Engage & Nurture Customers Throughout Their Journey
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Optimize marketing strategies and improve the effectiveness of advertising by selecting the right attribution model
LTV Framework & Churn Prediction Model
The lifetime bust framework helps you calculate the lifetime value of your existing and potential customers using cohort-based segmentation with data science models.
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Calculate the lifetime value of customers to provide for acquisition and retention costs.
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Use static & customer engagement variables to develop churn prediction models.
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Receive regular insights on customers who can attrite & enable proactive measures to stop them.
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Leverage RFM (Recency, Frequency & Monetary) Framework for LTV calculations.
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Identify customers likely to attrite using the churn prediction model.
Orchestrate Omnichannel Journeys Through Marketing Automation
Orchestrate marketing campaigns across different channels ensuring consistent CX and engagement opportunities.
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Engage customers using data-driven retargeting, upselling & cross-selling
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Utilize industry-standard marketing automation for campaigns of any scale.
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Identify triggers, messaging, and value prop for marketing messages
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Drive A/B testing at scale across multiple parameters.
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Discover new customer segments beyond RFM to enhance revenue growth.
Cross-Sell & Upsell Through Product & Service Recommendation
Increase average order value and customer retention using the following strategies:
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Build buyer personas
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Thankyou Page recommendations
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Email marketing
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Align customer offerings with customer journey
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Develop Product page recommendations
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Retargeting ads
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Cart page recommendations
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Leverage data science models for product bundling and price anchoring
Additional Features
Loyalty & Subscription Models
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Optimize Post Purchase Customer Experience
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