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Paid Social

Paid social where engineering meets creative.

Social accounts running on server-side conversion APIs with high event match quality, first-party audience enrichment, and AI-driven campaigns tuned on signal we control — not on the out-of-the-box defaults.

80+
Awards
14
Markets
16+
Years
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Audience Intelligence

Target with precision.

audience-builder.sh
building
$ omnicliq meta --build
[build] Lookalike audiences ✓ 12M reach
[layer] Interest stacking ✓ 340M pool
[refine] Exclusions applied ✓ optimized
✓ Pipeline complete
Broad 2.1B
Interest 340M
Lookalike 12M
Custom 850K
Retarget 45K
0
Audience Layers
0
Reach
0
ROAS

Signal quality over creative testing volume.

The privacy-era shift changed the paid social game, and most agencies still run these accounts like nothing happened. We do not. Every account we run sits on a server-side conversions pipeline we built — enriched with hashed first-party data, routed through our BI layer for validation before events reach the platform. Event match quality scores stay in the high 8s and 9s, where AI-driven campaigns actually work.

On top of the signal layer sits the structural work: AI-driven shopping campaigns that the algorithm can actually optimise because the conversion data is clean. Custom audiences built from first-party LTV segments, not just 180-day site visitors. Creative testing disciplined by our own framework — because A/B testing without statistical rigour is just opinion.

Top-tier status grants early beta access and dedicated support. What moves the account is the server-side conversion engineering, the first-party data layer, and the attribution work that routes offline outcomes back into platform bidding. Work that no out-of-the-box tool does.

What makes the difference.

01

Server-side Conversion API Engineering

Server-to-server conversion pipelines with enriched first-party data and event match quality in the high 8s and 9s. The signal quality the algorithm needs to deliver the performance your brief promises.

02

AI-Driven Shopping Campaign Mastery

Automated shopping campaigns structured around product economics and audience segmentation that the algorithm can actually exploit. Not "set it and forget it" — tuned weekly against BI-layer feedback.

03

First-Party Audience Strategy

Custom audiences built from LTV buckets, stock signals, and margin tiers — not just retargeting lists. The audiences that move automated bidding toward your most valuable customers.

04

Creative Testing Discipline

Creative rotation backed by statistical testing frameworks, not vibes. Our BI dashboards flag winners with confidence, and the rotation schedule reflects real performance, not recency bias.

05

Attribution Beyond the Platform

Offline conversions imported via server-side API. Cross-channel attribution that accounts for this channel's assist role in journeys that convert elsewhere. Budget decisions made on full funnel view.

06

Privacy-First Measurement

Designed for the post-cookie, post-tracking-prompt world from day one. Hashed first-party data, server-side events, consent-aware pipelines. Compliance built in, performance not compromised.

Building the account.

01

Audit

Event match quality score, server-side conversion health, audience quality, creative performance, and the bidding decisions the platform is making with the signal you are giving it. We start with honest measurement.

02

Instrument

Server-side conversion API deployment or upgrade. First-party data layer. Enhanced conversions and offline imports. The signal layer gets fixed before the bidding layer.

03

Activate

AI-driven campaigns structured against real audience and product data. Creative testing disciplined. Weekly bid and budget decisions routed through the BI layer.

04

Scale

Winning audience-creative combinations replicated across placements, markets, and language variants. International expansion where the cross-border playbook is proven.

Politikos Shop — flagship fashion department store

Politikos Shop.

+231%
Revenue
+225%
Transactions
+230%
Ad Spend
2
New Markets
Read full case study

Common questions.

Because browser-side tracking has been systematically degraded by privacy changes, and AI-driven campaigns depend on conversion signal quality. Server-side conversion tracking with high event match quality is the difference between the algorithm guessing and actually optimising. Most accounts we audit have server-side deployed but match quality in the 6-7 range — technically working, practically broken.
Yes — automated shopping campaigns are a core discipline, but only when the account has the signal quality to support them. We audit the conversion layer first; running AI-driven campaigns on low-quality data produces bad decisions fast. When the signal is clean, these campaign types are among the most effective the platform ships.
First-party data, server-side events, and custom attribution models that account for this channel's assist role across other channels. We do not pretend platform-reported conversions tell the full story — we build the measurement that does.
Creative strategy, testing frameworks, and rotation schedules — yes. Full creative production typically stays with your in-house team or a creative partner, and we brief the work based on what the account data says is performing.
Yes. Our server-side implementations respect consent state, hash PII with SHA256 before transmission, and integrate with consent mode frameworks. Privacy compliance is a baseline, not a bolt-on — and it happens to produce better data quality.

Ready to run paid social like this?

Let's talk about your conversion tracking health, automated campaign structure, and the signal quality behind the account.

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