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3 AI Marketing Flows That Drive Profit
Set one up in a day (no code required)
AI for marketing is huge. But so is the hype.
I've lost count of the so-called “breakthrough” AI tools that claim to revolutionize marketing FOREVER. It's a bit sad because the hype outshines the solutions that just work and drive profit.
Today, I'm sharing three AI-powered marketing flows I've tested and implemented myself. These are practical, proven ways to get more eyeballs, generate leads, and close deals faster – without hiring more tech resources.
Let's dive in!
Flow 1: The Long-to-Short Content Machine
The Problem:
You spend hours (or thousands of $$$) creating high-quality content – only to see it collect dust.
I see this all the time. A company pours effort into a killer webinar, slaps the 78-minute video on YouTube… and gets zero results.
This flow fixes that.
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How It Works:
Step 1: Start with quality content
Take a high-value asset (webinar, workshop, white paper, ...) and turn it into markdown-formatted text (use AI for transcriptions). Make sure it has real substance - not ChatGPT generated fluff!
Step 2: Extract core messages
Use AI to identify:
✅ Novel ideas
✅ Solved problems
✅ Revlevant outcomes
A solid long-form piece should yield 10-20 “nuggets” worth sharing.
Step 3: Enrich the ideas
Have AI:
✅ Find relevant text passages
✅ Quote original content for depth
This keeps your output authentic, avoiding generic AI mash.
Step 4: Repurpose through proven templates
Take your nuggets and run them through classic copywriting frameworks. Don't reinvent the wheel.
Use what works:
✔ AIDA (Attention, Interest, Desire, Action)
✔ PAS (Problem, Agitation, Solution)
✔ FFGA (Fears, Frustrations, Goals, Aspirations)
Now, you can distribute across multiple platforms without sounding repetitive:
📌 LinkedIn posts
📌 Instagram stories
📌 Twitter threads
📌 Email newsletters
📌 YouTube shorts
Let's do the math:
1 long-form piece × 10 nuggets × 3 platforms = 30 high-quality content pieces.
Impact:
Time saved: 1 hour per content piece
Monthly savings: $1,500
Yearly impact: $18,000+
This easily passes my $10K/year value threshold, and that's not even counting the brand reach benefits.
Tools I Use:
Transcription: OpenAI Whisper
Content extraction: Claude
Data handling & workflow: Google docs + n8n or Make
Graphics: Canva (slides), Replicate (AI image gen)
Distribution: Your usual social media tools
Running cost: <$100 USD/Month
This is AI-assisted marketing at its best – scaling your expertise with AI augmentation, not replacing it.
Flow 2: The AI-Powered Lead Generation Engine
The Problem
Ever run a lead magnet campaign that felt like shouting into the void?
Most lead magnets (PDFs, reports) get downloaded and… ignored.
This AI-powered flow turns static lead magnets into interactive, personalized experiences – resulting in actual business conversations, not just cold leads.
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How It Works:
Step 1: Capture high-quality leads
Create a short (2-3 question) form that asks about a specific challenge.
→ Use Typeform (or a cheaper alternative)
→ Ensure an opt-in for follow-ups
→ Ask questions that reveal real business needs
Step 2: Personalize with AI
Your AI engine should:
→ Match inputs to your proven frameworks
→ Generate a tailored response with real expertise
→ Format it in a clear, readable way
Step 3: Automate instant delivery
People hate waiting. Once they submit, they should immediately receive:
→ Something that actually helps
→ A direct reference which points to your bigger solution
The goal of this flow is for you to immediately deliver a valuable, personalized solution that is just a tiny part of a larger problem your ideal customer has.
Impact:
Some assumptions, based on a small business:
50 leads/month
$25,000 avg. client value
At a 1% close rate, you'd land a deal every 2 months – adding on average $12K/month
Running cost: <$100 USD/Month
So even on the lower end this Flow can easily hit a $10K/month Profit Threshold.
Tools I Use
Form: Typeform
Automation: n8n or Make
AI: o1-mini (solution), Claude (writing)
Email: Your usual provider
Optional: Cal.com for booking calls
Start with a small test run first. Review each output manually until you're confident in the quality. Remember: The goal isn't full automation yet - it's scaling your expertise while maintaining quality.
Tip: Use this to learn about your audience. The questions they ask and problems they share are gold for your content strategy.
Flow 3: AI-Powered Lead Segmentation & Follow-Up
The Problem
So, someone downloads your lead magnet. Now what?
Most businesses drop them into a generic email sequence and hope for the best. But not all leads are the same:
Some leads are ready to talk.
Some need a bit more nurturing.
Some are just curious and will never buy.
If you treat them all the same, you'll waste time on the wrong people and let high-intent leads slip away.
That's where AI-powered segmentation comes in.
With this flow, we don't just capture leads – we automatically sort them based on their intent and engagement history to ensure each one gets the right next step.
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How It Works:
Step 1: Gather Data from Previous Interactions
Who is this lead? Some people have been on our list for months, others just found us today.
So before anything else, we pull in the data (we don't even need AI for that):
→ Lead form responses (Flow 2)
What do they want? What do they need?
→ Content engagement
What articles, videos, or emails have they interacted with?
→ Behavioral signals
How engaged are they with your content?
This creates a real-time profile of their interest level and buying intent.
Step 2: Segment Leads into Actionable Categories
Not every lead should get the same follow-up. Some need education, some need a little push, and some are ready to talk right now.
This is where we use AI to classify leads based on two questions:
1️⃣ Did they describe a problem we can solve?
2️⃣ Have they engaged with content that shows a buying intent?
That gives us three categories:
Lead Type | Characteristics | Next Best Action |
---|---|---|
🔥 Hot | Described a problem we can clearly help with and engaged with previous content | 📅 Ask for a call + send relevant case study if applicable |
🌡️ Warm | Described a problem but did not engage | 🔗 Follow up with targeted content (blog / video / case study) that explains how our solution solves their issue |
❄️ Cold | We don't know their problem or it's a problem we can't really help with right now. | Keep sending educational content or soft check-in (“What are you working on?”). Otherwise, they'll slip away and forget you exist. |
We use AI to perform this categorization on the fly, given all available data in real-time.
Step 3: Automate & Optimize the Process
Talking about real-time – “perfect timing” is overrated.
Most businesses obsess over sending emails at the exact right moment. But what really matters? Consistent, and relevant follow-ups that keep your leads engaged.
Instead of chasing the 'perfect moment,' set your flow to run weekly and let AI do the heavy lifting.
Here's a simple system:
Lead magnet was downloaded >3 days ago?
→ Send a targeted follow-up email.Prospect engaged with sales content but hasn't seen Flow 2 yet?
→ Offer them a way to describe their problem.Track follow-ups in a simple spreadsheet or CRM
→ So you don't overcomplicate things.
Adding AI Personalization
AI tailors responses based on the lead's engagement history. Instead of sending a generic follow-up, your emails can be hyper-relevant:
📩 Example:
"We saw you're dealing with [Problem X] and have already checked out [Content Y]. Want a quick call so we can show you how this works in action?"
Previously, this level of personalization would require complex, rigid automation rules.
Now? A simple AI prompt does the heavy lifting.
The result is less manual work, better responses, and higher conversions – without adding much more complexity.
Impact:
Higher conversion rates – You're only pushing calls to the most engaged leads
Faster deal cycles – Right message at the right time
No more wasted leads – Every prospect gets a next-best action
Running cost: < $1 / Lead
Let's do the math:
If this Flow helps you to double your close rate from 1% to 2%, that would add another $12k / month in the bank.
Tools I Use:
Data Integration: n8n or Make
AI Analysis: GPT-4o and Claude
CRM: Hubspot or Airtable
Email Sequences: Your email provider
Conclusion
These three flows work together to create a powerful marketing engine with a realistic potential to add $300k+ per year to your business.
Sound too good to be true?
Go ahead and test it for yourself.
Start with the flow that addresses your biggest pain point right now. Whether it's content creation, lead generation, or unqualified leads: Pick one, set it up, experiment, and then scale or move on.
Want to see this in action? Join me for my upcoming AI Marketing workshop - details to be announced soon in my daily Profitable AI Notes.
Until then...
See you next Friday!
Tobias
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