Storefront, checkout, search, account, product, cart, and order behavior.
Signals Commerce Intelligence
Target your spend for maximum growth.
Signals brings Google, Meta, and Pinterest connections into one command center so merchants can ask better questions about attribution, Google Ads spend, product feeds, checkout friction, diagnostics, and performance reporting.
Browser plus server
Capture events in the storefront, checkout, search, and account areas.
Feeds plus ads
Keep catalogs and conversion signals aligned across ad platforms.
Reports plus audits
See performance, validate deployment, and spot tracking issues sooner.
Tracking control layer
Take control of your tracking.
Stop managing tracking as scattered snippets. Signals gives merchants one place to capture commerce behavior, enrich it with product and customer context, route it to the right integrations, and verify the data before it affects spend, feeds, or revenue reporting.
GTM, server APIs, ad integrations, analytics reporting, and catalog feeds.
Payload logs, diagnostics, audits, script history, and reporting health.
Merchant questions, answered
Use Signals like a commerce analyst that already knows where to look.
Merchants do not wake up wanting more tracking tags. They want clear answers: what is converting, where spend should go, what broke, and which products or channels deserve attention.
Attribution and Google Ads
How can I get better attribution to improve my Google ad spend?
Signals improves attribution by pairing browser events with server-side delivery, enhanced conversion fields, order IDs, event deduplication, and product context. The result is cleaner conversion data for Google Ads and more trustworthy ROAS reporting.
Google Ads
GA4
Server Events
Product Context
- Capture add-to-cart, checkout, and purchase intent before the final order.
- Send stronger server-side signals when browser-only pixels are incomplete.
- Connect revenue, product data, and campaign performance in reporting views.
Attributed revenue confidence
+28%
This week
Hey Signals, is my Google Ads spend converting this week?
Signals combines spend, conversions, revenue, and event delivery health so weekly performance can be reviewed without hopping between disconnected dashboards.
Google Ads
GA4 Revenue
Event Health
- Compare spend against attributed revenue and conversion count.
- Flag when conversion delivery is weak before judging campaign quality.
- Surface the product and checkout signals behind the number.
Budget allocation
Where should I spend my marketing dollars?
Signals compares channel contribution, conversion quality, feed health, and product performance so budget conversations start with evidence instead of platform bias.
Google
Meta
Pinterest
Feeds
- Compare revenue contribution by source, not just clicks.
- Spot when feed or event quality is holding back a channel.
- See which products are creating profitable demand.
Recommended mix
Evidence based
Google
Meta
Pinterest
Organic
Scale or hold
Should I spend more on Google Ads?
Signals can show whether increased spend is supported by clean conversion data, profitable product demand, healthy landing pages, and current campaign efficiency.
ROAS
Margin confidence
Landing pages
- Check if conversions are clean enough to trust the signal.
- Review whether the products receiving demand are worth scaling.
- Keep budget decisions tied to both campaign and site health.
Spend readiness
Strong
Checkout diagnostics
What went wrong during checkout for customers?
Signals tracks checkout starts, payment or shipping progress, server payload delivery, and purchase completion so funnel drop-offs can be investigated with actual event evidence.
Checkout
Purchase events
Payload logs
Diagnostics
- Compare checkout starts against completed purchases.
- Inspect whether payment, shipping, or payload delivery caused the gap.
- Use event evidence before changing checkout UX or campaign spend.
Checkout issue path
Payment drop
Before Signals, the data lives everywhere. With Signals, the answer is easier to trust.
Signals does not replace every platform dashboard. It gives merchants one practical operating layer for deciding what to inspect, fix, and scale.
Fragmented answers
- Ad platforms report different conversion stories.
- Browser-only pixels miss key customer behavior.
- Feed issues and checkout problems stay hidden until performance drops.
- Teams chase reports instead of acting on them.
Connected signal operations
- Browser and server events support stronger attribution.
- Google, Meta, and Pinterest signals are managed together.
- Feeds, diagnostics, benchmarks, and reporting share one context.
- Merchants get clearer answers before moving budget.
Attribution
Separate new-customer growth from returning-customer revenue.
Signals attaches a durable first-party visitor ID to each shopper session, then upgrades that identity when account, My Account, login, or order data confirms a known customer.
That gives campaign and reporting workflows cleaner context: who is new, who is already a customer, and which revenue should guide acquisition, retention, and repeat-purchase decisions.
Keep events tied together before checkout, even when browser-only pixels lose context.
Connect account, order, and returning-customer signals when the shopper is recognized.
Compare new and existing-customer revenue so budgets and ROAS decisions use the right lens.
Customer-aware attribution
First-party signal path
Visitor ID
Every session
Known customer
Account-aware
Revenue view
New vs returning
What merchants can achieve with Signals
Signals connects tracking operations to practical business outcomes: better ad optimization, clearer funnel visibility, faster troubleshooting, and fewer blind spots in product and channel performance.
Attribution
Recover conversion visibility that browsers keep taking away.
Use first-party event IDs, enhanced conversion fields, and server-side delivery paths to reduce dependence on fragile browser-only pixels.
Optimization
Feed ad platforms the signals they need to learn faster.
Send purchase, cart, search, account, and product context into the destinations that power bidding, remarketing, and audience quality.
Merchandising
Understand which products attract, convert, and stall.
Track product views, list selections, search behavior, add-to-cart intent, checkout progress, and final orders with consistent item data.
Operations
Ship tracking changes without guessing what changed.
Publish compiled scripts, review script history, compare versions, inspect payloads, and validate delivery before problems reach campaigns.
Reporting
Turn analytics, ads, and search data into reusable dashboards.
Build dashboards from GA4, Google Ads, and Search Console data, then compare performance against reference metrics and saved benchmarks.
Catalogs
Keep product feeds useful, valid, and platform-ready.
Generate secure feeds for Google, Meta, and Pinterest with mapping controls, sale price logic, availability rules, and diagnostics.
Signal power stack
Capabilities that turn tracking into merchant control.
Signals gives merchants the operating system for commerce data: capture behavior, send stronger conversion signals, publish feeds, read performance, and debug problems before they drain budget.
16+ ecommerce events
Browser + server delivery
Feeds, reports, audits
Storefront signal layer
Track the full storefront journey.
Capture browser-side ecommerce events and supporting context from product pages, category lists, search results, cart actions, checkout, and general clicks or forms.
- view_item, select_item, add_to_cart, remove_from_cart, view_cart
- Search, newsletter, general click, and form submit events
- Product context resolution from nearby markup and data attributes
Server-side delivery
Send server-side conversion events.
Route critical events through direct server APIs or GTM server flows so ad platforms receive cleaner, more complete conversion data.
- Meta Conversions API support with event IDs and user data
- Google Ads enhanced conversion fields and server GTM routing
- Pinterest conversion delivery and relay diagnostics
Catalog engine
Publish product feeds that match ad requirements.
Create catalog feeds with platform-specific field handling so Shopping, catalog, and dynamic ads have dependable product data.
- Google, Meta, and Pinterest feed generation
- Field mapping, fixed values, secure feed URLs, and filter rules
- Price, sale price, availability, image, and product URL helpers
Performance command center
Build dashboards from the sources merchants actually use.
Bring GA4, Google Ads, Search Console, Meta campaign, and Pinterest campaign reporting into an admin experience that can be reused by operators and decision-makers.
- Dashboard widgets, saved report configurations, and schedules
- Core Web Vitals, SEO visibility, ad spend, campaign performance, ROAS, revenue, and funnel data
- Reference metric overlays and benchmark coverage checks
Diagnostics
Debug what was sent, where it went, and why it failed.
Use payload viewers, compiled script inspection, API debug logs, integration diagnostics, and GTM audits to isolate tracking issues.
- Server-event payload logs and latest event inspection
- Google Ads implementation diagnostics and deployment audits
- Compiled script history, comparisons, and settings snapshots
Known-customer intelligence
Connect known customer behavior after login.
Extend signal quality into My Account activity so merchants can understand returning-customer behavior beyond the public storefront.
- Login, registration, order history, order detail, and buy-again events
- Preference and account-area deployment controls
- Server-originated posting to GTM server paths where appropriate
Integrations
Connect the services merchants use to measure, advertise, and optimize.
Signals keeps events, catalog feeds, and reporting connected across the integrations merchants already rely on for traffic, revenue, and discovery.
Use it as the shared operating layer between ecommerce platforms, GTM, ad APIs, analytics reports, and catalog delivery.
Google Analytics 4
Track GA4 ecommerce behavior, revenue, orders, sessions, item performance, and funnel reporting from the merchant's store activity.
Google Ads
Support conversion quality, enhanced conversion fields, Google Ads dashboards, and Shopping-ready product feed workflows.
Meta
Prepare Meta-ready fields, support Conversions API delivery, deduplicate events, and keep catalog data available for Facebook and Instagram ads.
Send Pinterest conversion events and maintain product feed data for shopping surfaces, catalogs, and campaign measurement.
Google Search Console
Use GSC reporting, Core Web Vitals snapshots, and benchmark overlays to connect organic visibility and site quality with commerce outcomes.
Supported ecommerce platforms
Built to support the store platforms merchants run on.
Integrations connect Signals to analytics, ads, search, and catalog services. Supported ecommerce platforms are the store systems where Signals deploys, collects commerce context, and connects order and product data.
Shopify
Support storefront, checkout, catalog, and conversion reporting workflows for merchants using Shopify as their commerce platform.
BigCommerce
Support BigCommerce tracking, product catalog, conversion quality, and reporting workflows across the merchant journey.
Turbify
Support Turbify storefront templates, checkout scripts, My Account activity, product feeds, and account-aware tracking surfaces.
A signal layer for every point in the buying journey
Merchants do not just need one purchase pixel. They need a clean event trail from first product interest through repeat customer behavior.
Search and browse
Track product discovery, search intent, category context, list selections, and page engagement.
Product intent
Capture product views, variants, item metadata, add-to-cart actions, and cart changes.
Revenue path
Measure checkout starts, payment or shipping signals, order completion, value, currency, and transaction IDs.
Account behavior
Connect login, registration, order history, order detail, buy-again, and preference activity.
Reports and fixes
Use dashboards, diagnostics, feeds, and audits to tune campaigns, site experience, and data quality.
Merchant performance view
Last 30 days
Give operators a shared view of what is working.
Signals can surface the metrics merchants ask for every week: revenue trends, orders, ad spend, search visibility, product feed readiness, conversion path health, and whether the tracking layer is still trustworthy.
Analytics 4
Commerce behavior, revenue, orders, sessions, and conversion rates.
Google Ads
Spend, clicks, conversions, ROAS, and campaign performance.
Search Console
Queries, landing pages, CTR, impressions, and Core Web Vitals.
Benchmarks
Reference metrics
Reference metrics, saved comparisons, and coverage checks.
Designed for controlled rollout, not one-off snippets.
The app supports the operational discipline merchants need when tracking changes affect revenue reporting, ad learning, and catalog distribution.
1
Foundation
Configure
Set global behavior, storefront tracking, product context, account events, GTM routing, server APIs, and feed mappings.
2
Release
Publish
Generate and publish compiled browser, checkout, product search, and My Account scripts with a settings snapshot.
3
Quality Gate
Validate
Use event logs, debug payloads, API diagnostics, GTM audits, feed checks, and script comparisons to verify release quality.
4
Growth Loop
Optimize
Review dashboards, reference metrics, search data, ad results, and catalog health to guide merchandising and campaign decisions.
Ready for stronger commerce data
Make Signals the merchant's control layer for tracking, feeds, and performance reporting.
Use it to capture cleaner events, deliver stronger ad signals, keep catalogs current, monitor analytics, and troubleshoot tracking before campaign data goes sideways.