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Practice / PAID-ADVERTISING

Paid advertising and ad targeting

Audience targeting, attribution wiring, landing page optimization, and the performance reporting your media team will not get from a generic dashboard. For brands that already spend on paid and want it instrumented.

Looking for a conversion rate optimization (CRO) developer, a Meta CAPI implementation consultant, a server-side conversion API developer, or a GDPR-compliant tracking consultant? Paid media is most often broken on the engineering side, not the creative side. Wrong attribution, leaky tracking, slow landing pages, no segment-level performance signal. We fix the technical layer so the creative team can actually iterate.

Our paid practice covers audience build (event taxonomy, custom audience exports, lookalike inputs), attribution wiring (Meta CAPI, Google Enhanced Conversions, TikTok Events API, LinkedIn Conversions API; consent-aware tracking under GDPR), landing page optimization (Core Web Vitals, conversion path simplification, A/B test infrastructure), and performance reporting (segment-level dashboards your media team can read without exporting CSVs).

This page links to engineering case studies that touch the conversion stack. Details on advertising campaigns themselves are released only on a per-engagement basis after a call.

Common questions

What does conversion engineering for paid media include?
Conversion engineering means building the technical layer behind paid: event taxonomy that maps to business goals, server-side conversion APIs (Meta CAPI, Google Enhanced Conversions, TikTok Events API), consent-aware tracking under GDPR, attribution windows tuned per channel, and a reporting layer that surfaces segment-level performance. Done right, the media team gets clean data to iterate on; done wrong, every creative test is contaminated by tracking error.
How do you fix leaky attribution?
Leaky attribution usually has three sources: client-side tracking blocked by browsers and consent banners, mismatched event definitions across platforms, and double-counting between channels. We fix it by moving conversions to server-side APIs, defining a canonical event schema with a single source of truth, and routing each conversion to one attribution window per platform. Verifiable improvement is measured by reconciling platform totals to the source of truth, not by trusting platform dashboards.
What does landing page optimization look like for paid traffic?
Landing page optimization for paid means budget-tight performance (LCP under 2.5s, INP under 200ms), conversion path simplified to one decision per screen, A/B test infrastructure that does not double-count, and a copy framework that maps to ad creative. We build the page on a stack the team can update without engineering (often a static site with a tight CMS), and we instrument every interaction so the test can call winners on actual conversions, not vanity metrics.
How do you handle GDPR and tracking consent on paid pages?
GDPR-compliant paid tracking requires a consent banner that blocks all non-essential tags by default, a server-side layer that respects the consent state on every event, a clear privacy notice listing every advertising vendor, and an audit log of consent decisions. Server-side conversion APIs let you keep measurement where consent is given without browser-blocked pixels. Done correctly, you maintain attribution for consenting users without violating the rules for non-consenting ones.

Selected work in paid advertising and ad targeting

Tell us where paid is leaking.

Tracking, attribution, landing performance, segment reporting, or a clean rebuild of the conversion stack. We reply within one business day.

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