
63 Best eCommerce Personalization Tools for Better UX and Higher ROI
July 26th, 2025
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Imagine this: You’ve put in the hard work to drive traffic to your online store. But when visitors arrive, they don’t take action. Instead of making a purchase, they bounce back to their search results. This scenario can be devastating, especially for small businesses. Luckily, eCommerce personalization tools can help you turn this situation around. This blog will help you find the most effective eCommerce personalization tools to improve user experience, increase conversions, and deliver a higher return on investment, without wasting time or budget on the wrong solutions.
Ground’s eCommerce personalization platform can help you achieve these goals by delivering tailored shopping experiences that adapt to individual visitors in real-time. The result? You boost conversions, reduce cart abandonment, and elevate overall customer satisfaction.
Table of Content
What is Ecommerce Personalization?
60+ Best eCommerce Personalization Tools
Tips for implementing eCommerce personalization
Book a Call for a Free Action Plan | Get an ROI Guarantee or Your Money Back
What is Ecommerce Personalization?

eCommerce personalization tailors the online shopping experience to fit individual users. By using data on visitors’ behavior, preferences, and demographics, brands can create custom experiences that cater to specific visitors. It’s similar to how email segmentation enables marketers to personalize their messaging for different audiences; eCommerce personalization aims to enhance the efficiency of online stores.
The High-Stakes Impact of Personalization
The details of eCommerce personalization may seem small to customers, but they can have a significant impact on their buying behavior. For instance, a 2021 study by McKinsey found that companies with effective personalization strategies see 40% more revenue than those with merely decent efforts.
The same study found that 71% of consumers now expect personalization as the new standard for the brands they shop from.
What Can Be Personalized in eCommerce Platforms?
Brands can personalize a wide range of elements on eCommerce sites to enhance the shopping experience for their customers. Here’s a look at some of the most effective aspects of eCommerce sites to personalize:
Product Recommendations
Let’s say a customer recently bought a unique set of tabletop dice. A smart eCommerce site would recognize their penchant for quirky, artisanal dice and suggest similar items—like a set that features floral designs for their next game.
Browsing Experiences
Instead of adopting a one-size-fits-all homepage, consider optimizing your site to reflect the preferences and interests of your target audience. This doesn’t mean creating different landing pages for each visitor. But instead, ensure that the elements on your homepage align with what your core audience values.
For instance, if your demographic leans toward the quirky or niche, showcase products or features that cater to their unique tastes, such as themed dice sets for the D&D enthusiasts like me.
Content Suggestions
While eCommerce personalization primarily focuses on shopping, the overall online experience can be enhanced with tailored content suggestions. If someone recently bought a dice set, recommend a blog post on D&D character builds or a video tutorial on different tabletop dice games.
Not only does this enrich their visit, but it can also keep them engaged longer on your platform. Platforms like YouTube often use this strategy, suggesting videos based on past viewing habits, and eCommerce sites can adopt a similar approach for blogs and articles.
Personalized Promotions and Discounts
Based on the customer’s buying history and on-site behavior, offer tailored discounts or special deals. Let’s say someone frequently browses high-end dice sets but never makes the final purchase. A limited-time discount on those sets might just seal the deal.
Interactive Quizzes and Tools
Allow customers to interact with and find products that fit their specific needs or desires by embedding interactive quizzes or tools directly within product category pages or as a prominent feature on the homepage. Imagine a "Find Your Perfect Dice Set" quiz where choices determine the suggested products:
Style
Material
Price range
It’s fun, engaging, and incredibly personalized.
What is Ecommerce Personalization Software?
Ecommerce personalization software helps online businesses tailor the shopping experience for each visitor. It uses data such as browsing history, preferences, and behavior to display relevant:
Products
Offers
Content
The Toolkit for Engaging Shoppers
This makes the shopping journey more engaging and increases the chance of a sale. These tools often include features such as:
Product recommendation widgets
Personalized banners
In-app stories
Interactive challenges
They use AI decisioning to segment users at a 1:1 level, meaning recommendations are based on real-time, individual behavior rather than broad groups. This creates a more precise and effective personalization strategy.
Why eCommerce Personalization is Critical for B2C Businesses in 2025?
Ecommerce personalization is becoming a must-have for B2C businesses in 2025. Meeting rising customer expectations means delivering tailored, relevant experiences that convert. Here are the key reasons why personalization is crucial for your e-commerce success:
Higher Customer Expectations
Shoppers demand relevant, fast, and simple experiences tailored to their preferences. Personalization meets these needs effectively.
Competitive Advantage
Personalized experiences help your brand stand out, attracting and retaining more customers in a crowded market.
AI-Driven 1:1 Segmentation
Tools like Nudge utilize AI decisioning to create precise user segments, enhancing engagement and conversion rates.
Reduced Bounce Rates
Personalized content keeps visitors engaged for longer, reducing bounce rates and increasing the likelihood of purchase.
Customer Loyalty
Tailored experiences foster trust and encourage repeat business, ultimately enhancing lifetime customer value.
Data Tracking and Insights
Tracking all user actions and events allows continuous optimization of marketing strategies and user experience.
Continuous Improvement
Utilizing real-time data enables businesses to adapt quickly to shifting customer behavior and preferences.
Related Reading
• eCommerce Personalization Examples
• Personalized Shopping Experience
60+ Best eCommerce Personalization Tools
1. Ground

Personalization in 2025 is all about the full-funnel strategy. You can't just think about personalizing the retention experience or the site experience for first-time visitors. The question is about how you personalize all touchpoints, especially the communications side. Ground AI is a comprehensive solution that utilizes three AI models working in tandem.
Targeting the Full Customer Lifecycle
Greet AI helps first-time customers by personalizing the welcome offer based on source behavior (i.e., the Meta or Google ad from which someone came), and dynamically showcases the right offer at the right time. ReBeat AI, on the other hand, personalizes the retention piece of the funnel for existing customers.
Key Capabilities
You're testing ads, influencers, email... and still growing your DTC. What if, in 5 minutes and 1 line of code, you could add 20% growth? Ground AI is the top revenue driver, helping brands grow impossibly fast with our eCommerce personalization platform. Brands using Ground grow, on average, 20% more a year. That’s $200K in extra revenue if you’re making $1M today!
A Full-Funnel Growth Engine
With Ground, you can automatically acquire more first-time customers, ensure you're converting as many bounced sales, and increase repeat purchase revenue (more cross-selling, replenishment, and subscriptions). Book a call for a free action plan and get an ROI guarantee or your money back.
2. Persado Dynamic Motivation

Overview: Online cart abandonment averages over 70%. Persado Dynamic Motivation is a leading tool that utilizes personalization and session data, powered by Persado Motivation AI—a specialized class of Generative AI trained on over 10 years of enterprise marketing data—to deliver high-performing online cart messaging.
Personalized Language for a Powerful Push
While one customer might see “Amazing choices,” another will see “You have great taste.” The messaging in the online cart is based on the customer’s browsing behavior, preferences, buying history, and other relevant factors. So each customer will see language that inspires them to complete their purchase.
Motivating the Final Step
The online cart presents a critical opportunity for personalization along the customer journey, but most brands overlook it. Brands that utilize Dynamic Motivation in their online shopping carts to reduce cart abandonment before it occurs can expect a potential 3-5% increase in e-commerce revenue.
Key Features
Multichannel functionality for website and email
Fast ROI and ROAS
Upgrades online cart from static to personalized and dynamic
Free 60-day trial
3. Vue.ai

Overview: Vue.ai is a Digital Experience Management (DXM) platform trusted by over 150 enterprise retailers. The Vue.ai suite of tools uses AI and automation to help retailers drive revenue and reduce costs through personalized and curated eCommerce experiences. Using Vue.ai, retailers can:
Organize data from various sources
Tag products for seamless searchability
Access quality product images
Through its wide range of applications, Vue.ai streamlines inventory management and customizes the overall customer experience. eCommerce retailers use the Vue.ai product suite to automate and personalize:
Outfit recommendations
Subscription box curation
On-model imagery
Key Features
Inventory and content management
Omnichannel personalization, and personalized search and discovery
Virtual dressing room
Personalized product recommendations
4. SheerID

Overview: SheerID enables brands to offer exclusive discounts on their eCommerce website to:
Students
Teachers
Healthcare professionals
First responders
Military members
Other groups with preferred status
Verifying Exclusive Discounts at Scale
While many brands proudly offer these discounts in stores, it’s challenging to know online who belongs to these groups. SheerID makes it easy for enterprise brands to verify these customers and offer gated discounts at scale. Verification occurs entirely on the website to reduce friction and eliminate the need to create an account.
Key Features
20K+ authoritative data sources instantly verify a customer’s eligibility
Build an exclusive offer directly in the e-commerce flow
Fraud protection
Collect zero-party data
5. Talon.One

Overview: Talon.One is a loyalty and promotion engine that enables enterprise brands to create programs with engaging and automated incentives. No coding required. Building loyalty in-house takes longer and requires significant tech investment. With Talon.One, brands skip those steps and launch a full-scale loyalty program quicker and with fewer internal resources.
Once the loyalty program is up and running, Talon.One can boost conversions with fully automated and scalable coupons, referrals, and discounts personalized to the preferences of top customers.
Key Features
Cross-brand compatibility
Enterprise security
Campaign insights
Gamification
6. Jebbit

Overview: Product quizzes enable customers to determine which products are best suited for their needs. They also help brands get to know their customers. Jebbit makes it simple for brands to create engaging quizzes, lookbooks, surveys, and other gamified experiences, enabling them to better connect with audiences across various channels.
These enhanced customer experiences require no code. They can be easily implemented and updated. Brands can launch quizzes wherever their customers engage, including on partner/retailer sites, mobile apps, packaging, or social media platforms.
Key Features
35+ apps and integrations for seamless launch
Capture zero-party data
Instant analytics and reporting
Reduce returns and boost conversions
7. Nudge

Nudge combines AI-driven 1:1 personalization with real-time user experiences like nudges, gamification, and product recommendations inside apps and websites. Its advanced AI decisioning dynamically adapts experiences based on individual user behavior, enabling highly relevant interactions.
Unified and Effortless Approach
Unlike traditional personalization tools that rely heavily on email or SMS, Nudge focuses on in-app and on-site engagement. This ensures users get the right message at the right moment without being overwhelmed. Its seamless integration with platforms like Braze, Segment, and Mixpanel allows businesses to unify data sources and automate smart nudges effortlessly.
Simplified Personalization for Scalable Growth
This makes Nudge ideal for B2C companies looking to boost feature adoption and increase sales without complex setup or heavy manual work. By combining real-time AI decisioning with flexible workflows, Nudge simplifies complex personalization at scale and accelerates business growth.
8. Bloomreach

Bloomreach offers AI-powered personalization that unifies search, merchandising, and content into a single platform. It delivers consistent and relevant shopping experiences across web and mobile channels.
AI-Driven Discovery and Conversion
The platform’s advanced analytics enable brands to understand customer intent and tailor their journeys accordingly. Its AI engine powers dynamic product recommendations, personalized search results, and targeted content that drive discovery and conversions. It also supports deep integration with ecommerce and marketing systems, ensuring seamless data flow.
Brands using Bloomreach benefit from improved customer satisfaction and higher average order values.
9. Dynamic Yield

Dynamic Yield uses machine learning to deliver personalized product recommendations, promotional offers, and content tailored to individual visitors. The platform supports both A/B and multivariate testing, enabling brands to experiment with various elements and optimize results.
Dynamic Segmentation Across All Channels
It provides real-time segmentation that adjusts dynamically based on user behavior and context. Dynamic Yield’s detailed analytics help marketers identify the highest-impact personalization tactics. The tool works across:
Web
Mobile apps
Email
Kiosks
It’s designed to improve conversion rates and customer lifetime value by crafting unique user experiences.
10. Klaviyo

Klaviyo is known for its robust data unification capabilities, which aggregate customer information from e-commerce stores, websites, and apps. It allows highly granular segmentation to tailor marketing messages based on real-time user activity and preferences.
A Synced Approach to Personalization
While primarily a marketing automation platform, Klaviyo supports personalized on-site experiences by syncing data across channels. This synchronization enables B2C businesses to deliver customized product suggestions and offers that enhance conversions and customer retention.
The platform’s detailed reporting also helps teams continuously refine segmentation and messaging strategies. It is especially popular among mid-market and growing ecommerce brands.
11. Nosto

Nosto is a plug-and-play AI personalization platform designed for ecommerce stores of all sizes. It delivers personalized product recommendations, targeted content, and triggered messages to enhance user experiences and drive sales.
The platform’s AI learns from visitor behavior to serve relevant suggestions across multiple touchpoints such as:
Product pages
Category pages
Cart experiences
Easy Integration for Measurable Growth
Its easy integration with popular ecommerce platforms makes setup fast and accessible. Additionally, the platform focuses on driving incremental revenue through the design of experiences and automation. It offers analytics to measure the impact of personalization and guide further optimizations.
12. Algolia

Algolia specializes in AI-powered search and discovery solutions tailored for e-commerce. It personalizes search results and navigation options based on individual user preferences and browsing behavior.
AI-Powered Search and Discovery
The platform enhances site usability by delivering fast, relevant, and contextual search experiences that keep users engaged. Its AI models continuously learn from user interactions, refining suggestions in real-time to improve conversion. Algolia is highly scalable and integrates easily with most ecommerce tech stacks.
Brands that use Algolia benefit from improved product discoverability and higher sales conversion rates.
13. Segment

Segment by Twilio is a central hub that gathers, analyzes, and manages customer data. Merchants can integrate it with hundreds of other tools from different categories, such as CRM, analytics, BI, advertising, helpdesk, email, and many more. Key features include data integration, customer profiles, and real-time analytics.
14. Blueconic

BlueConic focuses on collecting and segmenting real-time customer data to drive personalized marketing strategies. Key features include real-time data collection, customer profiles, and integrations.
15. Blueshift

What makes Blueshift stand out as a CDP is its utilization of the power of AI. By leveraging it, merchants can create even more personalized marketing experiences across all marketing channels (mobile, email, and web). Key features include AI-driven recommendations, customer journey mapping, and dynamic content personalization.
16. Oracle CX Unity

Oracle CX Unity provides a comprehensive CDP for unifying customer data and delivering personalized experiences across channels. Key features include real-time data integration, analytics, and personalization.
17. Treasure Data

Treasure Data provides a robust platform for collecting and analyzing customer data. By integrating various data sources, ecommerce businesses can deliver highly personalized experiences, ranging from targeted product recommendations to customized email campaigns.
Key Features
Data unification
Real-time analytics
Personalized marketing automation
18. Listrak

Listrak enhances personalization with customer data through automated email and SMS campaigns. Its platform enables merchants to create segmented audiences and send personalized messages at the right time to drive higher engagement and conversions.
Key Features
Behavioral triggers
Segmentation
Multi-channel marketing
19. Optimizely Data Platform (formerly Zaius)

This all-in-one CDP provides merchants with a deeper understanding of their customers’ buying journeys, based on behavior, preferences, and interactions across various touchpoints. Its advanced analytics and segmentation capabilities enable brands to design more effective, personalized marketing campaigns.
Key Features
Customer journey mapping
Segmentation
Predictive analytics
20. Netcore

The Netcore Cloud Suite offers solutions that help personalize the customer’s experience to enhance conversions, retention, and omnichannel communication.
Key Features
Customer journey mapping
Segmentation
AI-driven customer experience
Email and SMS Marketing
Personalization for Email and SMS
According to SmarterHQ, 74% of millennials feel irritated when they receive irrelevant emails from a brand. The key to reducing this frustration is by delivering messages that align with their interests and needs. This can be achieved through e-commerce personalization tools for email and SMS marketing.
21. Yotpo

Yotpo is a customer retention marketing platform. Merchants can manage email and SMS communications under one roof, eliminating the need to create them separately. This way, they can receive connected insights in order to enhance their communication strategy and shorten time to ROI.
Key Features
Customer reviews
SMS marketing
Dynamic product recommendations
SMS campaign
22. Omnisend

Omnisend specializes in automated email and SMS marketing, providing tools for creating personalized campaigns based on customer data. Its platform supports:
Advanced segmentation
Dynamic content
Omnichannel communication
Omnisend claims a 47.7% increase in conversions when SMS is combined with email. Key features include email automation, SMS marketing, and personalized workflows.
23. ActiveCampaign

ActiveCampaign uses AI to automate suggestions, personalization, and validation of campaigns. They provide over 250 email templates with advanced segmentation for highly converting emails. Key features include email automation, SMS campaigns, segmentation, and predictive sending.
24. Postscript

Postscript uses features like SMS marketing, SMS sales, and cashback to increase revenue through SMS messages. They also use AI that merchants can train to simulate their brand voice. Key features include SMS campaigns, cashback, and customer analytics.
25. Brevo

ActiveCampaign uses AI to automate suggestions, personalization and validation of campaigns. They provide over 250 email templates with advanced segmentation for highly converting emails. Key features include email automation, SMS campaigns, segmentation, and predictive sending.
26. Drip

Drip focuses on delivering personalized email and SMS marketing campaigns through its automation and segmentation capabilities. It enables ecommerce businesses to engage customers with relevant messages and increase conversion rates. Easily integrates with Shopify stores. Key features include email automation, SMS marketing, and behavioral segmentation.
27. Iterable

Iterable’s platform helps ecommerce businesses create personalized email and SMS marketing campaigns through advanced segmentation and behavioral insights. Build one-on-one relationships through individualized messaging using real-time data.
Key Features
Cross-channel marketing
Dynamic content
Segmentation
Iterable personalized SMS marketing
28. Mailchimp

Mailchimp offers merchants features like email automation, creating quick emails with AI, customer segmentation, and detailed analytics. Key features include automation, segmentation, and analytics.
29. Moengage

Moengage helps merchants build stronger relationships with their customers across multiple channels. Their features include SMS campaigns, email, push notifications, and in-app messaging. Key features include SMS campaign, in-app messaging, and email.
30. Attentive

Attentive is an AI-powered SMS and email platform that helps collect subscribers over social media and offers advanced audience segmentation, analytics, and A/B testing. Key features include SMS and email campaigns, segmentation, and A/B testing.
Storefront Personalization Ecommerce personalization isn’t just a perk; it’s a must. According to The Next in Personalization Report, 71% of consumers expect personalization. Consumers want brands to see them as individuals, not just another face in the crowd.
31. Shogun

Shogun allows merchants to effortlessly segment their customers by location, referral source, URL, returning status, specific data, time of day, day of the week, and Klaviyo data. Its seamless integration with Klaviyo CDP ensures tailored experiences for various customer segments.
Create tailored experiences by utilizing Shogun’s Visual Editor tool. Access advanced analytics to gather key performance data, including:
Add-to-carts
Sales
Sessions
Merchants use this data to test various variants within the same segments and determine which performs best.
Key Features
Page builder
Advanced targeting
Performance insights
A/B testing
Keyword research
32. Optimizely

Optimizely provides a wide range of tools for ecommerce personalization and optimization. This tool also features A/B testing. Key features include A/B testing, personalization, and optimization.
33. Monetate

Monetate provides personalization through the utilization of real-time data. This helps merchants better optimize their offers. Key features include personalization, real-time optimization, and A/B testing.
34. Kibo

Kibo’s Composal Platform features solutions for both B2C and B2B ecommerce. Kibo helps with product recommendation, personalization, and testing. Key features include recommendations, personalization, and A/B testing.
35. Adobe Target

Adobe Target helps merchants connect with their customers through:
Omnichannel personalization
Multivariate testing
Automation powered by AI
Key Features
Personalized search results
Analytics
AI recommendations
36. Coveo (formerly Qubit)

Coveo offers a product badging feature to help guide customers to product discovery. It also utilizes learning models for personalization and boosts AOV with product recommendations. Key features include product badging, personalization, and product recommendations.
37. Convert

Convert offers a range of tools that provide A/B testing, full-stack experimentation, Shopify testing, targeting, and more. Key features include A/B testing, personalization, and analytics.
Site Search Personalization
Ecommerce Personalized Search takes traditional search to the next level, transforming it into a highly tailored, user-focused experience. Instead of just matching keywords and ranking products by keyword relevance, personalized search considers various factors like:
User’s location
Browsing and purchase history
Seasonality and trends
38. Searchspring

Searchspring provides AI site search that displays the precise products that shoppers are looking for. They also help with scaling merchandise through targeted product optimization. Key features include AI site search, scalable merchandising, and ML-powered personalization.
39. Klevu

Klevu implements natural language processing technology to learn to display products that customers desire in any language. Through clickstream data, Klevu offers customers personalized search results. Key features include machine learning, natural language processing, and personalization.
40. Swiftype

Swiftype delivers an intuitive search experience that helps customers quickly move from search to checkout, streamlining the shopping process. Key features include machine learning, natural language processing, and personalization.
41. Addsearch

Addsearch offers seamless integration with many ecommerce platforms and minimal technical knowledge for implementation. Its ‘superior crawler’ adapts to any CMS and delivers a personalized search experience across all platforms. Key features include AI search, relevance tuning, and personalization.
42. Lucidworks

Lucidworks identifies queries to end zero-result searches. Machine learning models are integrated to personalize the customer experience. Key features include AI search, relevance tuning, and personalization.
43. Elastic

Elasticsearch uses generative AI to optimize running RAG workloads and is the most widely used vector database. It also provides exact data retrieval, next-gen semantic search and flexible deployment. Key features include personalized search, generative AI, and relevance tuning.
44. Findify

Findify’s features include a real-time personalized search, smart collections, and product recommendations driven by AI. Key features include AI-powered search, personalization, and recommendations.
45. Sparq

Sparq is a powerful tool that augments site search for Shopify by leveraging AI algorithms to boost product discovery and increase conversions. Key features include intelligent search, multiple filter criteria, and custom filters.
46. Yext

Yext helps merchants maximize their conversions by connecting customers with products relevant to their preferences. Their features include AI ranking, product suggestions, and AI merchandising. Key features include AI search, product recommendations, and AI merchandising.
47. Prefixbox

Prefixbox is an AI personalized search that increases conversions based on data-driven results. Some of their features include AI navigation to refine search intent, AI product recommendations to show more relevant products to customers, advanced analytics, and A/B testing.
Key Features
AI search
Product recommendations
A/B testing
Localization
Localizing helps merchants tailor their online stores to meet the specific needs of their customers. By implementing the right localization tools, customers can feel at home, regardless of location. These tools handle translations, currency conversions, and region-specific content, allowing merchants to scale effortlessly in their desired region.
48. Weglot

Weglot provides merchants with high-quality machine translation, multilingual SEO, workflow management and a fully localized customer journey. Key features include translation, multilingual SEO, and website localization.
49. Localize

Localize utilizes AI to help accurately translate websites, emails, help documents, and more. Its automated content detection software ensures constant translations that are always up to date. Key features include AI-content translation, multilingual support, and localization.
50. Smartling

Smartling helps manage multilingual content complexities to help merchants launch in their desired market faster. Smarling does:
Quick and accurate translations
Flexible workflows
AI-powered management software
Key Features
Translation management
Multilingual support
Localization
51. Phrase

Phrase features AI-led translation that is trainable. It can learn to incorporate brand terms and score content quality. Phrase also automates brands entire localization workflow and provides advanced insights for future success. Key features include translation management, integration, and localization.
52. Gengo

Gengo has a network of over 21,000 certified translators across different time zones, providing fast turnaround for website copy, branding materials, reviews, product descriptions, and more. Key features include human translation, quality control, and fast turnaround.
53. Crowdin

Crowdin is a localization management tool that offers AI translation, collaborates and assigns tasks to human translators, creates reports, and manages multilingual content in one centralized space. Key features include translation management, localization, and integrations.
54. Lokalise

Lokalise provides 8 times faster translation with its AI tool, helping developers localize websites by reducing time-consuming manual tasks. They offer seamless integration with development workflows on Git, GitLab, and Figma. They also have SDKs and OTA for translating apps.
Key Features
Translation management
Localization
Collaboration
55. Transifex

Transifex is a cloud-based localization platform designed to help ecommerce businesses translate and manage content across multiple languages with ease. It offers a robust set of tools that enable real-time collaboration, provide automatic translation suggestions, and integrate seamlessly with your existing workflows.
Key Features
Automatic translation suggestions
Real-time collaboration
Integration
56. Langify

Langify is a Shopify app that enables merchants to localize their stores by adding multiple languages without altering their original setup. This user-friendly tool supports SEO-friendly translations, ensuring that your localized content ranks well in search engines.
Key Features
Translation management
Multilingual support
Integration
57. OneSky

OneSky is a translation management platform that helps merchants localize their ecommerce websites and apps. It supports over 500 languages, making it ideal for merchants looking to expand into diverse markets.
Key Features
Translation management
Localization
Quality control
58. OptinMonster

OptinMonster is one of the most powerful eCommerce personalization tools because it can instantly boost your revenue. Its advanced targeting features are flexible enough for any eCommerce shop to create personalized marketing campaigns that compel visitors to make a purchase.
OptinMonster can be used on any website and offers a dedicated WordPress plugin and Shopify app, providing additional options. Using OptinMonster, you can create:
Personalized exit-intent popups to help you recover lost revenue from shopping cart abandonment.
Floating headers to promote your flash sales and deals, with countdown timers personalized to each visitor.
Irresistible coupon and other lead magnet offers based on visitor behavior so that you can convert hesitant shoppers into email subscribers for future email marketing.
59. Evergage (Now part of Salesforce)

Evergage has integrated its comprehensive site personalization tool into Salesforce’s suite of marketing solutions. It provides real-time personalization capabilities, leveraging deep behavioral analytics and machine learning to deliver highly relevant content and recommendations to users.
Key Features
Real-time web and email personalization
Advanced segmentation and targeting capabilities
Machine learning-driven insights and content recommendations
Seamless integration with Salesforce products
60. Personyze

Personyze customizes web content, pop-ups, banners, emails, and more based on real-time visitor behavior and data.
Key Features
Detailed visitor targeting and segmentation
Dynamic content personalization across websites and emails
Behavioral triggered actions for enhanced user engagement
Integration with CRM, email, and other marketing platforms
61. RichRelevance

RichRelevance is a platform that personalizes retail and ecommerce. It utilizes AI to provide recommendations and insights that enhance customer experiences.
Key Features
Deep learning technology for personalized product recommendations.
Dynamic content optimization for individual user experiences.
Omnichannel personalization, including web, mobile, email, and in-store.
Comprehensive analytics dashboard to track performance and user engagement
62. Qubit
Qubit is an online shopping tool that analyzes customer behavior and creates personalized experiences for many people.
Key Features
Behavioral segmentation for targeted personalization campaigns.
Personalized product recommendations and content A/B testing and analytics to measure impact.
Integration with ecommerce platforms for a seamless workflow.
63. HubSpot

HubSpot, known for marketing and CRM, also has website personalization tools in its Marketing Hub. This integration enables seamless, personalized marketing campaigns across email, web content, and more.
Key Features
Personalized email marketing and content management
Smart content and CTAs that adapt based on user interactions
Detailed analytics and reporting for optimization
CRM integration for a unified approach to personalization
Related Reading
• How to Improve eCommerce Customer Experience
• Ai Tools for Ecommerce
• B2B eCommerce Personalization
Tips for implementing eCommerce personalization

I have never not been charmed by a handwritten note in a package from a small online retailer. That's great business for a boutique operation, but if your personalization process requires individual attention for every package you ship, you may struggle when business starts to pick up.
The Challenge of Scaling Personalization
A good personalization tactic is scalable, it can grow with increasing sales without stretching your time, energy, or resources too thin. It should also maintain quality as you grow (example: longtime customers may resent that they used to get handwritten notes but now only get standard business cards).
If you need a little help, some apps help you scale almost everything—including handwritten notes.
Capture Data from New Users with Personalized Experiences
Think back to your first day at a new job or school. First impressions matter immensely, and the same holds for digital experiences. When diving into eCommerce personalization, gathering data from new users is a logical starting point.
Capitalizing on First-Party Data
As they navigate and interact with your site for the first time or provide information through opt-in forms and surveys, you gain invaluable insights about them. By capitalizing on this fresh data, you can immediately craft a tailored experience that resonates with newcomers, making them feel acknowledged and appreciated.
Keep Collecting Data from Returning Customers
Once you've set the stage for new users, it's equally important to understand and cater to the needs of returning customers. Loyal customers form the bedrock of your eCommerce enterprise; you can't become complacent with the data you've already gathered. Every visit from a returning user is an opportunity to deepen your understanding of their preferences and needs.
Behavior tracking
Unlike new users, where initial impressions dominate, with returning users, you can analyze patterns over multiple visits. This might involve tracking which products they repeatedly view or which content they frequently engage with.
Feedback mechanisms
Implement regular feedback forms or post-purchase surveys to gather customer feedback. They've interacted with your site enough to give detailed and valuable feedback.
Loyalty programs
Not only do these programs incentivize repeat business, but they can also be structured to gather data. For instance, offering points for product reviews or completing profile information.
Personalized email campaigns
Track which links they click on in personalized emails, giving insights into their evolving interests.
Wishlist and cart analysis
Understanding what returning users save for later can provide insights into potential future purchases. Every additional piece of information helps refine and enhance the personalization process. This continual refinement can lead to even more accurate product recommendations, perfectly timed promotions, and a more seamless shopping experience, boosting sales and loyalty further.
Use Data to Personalize the Shopping Experience
Adding a little extra flair to all of your materials helps your brand make a good impression on buyers. Still, a high-quality personalization strategy should include tactics that respond to the unique characteristics or needs of each customer. For example, I recently bought a cupcake from my local bakery for a friend's birthday.
A Masterclass in Personalized Service
In passing, I mentioned to the baker what I was buying the cupcake for, and he reached under the counter, pulled out a branded party hat and an individual candle, and taped them to the bakery box. I will never go to another bakery again because it was the sweetest thing. Does everyone need a candle and party hat to enjoy an everyday, non-birthday cupcake?
Understanding the "Why" Behind the Purchase
While you can (and I would) make a compelling case for that, this custom perk was catered to a common but specific purpose for the bakery's product. It shows awareness of the clientele and their needs. An intelligent personalization tactic is just as perceptive about who's shopping for your products and why they purchase them.
Here are a few examples of what that can look like for eCommerce:
Gift wrapping and custom message add-ons for commonly gifted items.
Offer upsell discounts so a gift purchaser can treat themselves, too.
Relevant bundling suggestions on items that are purchased for specific occasions.
Automation is the Key to Scaling Personalization
When it comes to eCommerce personalization, automation is more or less a requirement. It would be far too time-intensive to create customized experiences for each of your shoppers individually. That's not to say you can't also include the occasional handwritten note when you have the time.
Scaling Personalization Through Automation
Still, your core personalization strategy shouldn't rely on personally involving yourself in every sale. Instead of sending out individual review requests to every customer, for example, you can automate the process by having requests sent automatically one week after purchase confirmation to the customer's registered email address.
Beyond Personalization
Need more inspiration? Here are a few more things you can use automation to streamline in eCommerce:
Repetitive tasks
Marketing processes
Product delivery
Order fulfillment
Let Users Pick Up Where They Left Off
Imagine browsing through an online store, adding items to your cart, getting distracted, and then returning to find your cart empty. Frustrating, right? A savvy eCommerce site understands the value of continuity.
Cookies help with this, but features like "continue shopping" or "saved cart" not only enhance the user experience but can significantly boost conversions. It's like a helpful store assistant reminding you of the dress you liked the last time you visited.
Try Localizing Suggestions for Global Shoppers
The global reach of e-commerce brings unparalleled opportunities, but it also presents a unique challenge in addressing the diverse needs and expectations of its audience. Catering to different regions means more than just understanding their buying patterns; it means truly recognizing and respecting their cultural and environmental nuances.
Geography and Culture
For instance, while promoting summer wear in July is apt for the U.S., it would be counterintuitive for Australia. Similarly, the importance of aligning product offerings with regional holidays and festivals can't be overlooked.
But beyond these considerations, there's the paramount task of ensuring that these cultural nuances are presented both accurately and respectfully.
Respectful Localization
It's not about superficially plastering regional symbols but diving deep and, if needed, consulting with local experts or representatives to get it right. Empowering users to set their preferences can add a layer of personalization, allowing them to choose between local and international content.
In essence, by dynamically adjusting website content based on location data, eCommerce platforms can mirror the warmth and understanding of a local brick-and-mortar store, making users feel genuinely valued and understood.
Set Up Behavioral Triggers for In-Session Users
Engaging users who are actively browsing your site can be a game-changer. By setting up behavioral triggers, such as a gentle "Before you go" message or a limited-time offer, you tap into real-time decision-making. It's akin to a salesperson guiding you toward a deal just as you're contemplating a purchase.
Don't Forget to Retarget Recent Users
The digital footprint left by users interacting with your website is invaluable. Retargeting, a widely misunderstood strategy, harnesses this footprint for efficient engagement. By launching carefully crafted campaigns targeting users who recently visited your site, you can enhance recall and reengage potential customers.
Reinforcing Brand Presence in the Digital World
Ideally, interactions within the past one to two weeks should be prioritized, as the brand memory remains relatively fresh. This strategy serves as an online parallel to a customer seeing an advertisement for a product shortly after observing it in a physical store, thereby reinforcing brand presence and increasing the likelihood of purchase intent.
Related Reading
• Klaviyo Alternatives
• AI in Ecommerce Examples
• eCommerce Customer Journey
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