👑 AI Taking Over the Marketing Industry?

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Hey marketers—ready to get some killer tips?

Welcome back to AIM! This week we're diving into how AI-native go-to-market models are replacing traditional SaaS playbooks entirely. Plus, we've got 3 breakthrough AI tools that are slashing marketing costs by 95%, and a case study showing how one agency automated their way to $300K/month. Let's make this week count! 🤝

🔍 This Week’s Focus

AI breakthrough: GenAI is going to decide what you’re watching.

Case study: AI-native go-to-market is replacing outdated SaaS b2b playbooks.

Industry alert: Perplexity’s recent “Labs” feature might change the marketing game indefinitely.

Tool spotlight: 3 cost-cutting AI tools changing the game.

Quick win: Easy hack to automate 70% of your marketing tasks.

📰 Main Story

AI-Native Go-to-Market Models Are Killing Traditional SaaS Stacks

Challenge: Traditional B2B SaaS stacks are bloated, expensive, and fragmented. Marketing teams juggle 15+ tools just to run basic campaigns, spending more time on integration than innovation.

AI Solution: Unified, AI-native systems are replacing entire SaaS stacks with intelligent automation that handles lead gen, sales qualification, and campaign management in one seamless workflow.

Results:

• Dramatic cost reductions vs. traditional SaaS bolt-ons

• Streamlined workflows across the entire customer journey

• Better performance through holistic AI-powered optimization

What's Different: Instead of cobbling together point solutions, AI-native platforms think holistically about the entire go-to-market process—from first touch to closed deal.

Your Takeaway: Start evaluating AI-native alternatives to your current SaaS stack. The migration window is closing fast as high-growth B2B teams make the switch before year-end.

Read the full article here.

🛠️ Tool Spotlight

Hunyuan A13B

What it does: Runs completely offline on standard hardware, replacing expensive AI subscriptions for content creation, SEO analysis, and customer support.

Best for: Marketing teams tired of subscription price hikes.

Pricing: Free and open source.

Why it matters: No more monthly AI bills. Install once, use forever.

Quick tip: Start with content creation tasks to see immediate cost savings.

Notabl

What it does: Paste any YouTube link and get instant structured summaries, step-by-step plans, or cheat sheets from video content.

Best for: Marketers repurposing webinars and training content.

Pricing: Freemium model.

Why it matters: Transform long-form videos into bite-sized marketing assets without watching the whole thing.

Quick tip: Use it to turn competitor webinars into competitive intelligence reports.

Viewstats

What it does: Track trends, analyze competitors, and A/B test thumbnails with real-time YouTube data.

Best for: Video marketers and content creators.

Pricing: Freemium with pro tiers.

Why it matters: Spot viral opportunities before they explode and optimize for maximum engagement.

Quick tip: Set up trend alerts for your niche keywords to catch waves early.

⚡ Quick Win of the Week

Automate 70% of Marketing Tasks with AI — Practical Workflow Guide

Step 1: List your 10 most time-consuming weekly tasks.

Step 2: Use Post Planner for social scheduling, ChatGPT for content, and Asana for project management.

Step 3: Set up one automation per week until you've delegated 70% of routine work.

Expected result: 15+ hours weekly freed up for strategy.

Time investment: 30 minutes of setup per automation.

Try it and reply with your results—we love hearing success stories!

📈 This Week in AI Marketing

Prime Video adds generative AI to personalize the viewing experience. AI-driven custom ads are raising the standards for targeting.

Turning Perplexity Labs into your AI marketing team for 2025. In-depth walkthrough shows how marketers can use Perplexity Labs and Claude to break broad ICPs into hyper-targeted “micro audiences,” using real-time LinkedIn signals and KPI clustering.

Jessica McCormack unveils GenAI-powered bridal campaign on Instagram. Hybrid creative workflows might become standard for luxury brands.

🌟 Community Highlight

Nick Saraev - $300K/month AI automation agency shares how to sell AI automation to the first customer 

Achievement: Built multiple 6-figure automation businesses using cold email, personalized Loom videos, and client guarantees.

Key insight: "Skip domain warm-up times by building demos before case studies. Show value first, sell second."

Tool used: Custom automation stack with Loom, cold email sequences, and guarantee frameworks.

Want to be featured in Community Highlight? Reply to this email or send one here with your AI marketing wins!

🤝 Partner Spotlight

Stop Spinning Your Wheels. Start Growing—Effortlessly.

Tired of sinking hours into social media with little to show for it?

Meet Post Planner—your secret weapon for smart, streamlined, and stress-free social success.

Here’s how Post Planner gives you the edge:

• AI That Works for You:
  Automate up to 80% of your posting workload. Free your time, focus on what moves your brand forward.

• Instant Viral Content:
  Discover proven, high-engagement posts in seconds. No more guesswork—just results.

• Evergreen Winners:
  Recycle your top-performing content to keep your audience engaged and your feed fresh.

• Real-Time Insights:
  Track what’s working, spot trends, and double down on what delivers—so your strategy always stays sharp.

• Seamless Teamwork:
  Collaborate, manage multiple accounts, and maintain a unified brand voice—all from one intuitive dashboard.

Ready to take your social presence from scattered to unstoppable?
With Post Planner, you get more reach, less effort, and the confidence that every post counts.

Stop worrying about your next update—start growing your audience today.

📚 Learn Something New

Personalization at Scale

The basics: AI models analyze customer data—purchase history, browsing habits, contextual signals like location or time—to deliver one-to-one offers and messages in real time.

Why it matters: Hyper-personalized campaigns drive higher engagement and loyalty. For example, Starbucks’ AI-powered “Deep Brew” engine increased sales by 15% and raised the average order value by 12% among its app users.

Common mistakes:

• Relying on broad segments instead of individual-level insights.

• Overlooking real-time context (weather, time of day) in recommendations.

• Failing to retrain models regularly with fresh data.

Best practices:

• Combine multiple data sources (CRM, web analytics, loyalty programs) for richer profiles.

• Leverage machine learning algorithms that continuously learn from new interactions.

• Monitor recommendation performance weekly and retrain models when accuracy dips.

Deep dive: AI in Marketing

🔗 Useful Links

• Advertise with us: https://www.passionfroot.me/twism

• Free Custom GPTs: https://chatgpt.com/gpts

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