Sold by: ElectrifAi LLCÂ
Deployed on AWS
Identify customers likely to churn and mitigate customer churn by contacting customers for each marketing campaign.
Overview
Know in advance those customers likely to churn with this suite of predictive analytics models. Identify customers more likely to churn, either directly or predicting the churn event or indirectly by analyzing the network experience. The algorithm also targets strategies to mitigate customer churn by contacting customers for each marketing campaign.
Our machine learning models are available through a Private Offer. Please contact info@electrifai.net for subscription service pricing.
SKU: CHMIT-PS-TLC-AWS-001
Highlights
- Know in advance those customers likely to churn with this suite of predictive analytics models and target those customers with appropriate marketing campaigns.
Details
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Delivery method
Latest version
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
Pricing is based on actual usage, with charges varying according to how much you consume. 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.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.2xlarge Inference (Batch) Recommended | Model inference on the ml.m5.2xlarge instance type, batch mode | $700.00 |
ml.p2.8xlarge Inference (Real-Time) Recommended | Model inference on the ml.p2.8xlarge instance type, real-time mode | $700.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $900.00 |
ml.m5.large Inference (Batch) | Model inference on the ml.m5.large instance type, batch mode | $500.00 |
ml.p2.xlarge Inference (Real-Time) | Model inference on the ml.p2.xlarge instance type, real-time mode | $500.00 |
ml.p2.16xlarge Inference (Real-Time) | Model inference on the ml.p2.16xlarge instance type, real-time mode | $900.00 |
Vendor refund policy
According to contract
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Vulnerability CVE-2021-3177 (i.e. https://nvd.nist.gov/vuln/detail/CVE-2021-3177Â ) has been resolved in version 1.0.1.
Additional details
Inputs
- Summary
Input: More than 5 comma separated files (depending on how many service usage the user will provide) in a tar or tar.gz compression format.
https://github.com/ElectrifAi/model-aws-churn-mitigation/blob/master/inputData.tar.gz
https://github.com/ElectrifAi/model-aws-churn-mitigation/blob/master/inputData.tar.gz
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
More than 5 csv files archived in tar or tar.gz format | scoring_date.csv (required), profile.csv (required), bill_records.csv (required), payment_records.csv (required), service1_usage_records.csv (required)**, serviceN_usage_records.csv (optional, N=2,3,4,5...**), subscription_records.csv (optional); ** service1 means the primary service provided to customer; **N=2,3,4,5,6,7...., can add any number of service usage table, follow the same schema of service1_usage_records.csv | Type: FreeText | Yes |
Resources
Vendor resources
Support
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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