AI & Automation
Personas
SaaS & Startup
Time to ROI
Medium-term (3-6 months)
Here's what happened when I was working on SEO strategy for a Shopify ecommerce site: we had over 200 collection pages getting organic traffic, but every visitor who wasn't ready to buy was simply bouncing. No email capture, no relationship building, nothing.
Sound familiar? You're driving traffic to your site, but you're treating every visitor the same way. Generic "Get 10% off" popups across all pages, one-size-fits-all landing pages, and wondering why your conversion rates are stuck in the mud.
Most businesses think they need expensive custom development or complex tools to create personalized experiences. But here's what I discovered: the best performing landing pages aren't the most technically sophisticated ones - they're the ones that speak directly to what each visitor actually wants.
In this playbook, you'll learn how I:
Built 200+ personalized landing pages using AI workflows
Applied the CTVP framework to match ads with landing page experiences
Dramatically improved list growth with context-specific lead magnets
Created scalable systems that work for both SaaS and ecommerce
Avoided the common pitfalls that make dynamic pages feel robotic
This isn't about fancy tech - it's about understanding that someone browsing vintage leather bags has different interests than someone looking at minimalist wallets. Let's dive into how I built a system that actually works.
Industry Reality
What everyone's doing with landing pages
Walk into any marketing conference or scroll through any growth hacking blog, and you'll hear the same advice repeated like a broken record:
"Create one amazing landing page" - Usually involving expensive designers, multiple rounds of revisions, and months of perfectionism
"A/B test your way to success" - Test button colors, headlines, and images until you find the "winner"
"Use dynamic insertion tools" - Insert the visitor's name or company dynamically to "personalize" the experience
"Build complex funnels" - Create elaborate multi-step processes that look impressive in Figma but confuse real users
"Focus on the perfect copy" - Spend weeks crafting the "perfect" headline that will magically convert everyone
This conventional wisdom exists because it's what worked in 2015 when there was less competition and simpler user journeys. Back then, you could create one generic landing page and blast it to everyone.
But here's where this approach falls short in 2025: your visitors aren't generic. Someone coming from a Facebook ad about "sustainable fashion" has completely different motivations than someone who clicked on "affordable summer outfits." Yet most businesses send both visitors to the same generic landing page with the same generic message.
The result? You're optimizing for mediocrity. Your landing page becomes a compromise that sort of appeals to everyone but truly resonates with no one. It's like trying to write a love letter to "Dear Anyone Who Might Be Interested." Good luck with that.
What we need isn't perfection - we need relevance at scale.
Consider me as your business complice.
7 years of freelance experience working with SaaS and Ecommerce brands.
The realization hit me when I was working with a Shopify ecommerce client who had built something most businesses would envy: over 200 collection pages, each getting steady organic traffic through our SEO work.
But there was a problem hiding in plain sight. I was analyzing their analytics and noticed a frustrating pattern: visitors would land on these collection pages, browse for a bit, then leave. Forever. No email capture, no return visits, no relationship building.
We had built the equivalent of 200 individual storefronts, each attracting their own audience, but we were treating every visitor like they were the same person. Someone browsing "vintage leather bags" was getting the same generic "Sign up for 10% off" popup as someone looking at "minimalist laptop cases."
It was like having a bookstore where the mystery novel section offered the same promotional flyer as the cookbook section. Technically it worked, but it completely ignored the fact that these customers had completely different interests and motivations.
My first instinct was to suggest they create custom lead magnets for each section manually. But the math was brutal: 200+ collection pages meant 200+ unique lead magnets, 200+ email sequences, 200+ landing pages. Even with a team, this would take months and cost a fortune.
That's when I had a different idea. What if we could create a system that automatically generated contextually relevant experiences based on what the visitor was actually looking at?
Instead of one generic funnel, we'd have 200+ micro-funnels, each perfectly aligned with the visitor's specific interest. Someone browsing vintage bags would get a "Vintage Styling Guide," while someone looking at laptop cases would get a "Remote Work Setup Checklist."
The question wasn't whether this would work better - it obviously would. The question was whether we could build it without hiring a team of developers.
Here's my playbook
What I ended up doing and the results.
Here's exactly how I built a system that generates contextually relevant landing pages at scale, using the CTVP framework I developed: Channel, Target, Value Proposition.
Step 1: Mapping the Context Landscape
First, I created a spreadsheet with three columns for every traffic source: where they're coming from (Channel), who they are (Target), and what they want (Value Proposition). For the ecommerce client, this meant analyzing each collection page to understand the visitor's intent.
For example:
- Vintage Leather Bags → Style-conscious professionals → "How to build a timeless wardrobe"
- Minimalist Wallets → Efficiency seekers → "The minimalist's guide to everyday carry"
- Travel Backpacks → Adventure travelers → "Ultimate packing checklist for digital nomads"
This wasn't guesswork. I spent time analyzing the actual search queries that brought people to each page, reading customer reviews, and understanding the emotional triggers behind each purchase category.
Step 2: Building the AI Content Engine
Next, I built an AI workflow system that could generate personalized lead magnets and email sequences for each context. This wasn't about using ChatGPT to write generic content - it was about creating a systematic approach that understood context.
The workflow analyzed each collection's products and characteristics, then generated contextually relevant lead magnets. Instead of "Get 10% off," visitors started seeing offers like "Download the Vintage Styling Guide" or "Get the Remote Work Setup Checklist."
Each lead magnet came with its own personalized email sequence that spoke directly to that specific interest. Someone who downloaded the vintage styling guide got emails about timeless fashion principles, while the remote work person got productivity tips.
Step 3: Dynamic Page Creation
The real magic happened when I connected this system to automatically create landing pages for each context. Using automation tools, I built a system that could generate unique landing pages that matched the visitor's specific interest.
Each page included:
- Headlines that referenced their specific interest
- Images relevant to their browsing context
- Lead magnets tailored to their needs
- Social proof from similar customers
- Email sequences that continued the conversation
Step 4: CTVP Implementation for Paid Traffic
I also applied this same principle to a Facebook advertising client. Instead of one landing page for all their ads, I created specific landing pages for each audience segment:
- Facebook fashion enthusiasts → Page showcasing user-generated content and styling tips
- Instagram bargain hunters → Page leading with limited-time offers and bulk discounts
- Retargeting cart abandoners → Page addressing specific objections like shipping costs
The key insight: the landing page message had to match exactly what the ad promised. If the Facebook ad said "sustainable materials," the landing page hero section immediately reinforced that message.
Step 5: Automation and Scale
The system I built could handle new products and collections automatically. When a new collection was added, the AI would analyze its characteristics and generate appropriate lead magnets, email sequences, and landing page content.
This meant the client went from spending hours on manual setup to having every new product automatically integrated into personalized conversion funnels.
Context Mapping
Analyzed 200+ traffic sources to understand visitor intent and create relevant messaging for each segment
AI Workflow Engine
Built systematic AI processes that generated personalized lead magnets, email sequences, and landing page content at scale
CTVP Framework
Applied Channel-Target-Value Proposition matching to ensure landing pages aligned perfectly with traffic sources
Automation Setup
Created systems that automatically generated new personalized experiences for new products and collections
The transformation was immediate and measurable. The ecommerce client's email list growth increased dramatically because instead of generic offers, visitors were getting highly relevant content that matched their specific interests.
More importantly, these weren't just random subscribers. They were segmented from day one based on their actual interests, which meant higher engagement rates, better conversion rates, and ultimately more revenue per subscriber.
For the Facebook advertising client, the alignment between ad creative and landing page experience eliminated the jarring disconnect that kills conversions. When someone clicked on a "sustainable fashion" ad and landed on a page that immediately talked about eco-friendly materials, the conversion rate improved significantly.
The CTVP approach meant we could create 10 highly specific landing pages for 10 different audience segments that consistently outperformed one "perfect" generic page. It turns out that creating 10 mediocre pages that are highly relevant beats creating 1 perfect page that's sort of relevant to everyone.
But the real win was scalability. Once the system was built, adding new products, collections, or ad campaigns didn't require starting from scratch. The AI workflow would automatically generate appropriate experiences for each new context.
This approach worked because it respected a fundamental truth about human psychology: people respond better to messages that feel personally relevant than to messages that are objectively "perfect."
What I've learned and the mistakes I've made.
Sharing so you don't make them.
Context beats perfection every time. Ten relevant landing pages will always outperform one "perfect" generic page. Visitors don't want perfect - they want personal.
The CTVP framework is your foundation. Channel-Target-Value Proposition alignment isn't optional. If your landing page doesn't match what brought the visitor there, you've already lost.
AI workflows are game-changers for scale. Manual personalization doesn't scale. But AI systems that understand context can generate hundreds of relevant experiences faster than you can create one manually.
Segmentation starts at the door. Don't try to segment after people subscribe. Segment them based on what they were interested in when they first found you.
Automation amplifies strategy, not stupidity. If your manual process doesn't work, automating it won't magically fix it. Get the strategy right first, then scale it with technology.
Dynamic doesn't mean complicated. The best dynamic landing pages feel natural and relevant, not obviously automated. Focus on relevance, not showing off your tech.
Test alignment, not just elements. Instead of testing button colors, test whether your landing page message aligns with what brought people there. Alignment beats optimization.
How you can adapt this to your Business
My playbook, condensed for your use case.
For your SaaS / Startup
For SaaS startups looking to implement dynamic landing pages:
Create specific landing pages for each use case or customer segment
Match your landing page messaging to your ad campaign promises
Use behavioral data to trigger relevant content
Build email sequences that continue the conversation from the landing page context
For your Ecommerce store
For ecommerce stores implementing dynamic experiences:
Create collection-specific lead magnets that match visitor interests
Segment email lists based on product categories browsed
Personalize popup offers based on current page context
Use exit-intent popups with category-specific messaging