Integrate CleverTap with Mode
CleverTap allows users to analyze both business analytics and user engagement on one single platform. This gives CleverTap users insight into app user activity, allowing them to see where users have taken action, what information they find compelling, and where they drop off. This information can help businesses improve their long-term strategies, running clever campaigns, sending personalized push notifications, and creating both triggered and scheduled marketing campaigns.
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your CleverTap data to Amazon Redshift
Load your CleverTap data to Google BigQuery
ETL all your CleverTap data to Snowflake
Move your CleverTap data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Integrate CleverTap With Mode Today
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CleverTap's End Points
Gather data about cohorts, or groups of users who have taken certain actions in your app. Measure retention, engagement and a variety of business metrics for a cohort of users on a daily, weekly and monthly basis.
Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.
Gather segmentation data that is filtered based on an array of properties, such as past behavior and profile attributes. Then, use that filtered data to get deeper, more detailed analytics into your product performance or to reach users with personalized, contextualized messaging.
CleverTap People Analytics
Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.
CleverTap API Endpoints
Use CleverTap’s APIs for events, user profiles, dashboard counts and push notifications to filter your data and gather key insights.
Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, feed that data into your analytics to provide a more comprehensive view of your retention trends over time.
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.