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.
Delighted is a service that employs single question surveys to provide businesses with real-time customer feedback. Each survey question can have a rating scale for customers to select from as well as a section where customers have the option to leave a free-form comment. This provides both a numerical score - that can be collected to create a Net Promoter Score (NPS) - and useful customer feedback that Delighted can filter and search to retrieve the most useful responses for a given purpose.
Popular Use Cases
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 Delighted data to Amazon Redshift
Load your Delighted data to Google BigQuery
ETL all your Delighted data to Snowflake
Move your Delighted data to MySQL
Close.io's End Points
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.
Close.io Custom Fields
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.
Delighted's End Points
Create a survey recipient, including their customer ID, email address and phone number. Then, you can customize your survey delays based on your customers’ needs and preferences, specifying how you want the surveys sent - via SMS or email - and how frequently you want them sent.
Delighted Survey Responses
Retrieve data from customer responses, including the score they selected, any comments they left in response to the survey and the person ID for the customer (which allows you to continue to track their responses). Additionally, use this data to create and update your Net Promoter Score, which can help provide customer analytics both within Delighted and in other data sources via integration.
View important metrics for your account like your NPS and the percentage of your respondents that identified as promoters, passives, or detractors. This provides a broader view of your survey performance that can help you determine your overall business performance.
When someone unsubscribes, you can maintain their previous survey response data and view their old emails. When integrated with other user data, this information can provide key business insights. It can also be used to run an array of business analyses, including predictive analytics.