Airship Predictive Churn logo

Airship Predictive Churn

by Airship
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ActiveCloud
Quick facts
VendorAirship
Year launchedN/A
StatusActive
LocationN/A
Countries servedN/A
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About Airship Predictive Churn

Airship Predictive Churn is a feature within the Airship platform that uses machine learning to analyze user behavior.

Airship Predictive Churn is a feature within the broader Airship customer experience platform, designed to help marketers proactively reduce user churn. It employs a machine learning model to analyze user activity, such as app opens and website visits, to predict which users are likely to become inactive. Each user is then assigned a High, Medium, or Low churn risk profile. These risk profiles are applied as tags, allowing marketers to create targeted segments for re-engagement campaigns, personalized messaging, and automated journeys. The model updates weekly, ensuring the risk assessments remain relevant. While pricing is not publicly detailed and requires a sales quote, the feature is an integral part of Airship's suite for customer lifecycle marketing. Support is available through a documentation hub and contact forms.

Pros & Cons

Pros
  • Identifies at-risk users before they become inactive.
  • Enables proactive and targeted re-engagement campaigns.
  • Integrates directly with Airship's journey orchestration and analytics tools.
  • Uses machine learning that is tailored to the specific app's audience.
Cons
  • Pricing is not publicly available and requires contacting sales.
  • This is a feature within a larger platform, not a standalone product.

Features

Key features

Churn Prediction

Analyzes audience behavior to identify users at risk of becoming inactive.

Risk Segmentation

Tags users as High, Medium, or Low risk, enabling targeted audience segmentation.

Weekly Model Updates

The predictive model runs weekly to keep churn risk factors current.

Journey Integration

Use churn risk tag changes to trigger automated messaging sequences and journeys.

Performance Analytics

Analyze churn risk profiles within Airship's Performance Analytics tool.

Additional features

Tag-Based System

Churn risk is represented as a tag within the 'ua_churn_prediction' tag group.

Real-Time Data Streaming

Tag change events are available in real-time data streams for external system integration.

Activity-Based Analysis

The model is trained on recency and frequency of notification sends, app opens, and website visits.

Audience-Tailored Predictions

The model incorporates the app key as an input to tailor predictions to a specific audience.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

Countries served
1
Interface languages
Billing currencies

Interface languages

English

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