> 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-v2/2.-data-coverage-and-data-types/2.6-market-share-graph.md).

# 2.6 Market Share Graph

### **Overview**

**Market Share**\
Estimates relative competitive share within a defined category using a modeled blend of observable alternative data signals.

By aggregating signals that reflect where users are actively browsing and what they are searching for, the model captures how demand shifts between competitors as consumer behavior evolves. Rather than measuring absolute usage, the graph shows each entity’s **share of total demand within a category**, offering a more responsive view of competitive positioning.

Rising share typically indicates increasing consumer interest, stronger discovery, or improved conversion across channels, often ahead of reported financial results.

**Customization**\
Market Share graphs can be customized to reflect a user-defined competitive set.

Users can:

* Select or remove specific companies or brands
* Build custom groupings based on their coverage universe
* Adjust the set at any time to reflect changing market dynamics

These controls allow for more relevant analysis by defining the market based on the user’s specific use case rather than fixed groupings.

### Historical Length

Coverage typically extends several years back, depending on data availability across web traffic and search datasets. This allows users to analyze long-term competitive dynamics, including share shifts, category expansion, and sustained momentum.

### **Granularity**

Data is modeled at daily granularity, enabling users to track short-term changes in demand driven by product launches, marketing campaigns, or competitive events.

### **Update Frequency**

Updated daily with a short delay of less than a week, depending on the underlying data sources.

### **Methodology**

TickerTrends Market Share is a relative demand indicator showing how consumer interest is distributed across a defined set of competing brands or products over time. We combine and normalize multiple high-frequency digital demand signals, then express each entity’s activity as a proportion of the selected peer group. It is designed to reveal directional gains or losses in competitive momentum, not to represent audited sales-based market share.

### **Example Visualization**

<figure><img src="/files/kerPrfWDSTwDzwVCIHX6" alt=""><figcaption></figcaption></figure>

### **Use Cases**

* Detect early share gains or losses before they appear in reported metrics.
* Monitor competitive positioning across a defined set of companies or products.
* Identify inflection points where challengers begin to gain traction.
* Validate demand trends by combining with other datasets such as Discussion Share or Search Interest.