Kubit
Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits.
Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in.
Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic.
With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users.
Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support.
Discover the future of customer analytics at kubit.ai
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Visual Visitor
AI Sales Rep - Your Next Salesperson Might Not Be A Person at All
Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour.
Lower Funnel, Higher Value Leads: Using our advanced WebID +Person identification technology, we uncover and identify the most engaged visitors to your site. These are the prospects we focus on, ensuring maximum impact for your sales efforts.
- Detailed Prospect Data: We gather 40 points of data about each prospect, including first name, last name, email address, and more.
- Engaged, But Anonymous: These prospects are conducting online research but haven’t met with your sales team yet.
- Crucial Sales Funnel Position: These visitors are deep in your sales funnel, spending time on your key ‘buying pages’ but remaining unknown to you. They are the ones most likely to convert into appointments.
- AI-Driven Engagement: Our AI Sales Rep identifies and gently engages with these visitors, influencing them to express interest. The process is fully automated, so your sales team only needs to engage with the interested leads—your low-hanging fruit.
Leverage the power of AI to turn your website visitors into meeting-ready leads effortlessly.
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Clixtell
Clixtell is a software-as-a-service company that provides advanced solutions for businesses and digital marketing agencies.
* Click Fraud Detection Software, Prevention & Protection Software
* Call Tracking & Analytics Software
* Website Video Recorder
Clixtell's innovative tools for online advertising in digital era have earned it a global reputation as a company that is constantly growing and improving. It strives to provide a safe and transparent advertising experience for all businesses.
Clixtell assists businesses in optimizing and protecting PPC campaigns, tracking calls, increasing sales & profit, and improving customer retention.
We offer custom-made solutions for both digital marketing agencies and small businesses around the world. Flexible and cost-effective plans that are flexible and affordable can be tailored to each customer's specific needs and expertise.
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Two Owls Facebook Pixel
Two Owls Facebook Pixel is an advertising tracking and attribution tool compatible with Shopify, Wix, and BigCommerce, created by Omega. By properly setting up Pixels and Conversion APIs, you can achieve superior data collection. It automatically tracks conversion events on both the browser and server sides, sending additional relevant information to link these events to Facebook profiles where possible. This functionality enhances the data Facebook utilizes, ultimately optimizing the delivery of your advertising campaigns. Moreover, it provides precise reporting, addressing the challenges many users face with Facebook Ads Manager following the changes introduced by IOS 14 and beyond, ensuring you have clearer insights into your ad performance. This tool is essential for businesses looking to improve their advertising strategies in an evolving digital landscape.
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