𝐭𝐨𝐦 𝐥𝐢𝐧𝐞: Stop asking “Can AI do this for me?” Start asking: “Where do I need a smart, fast assistant?” You’re not behind. You’re just one well-written prompt away from moving faster. Want 5 more prompts I’ve found useful across teams? Drop a comment or message me—happy to share. #Marketing #AIforMarketers #PromptEngineering #GPT4o #Claude #GenerativeAI #ContentMarketing #ProductMarketing #LLMs

4 practical ways to use AI in Product Marketing with prompts ⬇️ Most PMMs already use AI for content/idea generation and meeting summaries. But what are some other ways? There are a million applications, but for a brief LinkedIn post, here are some ideas and how-to steps: 1️⃣ Customer segmentation and messaging personalization How-to steps: ➖Collect customer information from CRM, website analytics, and sales data. ➖Establish criteria for segmentation (demographics, purchase history). ➖Use AI to sort customers into distinct groups and recommend tailored messaging. Prompts: ✅ “Analyze this customer dataset to identify segments based on behaviors like purchase history, engagement level, and product preferences.” ✅ “For each segment, create a profile with demographics, interests, and recommended messaging strategies.” 2️⃣ Sentiment analysis for products/features How-to steps: ➖Collect feedback from various sources, such as social media, product reviews, and customer service interactions. ➖Use AI to assess customer sentiment around products or features. ➖Highlight positives and improvement areas to inform messaging and product strategy. Prompts: ✅ “Analyze recent customer reviews of [Product Name] for sentiment around features like [Feature 1] and [Feature 2].” ✅“Identify top positive and negative themes in customer feedback, focusing on usability, performance, and support.” 3️⃣ Competitive intelligence How-To Steps: ➖Set up AI to monitor competitor websites, social media, and industry news. ➖Define key metrics for tracking. ➖Use AI to summarize competitive data, identifying trends. Prompts: ✅ “Analyze recent marketing campaigns from our top competitors. Identify common themes and unique selling points.” ✅“Compare our product features with those of [Competitor A] and [Competitor B]. Highlight areas where we excel or need improvement.” 4️⃣ Customer journey mapping How-To Steps: ➖Gather data on customer interactions across touchpoints (website, email, social media, support). ➖Use AI to identify common paths to sale and pain points in the customer journey. ➖Use recommendations to improve touchpoints and customer experience. Prompts: ✅ “Analyze our customer interaction data to identify the most common paths to purchase for [Product X].” ✅ “Based on customer behavior data, suggest improvements for our onboarding process to increase user activation.” To achieve this, you need more than ChatGPT or Claude. So, for tools to assist; I like Pendo for customer journey, Klue for competitor intelligence, and SalesForce Einstein for CRM segmentation help. 

80% of people prefer to buy from brands that personalize. Yet most businesses still send generic campaigns. Here’s how I use AI to change that 👇 Step 1: Build Your Data Foundation → Consolidate customer data from all sources → Clean and structure your data → Create unified customer profiles → Map customer journeys Step 2: Choose the Right AI Tools → Start with predictive analytics → Add dynamic content generation → Implement real-time personalization engines → Focus on tools that integrate with your stack Step 3: Create Personalization Frameworks → Segment audiences by behavior → Design content templates → Set up trigger-based workflows → Define success metrics Real examples that work: 1/ E-commerce: → AI analyzes browsing patterns → Predicts next likely purchase → Personalizes email timing ↳ Result: 40% higher conversion rates 2/ B2B Marketing: → AI scores leads in real-time → Customizes content by industry → Automates follow-up timing ↳ Result: 3x faster sales cycles 3/ Content Marketing: → AI suggests trending topics → Personalizes content recommendations → Optimizes posting schedules ↳ Result: 2x engagement rates Warning: Avoid these common mistakes: → Implementing AI without clean data → Focusing on tools over strategy → Forgetting the human element → Ignoring privacy concerns Remember: AI amplifies your marketing. It doesn't replace your strategy. Start small, measure results, scale what works. What's your biggest challenge with marketing personalization? Comment below. Sign up for my newsletter for more marketing and AI content: https://lnkd.in/gSi-nA2F Repost or follow Carolyn Healey for more like this.