mazdek
Real-time Personalization • Sales & Marketing

Predictive Next-Best-Action

The AI Agent analyzes customer behavior and context to predict the optimal next action in real-time — whether product recommendation, discount offer, or service contact.

38% higher Customer Lifetime Value
Predictive AI Customer Intelligence ML Models Real-time Scoring

38%

Higher CLV

52%

Better Conversion

67%

Less Churn

4.2x

ROI in First Year

About This Solution

How Does Predictive Next-Best-Action Work?

Predictive Next-Best-Action (NBA) transforms your customer interaction from reactive to proactive. The AI Agent processes hundreds of signals in real-time to determine the perfect next action for each individual customer.

The system analyzes purchase history, browsing behavior, customer service interactions, external factors like season or events, and combines these with machine learning models. The result: A precise prediction of which action has the highest probability of success.

Whether it's cross-selling, churn prevention, up-selling, or service improvement — the agent delivers context-aware recommendations that maximize both business value and customer satisfaction.

Features

What This Agent Can Do

Multi-Signal Analysis

Processes hundreds of data points from CRM, web analytics, support tickets, and external sources.

Real-time Scoring

Calculates probabilities for each possible action in milliseconds.

Omnichannel Orchestration

Coordinates actions across all channels: web, app, email, call center, and store.

Self-Learning System

The model continuously improves through feedback loops and A/B testing.

Examples

How It Works in Practice

1

Churn Prevention

"A long-time customer shows signs of dissatisfaction: fewer logins, support tickets, no purchases. The agent recommends a proactive call with a personalized offer."

Cancellation rate drops by 67% for at-risk customers through early intervention.

2

Cross-Selling Optimization

"After a laptop purchase, the agent calculates the optimal time and best product for cross-selling. Instead of immediately, a laptop bag is recommended after 2 weeks."

Cross-selling success rate increases by 43% through optimal timing.

3

Service Escalation

"A VIP customer has had an open support ticket for 48 hours. The agent automatically prioritizes and notifies the senior support team."

VIP customer satisfaction increases by 28% through prioritized treatment.

FAQ

Frequently Asked Questions

What data sources are needed?
At minimum, we need CRM data and web analytics. The more sources connected (support system, email marketing, app data), the more precise the predictions. We support over 50 standard integrations.
How long does implementation take?
A basic implementation is possible in 4-6 weeks. For full integration with all channels and custom models, we estimate 3-4 months.
How transparent are the AI Agent decisions?
Fully transparent. Each recommendation comes with an explanation of why this action was suggested, which factors were weighted most heavily, and the confidence level.
Can I exclude certain actions?
Yes, you can define rules that prevent certain actions in certain contexts. Example: No discount offers to customers who have already received a discount in the last 30 days.

Interested in This Solution?

Let's discuss how Predictive Next-Best-Action can increase your Customer Lifetime Value.

Get Free Consultation View All Solutions