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Churn prevention
Catch defecting customers before they become inactive and drive them to another purchase.
For:
Marketing specialist
GrowthOS level:
Marketing
Automate churn prevention with AI
Use an AI scoring model to predict if an active customer will make a next purchase
Increase your customer LTV
Many customers go dark after their first purchase - identify the risky ones and ensure they keep returning for the next purchase
How it works
- Install Intempt web tracker to start tracking events in your store
- Connect Shopify to sync your order & customer data
- Create a predictive churn score - select a goal for users that made at least one purchase but did not perform successive orders
- Use the predictive score to create a “High churn segment”
- Create a journey with re-engagement communication sequences that will be served to users that have a high probability of defecting
- View journey analytics and check your conversion goal - Â if users enrolled in the journey made their next order
Features used
- Predictive scoring
- Journeys
- Segments
- Events
Metrics that move
- Customer lifetime value
- Customer churn rate
- Net promoter score
- Customer satisfaction score
- Customer retention cost
- Customer health score
Guides - get started
Template
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Workflows
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Guides
Go to Guides
CONTACt US:
268 Bush St, #2824
San Francisco, CA 94104
United States
Odminiu 11-4,
Vilnius, LT-01122,
Lithuania
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