Campaign Monitor
Amazon Kinesis

Integrate Campaign Monitor with Amazon Kinesis

About Campaign Monitor

With its suite of powerful, easy-to-use tools for branded email campaigns, Campaign Monitor includes a library of professionally-designed email templates and tools to create and deploy custom-tailored drip email marketing campaigns and abandoned cart messages. The platform also features tools to obtain better customer feedback, product reviews, and more.

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 Campaign Monitor data to Amazon Redshift

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ETL all your Campaign Monitor data to Snowflake

Move your Campaign Monitor 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 Campaign Monitor With Amazon Kinesis Today

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Campaign Monitor's End Points

Campaign Monitor Email Templates

Campaign Monitor's library of professionally-designed email templates is one of the platform's most popular features. The platform includes approximately 50 templates, which might not be as many as competing solutions, but the quality of the templates tends to be more aesthetically pleasing and professional in appearance than those offered by Aweber, Mailchimp, and other platforms. The email templates are also responsive and adjust seamlessly to whatever size display you're viewing them on.

Campaign Monitor Data Import Compatibilities

Campaign Monitor offers compatibility to easily import information from all of the most common database formats such as XLS, XLSX, TXT, CSV, vCard, ZIP, RAR, and 7X. Simply copy-paste the file contents into Campaign Monitor, and Campaign Monitor separates the data into the appropriate fields, which you can remap or rename as appropriate.

Campaign Monitor Data Segmentation

Unlike most email marketing platforms, Campaign Monitor allows you to send emails to more than one marketing list or segment at once. The solution also lets you exclude specific lists or segments from certain email campaigns.

Campaign Monitor Subscriber Journeys

Campaign Monitor includes tools to send email 'subscriber journeys' or 'autoresponders' that start sending a series of timed emails as soon as someone joins your email list.

Campaign Monitor Email Marketing Automation

In addition to basic email autoresponder tools, Campaign Monitor allows you to program specific marketing triggers that automate the sending of different types of emails based on user actions. For example, you can program emails to go out based on the links a website visitor clicks, the products a customer purchases, or the webpages a user visits. Campaign Monitor includes an easy-to-use programming interface with yes-no conditions to plan the exact circumstances that trigger emails to send to subscribers.

Campaign Monitor Analytics and Statistics

Campaign Monitor offers high-level statistics on clickthroughs, unsubscribes, and email open rates. It also lets you zoom in on specific user information to determine whether individual subscribers opened or ignored emails, or clicked certain links. It even tells you where and when they did these actions. Lastly, with Campaign Monitor, it's easy to export analytics reports in PDF format to share with clients or team members.

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.

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