Integrate HubSpot with Amazon Kinesis
Hubspot’s services are centered around sales and marketing tools that help a company refocus their marketing efforts into inbound marketing. With Hubspot, a company can create content that attracts leads that are already interested in that company’s products and services. Then, users can take advantage of Hubspot’s marketing tools to collect contact information and customize visitors’ experiences so that they are more likely to make the conversion from interested leads into happy customers.
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 HubSpot data to Amazon Redshift
Load your HubSpot data to Google BigQuery
ETL all your HubSpot data to Snowflake
Move your HubSpot 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 HubSpot With Amazon Kinesis Today
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HubSpot's End Points
See information on your various email campaigns and judge their large-scale success based on the status of the emails in that campaign i.e.how many emails were sent, delivered, opened, etc.
Retrieve basic contact information like name, e-mail, unique ID, etc. This allows you to track those contacts in a number of other fields, which will help you score leads and gauge how effectively your customer interactions are translating into sales.
HubSpot Contact list
Group your contacts together automatically based on a set of criteria - such as their lifecycle stage - or add them to a list manually. Then, use those lists to design targeted customer interactions, such as email campaigns.
Track the status of various email subscriptions through a range of data, including who is subscribing, when emails are being sent and how the recipient is responding to the emails i.e.remaining subscribed, unsubscribing, reporting the email as spam, etc.
HubSpot Email Events
Observe the activity on an individual email event. You can track the recipients and campaigns that those events are linked to and then see how the recipients interacted with the event i.e. if they opened the email, printed it, marked it as spam, forwarded it, etc.
Create a company entity in Hubspot by providing details, such as name, ID, and relevant description. You can access that company record to maintain and retrieve related data (such as associated contacts) which can then be tracked, analyzed, and/or integrated with other data sources.
Track the progress of a deal in your HubSpot pipeline, allowing you to see which contacts and companies are associated with the deal, what pipeline the deal belongs to, and its current stage in the pipeline.
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.