# Filters

{% columns %}
{% column valign="middle" %}
Filters let you control which of your existing stores are used for analysis. By filtering your portfolio by tags, you can ensure sales projections and analog comparisons are based on the most relevant subset of your locations.
{% endcolumn %}

{% column %}

<figure><img src="https://2595087262-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FjYLFGKmaRxwLlrdFzDm2%2Fuploads%2FJJ9Ju2srCbIETTE1E8ZM%2Fimage.png?alt=media&#x26;token=e4147722-97ef-4da3-8c63-955a2f72bc65" alt="" width="375"><figcaption></figcaption></figure>
{% endcolumn %}
{% endcolumns %}

***

### What Filters Do

When you apply filters:

* **Analog comparisons** use only stores matching your criteria
* **Sales projections** recalculate based on the filtered comparison set
* **Filtered Stores** appear as purple pins on the map
* **Unfiltered stores** remain visible (as red pins) but aren't used in calculations

This allows you to compare a potential site against stores that share meaningful characteristics—rather than your entire portfolio.

***

### Accessing Filters

Click **Filters** in the top bar of Site Analysis (next to the trade area selector). The filter panel displays your available tags and current selections.

***

### Tags

Tags are labels assigned to your stores in My Stores. Common tag categories include:

| Category        | Example Tags                      |
| --------------- | --------------------------------- |
| **Geography**   | TX, Southeast, Urban, Suburban    |
| **Format**      | Drive-through, Mall, Freestanding |
| **Performance** | Top Quartile, New Store           |
| **Size**        | Small Format, Large Format        |

See My Stores for how to create and assign tags.

***

### Applying Filters

1. Click **Filters** to open the filter panel
2. Select tags to include in your comparison set
3. Click **Apply Filters** to update your analysis

The filter bar displays your active selections (e.g., "All of: Florida, Urban").

#### Include vs. Exclude

Click a selected tag to toggle between include and exclude:

* **Include (checkmark):** Only stores with this tag are used
* **Exclude (X):** Stores with this tag are removed from the comparison set

**Example:** To analyze against Florida stores that are *not* Urban:

1. Select "Florida" (include)
2. Select "Urban" and click to toggle to exclude
3. Apply filters

#### Match Mode

**All of:** Stores must have *all* selected include tags to match.

> "All of: Florida, Suburban" returns only stores tagged with both Florida AND Suburban.

**Any of:** Stores matching *any* selected include tag are included.

> "Any of: Florida, Texas" returns stores tagged with Florida OR Texas.

***

### Viewing Filtered Results

When filters are active:

* **Purple pins** on the map show stores matching your filter criteria
* **Red pins** show all other stores (visible but not used for analysis)
* The **filter bar** displays your current selections
* **Sales projections** update to reflect the filtered analog set

***

### Clearing Filters

Click **Reset** to remove all filter criteria and return to using your full store portfolio for analysis.

***

### Common Filter Scenarios

**Regional comparison:**

> Evaluating a Texas site? Filter to Texas stores only so projections reflect regional performance patterns.

**Format matching:**

> Evaluating an urban location? Filter to Urban-tagged stores to compare against similar site types.

**Excluding outliers:**

> Have stores affected by unusual circumstances (construction, temporary closure)? Tag and exclude them from analog sets.
>
> For stores you always want to exclude, email us at <analyst@growthfactor.ai> - we can update the underlying system to always exclude those stores.

**New vs. mature stores:**

> Filter to stores open 3+ years to base projections on stabilized performance, excluding ramp-up periods.

***

### Best Practices

**Be consistent.** Use standardized tag names across your portfolio. "TX" and "Texas" as separate tags fragment your data.

**Check filter impact.** After applying filters, note how many stores remain in the comparison set. Too few analogs can reduce projection reliability.

**Document your approach.** When presenting analysis, note which filters were applied so stakeholders understand the comparison basis.
