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Paid Search & Shopping

Paid search, engineered end-to-end.

Search, shopping, and the latest AI-driven campaign types run on custom automations, server-side conversions, and BI-fed bidding — not the out-of-the-box defaults every other agency ships.

80+
Awards
14
Markets
16+
Years
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Campaign Auction Engine

Win every auction.

auction-engine.sh
bidding
$ omnicliq gads --optimize
[bid] Loading 340 campaigns ✓ ready
[score] Quality Score analysis ✓ 8.2 avg
[rank] Ad Rank calculated ✓ top 3
✓ Pipeline complete
Bid
$2.40
Quality
8.2/10
Ad Rank
#1
Position
Top 1
0
Campaigns
0
Avg Quality
0
CPC Reduction

Beyond default management.

Paid search is the spine of most performance accounts — and the single biggest gap between an average agency and an award-winning one. Every account we run sits on infrastructure we built: server-side conversion pipelines that enrich events with first-party CRM data, custom bidding automations that adjust signals automated bidding cannot see on its own, and a BI layer that flags anomalies before they reach the weekly report.

The work across search, shopping, and AI-driven campaign types is the same discipline — bid strategy, feed engineering, audience signalling, creative rotation — but applied with an engineering mindset. Ad creative variants tested systematically. Product feeds restructured with custom labels routed into bidding. Automated campaign asset groups segmented the way humans think, not the way a template forces.

Early beta access and dedicated platform support come with top-tier status. What does not — for anyone else — is the custom attribution model, the server-side tracking, and the AI-driven account analysis layer that actually move the performance needle. Those we build in-house.

What makes the difference.

01

Server-side Conversion Engineering

Server-side tagging, enhanced conversions, and offline conversion imports enriched with CRM data. The cleanest signal automated bidding can consume — and the reason our accounts outperform.

02

Custom Bidding Automations

Automations we wrote ourselves, feeding signals automated bidding cannot see on its own: customer LTV buckets, stock levels, margin data, and seasonality curves pulled from the BI layer.

03

Feed Engineering Expertise

Product feeds engineered with custom labels routed into bidding. Asset groups structured by product economics, not by default templates. A discipline that has won more industry awards than any other in our roster.

04

Attribution That Works

Custom attribution models that account for cross-channel assist, offline conversions, and brand/non-brand interactions. Routed back into bidding so the platform spends where it actually produces revenue.

05

International Expansion Playbook

Cross-border scaling is a distinct discipline — we have built the playbook across clients now serving 140+ countries. Feed localisation, bidding per market, and intent mapping.

06

BI-Integrated Reporting

Dashboards that combine ad account data with revenue, margin, and LTV from your commerce stack. Decisions based on profit, not on surface metrics alone.

From audit to engineered account.

01

Audit

Every account starts with a deep audit: bidding strategy, conversion tracking, feed health, attribution windows, and the decisions humans are still making manually. We name the gaps before we name a plan.

02

Instrument

Server-side conversion pipelines, enhanced conversions with first-party data, and offline import. The infrastructure layer that every later bidding decision depends on.

03

Automate

Custom bidding automations layered on top of platform-native automated bidding. Feed logic routed into labels. Anomaly detection connected to alerting — and to the BI layer that closes the loop.

04

Scale

Winning campaigns replicated across markets, categories, and account structures. The playbook that moves a regional operator into European growth is the one we have run many times.

Politikos Shop — flagship fashion department store

Politikos Shop.

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

Common questions.

Top-tier platform status is roughly the top 3% of agencies globally — it is the floor, not the ceiling. What separates the accounts hitting industry-awards tier from the accounts staying average is the custom attribution, server-side tracking, and BI-fed bidding layer we build in-house on top of the platform defaults. That is the work almost no one else does.
Both. Most of our engagements start as takeovers — our audit identifies the bidding decisions, tracking gaps, and feed issues the previous team missed. Rebuilds happen when the structural problems outweigh the cost of starting clean. We recommend the approach honestly, not the one that generates the biggest first-month invoice.
Search campaigns respond within weeks once the signal quality improves. AI-driven campaign types need longer — typically 6-8 weeks to exit the learning phase with enriched conversion data. Our audit will tell you where the quick wins live and where structural work is needed before the account compounds.
We build custom attribution models that account for cross-channel assist, offline conversions, and brand/non-brand dynamics. The output feeds back into automated bidding via enhanced conversions and offline imports — so the platform is spending against signals that reflect your actual business, not a last-click view.
Yes — cross-border is one of our strongest disciplines. Our cross-border expansion playbook scales regional operators into European and international markets. Feed localisation, bidding per market, and intent mapping are all distinct workstreams we handle in-house.

Ready to run the account like this?

Let's talk about what a custom-engineered paid search account would look like for your business.

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