About MongoDB Atlas
MongoDB Atlas is a cloud database service for applications that works with Amazon AWS, Microsoft Azure, and Google Cloud Platform. The database service seeks to comply with the most stringent data security and privacy standards while offering a reliable suite of drivers, tools, and integrations. By automating numerous database management tasks, MongoDB Atlas helps developers build apps faster with less human error.
About Listrak
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.
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
MongoDB Atlas's End Points
MongoDB Atlas Automated Features
The automated security features included in MongoDB Atlas let you monitor who has access to your data while securing your information against unwanted intrusions. Also, due to the platform's automation of mundane operational tasks — like provisioning and configuration, patching and upgrades, monitoring and alerts, advanced security automation, and disaster recovery — you don't have to be a data science expert to set up and run your databases.
MongoDB Advanced Security Automation
MongoDB Atlas provides a variety of database security layers including advanced access control, IP whitelists, in-flight data encryption through TLS/SSL, optional encryption of your file system, and network isolation through Amazon VPCs and VPC Peering.
MongoDB Atlas Built-In Replication
MongoDB Atlas offers multiple servers to provide 'always-on' availability. Even if your primary master goes down, multiple backups ensure that your system is always up and running.
MongoDB Atlas Backups and Time-Machine Recovery
The advanced backup and recovery features for MongoDB Atlas guard against data corruption. Whether the threat is from hackers or a team member's innocent mistake, you can rest easy knowing that, after a catastrophic, event you'll have a backup copy to recover your system from a specific time in the past.
MongoDB Atlas Detailed Statistics and Monitoring
MongoDB Atlas provides detailed information and statistics about your database systems. By organizing this information in numerous ways, the platform helps you understand when important changes or upgrades to your system may be necessary. Moreover, if it's time to make changes, you can provision new server instances in a flash.
MongoDB Atlas Automated Patches and Upgrades
Whether it's a new technology upgrade to improve database efficiency or a security patch to protect against a new security threat, MongoDB Atlas automatically upgrades or lets you upgrade with a single click, so you can take advantage of features as soon as they're available. Upgrades happen in a matter of minutes without any downtime required.
MongoDB Atlas Customizable Database Tools
MongoDB Atlas includes a suite of tools that allow you to select your regions, billing options, and more — allowing you to customize server instances to your desired specifications.
MongoDB Atlas Scalability
MongoDB Atlas scales up and down — or scales out horizontally through automatic sharding — according to the needs of your company with zero application downtime. This allows you to grow beyond the limitations of one server without making your application too complex. Moreover, the platform's automatic balancing keeps information equally distributed across multiple replica sets as your data volumes grow, or as your cluster increases or decreases.
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.