> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/4.-features-and-workflows/awareness-consideration-action-momentum-defined.md).

# Awareness, Consideration, Action Momentum Defined

### Overview

TickerTrends groups many alternative data signals into three stages of the consumer journey:

* **Awareness**
* **Consideration**
* **Action**

This helps users understand not just whether interest exists, but **where** that interest sits in the buying funnel.

### Awareness

**Awareness** captures the earliest stage of interest.

This is when consumers are first hearing about a brand, product, or concept. These signals usually reflect attention, discovery, or early exposure rather than clear purchase intent.

Common awareness-type signals can include broad search interest, social discussion, views, mentions, and other top-of-funnel attention data.

### Consideration

**Consideration** captures the research phase.

This is when consumers move beyond awareness and begin actively evaluating a product or service. These signals usually reflect stronger intent than awareness, but not yet a confirmed action.

Common consideration-type signals can include product research behavior, deeper search activity, website exploration, review-related behavior, or other datasets tied to comparing and evaluating options.

### Action

**Action** captures the highest-intent stage of the funnel.

This is when consumers are following through in datasets that suggest a stronger likelihood of conversion, purchase, signup, download, or another meaningful action.

Common action-type signals can include high-buyer-intent datasets, conversion-oriented traffic, transaction-related behavior, or other sources that sit closest to real demand.

### Why this matters

Breaking data into **Awareness**, **Consideration**, and **Action** helps users distinguish:

* early buzz from real demand
* curiosity from active research
* research from likely conversion

This makes the funnel view especially useful for identifying whether momentum is broadening or moving closer to measurable business impact.