---
title: "Learning Center | Snowplow Signals"
description: "Plain-English explainers on real-time customer context: attributes, feature stores, personalization, intent, recommendations, agents and decisioning."
source: https://signals.snowplow.io/learning
---

Learning Center

# Learn about real-time customer context 

Plain-English explainers on the ideas behind real-time customer context: what they are, how they work, and when to use them.

[Start free](https://signals.snowplow.io/start) [Talk to an engineer](https://signals.snowplow.io/start?intent=engineer) 

The real engine · no card · no sales call

## Browse by topic

### [Generative UI](https://signals.snowplow.io/learning/generative-ui) 

How apps assemble the interface at request time, and why live state makes it work.

* [What is generative UI?](https://signals.snowplow.io/learning/generative-ui/what-is-generative-ui)
* [Generative UI vs server-driven UI](https://signals.snowplow.io/learning/generative-ui/generative-ui-vs-server-driven-ui)
* [What is an adaptive experience?](https://signals.snowplow.io/learning/generative-ui/what-is-an-adaptive-experience)

### Real-time customer data

Coming soon 

Event data, streaming versus batch, and what makes an attribute current.

### [Feature stores](https://signals.snowplow.io/learning/feature-stores) 

Online and offline features, training and serving skew, and where a warehouse stops.

* [What is a feature store?](https://signals.snowplow.io/learning/feature-stores/what-is-a-feature-store)
* [Online vs offline features](https://signals.snowplow.io/learning/feature-stores/online-vs-offline-features)
* [What is training-serving skew?](https://signals.snowplow.io/learning/feature-stores/what-is-training-serving-skew)

### In-session personalization

Coming soon 

Acting on what a visitor is doing now, not on last night's segment.

### [Customer profiles and identity](https://signals.snowplow.io/learning/customer-profiles-and-identity) 

Building a profile from behavior, and stitching anonymous visits to a known user.

* [What is a customer profile?](https://signals.snowplow.io/learning/customer-profiles-and-identity/what-is-a-customer-profile)
* [Behavioral vs declared customer data](https://signals.snowplow.io/learning/customer-profiles-and-identity/behavioral-vs-declared-customer-data)
* [What is identity resolution?](https://signals.snowplow.io/learning/customer-profiles-and-identity/what-is-identity-resolution)

### Intent and propensity

Coming soon 

Reading buying intent from behavior, and how it differs from a propensity score.

### Recommendations

Coming soon 

How recommendation engines work, and why real-time context changes what they surface.

### [AI agents and memory](https://signals.snowplow.io/learning/ai-agents-and-memory) 

Giving an agent the context and memory to act on what a customer just did.

* [What is agent memory?](https://signals.snowplow.io/learning/ai-agents-and-memory/what-is-agent-memory)
* [Short-term vs long-term agent memory](https://signals.snowplow.io/learning/ai-agents-and-memory/short-term-vs-long-term-agent-memory)
* [What is agentic context?](https://signals.snowplow.io/learning/ai-agents-and-memory/what-is-agentic-context)

### Real-time decisioning

Coming soon 

Triggers, rules and models that choose the next action the moment it matters.

## Start with the free tier 

These are the ideas. Signals is where you put them to work: add the SDK, define one attribute, and see an attribute updating against your own traffic in the first session. The free tier runs on the real engine: no card, no sales call.

[Start free](https://signals.snowplow.io/start) [Talk to an engineer](https://signals.snowplow.io/start?intent=engineer)