Integrate Listrak with Amazon Kinesis
With over a decade of experience, Listrak is a cloud-based digital marketing platform that focuses on providing leading retailers with specialized marketing tools to boost one-on-one customer interactions, improve business revenue, maximize customer engagement, and increase growth. By combining the power of advanced artificial intelligence, machine learning, predictive analytics, and real human intelligence, Listrak automates marketing tasks, offers powerful CRM solutions, and analyzes data from multiple platforms to drive your retail, operations, and marketing goals — all while building better relationships with your customers across all devices and channels.
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 Listrak data to Amazon Redshift
Load your Listrak data to Google BigQuery
ETL all your Listrak data to Snowflake
Move your Listrak 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 Listrak With Amazon Kinesis Today
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Listrak's End Points
Listrak Cross-Channel Orchestration
Listrak Cross-Channel Orchestration tools empower you to build seamless customer experiences. The platform's intuitive tools facilitate the creation of multi-stage, personalized marketing journeys that engage customers based on real-time behaviors. Listrak also gives you the ability to connect with guests one-on-one, in real-time with intelligently-triggered communication across multiple channels like SMS, email, and social media. Plus, the platform's drag-and-drop interface helps users create beautiful, responsive emails for marketing campaigns.
Listrak Customer Insights
Listrak's Customer Insights tools unlock the secrets buried in your customer data with powerful analytics and visualization features that include more than 70 pre-built visualizations for building dashboards to your specifications. Customer Insights provide a bird's eye view of each Customer Journey and seamlessly integrate with the Listrak platform to turn insights into marketing campaigns with a single click. This fuels more engaging and effective customer interactions, and informs your segmentation and automation efforts.
Listrak Behavioral-Based Triggers
Listrak monitors customer behaviors to trigger individually-tailored interactions. By tracking browsing behavior, engagement statistics, purchase information, and lifecycle incidents for customers, Listrak knows where each customer is at in their 'journey.' This allows the platform to respond to a customer's intent with specialized communications — like abandonment messages to re-engage active shoppers.
Listrak Predictive Personalization
Listrak's predictive personalization tools use machine learning, artificial intelligence, and data modeling to boost the success of marketing campaigns. By analyzing past behavioral data, these predictive analytics tools can predict the likelihood of future behavior based on different variables.
Listrak Unified 360-Degree Customer Profile
Listrak pulls data from various sources, synthesizes it, and analyzes it as a whole to identify key customer signals, and incorporate them into a 360-degree customer profile for the most accurate and actionable customer data possible.
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.