Analytics & Data
Signalry
Browser and server SDKs to measure events and send them to advertising and analytics platforms
- 0community votes
- 0DR by Ahrefs no change since last check
Ahrefs Domain Rating listed 6 Nov 2026, relisted 4 Nov 2026.
Event tracking and delivery infrastructure for measuring user actions and sending them to Meta, Google, TikTok and other marketing platforms via browser and
What it is

Signalry: the homepage
Signalry provides event tracking SDKs for browsers and servers that capture user actions like purchases, page views, and add-to-cart events. It records visits including referrer information and UTM parameters, manages user consent, and automatically delivers events to connected advertising and analytics platforms such as Meta, Google, and TikTok. The platform validates each event against your organization's catalog, deduplicates them, and ties them to the corresponding visits. Signalry supports multiple programming languages including Node.js, Python, and PHP, and handles both real-time browser events and critical server-side events like confirmed purchases that must not be lost.
Listed capabilities
- Browser SDK (signalry.js) for recording visits, UTM parameters, referrer, consent and user events
- Server-side event sending via REST API with support for purchase, refund and lead events
- Automatic event validation against organization's event catalog
- Event deduplication and automatic delivery to connected platforms
- Automatic page view tracking and single-page app support
- Consent management for advertising and analytics identifiers
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Signalry metrics
| Metric | Value |
|---|---|
| Domain Rating | 0 no change since last check |
| Trust Flow | 0 no change since last check |
| Citation Flow | 0 no change since last check |
| Referring domains | 0 no change since last check |
| External backlinks | 0 no change since last check |
Ahrefs Domain Rating listed 6 Nov 2026, relisted 4 Nov 2026. Majestic listed 4 Nov 2026, relisted 4 Nov 2026. Link data listed by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Signalry domain listing data
Show the listing data
| Domain age | 25 days |
|---|---|
| Registered | |
| Expires | |
| Registrar | Cloudflare, Inc. |
| DNSSEC | Not signed |
Signalry launch receipt entry
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 0 to 0 no change since launch 4 Nov 2026, then 5 Nov 2026 |
| Trust Flow (Majestic) | 0 first measured 4 Nov 2026 |
| Referring domains (Majestic) | 0 first measured 4 Nov 2026 |
Day 1 since launch. Next receipt: day 30, 4 Dec 2026. We show what changed, not what caused it: many things affect these numbers. Nothing here is estimated.
Before you launch
The playbook on SaaS Directory List lists what to prepare, what to post on launch day and where else to list your product.
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Quick answers
How does Signalry handle event deduplication and retries?
Each event uses a stable message_id to prevent duplicates - purchases use the order number and are also deduplicated by transaction_id for 7 days, refunds by refund_id for 30 days. Retrying is safe: an already-accepted event returns as 'deduped' and is not delivered twice.
Which advertising and analytics platforms does Signalry support?
Signalry delivers events to Meta, Google, TikTok and other platforms you connect in the console. Standard events like add_to_cart arrive as Meta AddToCart, GA4 add_to_cart, and TikTok AddToCart depending on the platform.
How is customer data like email and phone handled?
Email and phone are hashed using SHA-256 in the browser before they leave and only sent with advertising consent. Signalry uses them to help platforms recognize the person, but they are never sent in plain text to ad platforms.
How does Signalry tie purchases to the visit that led to them?
At checkout, read signalry.anonymousId() from the browser and store it with the order. When the payment is confirmed, send that anonymous_id along with the user_id to your server. This allows Signalry to recover the click IDs, UTM parameters and platform cookies from that person's visits.
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