Close.io is a CRM with built-in communication tools that can track and assess the communication between team members and leads. Close.io gauges team member performance by using a number of metrics, including how many calls they are making, how long those calls last and the value of those calls. It can also track the lead’s side of an interaction by logging actions taken by email recipients - both holistically and individually - like exactly who opened an email and when.
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.
Bring all your Close.io data to Amazon Redshift
Load your Close.io data to Google BigQuery
ETL all your Close.io data to Snowflake
Move your Close.io 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
Request information about a contact that works for one of your leads, including the contact’s name, title, phone number, ID or email address. This data allows you to more closely track communications, both with individual contacts and with groups of contacts within a company.
Track all actions that are related to a lead, including emails, phone calls, notes and status changes. Then, retrieve data about those activities, such as the content of a note, the length of a call or the date and time that a status was changed. This information will give you a more detailed view of your team’s interactions with that lead.
Retrieve details surrounding a deal or potential deal, such as who the deal is with, the value of the deal, and its status (i.e. whether it is won, lost, or active). You can then more accurately project your business’ revenue and gauge the performance of team members involved with those opportunities.
Get data about a subset of agents within your company, including the status of their deals, which team members belong to that organization and what their contact information is. Then, use this data to generate more detailed analytics on various segments of your team.
Create custom Close.io fields that track data in ways that are more useful to your company. For example, create a custom list of categories to sort your leads by and use those fields to perform lead searches that are more relevant to the specific interests of your company.
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.
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.
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 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.