Pendo is a cloud-based software-as-a-service (SaaS) platform that integrates your application and webpage usage analytics with feedback, guidance, and communication from end-users. The solution empowers you to understand the way customers are using your product, how they feel about it, and what their experiences are like without overburdening your engineering team. Pendo provides your development team with the insights they need to dramatically improve applications, websites, and user experiences. The platform also keeps your customers informed about product enhancements and key developments as you release them.
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 Pendo data to Amazon Redshift
Load your Pendo data to Google BigQuery
ETL all your Pendo data to Snowflake
Move your Pendo 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
Pendo's End Points
Pendo User Metrics
Pendo includes tools to track metrics on total web traffic, user engagement, session length, per session page views, scrolling behavior, bounce and rates, conversion figures, standard user actions, actions that lead to conversion, and more. Pendo also monitors where your traffic is coming from, how people enter your site, and at which point they leave. Then it presents the data in elegant, easy-to-understand visual reports.
Pendo User Sentiment Surveys
Pendo allows you to deploy NPS and polls directly to users in-application to produce better and more accurate results. You can target specific users based on product interactions or user characteristics to obtain the specific feedback you require. Pendo's user sentiment surveys empower you to combine survey responses with user behavior data to gain a more three-dimensional understanding of your customers. By merging quantitative and qualitative survey data, you'll gain a clearer picture of what pleases and displeases users to reveal actionable opportunities to adjust your products for improved customer conversion, increased retention, and more profitable business results.
Pendo offers built-in ETL (extract, transform, load) connections to integrate with a wide variety of platforms such as Slack, Segment, Fivetran, Fullstory, LaunchDarkley, Google BigQuery, DOMO, Drift, Looker, Amazon Redshift, Salesforce, UserVoice, WordPress, Zapier, Zendesk, and more.
Pendo Product Improvement Roadmapping
Pendo includes tools to coordinate your team around a central planning roadmap informed by the metrics and insights the platform generates. Roadmapping features include the ability to visualize your product development strategy and organize your plans around product enhancements, timeline, team, and market segment. You can also manage which teams can access different views of the plan, and streamline views for stakeholders so they're overload with information. Pendo's drag-and-drop functionality empowers non-tech-savvy users to create and manage roadmaps.
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.