We decide what should be tested before money is spent.
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We deep dive your:
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brand and product, customer psychology, market and competitors, unit economics
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To build:
- a clear acquisition strategy
- buyer personas that actually convert
- a 10–15 page Creative Brief
- an Angle Matrix with 6–10 priority directions
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→ So every test is intentional, not random.

We control the inputs Meta learns from.
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We lead creative execution by:
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producing creative briefs for video (UGC,
mashups, founder direction)
producing high-performing static ads (bold headline, proof, us-vs-them,
features)
planning weekly creative batches (what goes live, what gets replaced, why)
iterating winners into spin-offs Meta can scale

→ So the algorithm always has fresh, structured inputs.

Clean structure. Disciplined execution. No noise.
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We handle:
campaign structure by geo (Drentin-style batching where relevant)
bid strategy and CPA guardrails
launch cadence and batch testing• cutting rules (no spend = kill, bad economics = replace, winners = iterate)
weekly optimisation sprints with a queued testing backlog

→ So scaling doesn’t rely on one hero ad and doesn’t fall apart.

You’re not hiring buyers. You’re buying accumulated pattern recognition.
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You get:
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strategy decisions informed by 7–9 figure brand data• clear “scale / hold / kill” recommendations
guidance on what to test next and what to stop wasting money on compounding learnings applied month over month

→ So performance improves systematically, not sporadically.