AI-Powered Conversion Rate Optimization

Cut CAC by 30% with Predictive Conversions

Our Predictive AI uncovers users’ true value and fuels value-based campaigns on Google and Meta to acquire high-value users — powered by a supervised ML model trained on your own visitors.

AI-Powered Conversion Rate Optimization

Convert 30% More with First-Touch AI Personalization

Even for a first-time visitor, FunnelFlex adapts your site in real-time to maximize conversion - powered by a supervised ML model trained on past users’ attributes, behavior, and conversions.

The Problem: CAC Is Rising and LTV Is Falling

Ads Are More Expensive Than Ever

Since 2020, digital ad spend has exploded. In 2024 alone, U.S. ad spend hit $258.6B, up 15% YoY, driving CPMs and CPCs even higher. You now pay more than ever to reach the same users.

Tracking and Targeting Got Weaker

Tracking and Targeting Got Weaker Apple’s ATT (iOS 14.5) and GDPR sharply limited tracking. Only ~25% of iOS users allow it, and cookies are vanishing. The result: higher CAC and lower ROAS across paid channels.

Customer Loyalty Keeps Falling

COVID changed how people shop. 75% of consumers tried new brands, and many never came back. By 2023, 53% said they’d switch brands for a discount. LTV keeps shrinking — and acquisition alone can’t fix it.

Churn Rates Are Brutal

App uninstall rates hit 49% on Android within 30 days. Only 17% of SaaS trials convert — and most churn starts in Month 1. Most users leave before they ever generate value.

Boost Your LTV Using AI Personalization

FunnelFlex builds a predictive AI model for your site by testing content variations (CTA Button) on real visitors (Model Training). Once trained, it personalizes the experience in real-time for new visitors (Model Execution).

AI-Driven Conversion Optimization Process

Step 1
Define What to Optimize and Personalize
🔹 First, you choose the goal you want to optimize for — sign-ups, purchases, or leads.

🔹 Then, you decide what to personalize on your site. For example, you might create 4 headline variations, 3 CTA button versions, or even different business logic flows.

🔹 FunnelFlex then builds a predictive AI model based on your goal and the defined personalizations.
Step 2
Supervised Model Training
🔹 FunnelFlex randomly assigns different variations of personalizations to different visitors and tracks conversions based on your defined goals.

🔹 Each personalization needs around 150 conversions to build a reliable model and start making accurate predictions.

🔹 The model is trained using LightGBM, a fast and powerful algorithm for supervised learning.

🔹It processes 650+ behavioral signals — like device type, traffic source, and on-site actions — to build a predictive model tailored specifically to your site and audience.
Step 3
Personalization Stage
🔹 Once the predictive model is trained, FunnelFlex shifts to real-time personalization — adapting the site experience on the fly.

🔹 For each visitor, it selects and applies the best variation across your defined personalizations — like headlines, buttons, layouts, or business logic.

🔹 FunnelFlex doesn’t switch to the new model unless it performs better than the baseline

🔹 No predefined segments or manual rules — every visitor gets a tailored experience from the first page view.
Step 4
Auto-Retraining
🔹A small control group always sees randomized variations — allowing FunnelFlex to continuously monitor changes in traffic behavior.

🔹 When shifts are detected — due to seasonality, new traffic sources, or promotions — the system automatically re-trains the AI model.

🔹 This ensures the model stays accurate and adapts to new trends without any manual effort.

🔹 As a result, your site remains fully optimized at all times.

Real Examples of AI Personalizations

Case #1
Apartment Cleaning Service
Drag
Drag
Case #2
Healthy Meal Delivery Service
Drag
Drag
Case #3
IT courses for children
Drag
Drag
Apartment Cleaning Service
Apartment Cleaning Service
Healthy Meal Delivery Service
Healthy Meal Delivery Service
IT courses for children
IT courses for children

Double Your Conversions with AI Personalization

Deliver hyper-relevant experiences to every visitor — instantly, automatically, and without developers.

Reduce CAC with Predictive AI

AI Prediction

Most Value-Based Bidding ad campaigns require at least 50 weekly conversions to optimize effectively.

FunnelFlex.ai solves this by generating 5–30x more synthetic conversions — signals sent to ad platforms when a user is highly likely to convert, even if they haven’t yet.

Step 1
Model Training
We train a supervised machine learning model using behavioral data from your visitors and their actual conversions.

The model learns which user actions & attributes are most likely to lead to purchases, signups, or other key goals.

We 50 real conversions to build the model.

Step 2
Predicting Conversions
The model monitors user behavior in real-time. As soon as it has enough signals to confidently estimate conversion likelihood, it assigns a predicted score — for example, 85%.

Step 3
Sending Predictions to Ad Campaigns
We send predicted values to ad platforms via SDKs or GTM — calculated as conversion probability × expected value.

For example, if a user has an 85% likelihood of converting on a $1000 item, we send a signal worth $850.

Step 4
Ad Campaigns Train on Richer Signals
Your ad campaigns begin learning from a larger set of data — not just real conversions, but also predicted ones.

This enables more accurate targeting, reduces CPL, and increases ROAS.

Ad Campaigns Optimize Faster and Perform Better

Multi-Touch Ad Optimization

Most ad platforms rely on last-click attribution, ignoring the impact of earlier touchpoints in the customer journey. Multi-Touch Ads Attribution distributes conversion value across multiple interactions, ensuring more accurate measurement and smarter budget allocation. By understanding which ads, channels, and actions truly contribute to conversions, marketers can optimize campaigns with confidence.

01.
Tracks the Full Customer Journey
Instead of only crediting the last interaction, AI maps out all key touchpoints leading to a conversion, from first ad exposure to final purchase.
02.
Multi-Touch Value Attribution
AI assigns weighted conversion value to each interaction, helping marketers understand which ads and touchpoints contribute most to revenue.
03.
Improves Budget Allocation
With accurate attribution insights, advertisers can redistribute spend to the most effective channels, eliminating wasted ad spend.
04.
Works Across Platforms & Devices
Tracks interactions across Google Ads, Meta, TikTok, and other major platforms, ensuring a unified view of the customer journey.
05.
Fully Automated & Scalable
AI continuously learns, refines attribution models, and adapts to shifting customer behaviors, requiring no manual adjustments.

AI-Powered Conversion Rate Optimization Services

FunnelFlex acts as your Conversion Rate Optimization Agency, helping you increase conversions across your website and your ad campaigns. From personalized experiences to synthetic conversion signals and attribution insights — we optimize the entire conversion journey.

AI Personalization as a Service

We generate, implement, and optimize dynamic content for your product pages, category pages, headlines, images, CTAs, and more — tailored to each visitor in real time.

Smarter Ads with AI Prediction

We boost your paid media performance by generating 5–30x more synthetic conversions for value-based bidding — reducing your CPL and increasing ROAS.

Accurate Attribution with AI

Our Multi-Touch Attribution engine reveals what’s really driving conversions across your ad channels, so you can confidently reallocate budget to what works best.

No Developers Required

All of this runs on a lightweight 50KB script — no engineering support needed. We handle everything from setup to optimization, so you can focus on growth.

Our clients

Gruendungskanzlei.eu Finom.de GetRentacar.com GetTransfer.com Itexus.com Skadate.com
Banks
Insurance Company
E-Coms
Other Projects under NDA

Case Study

Customer Feedback

On the recommendation of sustain impact, we were offered the opportunity to test their AI. We accepted this offer and are grateful for the excellent results.

We were able to multiply the number of inquiries without increasing our advertising budget.

Unfortunately, we cannot disclose exact revenue figures for reasons of confidentiality. However, the increase has been substantial, and the number of inquiries has risen significantly. Therefore, I would like to thank the team sincerely for this great development.
a

Fernando Marroyo

Member W-V Law Firm LLP
https://gruendungskanzlei.eu/

Lead Quality

With the same budget

Click costs

Reduction in click costs

Conversion

Increase conversion rate

How is your system different from traditional A/B testing?

A/B testing selects a single “best” variant based on overall performance. For example, if Variant 1 works best for 40% of users and Variant 2 for 60%, traditional A/B testing would show only Variant 2 to 100% of users—even though 40% of users would convert better with Variant 1.

Unlike A/B testing, AI Personalization dynamically selects the best variant for each individual user, ensuring that each visitor sees the most effective version for them, leading to 3-5x higher conversion rates.

What does a basic personalization look like?

Example: You run an e-commerce website and want to test different CTA buttons on product pages.
  1. You create a personalization for the CTA text, testing:
    • “Add to Cart”
    • “Order Now”
    • “Buy Now”
  2. AI randomly distributes variants to users and tracks their interactions.
  3. Once AI collects ~300 conversions, it begins optimizing and automatically selects the best CTA for each user based on their behavior.
  4. When AI confirms statistically significant performance improvements, the personalization is fully activated.

How does advanced personalization work in practice?

Beyond simple UI changes, AI Personalization can also adjust business logic dynamically.
 
Example: You want to personalize the checkout experience:
  • Some users prefer filling out full shipping details online.
  • Others prefer a quick form and completing details over a phone call.
With AI Personalization, you can:
  1. Set up two different checkout flows as personalization variants.
  2. AI will analyze user behavior and show the most suitable checkout flow for each user.
  3. Over time, AI continuously optimizes and adjusts in real time.

What results can I expect from a personalization?

Results depend on your industry, audience, and personalization type.
  • On average, a single personalization can increase conversion rates by 15-20%.
  • Some small UI personalizations (e.g., header layout changes) can boost conversions by 30-50%.
  • The best strategy is to launch multiple personalizations, as even minor optimizations can stack up to significant improvements.

How does the AI decide which version to show each user?

AI continuously learns from real user behavior and identifies patterns. Over time, it:
  • Recognizes which personalization works best for different segments (e.g., mobile vs. desktop users, new vs. returning visitors).
  • Dynamically assigns the best version to each user in real time.
  • Adapts automatically to changes in behavior, market conditions, and seasonality.

You don’t need to manually adjust anything—AI does all the work.

Why is personalization more effective than increasing ad spend?

Example: Let’s say personalization increases your conversion rate by 100% (2x growth).
  • If you normally get 50,000 unique visitors per month, this means double the number of conversions.
  • If you were to buy twice as much traffic instead, the cost per click (CPC) would be much higher, making it far less cost-effective.

Do I need technical knowledge to use AI Personalization?

No. The system is designed for marketers and product teams.
  • No manual testing—AI runs, learns, and optimizes on autopilot.
  • AI automatically decides when to update models and how to distribute traffic.
  • You just track results and watch conversions grow.

Does your system store customer data?

No. AI Personalization does not store or process personally identifiable information (PII). It works purely based on behavioral data and site interactions.

Do I need a developer to use the platform?

  • If you’re using popular CMS platforms (WordPress, Shopify, etc.), you can install our script without coding.
  • For custom websites, a developer is required to integrate personalization scripts.