Identify renewal status
using AI
Below is a free classifier to identify renewal status. Just input your text, and our AI will predict the renewal status of your subscription. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("renewal-status", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/renewal-status/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/renewal-status/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the renewal status of your subscription..
This pretrained text model uses a Nyckel-created dataset and has 15 labels, including Active, Cancellation, Downgraded, Expired, First Issue, Non-Renewal, Pending Approval, Pending Renewal, Refunded and Reinstated.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the renewal status of your subscription.).
Whether you're just curious or building renewal status detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify renewal status at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Renewal Confirmation: This use case involves identifying whether a customer’s renewal status is current or requires action. By applying the false text classification function to customer communication, businesses can automatically flag messages that indicate renewal issues, allowing customer support teams to address them promptly.
- Subscription Analytics: Leveraging the renewal status identifier, businesses can analyze trends in renewal rates over time. This can provide insights into customer retention, enabling organizations to adjust their offerings or marketing strategies based on identified patterns.
- Automated Re-Engagement Campaigns: Companies can utilize the false text classification function to classify customers who are at risk of not renewing their services. By identifying these customers, targeted re-engagement campaigns can be launched to offer incentives, thus increasing the likelihood of renewal.
- Billing Accuracy Verification: This use case uses the renewal status identifier in the billing process to ensure invoices reflect the correct subscription periods. By flagging discrepancies, businesses can minimize billing errors, enhance customer satisfaction, and reduce disputes.
- Churn Prediction Models: The renewal status can serve as a key feature in predictive models that estimate customer churn risk. By accurately classifying customer renewal statuses, organizations can predict potential churn and take proactive measures to retain those customers.
- Personalized Customer Engagement: Using the renewal status identifier, businesses can personalize communications based on individual customer renewal timelines. This ensures that customers receive relevant information about their subscriptions, enhancing engagement and satisfaction.
- Performance Metrics and Reporting: This use case focuses on utilizing the renewal status classifier for generating performance reports related to subscription renewals. Organizations can evaluate the effectiveness of their renewal strategies, identify areas for improvement, and facilitate data-driven decision-making.