8 AI Personalization Tools to Drive Customer Engagement and Growth 

Netflix predicts exactly what you’ll want to watch next based on your preferences. Spotify suggests the perfect playlist tailored just for you. Amazon anticipates what you might buy next and shows personalized recommendations, making shopping easier than ever. 

That’s the power of AI-driven personalization in action.

Across industries, AI is transforming how brands engage with customers by moving from reactive to proactive experiences. Instead of simply responding to user behavior, companies are now anticipating it, delivering relevant content, products, and services at just the right moment.

And the results are undeniable. McKinsey research shows that fast-growing organizations generate 40% more revenue from hyper-personalization compared to their competitors. 

In this article, we’ll explore the powerful AI tools that fuel these predictive experiences and how they’re revolutionizing customer engagement and driving conversions.

What are AI personalization tools?

AI personalization tools are platforms that leverage artificial intelligence (AI) and machine learning (ML) to create highly tailored personalized experiences for each user based on their behavior, preferences, and data points.

These tools analyze user interactions, such as browsing behavior, clicks, purchases, location, and engagement patterns, to dynamically adapt what each user sees. This includes personalized content, product recommendations, email messaging, push notifications, and even ad creatives.

By delivering the right message to the right person at the right time, AI personalization tools enable businesses to:

• Improve customer engagement
• Increase conversions and sales
• Build stronger customer relationships
• Reduce churn
• Maximize marketing ROI

What sets these tools apart is their ability to learn and optimize in real time. As customer behavior changes, machine learning models continuously update, allowing personalization to evolve and scale effortlessly across channels like web, mobile, email, and more.

8 Best AI personalization tools: A quick glimpse

• Adobe Target
• Braze
• Dynamic Yield
• CleverTap
• Insider
• Monetate
• Personyze
• Webflow Optimize

8 Best AI personalization tools with top features

1. Adobe Target

Adobe Target is a comprehensive AI-powered personalization and optimization platform that helps businesses deliver tailored digital experiences across websites, mobile apps, emails, and other digital touchpoints. Built into the Adobe Experience Cloud and powered by Adobe Sensei, its AI and machine learning engine simplifies the process of creating, testing, and scaling personalized experiences.

With Adobe Target, businesses can leverage real-time behavioral data, historical interactions, and predictive analytics to serve hyper-personalized content to each visitor. Its Auto-Target feature utilizes machine learning to choose the best-performing experience for each individual, based on past visitor behaviors and contextual signals. This ensures that each user sees the content most likely to drive engagement and conversion.

One of the key features is its flexibility, it supports both automated AI-driven personalization and marketer-defined rules. You can create custom segments, define unique experiences for them, and even combine multiple offers using individual profile data. For example, marketers can dynamically personalize product recommendations based on what a user has just browsed or purchase history, enabling “next-hit” personalization that reacts in real-time to user actions.

Top features:

• Auto-Target for AI-driven content personalization
• Automated Personalization using machine learning algorithms
• Next-hit personalization with Adobe Real-Time CDP
• A/B and multivariate testing capabilities
• Visual Experience Composer for easy test creation
• Integration with Adobe Analytics for enhanced insights
• Cross-channel personalization across web, mobile, and email
• AI-powered product recommendations powered by Adobe Sensei
• Audience segmentation and targeting
• Real-time behavioral targeting

Pros:

• Advanced personalization with robust segmentation and targeting
• Powerful A/B & multivariate testing across multiple channels
• AI-driven insights for auto-optimization (Auto-Target, Recommendations)
• Seamless Adobe Analytics integration for real-time campaign insights

Cons:

• Integration with non-Adobe products can be complex  
• Poor customer support

Pricing:

Adobe Target offers a customized pricing model 

Free trial:

Adobe Target does not offer a free trial

2. Braze

Braze is a customer engagement and personalization platform that empowers brands to deliver personalized messages across multiple channels like email, push notifications, in-app messaging, SMS, and more. It helps businesses build customer loyalty by unifying data, context, and automation to deliver highly targeted communication.

It includes BrazeAI, a suite of AI-powered capabilities to enhance how brands connect with customers. It brings advanced machine learning to every touchpoint in the customer journey, helping the marketing teams scale personalized experiences, generate optimized content, and drive measurable results in real-time.

It offers a fully integrated, human-centered approach. From predictive targeting to AI copywriting assistance, it empowers marketing, lifecycle, and data teams to automate and personalize with ease, without compromising on brand tone or authenticity. It allows users to personalize content, offers, and entire journeys based on real-time behavior, purchase patterns, and predictive signals.

Additionally, it offers AI-assisted A/B testing, message recommendations, AI-enhanced visuals, and dynamic content tailored to each customer. The system can predict future behaviors like the best timing, format, and message for each user interaction, driving higher conversions, retention, and lifetime value.

Top features:

• AI copywriting assistant for branded, on-tone content
• Predictive customer behavior targeting
• Personalized product and content recommendations
• One-click A/B test generation
• Real-time optimization across touchpoints
• AI-powered image and graphic creation
• Auto-optimization of timing, copy, and channel
• ML-driven journey experimentation and automation

Pros:

• Offers advanced personalization with features like Liquid Logic and Connected Content
• It offers efficient campaign building, like drag-and-drop tools and central templates 
• Integrated across campaign, content, and customer journey layers

Cons:

• Advanced features can be complex for beginners
• Lacks robust revenue attribution and last-click analytics

Pricing:

Custom pricing based on usage, company size, and channels

Free trial:

Braze offers a 14-day free trial

3. Dynamic Yield

Dynamic Yield is an AI-powered personalization and experience optimization platform that helps businesses deliver individualized customer experiences across various digital channels, including web, mobile apps, email, and more. 

It aligns content, products, and offers with each customer’s needs and preferences for deeper engagement and drives loyalty. Its Experience OS leverages AI algorithms to predict and adapt to user behavior in real-time, creating a seamless, customized journey across touchpoints. It uses affinity profiling, real-time segmentation, and predictive algorithms. Its flexible, agnostic architecture means it can integrate effortlessly with your existing stack.

Its conversational AI, Shopping Muse, makes online shopping feel like a friendly, in-store experience. It intelligently understands customer queries and preferences using natural language processing, image recognition, and personalization algorithms. This ensures that customers feel valued, and it also suggests hyper-relevant product bundles in real time, ensuring each interaction is tailored to the shopper’s unique intent, driving both engagement and conversion with a human-like touch.

Top features:

• AI-powered Experience OS for personalization
• Real-time audience segmentation
• Omni-channel personalization 
• Trigger-based behavioral messaging
• Personalized product and content recommendations
• Shopping Muse chatbot that mimics in-store assistance 
• Instant campaign insights and uplift suggestions
• A/B and multivariate testing tools
• Built-in analytics and reporting

Pros:

• Robust segmentation & targeting for data-driven campaigns
• Seamless omnichannel experience (web, mobile, email)
• Powerful A/B & multivariate testing for optimization

Cons:

• Requires web development knowledge for advanced customization
• Time-consuming integration (page-by-page setup)

Pricing:

Dynamic Yield offers custom pricing that varies based on the size of the business. 

Free trial:

14-day 

4. CleverTap

CleverTap is an AI-powered customer engagement platform that empowers brands to craft seamless customer lifetime experiences. Its AI-powered tool, Clever.AI, is an intelligent tool that blends data, behavioral insights, and generative AI to help businesses drive hyper-personalized engagement and long-term retention.

By harnessing data and advanced analytics, it enables marketers to understand their users deeply, based on real-time behavior, demographics, and past interactions. It offers actionable intelligence to build smart segments, predict outcomes, and optimize every step of the user journey. From A/B testing to emotional content personalisation and lifecycle campaign orchestration, it transforms how brands engage customers across their lifetime.

CleverTap personalizes at scale. It uses AI-driven experimentation tools like IntelliNODE and generative AI like Scribe, businesses can continuously test and tailor messaging and experiences that match individual preferences. It ensures every customer receives the next best experience, whether through push notifications, in-app messages, email, or SMS.

Top features:

• AI-driven predictive segmentation and personalization
• Real-time experimentation and optimization (IntelliNODE)
• Generative AI content assistant (Scribe)
• Automated customer journey orchestration
• Omnichannel campaign management (push, email, SMS, in-app)
• Behavior-based targeting and personalization
• AI-powered decisioning for next-best experiences
• Visual dashboards and performance insights

Pros:

• Advanced segmentation, automation, and retention tools for powerful customer engagement
• Multi-channel integration supports email, WhatsApp, push notifications, and in-app messaging
• Real-time experimentation that enhances engagement strategies

Cons:

• Advanced features can be complex for beginners
• Limited journey flexibility

Pricing:

Pricing starts at $75/month

Free trial:

It offers a 30-day free trial

5. Insider

Insider is an AI-native omnichannel experience and customer engagement platform that helps businesses create deeply individualized experiences across websites, mobile apps, and multiple communication channels like email, SMS, WhatsApp, and push notifications. Its primary purpose is to streamline the process of delivering hyper-personalized content, product recommendations, and messaging to the right audience at the right time.

Insider helps businesses go beyond simple segmentation by offering predictive personalization and behavioral targeting based on billions of data points. The platform uses its proprietary Sirius AI to automate customer journeys, generate campaign content, and optimize conversion strategies end-to-end, all from intuitive text prompts and drag-and-drop editors.

It’s cross-channel journey builder, Architect, allows marketers to unify interactions across platforms without needing third-party tools. When combined with AI features like Send-Time optimization and Next-Best channel predictions, it empowers teams to drive measurable revenue, improve engagement, and maximize ROI.

Top features:

• Advanced website and mobile app personalization
• AI-powered product recommendations and merchandising strategies
• Personalized, intent-based site search (EUREKA)
• Two-way conversational commerce via WhatsApp and chatbots
• AI-powered push notifications for anonymous and logged-in users
• Drag-and-drop cross-channel journey builder (Architect)
• Generative AI for campaign copy, images, and journey paths
• Send-Time Optimization and Next-Best Channel Predictions
• AI-driven audience segmentation

Pros:

• Comprehensive AI suite for full-funnel personalization
• Offers diverse & easy-to-use templates
• Responsive and knowledgeable team that assists with onboarding and troubleshooting

Cons:

• Difficulty in importing custom designs for web templates
• Campaign setup can be challenging 

Pricing:

Insider offers custom pricing based on business needs

Free trial:

It does not offer a free trial

6. Monetate

Monetate is a comprehensive AI-driven personalization platform that helps eCommerce and digital businesses deliver tailored customer experiences across all digital touchpoints. It enables brands to personalize content, messaging, and promotions throughout the customer journey, enhancing engagement and driving conversions.

It’s Orchid AI, an intelligence layer that leverages machine learning, natural language processing (NLP), and large language models (LLMs) to analyze customer behavior, predict intent, and optimize experiences in real time. This allows businesses to move beyond basic segmentation, offering true one-to-one personalization that adapts dynamically to each user’s interactions.

Monetate stands out with its advanced capabilities in personalized search, offering hyper-relevant results through AI-powered tuning and boosted visibility. Its product recommendations feature adapts dynamically based on customer behavior, and it offers social proof strategies like scarcity and popularity messaging, personalized to each visitor to build trust and drive urgency. 

Top features:

• Orchid AI: Advanced AI engine for real-time personalization
• AI-powered search experiences tailored to user intent
• Product recommendations based on customer behavior
• A/B and multivariate testing
• Feature experimentation
• Audience segmentation
• Cross-channel personalization
• In-depth insights into campaign performance

Pros:

• Delivers real-time, personalized experiences across multiple channels
• Scheduled experiences & built-in analytics for tracking performance
• Granular content control for regional/user-specific personalization
• Quick A/B testing & personalization with hybrid/server-side implementation

Cons:

• Not optimized for URL-based store views 
• It requires technical skills for advanced customization

Pricing:

Monetate offers customized pricing plans tailored to each business’s specific needs and requirements. 

Free trial:

Monetate does not offer a free trial

7. Personyze​

Personyze is an AI personalization platform that optimizes user engagement and conversions through hyper-personalized experiences across websites, emails, and mobile apps. It leverages machine learning algorithms and a wide range of visitor data points to create real-time, individual-level personalization at scale.

It excels at building a unified visitor profile by integrating data from CRM systems, CDPs, behavioral data, geolocation, weather, past purchases, and even referral traffic. These profiles inform personalized product and content recommendations, targeted banners and pop-ups, email marketing personalization, and dynamic page content. It combines algorithmic intelligence with crowd wisdom and marketer-defined rules. 

Additionally, it supports 1:1 personalization, dynamic behavior triggers, A/B testing, and advanced segmentation, all within a user-friendly visual editor. It’s ideal for marketers looking to deliver relevant, timely, and consistent experiences that align with customer needs and preferences across the entire customer journey.

Top features:

• Real-time website personalization 
• AI-powered product, content, and email recommendations
• 1:1 cross-channel personalization across web, email, and apps
• Visual WYSIWYG editor for content customization
• Open-time personalized emails based on the latest behaviors
• Pre-built responsive personalization widgets (popups, banners, etc.)
• Advanced A/B testing and previewing tools
• Personalization dashboard with custom KPI tracking

Pros:

• Extremely flexible targeting and personalization options
• Easy onboarding and integration with CRMs, eCommerce, CMS, and CDPs
• Excellent customer service,  responsive and attentive support

Cons:

• The interface can be complex
• Lacks guided workflows 

Pricing:

Pricing starts from $250/month (billed monthly) 

Free trial/Starter plan:

Personyze offers a free Starter Plan (5,000 monthly pageviews) instead of a free trial

8. Webflow Optimize 

Previously known as Intellimize, Webflow Optimize is an AI-powered website personalization and website experience platform that enhances user experiences and drives higher conversion rates. It leverages machine learning and dynamically adjusts website content in real-time based on individual visitor behavior and preferences, ensuring each user receives a tailored experience.

It offers features like Enhanced Match, which enables to personalize content even for anonymous users, increasing engagement and conversion opportunities. Its AI Content Studio provides generative AI suggestions for copy, headlines, and calls-to-action, streamlining content creation and ensuring messaging aligns with audience preferences. 

Webflow Optimize’s real-time optimization capabilities allow for continuous testing and refinement of website elements. Its AI algorithms analyze user interactions to identify patterns, facilitating dynamic content adjustments that resonate with visitors while addressing potential data privacy concerns.

Top features:

• AI landing pages with generative content creation
• Real-time website personalization
• Automated A/B and multivariate testing
• Behavioral targeting and segmentation
• Visual editor for content customization
• Dynamic content optimization
• AI content studio
• Performance analytics and reporting

Pros:

• Powerful visual website builder with near-full design control
• Facilitates rapid testing and optimization without developer intervention
• Active community & learning resources (Webflow University, forums)

Cons:

• Pricing may be on the higher side for small businesses
• Limited advanced eCommerce capabilities

Pricing:

Webflow Optimize pricing starts from $14/month (billed yearly)

Free trial/Starter plan:

Webflow Optimize does not offer a free trial, but businesses can get started with a free Starter Plan to explore the platform’s core features before upgrading.

Which AI personalization tool is right for your business?

Whether you’re trying to increase conversions, retain users, or improve the overall customer experience, the right AI personalization tool can help you deliver the right message to the right user at the right time. But with so many tools promising real-time targeting, cross-channel automation, and AI-driven insights, how do you know which one aligns with your business needs?

The answer lies in your goals, resources, team structure, and the type of customer journey you offer. Some platforms are ideal for large enterprises with complex user data pipelines. Others are more suitable for fast-moving marketing teams that need speed, simplicity, and scalability.

To make your decision easier, here’s a comparison table of the top AI personalization tools.

Tool name	Standout features	Pricing	Free trial
Adobe Target	Auto-target, Automated personalization, Real-time CDP, A/B & multivariate testing, Adobe Sensei AI recommendations	Custom pricing	Does not offer  a free trial
Braze	AI-driven copywriting, Predictive targeting, Journey orchestration, Real-time optimization, AI-powered content generation	Custom pricing	14-day trial
Dynamic Yield	AI-powered Experience OS, Shopping Muse AI for eCommerce, Omnichannel optimization, Real-time segmentation	Custom pricing	14-day trial
CleverTap	Predictive segmentation, Lifecycle orchestration, Real-time campaign optimization, Advanced user targeting	Starts at $75/month	30-day trial
Insider	Sirius AI, Multi-channel personalization, EUREKA search for real-time customer journey optimization, WhatsApp & chatbot commerce, AI for campaigns	Custom pricing	Does not offer a free trial
Monetate	Orchid AI, Personalized search, Social proof strategies, Cross-channel optimization, Real-time personalization	Custom pricing	Does not offer a free trial
Personyze	AI-based personalization, Dynamic email content, Real-time behavior targeting, Pre-built widgets for campaigns	Starts at $250/month	Free starter plan (5K views)
Webflow Optimize	Generative AI content creation, Real-time personalization, Enhanced targeting for anonymous users, AI Content Studio	Custom pricing	Does not offer a free trial, but you can get started with a starter plan

Improve your customer experience with AI personalization tools

Today’s customers expect brands to know what they like, what they need, and when they need it. AI personalization tools help you move beyond generic experiences and connect with people in ways that feel natural and relevant. Here are a few ways brands are using AI personalisation tools to create more meaningful customer journeys:

1. Smart product recommendations

AI helps to show users what they’re most likely to buy based on their browsing behavior, preferences, and past purchases.

Example: A customer shopping for a DSLR camera on your website. After they add the camera to their cart, they’re instantly shown compatible lenses and a camera bag. That’s exactly what Amazon does with its “Frequently bought together” and “Customers also viewed” sections.

2. Dynamic website content

Instead of showing everyone the same homepage or offer, AI can switch things up based on who’s visiting, like showing a first-time visitor a welcome message or highlighting a sale to someone who’s been eyeing a product.

Example: A beauty site shows “Top picks for dry skin” to someone who previously browsed moisturizers.

3. Helpful next steps

Whether it’s nudging someone to read a related article, download a guide, or complete their purchase, AI helps guide people through your site in a way that feels intuitive, not pushy.

Example: A user who has just completed three beginner-level Python tutorials on your platform. Instead of leaving them to figure out what’s next, your AI system recommends a project-based course.

4. Timely nudges

If someone leaves a cart behind or keeps revisiting a product, you can automatically follow up with a gentle reminder, discount, or suggestion that feels like good timing, not just another email.

5. Automatic audience groups

Instead of manually creating segments, AI helps you group users based on similar behaviors, so your campaigns hit closer to conversions.

Example: A music app that builds a “Monday Motivation” playlist for users who listen to upbeat tracks every Monday morning.

6. Personalized messages 

From emails to app notifications, you can send updates that reflect a person’s interests, habits, and where they are in the journey, which encourages users to take action.

Example: If an item you were eyeing goes on sale, Amazon sends a notification like, “Your wishlist item is now 20% off. Grab it before it sells out!

Key features to look for in AI personalization tools

1. Behavioral tracking

Behavioral tracking follows users’ actions across different pages, sessions, and even devices, tracking clicks, scroll depth, time on page, exits, and more. The better you understand what users are doing, or not doing, the more accurate and meaningful your personalization efforts become. This helps build detailed user profiles, fuels recommendation engines, and allows you to predict intent.

2. Advanced segmentation

It leverages behavioral, contextual, psychographic, and predictive data to create hyper-targeted groups. It allows you to tailor your messaging and offers with precision, therefore increasing relevance, better engagement rates, and ensuring your marketing efforts don’t go to waste.

3. AI/ML recommendation engine

Recommendation engines use machine learning algorithms like collaborative filtering, deep learning, or hybrid models to suggest products based on a user’s behavior. For instance, “You might also like” product suggestions.

This is one of the most commonly expected features. These engines reduce decision fatigue and surface the most relevant items without manual rule-building. 

4. Predictive targeting / Next-best action

Rather than waiting for users to act, predictive targeting uses AI models to anticipate their next move, what page they’re likely to visit, whether they’re at risk of leaving, or if they’re primed to purchase. Tools can then recommend the next-best action, like a discount, a nudge, a personalized follow-up, or even a chatbot intervention.

This allows you to move from reactive to proactive personalization. It improves timing, enhances user experience, and drives smarter engagement based on expected behavior, not just past actions.

5. Real-time personalization

Real-time personalization allows your platform to dynamically change what a user sees based on their live behavior. If your site can respond in the moment, by surfacing relevant content, you dramatically increase the chances of converting a casual visitor into an engaged lead or paying customer. This reduces friction, keeps users hooked, and improves the overall user experience.

6. Dynamic content delivery

This allows you to change specific elements on a page, like banners, product categories, copy, CTAs, or even entire sections, based on who the visitor is. One dynamic page can intelligently adapt to different users. This drastically reduces production time and makes personalization scalable. It also ensures that every user sees the content most relevant to them, improving conversions and engagement.

7. Omnichannel personalization

This feature enables consistent messaging and user experiences across all customer touchpoints, whether on your website, app, email, or even in-store if applicable. Users expect consistency. This feature ensures continuity, reinforces brand identity, and increases the chances of conversion by meeting users where they are with consistent, personalized experiences.

8. Analytics & personalization insights

Robust analytics dashboards give you visibility into campaign performance, segment behavior, conversion funnels, and test results. It makes personalization efforts more strategic, helps justify investment to stakeholders, and enables continuous improvement through data-backed decisions.

9. Privacy & compliance controls

AI personalization tools must walk the line between relevance and responsibility. With increasing data privacy regulations (GDPR, CCPA, etc.), and AI tools handling large amounts of personal data, your tools should offer consent management, data anonymization, right-to-forget controls, and transparent data storage and usage policies.

Personalization is only effective when users trust you. Ethical, compliant data practices help protect your brand while still delivering deeply relevant experiences.

VWO’s Integrated Approach to Data-Driven Personalization

Personalization is powerful. Done well, it builds relevance and trust. But personalization alone isn’t enough. Because personalization doesn’t tell you if the experience actually works.

You can show different headlines, offers, or product suggestions, but unless you’re testing those variations, you’re just hoping they perform better. Testing tells you which personalized experiences actually move the needle. It brings clarity to what drives clicks, engagement, and conversion, and what doesn’t. And before you even get to testing, you need to understand how users behave in the first place.

That’s why user behavior analysis is the essential first step. You can’t optimize what you don’t understand. You need to see what users click, where they drop off, what frustrates them, and what leads them to convert. That’s the foundation for any smart decision.

This is the strength of VWO. Where most platforms isolate these steps, VWO brings them together, so you don’t just personalize, you:

• See what your users do with VWO Insights (heatmaps, session recordings, form analytics)
• Test what boosts your key metrics with VWO Testing, run A/B, multivariate, and split tests to identify the changes that improve key metrics.
• Deliver experiences that convert with VWO Personalize, based on real data, not assumptions

Building Smarter Segments with Behavioral Data

VWO helps businesses deliver hyper-personalized experiences at scale by unifying visitor data from multiple sources, including browser properties, behavioral signals, uploaded attribute lists, and third-party platforms via native or API-based integrations. This is where VWO’s Customer Data Platform, Data360, plays a crucial role.

Data360 consolidates all your customer data across sessions, devices, and tools into a single, unified profile. It helps you see the full picture: what users do, where they come from, how they behave over time, and what truly matters to them. And this unified understanding is exactly what powers personalization.

VWO Personalize taps into this data to help you build precise audience segments and craft experiences that align with real user intent, not assumptions. Using VWO’s Visual Editor, you can effortlessly design dynamic content, such as personalized hero banners, custom pop-ups, overlays, and segmented messaging, to match these audience segments.

You can personalize across the entire customer journey, and even trigger experiences in real time, like showing a message when someone scrolls to a certain point, lingers on a page, clicks a button, or signals exit intent.

Start with optimization, scale with personalization

The most successful digital experiences aren’t just personalized, they’re optimized first, then personalized based on validated insights. When personalization is powered by experimentation and combined with user behavioral insights, it becomes more than just different content for different people, it becomes a strategic advantage.

VWO gives you complete control to build experiences that not only feel personal but actually perform better for each segment of your audience.

Start your free trial today!

Frequently asked questions (FAQs)