AskNicely is a survey tool that allows users to collect and act on real-time customer feedback using the net promoter score (NPS) framework. This helps them accurately understand their performance and increase their customer retention, reviews, and referrals.
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 AskNicely data to Amazon Redshift
Load your AskNicely data to Google BigQuery
ETL all your AskNicely data to Snowflake
Move your AskNicely 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
AskNicely's End Points
Use simple one-touch surveys to generate valuable customer feedback. Then, use this information to create and track your Net Promoter Score (NPS) based on product, channel, rep, etc. This can help provide customer analytics both within AskNicely and in other data sources.
Utilize the survey information both to better interact with your customers and to empower your team. With the survey results, your whole company can gain an accurate understanding of customer experience and your team can take immediate action to drive retention, upgrades, reviews and referrals.
Use your NPS to track your performance over time and see the impact that your marketing and sales campaigns are actually having on customer intent.
Increase the number of customer responses with AskNicely’s automations and optimizations. Then, integrate this customer feedback with other relevant data sources to get a comprehensive overview of your customers and improve your long-term business strategies.
View important metrics for your account like your NPS and the percentage of your respondents that had positive or negative survey responses. This provides a broader view of your survey performance that can help you determine your overall business performance.
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.