Google Ads
Search, Performance Max, Shopping, and YouTube — engineered around lead intent and search behaviour.
Google Ads → Create
Paid Ads That Actually Convert
At MarchiteQ, we optimize the whole journey, not just the paid ad. Tracking, signals, pages, and the full funnel working as one, so the algorithm can actually do its job.
Channels We Architect Strategy For
YouTube Ads
Video and Demand Gen campaigns built for brand awareness — a core layer in omnichannel marketing when you need reach, story, and frequency across the funnel.
YouTube Ads →
AI Ads
ChatGPT and AI-powered ad placements are the newest paid channel, and most businesses are not in it yet. We architect AI Ads for brands that want first-mover advantage in the fastest-growing advertising surface in history.
AI Ads →
Meta Ads
Facebook and Instagram campaigns built on creative strategy, creative testing frameworks, and first-party data activation.
Meta Ads →
LinkedIn Ads
B2B demand generation through precise professional targeting — for companies with complex sales cycles and high deal values.
LinkedIn Ads →
Amazon Ads
Product-level profitability strategy for brands competing on the world's largest purchase-intent platform.
Amazon Ads →Why Most Paid Advertising Fails
Paid advertising fails for three consistent reasons:
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No strategy layer.
Campaigns are set up ad-hoc. Ad accounts are built reactively, launching without a clear thesis on audience, funnel stage, or competitive positioning.
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No data architecture.
Conversion tracking is incomplete or broken. Decisions are made on vanity metrics instead of revenue-attributed data.
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No fitting landing page.
The landing page makes users think or does not lead to the desired outcome. No real funnel is present.
At MarchiteQ, paid ads are never a standalone tactic. They are one layer inside a full marketing system: Create → Measure → Scale → Automate.
What a Paid Ads Strategy Actually Is
A paid ads strategy answers six questions before any campaign goes live:
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Who are we targeting?
Defined audience segments with behavioral, firmographic, and intent data
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Where are they in the funnel?
Awareness, consideration, or conversion — each requires a different approach
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What is the message?
Value proposition mapped to audience pain points and buying stage
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What is the offer?
Lead magnet, trial, demo, direct purchase — designed for the platform and audience
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How will we measure success?
Revenue-attributed KPIs, not just ROAS or CTR
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How will we scale it?
Defined thresholds for budget scaling, creative refresh, and audience expansion
Without answers to all six, you don't have a strategy. You have a setup.
Data-Driven Performance Marketing
The Digital Marketing Strategy
Phase 1: Audit & Potential
Before recommending a single channel, we audit your existing account structure, historical performance, conversion tracking integrity, and competitor positioning. This tells us what's working, what's broken, and where the fastest wins are.
Phase 2: Strategy
We design your paid media blueprint: channel allocation, funnel architecture, audience structure, bidding strategy, and measurement framework. This is the document that drives every decision that follows.
Phase 3: Campaign Infrastructure
Campaigns are built to the strategy spec. Account structure, naming conventions, conversion tracking, and attribution are set up with future scale in mind.
Phase 4: Optimisation Loops
Performance data flows back into the strategy. Weekly and monthly optimisation cycles are structured, not reactive. Every change is hypothesis-driven.
Phase 5: Scale Triggers
We define in advance what performance signals unlock budget increases, new channels, or creative expansion. Scale is systematic, not spontaneous.
This Is Built For You If…
You've invested in paid media but something isn't clicking — or you're ready to scale with a clear link to revenue, not guesswork.
Typical situations we see:
- 6+ months running, plateauing — Your ad account has been running for 6+ months but results are plateauing
- Serious spend, no strategy on paper — You're spending €5,000–€100,000+ per month and don't have a documented strategy
- Campaigns ran, thinking never explained — You've worked with agencies that "just ran the campaigns" but never explained the thinking
- Scaling with revenue alignment — You're scaling a business and need paid media that connects to your revenue model
- Understand the data and act on it. — You want data ownership, not a black box you're locked out of
Frequently Asked Questions About Paid Ads
What is a good paid ads strategy?
A good paid ads strategy defines who you're targeting, what message you're delivering, which platforms you're using, how you're measuring performance, which funnel users enter, and how you intend to scale. It is a holistic view of how the ad platform's algorithm works, how users behave, and what messaging resonates with your target group.
How long does it take to see results in paid ads?
Paid ads work in three phases. The first phase is testing and learning what works for you and the algorithm. Phase 1 usually takes 4–6 weeks. After Phase 1, you enter Phase 2: optimisation for efficiency — building a predictable, stable revenue flow. In Phase 3, you are ready to scale.
What's the difference between each ad platform?
Google Ads is often the most efficient and straightforward channel. Meta Ads thrives on creativity and resonance, so efficiency can take longer due to more diverse variables. Amazon Ads is a closed ecosystem dominated by its algorithm. LinkedIn Ads is a value-driven B2B platform, while TikTok leads in fast-paced B2C attention. Reddit Ads needs extra care and context.
When should a brand choose Meta Ads?
For most companies, Meta Ads works as a supporting channel for brand recognition, multi-touch messaging, and trust building. An active social media account or existing following is not required for it to perform.
Ready to Look at Your Ads Together?
Let's understand how your ads are working today so we can see what's possible next.