Sold by: ElectrifAi LLCÂ
Deployed on AWS
Identify the likelihood an email prospect will opt-out of email campaign.
Overview
When a prospect unsubscribes from future email campaigns, all potential revenue from that prospect is lost. This algorithm analyzes prospect behavior and campaign frequency to identify prospects likely to opt-out. Prospects are assigned a probability of opting out of the next mailing, allowing you to adjust campaign frequency based on mailing tolerance, maintaining the size and quality of your prospect list.
Our machine learning models are available through a Private Offer. Please contact info@electrifai.net for subscription service pricing.
SKU: EFOOP-PT-TAT-AWS-001
Highlights
- Know in advance which customers are likely to opt-out of email campaigns and adjust campaign frequency to retain prospects.
Details
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Delivery method
Latest version
Deployed on AWS
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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 | $500.00 |
ml.m5.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.2xlarge instance type, real-time mode | $500.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $700.00 |
ml.m5.12xlarge Inference (Batch) | Model inference on the ml.m5.12xlarge instance type, batch mode | $900.00 |
ml.m5.4xlarge Inference (Real-Time) | Model inference on the ml.m5.4xlarge instance type, real-time mode | $700.00 |
ml.m5.12xlarge Inference (Real-Time) | Model inference on the ml.m5.12xlarge instance type, real-time mode | $900.00 |
Vendor refund policy
According to contract
Legal
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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-2021-3177 ) has been resolved in version 1.0.1.
Additional details
Inputs
- Summary
Input data in tar and tar.gz compression formats. 8 comma separated csv, 6 are required, 2 are optional scoring_date.csv (required) profile.csv (required) em_sent.csv (required) em_click.csv (required) em_open.csv (required) transaction.csv (required) profile_optional.csv (optional) dm_sent.csv (optional)
- Input MIME type
- application/json
https://github.com/ElectrifAi/model-aws-email-fatigue-opt-out/blob/master/inputData.tar.gz
https://github.com/ElectrifAi/model-aws-email-fatigue-opt-out/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 |
|---|---|---|---|
Input data in tar and tar.gz compression formats. 8 comma separated csv | scoring_date.csv (required)
profile.csv (required)
em_sent.csv (required)
em_click.csv (required)
em_open.csv (required)
transaction.csv (required)
profile_optional.csv (optional)
dm_sent.csv (optional) | Type: FreeText | Yes |
6 are required | scoring_date.csv (required)
profile.csv (required)
em_sent.csv (required)
em_click.csv (required)
em_open.csv (required)
transaction.csv (required)
profile_optional.csv (optional)
dm_sent.csv (optional) | Type: FreeText | Yes |
2 are optional | scoring_date.csv (required)
profile.csv (required)
em_sent.csv (required)
em_click.csv (required)
em_open.csv (required)
transaction.csv (required)
profile_optional.csv (optional)
dm_sent.csv (optional) | 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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