Identify customer churn risk
using AI
Below is a free classifier to identify customer churn risk. Just input your text, and our AI will predict the likelihood of a customer churning based on their behavior and engagement metrics - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("customer-churn-risk", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/customer-churn-risk/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/customer-churn-risk/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict the likelihood of a customer churning based on their behavior and engagement metrics.
This pretrained text model uses a Nyckel-created dataset and has 3 labels, including High, Low and Medium.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the likelihood of a customer churning based on their behavior and engagement metrics).
Whether you're just curious or building customer churn risk detection into your application, we hope our classifier proves helpful.
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Need to identify customer churn risk at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Customer Retention Strategy Development: By identifying customers at high risk of churn, businesses can develop targeted retention strategies. These strategies might include personalized offers or loyalty programs specifically designed to retain those customers who are most likely to leave.
- Targeted Marketing Campaigns: Businesses can leverage churn risk data to create tailored marketing campaigns aimed at at-risk customers. This could involve specific messaging or promotions designed to encourage these customers to remain engaged with the brand.
- Service Improvement Initiatives: Analyzing churn risk helps businesses pinpoint issues leading to customer dissatisfaction. By addressing these issues, such as service outages or product quality, companies can improve overall customer experience and reduce churn.
- Early Intervention Programs: Businesses can implement early intervention programs for customers identified as high risk. This proactive approach allows for outreach and engagement efforts before the customer decides to leave, potentially salvaging the relationship.
- Resource Allocation Optimization: Organizations can allocate marketing and customer service resources more efficiently by targeting high churn risk customers. This ensures that investments are focused on the segments of customers most likely to bring higher returns if retained.
- Customizing User Experience: By understanding the factors that contribute to churn risk, businesses can adapt their user experience to better meet customer needs. This customization may involve altering website navigation, product offerings, or customer support options to foster retention.
- Performance Metrics for Customer Success Teams: Integrating churn risk classification into performance metrics helps customer success teams focus on retention goals. This data-driven approach equips teams with insights needed to track their progress and adapt their strategies accordingly.