Sold by: VOZIQ AI
Deployed on AWS
Try award-winning subscription AI technology to analyze your sample data and get subscriber-level predictions about attrition risk and lifetime value, survival analytics and geographical mapping of the subscribers using built-in third-party enrichments.
Overview
The VOZIQ AI Predictive Subscriber Churn Reduction Solution on AWS is designed to help subscription business leaders deploy VOZIQ AI award-winning AI/ML technology to predict and effectively prevent subscriber churn using subscriber-level predictive intelligence. Within a secure and scalable AWS environment, users can quickly integrate enterprise data feeds, and leverage VOZIQ AI Enterprise AI platform, equipped with ML models, which are pre-trained on 20 million subscribers, and third-party data enrichments such as geolocations. The intuitive platform guides you through data preparation and integration, making it easy to generate highly actionable subscriber-level predictions and their unique churn risk attributes that inform enterprise-wide decisions. The solution leverages proven best-customer modeling capabilities of VOZIQ AI technology and uncover untapped churn reduction opportunities using subscriber-level predictions for attrition risk, lifetime value, survival analytics and geolocational intelligence. VOZIQ AI offers the AI-powered predictive retention delivered as a service which includes ongoing AI model customization, continuous data integration, third-party data enrichment, and expert-managed infrastructure on AWS. Our dedicated team of solution consultants, data scientists, and AI engineers acts as an extension of your team and ensures continuous optimization, governance, and business value delivery tailored to unique growth challenges and priorities of your organization. To help you more easily plan and progress along your AI-driven predictive retention journey, VOZIQ AI has introduced a structured roadmap that systematically delivers accelerated value while building a robust AI foundation for future scaling needs. The roadmap has following stages:
- Proof of Value: This is a 30 to 60-day engagement with a focus on identifying top retention improvement opportunities using first-party and third-party data samples, and develop a business case and implementation plan.
- Quick Launch: Deploy the AI solution in either call center or marketing depending upon your priorities to actively identifying at-risk customers, predict lifetime value for every customer, micro-segment them based on risk and value, and deliver personalized offers to optimize profitability and maximize retention gains.
- Expand Use Cases: Deploy purpose-built ML models to optimize additional CLV levers such as acquisition, pricing, upgrades, referrals, winback.
- Scale Channels: Deploy unit-level intelligence across channels and customer touchpoints to maximize CLV in a consistent manner. Schedule a 1:1 strategy call to get a customized roadmap/pricing through private offer: info@voziq.ai
Highlights
- Deploy a proven subscription AI technology using your enterprise data
- Uncover untapped opportunities to reduce churn and drive growth
- Get subscriber-level intelligence such as predictive lifetime value, predictive churn risk and risk drivers, along with survival analytics, geo-maps. Trigger timely, personalized actions with micro-segmentation, offer matching, and prescriptive action guidance across channels and touch-points.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
You bring your own license (BYOL), so the software carries no charge on AWS Marketplace. What you see here are four hourly EC2 instance choices for running the solution. Each option maps to a different compute machine: m5.2xlarge, m7i.2xlarge, m6in.2xlarge, and m6i.2xlarge. They differ by processor generation and network capacity, not by features. You pick the instance size that matches your compute needs and pay by the hour for it. The software runs in your private cloud under your own governance and security controls.
Top-of-mind questions for buyers
Each option maps to one EC2 machine that hosts the AI software in your private cloud. The m5.2xlarge, m7i.2xlarge, m6in.2xlarge, and m6i.2xlarge differ by processor generation and network capacity. You pick one machine and pay for the compute hours it runs. The instance size sets your capacity, not the feature set.
Hourly charges apply while the chosen instance runs. A fully stopped instance stops accruing hourly compute charges. Since you bring your own license, the software itself carries no fee. Underlying AWS storage or other resources tied to a stopped instance may still incur their own charges.
Your hourly rate is tied to the instance type you select, not to subscriber count. Growth in data volume may require a machine with more compute or network capacity. Moving to a different instance is a manual choice you make, and the new hourly rate then applies.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Predictive Churn Reduction Solution for Subscription Businesses
Additional details
Usage instructions
Launch Your AWS EC2 Instance:
- Choose your desired AWS EC2 instance type from the recommended list of instance types.
- Please wait until the instance is completely up and running. This may take up to 3-5 minutes to complete.
Access the Web Interface:
- Once the instance is completely up and running (Which may take up to 3-5 minutes post launch of instance), Open your web browser and navigate to http://<your-public-ip>
- Use the registration wizard to create a user account and activate the product by entering the license key obtained from VOZIQ
- After registration, log in with the credentials to access the application dashboard
Connect to the Instance:
- Verify that your instance has passed both Status Checks in the EC2 console. It can take a few minutes for an instance to be ready to accept connection requests.
- Open your terminal (Mac/Linux) or SSH client such as PuTTY (Windows)
- The default username is "ubuntu" for this AMI. Ensure that the key pair matches the one selected during instance launch.
- Run the SSH command: ssh -i <your-key.pem> ubuntu@<your-instance-ip>
Troubleshooting Tips:
- Connection timed out when using SSH? Check that port 22 (SSH) is allowed in your instance Security Group Verify Public IP address from the EC2 console
- Unable to access the web interface? Confirm the instance is in a running state and passed both Status Checks Make sure port 80 (HTTP) is open in the Security Group Try clearing the browser cache or opening the link in a private/incognito window
- 502 Bad Gateway error? This typically means the application is still initializing Wait for up to 3-5 minutes after instance launch and then refresh the page
Resources
Support
Vendor support
We're here to help with any questions about your free trial! Reach out to us via email or request a callback, and we'll respond within 1 working day. Support email: support@voziq.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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