Predictive AI for CRO & Performance Marketing

Convert 30% More with AI A/B Testing. Guaranteed.

Traditional A/B tests are slow and, once completed, show the same winning version to everyone, leaving countless conversions on the table. FunnelFlex uses Supervised ML to analyze users and their conversions, then predicts and dynamically displays the highest-converting variation for each visitor in real time.

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A/B Testing is Broken

It’s Too Slow

Traditional A/B tests take weeks or even months to gather enough data. By the time results are in, user behavior may have already changed, requiring another round of testing.

One-Size-Fits-All Approach

After an A/B test concludes, a single “winner” is deployed for all users, ignoring audience differences. What works for one visitor may not work for another, leading to lost opportunities and suboptimal performance.

Hard for Low-Traffic Sites

A/B testing requires large sample sizes to reach statistical significance, making it difficult for low-traffic websites to make data-driven decisions. Businesses with fewer visitors often end up relying on inconclusive results or gut feeling instead of true performance insights.

Changing Traffic Skews Results

User behavior and traffic sources change constantly, making traditional A/B tests outdated before they even finish. FunnelFlex dynamically adjusts in real time, ensuring results stay accurate—even when your traffic shifts.

Meet AI Personalization: AI-Powered A/B Testing

FunnelFlex builds a custom AI model for each website, learning from its visitors. It trains on 650+ user data points and conversion events like purchases and sign-ups. The model then personalizes the site in real time to maximize conversions.

Step 1
Supervised Model Training
🔹 FunnelFlex randomly assigns different variations of personalization (e.g., CTA button, layout, business logic) to different visitors.

🔹 It tracks conversions based on your defined goals (sign-ups, purchases, leads, etc.).

🔹 The model processes 650+ user data points, including device type, session behavior, traffic source, and engagement patterns.

🔹 As a result, each website receives a unique AI model trained on its specific audience and conversion data, which is then used for personalization.
Step 2
Personalization Stage
🔹 Once trained, FunnelFlex shifts from testing to real-time personalization.

🔹 The AI model predicts the best-performing variations for each visitor based on learned conversion patterns.

🔹 In real time, FunnelFlex dynamically applies these predictions to multiple elements of the site, such as CTAs, headlines, layouts, and business logic.

🔹 Most visitors receive a fully optimized, personalized experience, while a small portion continues to see randomized variations to improve the model over time.
Step 3
Auto-Retraining
🔹 Traffic behavior changes—so does FunnelFlex.

🔹 When user behavior shifts due to seasonality, new traffic sources, or promotions, FunnelFlex automatically re-trains the AI model.

🔹 A small control group continues to see randomized variations, ensuring the model continuously learns and adapts to new trends.

🔹 As a result, your site stays fully optimized at all times without manual effort.

Show Every Visitor the Best Variant and Maximize Conversions with AI

A/B testing treats all visitors the same. FunnelFlex adapts to each one. Using 650+ data signals, FunnelFlex predicts the best variant for every visitor—boosting conversions and revenue.

Solutions For Performance Marketing

AI Prediction

Most Smart Bidding ad campaigns require at least 50 weekly conversions to optimize effectively. FunnelFlex ML solves this by generating 5–30x more synthetic conversions.

01.
Predictive Conversion Modeling
AI assigns a conversion probability score to each visitor, estimating their likelihood of making a purchase or completing a desired action. These scores are then multiplied by conversion values to generate synthetic conversion signals.
02.
Synthetic Conversions
Using AI-predicted conversion scores, we generate 5–30x more synthetic conversions than actual purchases or goal completions. These signals are sent to ad platforms, helping them train campaigns more effectively and attract higher-intent visitors.
03.
Works for High-Ticket & Low-Volume Businesses
Optimizes campaigns for bootcamps, real estate, SaaS, luxury e-commerce, and other industries where real conversions happen infrequently but require precise targeting.
04.
Optimizes Campaigns Before Real Sales Happen
AI sends early predictive signals to ad platforms, improving targeting and campaign efficiency without waiting for actual purchases.

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.

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.