# Find the brands worth your time.

Filter inactive stores and likely dropshipping operations. Focus ecommerce alerts on established brands with evidence of commercial activity.

A store change is only useful when the business fits. Put merchant quality ahead of alert volume.

## Filter inactive stores automatically

Screen out inactive storefronts before they reach your alert workflow. Use store availability and ongoing commercial activity as qualification inputs; a temporary outage should not automatically classify an otherwise active brand as dead.

## Make dropshipping exclusions a choice

Use machine-learning indicators to flag likely dropshipping operations and exclude them when they fall outside your ideal customer profile. These are classifications to review, not proof of a merchant’s business model or quality.

## Prioritize brands with commercial substance

Look for an active catalog, sustained activity, brand presence and consistent demand indicators. Qualify brands with evidence of real commercial activity. Public storefront signals alone do not verify revenue, GMV or profitability.

## Define what earns a notification

Combine your platforms, markets and signal types with store-quality rules. Agree the filter criteria during setup and keep the reason for inclusion or exclusion available for review.

## Related pages

- [See the core plan](https://signaltally.com/pricing): Ecommerce signals with store-quality filtering.
- [Watch a signal become a workflow](https://signaltally.com/product/monitoring): Choose a prompt and a destination.

Canonical source: [SignalTally](https://signaltally.com/product/store-quality)

[Data and attribution guide](https://signaltally.com/llms.txt)