You’re paying for conversions that don’t train the algorithm.
View content, generic leads, micro-events and noisy signals dilute your optimization. The platform hits the goal but revenue doesn’t move.
Track Pillar · Ad Platform Signal Quality
Your bidding is only as smart as the signals you send it.
Platforms can't optimize what they can't see. We audit and repair the conversion signals going into Google Ads, Meta, LinkedIn, TikTok and more, so your budgets train algorithms instead of confusing them.
- Find missing, duplicated or low-quality conversion events.
- Fix parameters, identity and consent issues that kill signal.
- Give bidding models the cleanest possible data to learn from.
Ideal for teams already spending across multiple paid channels.
Why signal quality matters
The cheapest way to improve performance is to fix the data you already send.
Before you redesign funnels, rebuild creative or triple budgets, it’s worth asking one question: are we even training the algorithms properly? Most teams aren't.
Server-side tracking made your setup more fragile, not smarter.
Events double-fire, deduping is misconfigured, or IDs don’t line up. Platform UIs look healthy, but the underlying signals aren’t trustworthy.
Consent and privacy changes quietly broke your data.
CMPs, Consent Mode and regional rules changed how hits are sent. Nobody fully mapped what that did to signal quality per platform.
Each platform has different requirements—and you’re guessing.
Enhanced conversions, CAPI, offline conversions, lead quality signals… it’s easy to miss critical pieces for each platform’s algorithm.
What the signal quality audit covers
A platform-by-platform view of what you're really sending.
We inventory signals across GA4, Google Ads, Meta, LinkedIn, TikTok, and any other major platforms you use—then show you where quality is being lost and what to fix first.
Event & conversion wiring
Are you sending the right signals at the right time?
- Event names and parameters mapped against your funnels and KPIs.
- Conversion definitions per platform (and GA4) reviewed for noise.
- Micro-conversion vs revenue-driving events separated and documented.
- Floodlight-style duplication and double-firing checked across web/server.
Identity & match quality
Can the platforms connect your events to real people?
- User identifiers (email, phone, fbp/fbc, click IDs) mapped and validated.
- Enhanced conversions and CAPI payloads checked for completeness.
- Offline conversions and CRM events reconciled where applicable.
- Match rate diagnostics and recommendations per platform.
Consent, privacy & policy
Are privacy controls silently killing your signals?
- CMP and Consent Mode behavior tested across key markets and flows.
- Data use restrictions and limited-data modes checked per platform.
- Policy-sensitive events (health, finance, kids) flagged and reviewed.
- Recommendations to stay compliant without going blind.
Server-side & advanced setups
Is your "upgrade" introducing more risk than value?
- Server-side GTM / CAPI setups checked for dedupe and identity issues.
- Proxying, header manipulation and IP masking behavior verified.
- Latency, retries and error logging standards reviewed.
- Platform-specific best practices documented for your stack.