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What is Verto Analytics?

We oversee a group of voluntary participants in the United States who engage in passive metering across various compatible devices, including smartphones, tablets, laptops, and desktop computers. The Verto panel functions continuously, compiling a wealth of information on user activities across multiple platforms, such as internet browsing habits, application usage, downloading and installing behavior, viewing and listening times, search inquiries, travel patterns, and detailed ecommerce transactions across a plethora of websites and applications. This exclusive database is owned by Verto and provides a level of insight into consumer behavior that no other company in the field of behavioral analytics can achieve when tracking activities across different devices. This distinct advantage enables us to effortlessly gather a diverse range of behavioral data, which we further refine through comprehensive analysis and customized surveys, ultimately delivering invaluable insights to our clients. Our dedication to comprehending consumer behavior is unmatched in the market, ensuring that we remain at the forefront of industry developments. Additionally, our innovative approach allows us to adapt swiftly to changing trends and consumer needs.

What is Kubit?

Warehouse-Native Customer Journey Analytics—No Black Boxes. Total Transparency. Kubit is the leading customer journey analytics platform, purpose-built for product, data, and marketing teams that need self-service insights, real-time data visibility, and complete control—without engineering bottlenecks or vendor lock-in. Unlike legacy analytics solutions, Kubit is natively integrated with your cloud data warehouse (Snowflake, BigQuery, Databricks), so you can analyze customer behavior and user journeys directly at the source. No data exports. No hidden models. No black-box limitations. With out-of-the-box capabilities for funnel analysis, retention metrics, user pathing, and cohort analysis, Kubit delivers actionable insights across the full customer lifecycle. Layer in real-time anomaly detection and exploratory analytics to move faster, optimize performance, and drive user engagement. Leading brands like Paramount, TelevisaUnivision, and Miro rely on Kubit for its flexibility, enterprise-grade governance, and best-in-class customer support. See why Kubit is redefining customer journey analytics at kubit.ai

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Media

Integrations Supported

Integrations Supported

Adjust
Adobe Analytics
Airship
Amazon Redshift
AppsFlyer
Branch
Braze
Databricks
Google Cloud BigQuery
Jupyter Notebook
Leanplum
Microsoft Azure
Optimizely One
RudderStack
Segment
Slack
Snowflake
Snowplow Analytics
Unity
mParticle

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Kubit offers transparent, scalable pricing based on Monthly Tracked Users (MTUs), making it easy to align costs with your actual usage. All plans include unlimited events and seats—so you never have to worry about overage fees or hidden charges. With a no-code setup and native integration with your cloud data warehouse, Kubit minimizes engineering lift while accelerating time-to-insight.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
iPhone
iPad

Supported Platforms

SaaS
Windows
Mac
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Verto Analytics

Date Founded

2013

Company Location

Finland

Company Website

www.vertoanalytics.com

Company Facts

Organization Name

Kubit

Company Location

United States

Company Website

www.kubit.ai/

Categories and Features

Mobile App Analytics

Not specified

Web Analytics

Campaign Management
Conversion Tracking
Goal Tracking
Keyword Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Site Search Tracking
Time on Site Tracking
User Interaction Tracking

Categories and Features

Customer Journey Mapping Tools

Attribution Modeling
Behavioral Analytics
Data Import / Export
Predictive Analytics

Data Modeling

Not specified

Digital Analytics

Not specified

Marketing Analytics

Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
Website Analytics

Mobile App Analytics

Channel Attribution
Cohort Analysis
Funnel Analysis
In-App Events Tracking
Retention Tracking
Revenue Tracking

Product Analytics

Attribution
Churn Reporting
Customer Journey Analytics
Data Export
Data History Retention
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

User Research

Not specified

Web Analytics

Conversion Tracking
Goal Tracking
Multiple Site Management
Pageview Tracking
Referral Source Tracking
Time on Site Tracking
User Interaction Tracking

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