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How to get the Count lifetime deal

If you would like to buy a lifetime deal on Count, make a request here. When the deal is live, you will receive an email from us notifying you about it.

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What is Count?

Count is a collaborative data platform designed to help teams streamline their data analysis, modeling, and reporting processes.

It combines the power of a SQL IDE, a data notebook, and a collaborative whiteboard into one canvas, enabling teams to explore data, build models, and generate reports more efficiently.

With integrations to major databases and tools like dbt, Tableau, and Looker, Count allows teams to collaborate in real-time and work seamlessly across their data stacks.

Count is widely used by data teams for tasks such as data exploration, storytelling with data, and creating metric trees to drive business decisions faster.

Count

Count Plans and Pricing

Count’s pricing is designed to accommodate startups, small teams, and large enterprises. They offer three plans: Starter, Explore, and Scale. To explore their monthly and annual pricing, click on the button below.

Count Use Cases

Count empowers data teams to seamlessly collaborate on data analysis, modeling, and reporting within a single platform, transforming complex data workflows into real-time, actionable insights. Ideal for businesses seeking to break down silos, Count integrates with major databases and tools like dbt, allowing teams to explore data, build metrics, and create reports collaboratively across their data stack.

Data Exploration: Teams can use Count to explore data from multiple sources in real-time. With SQL, Python, and low-code tools, analysts can dive into datasets, uncover insights, and visualize results collaboratively.

Storytelling and Reporting: Count allows users to turn raw data into stories by creating interactive reports and dashboards. These reports can be shared across teams, enabling stakeholders to discuss insights directly within the platform.

Data Modeling: Data engineers and analysts can collaborate to build and debug data models using Count’s canvas. The platform integrates with dbt to streamline workflows, making it easy to create and deploy models while keeping everyone in the loop.

Metric Trees and Flowcharts: Count’s unique canvas lets teams create visual representations of metrics, funnels, and flowcharts, helping them understand business performance in a clear, intuitive way.

Real-Time Collaboration: Count enables real-time collaboration across data teams and business units. Teams can work together on the same canvas, sharing ideas, commenting, and iterating quickly to solve complex data problems.

Who is Count ideal for?

Data Teams and Analysts: Count is perfect for data teams and analysts looking for a collaborative space to explore data, build models, and create reports. It allows teams to use SQL, Python, and low-code tools within one canvas, streamlining the entire workflow from data exploration to reporting.

Marketing and Product Teams: For marketing and product teams that need to analyze user behavior, performance metrics, or campaign effectiveness, Count provides a flexible platform to visualize data and generate actionable insights in real-time, enabling faster decision-making.

Businesses with Complex Data Stacks: Count is ideal for businesses that require seamless integration across multiple data sources, including databases and platforms like dbt, Tableau, and Looker. It breaks down data silos and enables real-time collaboration, making it easier to extract insights from complex data environments.

Startups and Small Teams: Startups with lean teams can benefit from Count’s easy-to-use canvas for prototyping data models, building metric trees, and exploring business problems. Its collaborative nature allows teams to iterate faster without needing specialized data engineering resources.

Enterprises Seeking Cross-Functional Collaboration: Count is also a great tool for enterprises where data analysts, engineers, and business stakeholders need to work together. Its collaborative canvas and real-time features make it ideal for large teams looking to enhance cross-functional communication and decision-making.

Count Key Features

Collaborative Canvas
SQL and Python Integration
Data Exploration Tools
Real-Time Collaboration
Dbt Integration
Metric Trees and Flowcharts
Customizable Visualizations
Cross-Platform Database Connectivity
Version Control for Data Models
Report and Dashboard Sharing

Looker: A powerful data exploration tool with rich visualization features, Looker helps teams analyze data and build interactive dashboards, making it a robust competitor to Count.

Tableau: Known for its advanced visualization capabilities, Tableau allows users to turn raw data into powerful, interactive visuals, suitable for teams focused on data storytelling.

Mode Analytics: A popular platform for collaborative analytics, Mode offers SQL, Python, and R integration, enabling teams to perform exploratory analysis and share data insights seamlessly.

Metabase: An open-source alternative, Metabase provides easy-to-use interfaces for data queries, visualization, and sharing without needing deep technical expertise.

Hex: Hex offers a collaborative environment where data teams can explore, analyze, and share insights, focusing on real-time collaboration and integration with multiple data sources.

These tools provide various strengths in data analysis, reporting, and collaboration, making them excellent alternatives depending on your specific needs.

Count alternatives and competitors

If you’re unable to wait for a Count lifetime deal or are looking for other data analysis tools, there are several strong alternatives available. Explore options like Looker, Tableau, and Mode Analytics to enhance your team’s collaboration, data visualization, and reporting processes.

Why we can get Count

At Prime, we shamelessly request successful SaaS companies to offer an LTD on our platform no matter how big they already are. Somehow this works for us. Our past record gives us hope that we can get the Count lifetime deal, if we get enough requests on this page. Let us bring this gem for you.