AI that
adapts UX in
real-time

AI that
adapts UX in
real-time

AI that
adapts UX in
real-time

Nudge analyzes user intent, evaluates context, and makes decisions that improve with every user interaction.

Nudge analyzes user intent, evaluates context, and makes decisions that improve with every user interaction.

Nudge analyzes user intent, evaluates context, and makes decisions that improve with every user interaction.

USERS

last_purchase

churn_prob

lifetime_value

recency

frequency

shopping_count

ATTRIBUTES

DECISIONS

Selected

Upsell embed

Offer overlay

Winback nudge

VARIANTS

AI Decisioning

AI Decisioning

AI Decisioning

From rules to
real-time decisions

From rules to
real-time decisions

From rules to
real-time decisions

Traditional personalization relies on static segments, manual A/B tests, or guesswork that can’t keep up with how fast user behavior changes.

AI decisioning replaces gut-feel targeting with agentic AI that observes behavior, runs experiments, and makes real-time decisions across the user journey.

Nudge’s AI decisioning engine is a goal-based reinforcement learning system.

Marketers can define what to optimize for, whether that’s conversion or retention– and set guardrails, design variants, and let the agent do the decision-making.

Traditional personalization relies on static segments, manual A/B tests, or guesswork that can’t keep up with how fast user behavior changes.

AI decisioning replaces gut-feel targeting with agentic AI that observes behavior, runs experiments, and makes real-time decisions across the user journey.

Nudge’s AI decisioning engine is a goal-based reinforcement learning system.

Marketers can define what to optimize for, whether that’s conversion or retention– and set guardrails, design variants, and let the agent do the decision-making.

Traditional personalization relies on static segments, manual A/B tests, or guesswork that can’t keep up with how fast user behavior changes.

AI decisioning replaces gut-feel targeting with agentic AI that observes behavior, runs experiments, and makes real-time decisions across the user journey.

Nudge’s AI decisioning engine is a goal-based reinforcement learning system.

Marketers can define what to optimize for, whether that’s conversion or retention– and set guardrails, design variants, and let the agent do the decision-making.

Attributes

loyalty_index

cart_size

churn_prob

coupon_usage

checkout_time

shopping_count

Variant

Features

Features

Features

Put your product on autopilot —with decisions that learn

Put your product on autopilot —with decisions that learn

Put your product on autopilot —with decisions that learn

Analyzes user behavior

Detects trends, preferences, and behavioral shifts in real time.

Ellie

elle@gmail.com

recency_rank

frequency_rank

monetary_rank

purchase_count

Ethan

eth@gmail.com

category_diversity

session_depth

engagement_ratio

days_active

Ryan

ryan@gmail.com

loyalty_index

coupon_use

churn_prob

shopping_count

Alex

alex@gmail.com

monetary

session_count

frequency

cart_size

Analyzes user behavior

Detects trends, preferences, and behavioral shifts in real time.

Ellie

elle@gmail.com

recency_rank

frequency_rank

monetary_rank

purchase_count

Ethan

eth@gmail.com

category_diversity

session_depth

engagement_ratio

days_active

Ryan

ryan@gmail.com

loyalty_index

coupon_use

churn_prob

shopping_count

Alex

alex@gmail.com

monetary

session_count

frequency

cart_size

Analyzes user behavior

Detects trends, preferences, and behavioral shifts in real time.

Ellie

elle@gmail.com

recency_rank

frequency_rank

monetary_rank

purchase_count

Ethan

eth@gmail.com

category_diversity

session_depth

engagement_ratio

days_active

Ryan

ryan@gmail.com

loyalty_index

coupon_use

churn_prob

shopping_count

Alex

alex@gmail.com

monetary

session_count

frequency

cart_size

Input goals, guardrails, and rollout

You define the strategy. The agent explores what works within your parameters.

Goal

Add to cart

Rollout

Guardrails

This will be sent to users who meet the following criteria

Has property

Country

equals

Spain

And

Has property

Platform

equals

android

Input goals, guardrails, and rollout

You define the strategy. The agent explores what works within your parameters.

Goal

Add to cart

Rollout

Guardrails

This will be sent to users who meet the following criteria

Has property

Country

equals

Spain

And

Has property

Platform

equals

android

Input goals, guardrails, and rollout

You define the strategy. The agent explores what works within your parameters.

Goal

Add to cart

Rollout

Guardrails

This will be sent to users who meet the following criteria

Has property

Country

equals

Spain

And

Has property

Platform

equals

android

Delivers right variant for every user

Automatically adapts the experience based on real-time context and user behavior.

Joseph

Stephanie

Courtney

Delivers right variant for every user

Automatically adapts the experience based on real-time context and user behavior.

Joseph

Stephanie

Courtney

Delivers right variant for every user

Automatically adapts the experience based on real-time context and user behavior.

Joseph

Stephanie

Courtney

Maximizes outcomes over time

Every user interaction makes the agent smarter and helps it make better decisions.

1

2

3

4

5

1

2

3

4

1

2

3

1

2

1

Maximizes outcomes over time

Every user interaction makes the agent smarter and helps it make better decisions.

1

2

3

4

5

1

2

3

4

1

2

3

1

2

1

Maximizes outcomes over time

Every user interaction makes the agent smarter and helps it make better decisions.

1

2

3

4

5

1

2

3

4

1

2

3

1

2

1

All integrations in one place

All integrations in one place

All integrations in one place

Ready to launch personalized commerce experiences?

Ready to launch personalized commerce experiences?

Ready to launch personalized commerce experiences?