# From a change to a decision.

How SignalTally combines daily ecommerce scans, global domain coverage and machine learning to prepare signals for teams and agents.

Collect globally. Filter intelligently. Bring the right change into the next workflow.

## 01 / Collect the change

Our intelligence network monitors 10M+ ecommerce stores daily and 300M+ web properties weekly from 100 geographically distributed edge points. Start with the platforms, merchants and markets relevant to your offering.

## 02 / Filter for relevance

Advanced machine learning filters activity into commercially useful signals. Define the changes that matter to you, from a free-to-premium theme upgrade to a platform migration or a growing app ecosystem.

## 03 / Preserve the context

Keep the observed change, its source and its date together. Identify estimates explicitly. Domain-name coverage is distinct from the availability or accuracy of an individual detector.

## 04 / Put the next step in motion

Our direction is enriched alerts and agent handoffs that fit the customer’s existing work. Preview Slack, Teams, email, agent and webhook destinations; agree commercial coverage, delivery and automation requirements with our team.

## Related pages

- [Plan your workflow](https://signaltally.com/contact): Describe your accounts, signals and delivery requirements.
- [See an example](https://signaltally.com/product/signal-stream): Explore ecommerce signal examples.

Canonical source: [SignalTally](https://signaltally.com/product/how-it-works)

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