Klevu - Detailed Review
Analytics Tools
Klevu - Product Overview
Primary Function
Klevu’s primary function is to enhance the search and product discovery experience on ecommerce websites. It uses AI technology to provide fast, relevant, and personalized search results, helping shoppers find what they are looking for quickly and easily. This ultimately aims to increase conversions, revenue, and customer satisfaction.Target Audience
Klevu is used by a wide range of ecommerce businesses across various industries. The platform is most popular among companies with 10-50 employees and revenues between $1 million and $10 million. Key sectors include Retail (26%), Manufacturing (8%), and Apparel & Fashion (6%).Key Features
Search and Product Discovery
- Predictive Autocomplete: Provides dynamic search results as soon as shoppers start typing, ensuring the most relevant products are displayed.
- Faceted Navigation: Offers dynamic filters on search overlay, search results pages, and category pages to help shoppers refine their search.
Merchandising and Personalization
- Visual Merchandising: Allows for fine-tuning product results using strategic rules, product pinning, exclusion, and drag-and-drop interfaces.
- Personalization: Uses clickstream, segmentation, and collaborative filtering to personalize the experience for both new and anonymous web visitors.
Analytics and Optimization
- Analytics Tools: Helps ecommerce teams optimize major campaigns, uncover new tactics, reduce friction in the customer journey, and avoid missed revenue opportunities.
- A/B Testing: Enables merchandising teams to conduct A/B and multivariate testing to determine what works best for shoppers on category and collection pages.
Automation and Enrichment
- Automated Catalog Enrichment: Adds contextually relevant synonyms to the product catalog, increasing the depth and coverage of search results.
- Product Data Enrichment: Automatically and manually adds synonyms, normalizes measurements, and indexes enriched data in real-time.
Security and Infrastructure
- Cloud Infrastructure: Offers a scalable, fast, and secure environment with a 99.99% uptime guarantee, real-time status reporting, and global data centers for failovers and load balancing.
Additional Features
- Error Tolerance: Automatically handles spelling mistakes and identifies stop words and inflections to ensure accurate search results.
- Promotions and Banner Ads: Displays curated and personalized banner content in search, categories, and more, with the ability to schedule start and end dates for campaigns.
Klevu - User Interface and Experience
Klevu Merchant Center (KMC)
The Klevu Merchant Center (KMC) serves as the primary user interface for accessing and managing analytics. It offers a flexible and easy-to-use dashboard that provides merchants with a comprehensive view of their ecommerce platform’s performance. The KMC includes various analytical reports such as total search queries, total product clicks, top locations of searches, most frequently used keywords, and most frequently clicked products. These reports are presented in a clear and readable format, allowing merchants to quickly gain valuable insights into how customers are interacting with the on-site search.
Actionable Insights and Reporting
The dashboard within the KMC is engineered to deliver actionable insights on all aspects of sales, search results, and past performances. Merchants receive daily search reports via email, ensuring they stay updated on key metrics without needing to constantly log into the platform. This approach simplifies the process of monitoring and analyzing data, making it easier for merchants to make informed business decisions.
Analytics API
In addition to the KMC, Klevu offers a flexible and open Application Programming Interface (API) that allows developers to query the backend and access various analytical data. This API provides endpoints for category navigation reporting, search activities, and other critical data points. This feature ensures that merchants can integrate Klevu’s analytics seamlessly into their existing systems, providing total flexibility in data management.
Integration with Google Analytics
Klevu integrates seamlessly with Google Analytics, allowing merchants to combine Klevu’s analytical data with Google Analytics data. This integration does not require any changes in the store’s admin panel; merchants simply need to configure Google Analytics to register Klevu’s search component. This combined data provides a deeper insight into customer interactions with on-site search.
Ease of Use
The user interface is designed to be user-friendly, with an intuitive styling that saves time on platform adoption. The automated process of gathering data and providing actionable insights minimizes the need for extensive training or technical expertise. This makes it easier for merchants to adopt and use the platform efficiently.
Personalization and Automation
Klevu’s analytics tools also leverage AI and machine learning to automate various processes, such as product ranking based on user preferences and natural language processing to handle search queries accurately. These features ensure that the search results are personalized and relevant, enhancing the overall user experience without requiring manual intervention.
Enhanced Analytics
The Enhanced Analytics feature provides detailed, visual representations of the data collected during product discovery. Merchants can access these analytics through a dedicated banner on their search dashboard and filter reports by duration, location, and device type. This visual representation makes it easier to interpret and act on the data.
In summary, Klevu’s user interface is crafted to be intuitive, easy to use, and highly informative, providing merchants with the tools they need to make data-driven decisions and enhance the overall user experience on their ecommerce platforms.
Klevu - Key Features and Functionality
Klevu’s AI-Driven Product Category Features
Klevu’s AI-driven product category is rich with features that enhance the search, product discovery, and analytics capabilities of ecommerce platforms. Here are the main features and how they work:
Predictive Autocomplete
This feature dynamically updates search results as shoppers start typing, ensuring the most relevant products are displayed immediately. You can customize the search overlay using an easy-to-use interface or build a fully-custom experience via API. This helps reduce search time and increases the likelihood of finding the desired products quickly.
Product Data Enrichment
Klevu automatically and manually enriches product data by adding synonyms, normalizing measurements, and indexing this enriched data in real-time. This process can expand your product data by 2-3 times without manual effort, making searches more accurate and comprehensive.
Continuous Learning
Klevu’s AI is influenced by clicks, purchases, and product reviews to dynamically optimize search results. This continuous learning process ensures that the search engine adapts to user behavior, driving more revenue automatically by showing the most relevant products based on user interactions.
Collaborative Filtering
This feature matches clickstream and purchase behavior across the Klevu platform and industry-wide to recommend products that are trending among similar types of shoppers. It helps in personalizing the shopping experience by suggesting products that other users with similar preferences have liked or purchased.
Shopper Intent and Keyword Intent
Klevu’s intent parsing service deconstructs query inputs to identify the intent behind and the topic of the query. This allows the search engine to provide results that not only include products but also relevant content and pages, ensuring shoppers find what they are looking for efficiently.
Trend Analysis
Klevu’s machine learning identifies trending products automatically and boosts them in search results. This feature helps in keeping the search results fresh and relevant, reflecting current consumer trends and preferences.
Visual Merchandising
This feature allows you to fine-tune product results using strategic rules, product pinning and exclusion, and simple drag-and-drop interfaces. It enables you to curate the shopping experience by manually adjusting product positions on landing pages based on various criteria like inventory levels, out of stocks, margin, and more.
Faceted Navigation
Klevu provides dynamic filters on search overlays, search results pages, and category pages. These filters are easy to configure and help shoppers narrow down their search results, while also informing the Klevu AI of shopper preferences as they browse.
Analytics
Klevu offers comprehensive analytics to optimize major campaigns, uncover new tactics, reduce friction in the customer journey, and avoid missed opportunities for revenue growth. You can view click-through rates, conversion rates, and sales directly through Klevu’s integration with platforms like Klaviyo.
Personalization
Using clickstream, segmentation, and collaborative filtering, Klevu personalizes the shopping experience even for new and anonymous web visitors. This personalization extends to emails and SMS campaigns when integrated with platforms like Klaviyo, converting searches and clicks into purchases more effectively.
Natural Language Processing (NLP)
Klevu employs advanced NLP to help shoppers find what they want on the website. NLP techniques are used to better understand the intent behind search queries, ensuring that the search engine provides relevant results. This feature also supports multilingual search capabilities, allowing for localized content and product recommendations.
Multilingual Capabilities
Klevu’s search functionality supports multiple languages, using advanced NLP and localized machine learning to determine what shoppers want in almost any language. This feature helps in providing a personalized shopping experience across different regions and languages.
Abandoned Search and Browse Flows
Klevu can recall recent search terms and offer tailored product recommendations to shoppers who abandoned their search or browsing sessions. This is particularly useful when integrated with Klaviyo, where automated campaigns can be triggered to re-engage these shoppers.
Product Recommendations
Klevu’s recommendation engine optimizes product positions on landing pages based on data from your own shoppers. It includes features like trending products, related products, new products, highly rated products, cross-sells, best-selling products, and hand-picked products. These recommendations can be auto-populated in campaigns, flows, and emails to engage high-intent buyers effectively.
By integrating these features, Klevu enhances the ecommerce search and product discovery experience, driving more revenue and improving customer satisfaction through personalized and relevant results.
Klevu - Performance and Accuracy
Performance Enhancements
Klevu’s latest version, v4, brings significant performance improvements, particularly in data synchronization. For instance, it can sync a single product up to 1035 times faster and a batch of 1,000 products up to 388 times faster compared to version 3.x. This enhancement is crucial for real-time data updates, ensuring that the search results and product information are always current and accurate.
Real-Time Updates and Efficiency
The ability to perform frequent, smaller data syncs at intervals like every 15 or 30 minutes ensures that the data remains up-to-date, which is essential for maintaining the accuracy and relevance of search results and product recommendations.
AI-Powered Search Optimization
Klevu utilizes AI to analyze search queries and customer behavior, ensuring that the search results are highly relevant to the user’s intent. This AI-driven approach continually learns and improves over time, enhancing the accuracy and relevance of the search results. This optimization also helps in reducing bounce rates and increasing conversions.
Natural Language Processing (NLP)
Klevu’s NLP capabilities allow it to interpret complex and conversational queries accurately, recognizing synonyms, misspellings, and long-tail searches. This feature ensures that even vague or casually phrased queries yield accurate results, improving the overall search experience.
Smart Category Merchandising and Recommendations
Klevu’s Smart Category Merchandising and Smart Recommendations features use AI to dynamically rank products on category pages and provide personalized product recommendations based on shopper behavior. These features help in optimizing category pages to maximize conversion rates and improve user engagement.
Limitations and Areas for Improvement
While Klevu’s performance and accuracy are significantly enhanced, there are a few areas to consider:
JavaScript Execution Time and Page Load
Klevu’s JavaScript can impact page load times, particularly on more complex pages. However, by prioritizing Klevu scripts and integrating them as first-party scripts, the impact on Total Blocking Time (TBT) and Largest Contentful Paint (LCP) can be minimized.
Content Rendering
On pages where Klevu generates most of the content, the Largest Contentful Paint (LCP) can be affected because the content is rendered on the client side. This can be addressed by prioritizing Klevu’s JavaScript to run before other scripts.
Dependency on Server and Network Factors
The performance gains from Klevu can vary depending on factors such as server capacity, network bandwidth, and database size. Therefore, optimal performance may require adequate infrastructure support.
In summary, Klevu’s performance and accuracy are significantly enhanced by its AI-driven features, real-time data updates, and NLP capabilities. However, there are considerations related to page load times and content rendering that need to be managed to ensure optimal performance.
Klevu - Pricing and Plans
Pricing Structure
Klevu’s pricing structure for its AI-driven product category is tiered, with various plans that cater to different needs and scales of ecommerce businesses. Here’s a breakdown of the plans and their features:Pricing Tiers
Klevu offers several pricing tiers, each with increasing levels of features and support:AI-Powered Search Plans
- Premium: Starts at $499 per month. This plan includes AI-powered search, search filters, predictive autocomplete, search analytics, and other basic search features.
- Premium Plus: Starts at $799 per month. This tier adds more advanced features such as additional analytics and possibly more extensive support.
AI-Powered Search Category Navigation Plans
- Premium: Starts at $998 per month. This plan combines AI-powered search with category navigation features, including automated merchandising and visual merchandising.
- Premium Plus: Starts at $1,598 per month. This tier includes all the features from the previous plan plus additional advanced features like A/B testing and more comprehensive analytics.
Enterprise Plan
- For larger enterprises, Klevu offers a custom plan that requires contacting their sales team for a quote. This plan typically includes dedicated infrastructure options, an implementation manager, dedicated training sessions, quarterly business reviews, and a customer success manager.
Features Included
Across these plans, Klevu includes a range of features such as:- AI Product Data Enrichment
- Search Filters
- Predictive Autocomplete
- Search Analytics
- Visual Merchandising
- Automated Merchandising
- Landing Page Builder
- Faceted Navigation
- A/B Testing
- Advanced Analytics
- Templates & Customization
- Multi-Language Support
- Synonym Optimization
- Promotions
- Connectors for platforms like Trustpilot, Yotpo, and Klaviyo
Onboarding and Support
All plans come with onboarding support, including a step-by-step guide, 24/7 ticket support, technical guidance, community forum access, group training sessions, and implementation review.Free Trial
Klevu offers a 14-day free trial to experience their search features, allowing you to test the product before committing to a plan. In summary, Klevu’s pricing is structured to accommodate various business sizes and needs, with increasing levels of features and support as you move up the tiers. There are no completely free options beyond the trial period. Klevu - Integration and Compatibility
Klevu Overview
Klevu, an AI-driven search and discovery platform, offers seamless integrations with a variety of ecommerce platforms and technologies, ensuring broad compatibility and flexibility.Ecommerce Platform Integrations
Klevu integrates with several major ecommerce platforms, including:Magento
Klevu is compatible with Magento Open Source and Magento Commerce (both cloud and on-prem) versions 2.3 and 2.4. It provides a module for Magento 2 that includes self-learning search technology and other features like rich autocomplete and grid view layouts.Shopify
Klevu can be easily integrated with Shopify and Shopify Plus stores using the Klevu Shopify app or by building a custom integration using SDKs and APIs. It also supports Shopify Markets and headless storefronts.commercetools
Klevu integrates with commercetools, both on the frontend and backend, using APIs and SDKs. This integration involves setting up an API client, signing up for a Klevu account, and frontend integration.Bigcommerce
Klevu offers pre-built connectors for Bigcommerce, allowing for fast integration and quick time to value.Salesforce Commerce Cloud
Klevu can replace the native search and discovery functionality in Salesforce Commerce Cloud.Shopware
Integrations are available for Shopware, either using pre-built connectors or by building custom integrations using SDKs and APIs.Technology Stack Integrations
Klevu also integrates with various best-of-breed technologies to enhance its functionality:Klaviyo
Klevu connects with Klaviyo to link search activity with customer profiles, enabling email and SMS campaigns, and automated recommendations.Trustpilot and Yotpo
Integrations with these review platforms allow for displaying ratings on products and merchandising by rating using Klevu AI.APIs, SDKs, and Custom Integrations
Klevu provides full-coverage APIs and SDKs that are MACH-certified, allowing for traditional and headless implementations. These APIs cover various aspects such as search, indexing, image processing, autosuggest, faceting, personalization, analytics, and A/B testing. This flexibility enables merchants to build custom integrations with any ecommerce platform or custom-built technology stack.Support and Documentation
To ensure a smooth integration and optimization process, Klevu offers responsive, 24/7 support and comprehensive documentation. This support extends from setup to ongoing optimization, helping merchants focus on growth rather than troubleshooting.Conclusion
Overall, Klevu’s integration capabilities and compatibility across multiple platforms make it a versatile and powerful tool for enhancing search and product discovery in ecommerce environments. Klevu - Customer Support and Resources
Klevu Customer Support Overview
Klevu offers a comprehensive array of customer support options and additional resources to ensure their clients get the most out of their AI-driven ecommerce solutions.Support Services
Klevu provides 24/7 technical support, allowing you to submit tickets at any time for assistance. This ensures that any issues are addressed promptly, keeping your site running smoothly.Customer Success Managers
From the moment you sign up, Klevu assigns a team of expert Customer Success Managers to work with you operationally and strategically. They help with implementation, configuration, and quarterly reviews to offer best practices and advice on achieving your goals.Development Support
For developers, Klevu offers a community forum, a knowledge base, and extensive documentation. This includes code comments, full autocompletion support, and code examples in the repository, making it easier to integrate Klevu’s solutions into your ecommerce platform.Go-Live Audits
Klevu conducts audits of your website to identify areas for improvement in search, navigation, mobile optimization, product recommendations, and personalization. These audits provide valuable insights and suggestions to enhance your ecommerce performance.Implementation Support
Klevu supports various software architectures, whether you use traditional all-in-one applications or more modular API-driven solutions. This flexibility ensures that you can choose the best possible site search and product discovery options without being limited by your software architecture.Partners and Integrations
Klevu allows easy integration with other tools and platforms through their SDK, which features full autocompletion support and extensive documentation. This makes it simple to connect Klevu’s product discovery capabilities with any Javascript UI.Resources
In addition to direct support, Klevu provides resources such as a buyer’s guide, eBooks, and other educational materials. These resources help you understand how to optimize your ecommerce site using Klevu’s AI technology and provide insights into best practices for improving customer engagement and revenue.Conclusion
By offering these comprehensive support options and resources, Klevu ensures that their clients have all the tools and assistance needed to successfully implement and optimize their AI-driven ecommerce solutions. Klevu - Pros and Cons
Advantages
Advanced AI and Machine Learning
Klevu utilizes powerful AI and machine learning algorithms to learn from customer behavior, predicting and driving traffic, conversions, and loyalty. These algorithms customize search results based on clicks, purchases, and product reviews, optimizing revenue dynamically.
Real-Time Data Enrichment and Analytics
Klevu provides real-time product data enrichment, automatically adding synonyms, normalizing measurements, and indexing enriched data. This enhances the search experience and provides valuable insights into customer interactions.
Personalized Search and Recommendations
Klevu’s search engine uses natural language processing (NLP) to understand customer intent and personalize search results based on browsing history and purchase behavior. This ensures customers see relevant products, saving them time and increasing the likelihood of conversion.
User-Friendly Interface and Integration
Klevu offers an easy-to-use interface, simple integration, and flexible APIs that allow merchants to access and manage critical business data without technical hurdles. The Klevu Merchant Center (KMC) and Analytics API provide comprehensive reporting and analytics capabilities.
Multilingual and Geographical Capabilities
Klevu supports multilingual searches and has advanced GeoIP capabilities, allowing merchants to track search volumes by geographical location. This is particularly useful for targeted campaigns and understanding regional customer behavior.
Promotions and Visual Merchandising
Klevu enables merchants to display curated and personalized banner content, schedule promotions, and fine-tune product results using strategic rules and drag-and-drop interfaces. This helps in optimizing campaign planning and enhancing the overall shopping experience.
Integration with Google Analytics
Klevu seamlessly integrates with Google Analytics, providing a more comprehensive view of customer interactions and allowing merchants to make data-driven decisions.
Disadvantages
Cost
While Klevu is presented as a cost-effective solution, the actual cost of implementing and maintaining such advanced AI-driven analytics tools can be significant for smaller or budget-constrained businesses. However, specific pricing details are not provided in the available sources.
Dependence on Data Quality
The effectiveness of Klevu’s AI and machine learning algorithms depends heavily on the quality and quantity of the data available. Poor data quality can lead to suboptimal search results and recommendations.
Learning Curve for Advanced Features
While the interface is user-friendly, some of the advanced features such as A/B testing, multivariate testing, and customizing algorithms may require a learning curve for merchants who are not familiar with these tools.
Potential Over-reliance on Automation
Relying heavily on automated merchandising and search optimization might lead to a lack of human oversight, potentially missing out on unique market insights or customer preferences that AI might not capture fully.
Overall, Klevu’s analytics tools offer a range of powerful features that can significantly enhance the ecommerce search experience and drive revenue. However, it is important for businesses to consider the potential costs, data quality requirements, and the need for some technical expertise to fully leverage these tools.
Klevu - Comparison with Competitors
Unique Features of Klevu
Semantic Query Processing
Klevu stands out with its ability to process and understand the context of the shopper’s search, improving the quality of the search results. This feature ensures that the search results are highly relevant to the shopper’s intent.
Product Data Enrichment
Klevu automatically and manually adds synonyms, normalizes measurements, and indexes enriched data in real-time, expanding product data by 2-3 times without manual work. This enhances the search experience and product discoverability.
Faceted Navigation and Visual Merchandising
Klevu offers dynamic filters and easy-to-apply strategic rules for product pinning and exclusion. This helps shoppers navigate results more effectively and allows for fine-tuning of product results using simple drag-and-drop interfaces.
Multilingual Capabilities
Klevu supports advanced natural language processing for multilingual search functionality, providing localized content and enhancing the shopping experience for international customers.
Predictive Autocomplete
Klevu’s predictive autocomplete feature dynamically changes results as shoppers type, ensuring the most relevant products are shown. This can be customized using an easy-to-use interface or via API.
Potential Alternatives
Algolia
Algolia is a competitor that also offers search and product discovery solutions. However, Klevu differentiates itself through its advanced AI technology, which can lead to higher conversion rates (up to 8% site-wide and 16% search conversion rates). Algolia’s product recommendations, while effective, may not match the personalized and dynamic recommendations offered by Klevu’s AI.
Google Analytics
Google Analytics, while not specifically focused on ecommerce search, is a powerful tool for web analytics. It uses machine learning to identify patterns and trends in data and predict future user actions. However, it lacks the specialized ecommerce search features that Klevu provides, such as semantic query processing and product data enrichment.
Tableau
Tableau is a data visualization and analytics platform that offers AI-powered recommendations and predictive modeling. While it is excellent for transforming raw data into actionable insights, it does not specialize in ecommerce search and product discovery like Klevu does. Tableau’s strengths lie in its ability to handle broad data analytics tasks rather than the specific needs of ecommerce search.
Salesforce Einstein Analytics
Salesforce Einstein Analytics is an AI-powered analytics platform that helps businesses analyze customer data and predict sales outcomes. It is more focused on CRM and sales forecasting rather than ecommerce search and product discovery. While it provides valuable insights into customer behavior, it does not offer the same level of search functionality as Klevu.
Conclusion
Klevu’s unique features, such as its semantic query processing, product data enrichment, and predictive autocomplete, make it a strong choice for ecommerce businesses looking to enhance their search and product discovery capabilities. While alternatives like Algolia, Google Analytics, Tableau, and Salesforce Einstein Analytics offer valuable analytics and search functionalities, they do not match the specialized ecommerce focus and AI-driven capabilities of Klevu.
Klevu - Frequently Asked Questions
Frequently Asked Questions about Klevu
1. How does Klevu’s AI search function work?
Klevu’s AI search learns from local shoppers to display products that are most likely to convert, especially in each specific region. It uses machine learning and deep neural networks to optimize search results based on user interactions, such as clicks, purchases, and product reviews.2. What features does Klevu offer for product recommendations?
Klevu provides built-in product recommendations that suggest products to customers based on their search behavior and preferences. These recommendations are influenced by the AI’s analysis of user interactions, ensuring that the suggested products are relevant and likely to convert.3. How does Klevu’s visual merchandising work?
Klevu’s visual merchandising allows you to fine-tune product results using strategic rules, product pinning and exclusion, and a simple drag-and-drop interface. This feature helps in ordering products on category pages based on their self-learning scores calculated by the AI.4. What analytics capabilities does Klevu provide?
Klevu offers comprehensive analytics through its Merchant Center (KMC), which includes reports on total search queries, total product clicks, top locations of searches, most frequently used keywords, and most frequently clicked products. It also integrates seamlessly with Google Analytics to provide deeper insights into customer interactions with on-site search.5. Can Klevu handle multilingual support and geo-location tracking?
Yes, Klevu supports multilingual capabilities, allowing it to cater to a global audience. Additionally, its GeoIP feature tracks the geographical location of user queries, which is useful for targeted campaigns and analyzing search volumes by location.6. How does Klevu’s predictive autocomplete feature work?
Klevu’s predictive autocomplete dynamically changes search results as shoppers start typing, ensuring the most relevant products are displayed. This feature can be customized using an easy-to-use interface or via API to build a fully-custom experience.7. What is included in Klevu’s product data enrichment?
Klevu’s product data enrichment automatically and manually adds synonyms, normalizes measurements, and indexes enriched data in real-time. This can expand your product data by 2-3 times without manual work, enhancing the search and recommendation capabilities.8. How does Klevu integrate with other analytics tools?
Klevu integrates seamlessly with Google Analytics, allowing merchants to combine Klevu’s analytical data with Google Analytics data. This integration does not require changes in the store’s admin panel and helps in deeper analysis of customer interactions.9. What kind of reporting does Klevu’s Analytics API provide?
Klevu’s Analytics API provides flexible endpoints for reporting search activities, category navigation, and other key metrics such as searched terms, clicked records, and checked-out products. This API allows developers to query the back-end and push or pull various analytical data without using Klevu’s native user interface.10. How is Klevu priced, and what factors influence the cost?
Klevu’s pricing is tiered and depends on factors such as the size of your product catalog, the number of queries per month, and additional features like language support or analytics. The prices range from around $499 per month for smaller retailers to thousands for larger businesses. You need to contact Klevu directly to get a specific quote.