Create and A/B test different versions of your website and it’s elements to continuously discover the best-performing versions that improve your conversions.
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.
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
Engagement patterns
Based on this analysis, they dynamically adapt what each user sees. This can include 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.
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
8 Best AI personalization tools with top features
Disclaimer: The pros and cons listed are based on reviews and feedback from third-party sites such as G2, TrustRadius, and other sources.
1. Adobe Target
Adobe Target is a comprehensive AI-powered personalization and optimization platform that helps businesses deliver tailored experiences across websites, mobile apps, emails, and other digital touchpoints.
Built into the Adobe Experience Cloud and powered by Adobe Sensei, it simplifies creating, testing, and scaling personalized experiences. Its Auto-Target feature uses machine learning to choose the best-performing experience for each user based on past behaviors and contextual signals.
With Adobe Target, businesses can:
Leverage real-time behavioral data, historical interactions, and predictive analytics to deliver hyper-personalized content.
Use flexible personalization approaches, supporting both AI-driven automation and marketer-defined rules.
Create custom segments and design unique experiences for each group, while combining multiple offers using individual profile data.
Deliver dynamic product recommendations based on recent browsing or purchase history, enabling “next-hit” personalization that updates in real time for each user.
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
Cons
Advanced personalization with robust segmentation and targeting
Integration with non-Adobe products can be complex
Powerful A/B & multivariate testing across multiple channels
Poor customer support
AI-driven insights for auto-optimization (Auto-Target, Recommendations)
Seamless Adobe Analytics integration for real-time campaign insights
A customer experience as per G2 reviews:
One of the best aspects of Adobe Target is its ability to easily create and run A/B and multivariate tests across various channels. The platform’s robust targeting and segmentation options allow us to personalize user experiences based on detailed data, which improves conversion rates significantly. Additionally, the integration with Adobe Analytics provides powerful insights that help optimize campaigns in real time. The ease of setting up experiments without needing deep technical expertise is also a big plus.
Art B. Conversion Rata Optimisation Manager
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 enables brands to deliver personalized messages across multiple channels, including 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.
With Braze, businesses can:
Leverage BrazeAI, a suite of AI-powered capabilities, to enhance connections with customers and scale personalized experiences across every touchpoint.
Generate optimized content and drive measurable results in real time using advanced machine learning.
Use a fully integrated, human-centered approach, empowering marketing, lifecycle, and data teams to automate and personalize without compromising brand tone or authenticity.
Personalize content, offers, and entire journeys based on real-time behavior, purchase patterns, and predictive signals.
Perform AI-assisted A/B testing, message recommendations, AI-enhanced visuals, and dynamic content tailored to each customer.
Predict future behaviors such as 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
Cons
Offers advanced personalization with features like Liquid Logic and Connected Content
Advanced features can be complex for beginners
It offers efficient campaign building with drag-and-drop tools and central templates
Lacks robust revenue attribution and last-click analytics
Integrated across campaign, content, and customer journey layers
A customer experience as per G2 reviews:
I find Braze incredibly user-friendly, with its simple and intuitive UI, especially compared to other tools I’ve used like Salesforce. The guided tour is a great help for onboarding. Braze serves as a one-stop solution for multi-channel communications, including email, push notifications, SMS, and more, which simplifies managing campaigns for engagement and retention. The AI-driven messaging is very effective for segmentation and driving conversions. The canvas builder and campaign builder are among the most useful features, along with its ability to integrate with analytics platforms like Snowflake and Google Analytics. Its comprehensive nature makes it ideal for all communication needs.
Muhammad Abdullah S. CRM Campaign Manager
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 enables businesses to deliver individualized customer experiences across web, mobile apps, email, and other digital channels.
Its Experience OS leverages AI to predict and adapt to user behavior in real time, aligning content, products, and offers with each customer’s preferences. With a flexible, agnostic architecture, it integrates seamlessly into any existing tech stack.
With Dynamic Yield, businesses can:
Use affinity profiling, real-time segmentation, and predictive algorithms to deliver hyper-personalized experiences across touchpoints.
Continuously adapt user journeys in real time to boost engagement, loyalty, and conversions.
Deploy conversational AI (Shopping Muse) to make online shopping feel like a personalized, in-store experience.
Leverage natural language processing and image recognition to understand customer queries and intent with high accuracy.
Offer hyper-relevant product bundles and recommendations in real time, tailored to each shopper’s unique behavior and preferences.
Drive engagement and conversions by combining personalization algorithms with human-like interactions.
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
Cons
Robust segmentation & targeting for data-driven campaigns
Requires web development knowledge for advanced customization
Powerful A/B & multivariate testing for optimization
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 helps brands deliver seamless, personalized experiences throughout the customer lifecycle. Its intelligent engine, Clever.AI, combines data, behavioral insights, and generative AI to drive hyper-personalized engagement and long-term retention.
With CleverTap, businesses can:
Harness real-time behavior, demographics, and past interactions to deeply understand users.
Build smart segments, predict outcomes, and optimize every stage of the customer journey.
Run A/B tests, sentiment-aware messaging optimization, and lifecycle campaign orchestration to enhance engagement.
Personalize at scale using AI-driven tools like IntelliNODE for experimentation and Scribe for generative AI-driven messaging.
Continuously test and tailor experiences to match individual preferences across channels.
Deliver the next best experience through push notifications, in-app messages, email, or SMS, ensuring timely and relevant customer interactions.
Top features:
AI-driven predictive segmentation and personalization
Real-time experimentation and optimization (IntelliNODE)
Advanced segmentation, automation, and retention tools for powerful customer engagement
Advanced features can be complex for beginners
Multi-channel integration supports email, WhatsApp, push notifications, and in-app messaging
Limited journey flexibility
Real-time experimentation that enhances engagement strategies
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 enables businesses to deliver highly individualized experiences across websites, mobile apps, and communication channels like email, SMS, WhatsApp, and push notifications.
Its core strength lies in streamlining hyper-personalized content, product recommendations, and messaging to reach the right audience at the right time.
With Insider, businesses can:
Apply AI features like Send-Time optimization and Next-Best channel predictions to ensure campaigns are timely, relevant, and effective.
Go beyond basic segmentation with predictive personalization and behavioral targeting powered by billions of data points.
Leverage Sirius AI to automate customer journeys, generate campaign content, and optimize conversion strategies using simple text prompts and drag-and-drop editors.
Use Architect, its cross-channel journey builder, to unify interactions across multiple platforms without third-party tools.
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
Generative AI for campaign copy, images, and journey paths
Send-Time Optimization and Next-Best Channel Predictions
AI-driven audience segmentation
Pros
Cons
Comprehensive AI suite for full-funnel personalization
Difficulty in importing custom designs for web templates
Offers diverse & easy-to-use templates
Campaign setup can be challenging
Responsive and knowledgeable team that assists with onboarding and troubleshooting
Pricing:
Insider offers custom pricing based on business needs
Free trial:
It does not offer a free trial
A customer experience as per G2 reviews:
The Insider platform is very easy to use – we can consolidate data and build segments easily, and the product is easy to use to build campaigns without too much IT effort. We had problems with our previous email vendor since it didn’t offer stability and too many automation options. We get that with Insider. We used web push for the first time with Insider and are very impressed, as we are able to target the right segments with personalized content.
Dang L. Sales Specialist
6. Monetate
Monetate is an AI-driven personalization platform for eCommerce and digital businesses to deliver tailored customer experiences across all digital touchpoints. It helps brands personalize content, messaging, and promotions throughout the customer journey to improve engagement and boost conversions.
With Monetate, businesses can:
Leverage Orchid AI, which combines machine learning, natural language processing (NLP), and large language models (LLMs) to analyze behavior, predict intent, and optimize experiences in real time.
Move beyond simple segmentation with true one-to-one personalization that adapts dynamically to each user’s interactions.
Enhance product discovery with personalized search, delivering hyper-relevant results through AI-powered tuning and boosted visibility.
Use dynamic product recommendations that adjust automatically based on individual customer behavior.
Apply social proof strategies like scarcity and popularity messaging, personalized for each visitor, to build trust and create 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
Cons
Delivers real-time, personalized experiences across multiple channels
Not optimized for URL-based store views
Scheduled experiences & built-in analytics for tracking performance
It requires technical skills for advanced customization
Granular content control for regional/user-specific personalization
Quick A/B testing & personalization with hybrid/server-side implementation
Pricing:
Monetate offers customized pricing plans tailored to each business’s specific needs and requirements.
Free trial:
Monetate does not offer a free trial
A customer experience as per G2 reviews:
Monetate is easy to use, and the Knowledgebase is super helpful. Their support team is always available to help. Monetate is a powerful tool with lots of cool features for testing or solving problems.
Meredith S. UX Designer
7. Personyze
Personyze is an AI personalization platform that drives engagement and conversions by delivering hyper-personalized experiences across websites, emails, and mobile apps. Using machine learning and a wide variety of visitor data points, it enables businesses to provide real-time, individual-level personalization at scale.
With Personyze, businesses can:
Build unified visitor profiles by integrating CRM data, CDPs, behavioral signals, geolocation, weather, purchase history, and referral traffic.
Deliver personalized product and content recommendations, targeted banners, dynamic pop-ups, tailored email campaigns, and adaptive page content.
Combine algorithmic intelligence, crowd wisdom, and marketer-defined rules to maximize personalization accuracy.
Support 1:1 personalization and trigger real-time experiences based on dynamic behavioral cues.
Run A/B testing and leverage advanced segmentation to refine strategies.
Use its visual editor for intuitive setup and management, making it accessible for marketers without heavy technical support.
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
Personalization dashboard with custom KPI tracking
Pros
Cons
Extremely flexible targeting and personalization options
The interface can be complex
Easy onboarding and integration with CRMs, eCommerce, CMS, and CDPs
Lacks guided workflows
Excellent customer service, responsive and attentive support
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
Webflow Optimize (formerly Intellimize) is an AI-powered website personalization and experience optimization platform that enhances user engagement and boosts conversion rates. It uses machine learning to dynamically adjust website content in real time, tailoring the experience to each visitor’s behavior and preferences.
With Webflow Optimize, businesses can:
Its AI algorithms analyze user interactions to detect patterns and deliver dynamic content updates that resonate with individual visitors while addressing potential data privacy concerns.
Personalize content for both known and anonymous users with Enhanced Match, increasing engagement and conversion opportunities.
Use the AI Content Studio to generate copy, headlines, and calls-to-action with generative AI
Continuously refine user experiences with real-time optimization, testing, and adjustments to website elements.
Its AI algorithms analyze user interactions to detect patterns and deliver dynamic content updates that resonate with individual 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
Cons
Powerful visual website builder with near-full design control
Pricing may be on the higher side for small businesses
Facilitates rapid testing and optimization without developer intervention
Limited advanced eCommerce capabilities
Active community & learning resources (Webflow University, forums)
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.
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
Hear from our client:
I would recommend VWO for its robust A/B testing and personalization features that empower teams to make data-driven decisions, along with its intuitive reporting tools that provide actionable insights to continuously optimize user experiences and drive better business results.
Megan A Senior Conversion Rate Optimization Specialist at Fleetio
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.
Pro Tip!
VWO Copilot lets you easily create smart audience segments and campaign triggers using simple natural language, considering factors like location, device, and user behavior for precise targeting. It automatically sets triggers based on user actions and enables filtering reports by these segments for deeper insights into user behavior.
Here’s what one of our customers had to say:
VWO’s personalization features, combined with the CoPilot insights and reporting, make it easy to identify opportunities and take action fast, helping us deliver tailored experiences that convert.
George Salib Senior Manager – Digital Marketing at Orascom Hotels Management
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.
Watch this webinar featuring Sarah Fruy, VP of Marketing at Linqia, to learn how to embrace experimentation culture and find the right balance in personalization without being intrusive.
VWO gives you complete control to build experiences that not only feel personal but actually perform better for each segment of your audience.
AI personalizes user experiences by analyzing data such as browsing behavior, purchase history, and demographic information. It then tailors content, product recommendations, and messaging to individual users, enhancing engagement and customer satisfaction.
Q2. What are the risks and benefits of using AI for personalization in marketing?
Benefits: Enhances customer experience, increases efficiency, and scales personalized marketing. Risks: Data privacy concerns, over-personalization, and reliance on data quality.
Q3. Can AI personalization scare potential customers or enhance their experience?
AI personalization can enhance customer experience by providing relevant and timely content. However, if customers feel their data is being used without consent or if the personalization feels intrusive, it can lead to discomfort. It’s essential to balance personalization with transparency and respect for user privacy to avoid negative perceptions.
Q4. How can I measure the effectiveness of AI personalization in marketing campaigns?
Effectiveness can be measured using key performance indicators (KPIs) such as: Engagement rates: Monitoring click-through and conversion rates to assess how well personalized content resonates with the audience. Customer retention: Analyzing repeat visits and purchases to determine if personalization fosters loyalty. Return on investment (ROI): Calculating the financial return relative to the investment in AI personalization tools and strategies.
Q5. What AI tools can be used to personalize marketing campaigns and branded content?
Popular tools include Insider, Braze, CleverTap, Adobe Target, Dynamic Yield, and VWO
Q6. What is the best AI tool for personalization?
Best tools include Insider, Braze, or Adobe Target for comprehensive marketing.
Q7. Is Warmer AI free?
Warmer AI offers a free trial with 10 credits. Paid plans start at $59/month.
Hey there! I'm Aastha Trehan, a content marketer at VWO. I write, manage, and execute content. I love creating high-quality, engaging content that resonates with readers. When I'm not working, you can find me playing badminton or basketball, binge-watching movies, or getting lost in a good book. I'm also an adventure enthusiast and love trekking.
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