Integrate Close.io with Amazon Kinesis
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.
About Amazon Kinesis
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don’t allow real-time precision in decision-making because they can’t rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
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 Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Integrate Close.io With Amazon Kinesis Today
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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.
Amazon Kinesis's End Points
Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.