What I delivered, with the number and the period
Paid media and systems in one place. Every result carries the window it happened in, because a number without a period is not a fact.
I name a client when the contract allows it, and never next to their spend or their account data.
Tell me your sector. I will walk you through the nearest case, with the numbers and with what did not work on the way.
Six cases, each with its window
From loss to growth in an online store
963%ROAS, with BRL 77k revenue in the month, up 267%
After six months of losses: full rebuild of the campaign structure, advanced audience work and custom tracking.
From zero to break-even
+291%revenue, breaking even in under 90 days
A brand selling only on Amazon opened its own channel, with Meta and Google synchronised by stage of the journey.
Revenue recovery in 30 days
+40%revenue, with sales up 24% and average order value up 13%
Campaigns rebuilt around interest and behaviour, funnels per product category, and abandoned-cart remarketing.
Acquisition through geographic targeting
+50%in sales within the month
Prospects mapped by region, geotargeted campaigns with sector-specific messaging, and lead scoring by likelihood to close.
Lead generation with Performance Max
CPLfalling, with positive ROI in the first month
Performance Max with assets per segment, CRM integration to track enrolment, and optimisation on lead quality.
The funnel for three business units
8xROAS, with marketing cost 55% lower across the year
Sole media buyer for all three units, from campaign to landing page, with AI lead qualification.
Nine projects running
Each one told by the problem it solved. Client names stay out where account data is involved.
The client pipeline, from contract to live operation
Contract, signature, implementation billing, activation, four briefings, versioned strategies, proposal, and client check-in with memory.
New-account audit in one command
An orchestrator and seven collectors reading Meta Ads, Instagram, ad creative, the website, Google Business Profile and Google Search.
Daily ETL from Meta and Google
Own database, performance alerts, and an optimisation queue approved through an API, with an agent that answers over chat.
Order agent for a food delivery business
Takes the order over WhatsApp, confirms it and passes it to the kitchen, so nothing is lost at peak time.
Booking pipeline and seasonal campaigns
New Year and high season with the whole operation connected, from campaign to confirmation.
The content machine behind this operation
36 sources collected, weekly topics proposed, copy and artwork per network, approval over Telegram, then publishing.
Lead scoring that learns
Scoring trained on real behaviour, weighing more than 20 variables to prioritise who is most likely to convert.
Chat conversations attributed to the ad
Click-to-WhatsApp tracking: conversations up 462.16% and cost per message down 81.34%.
Campaign metrics delivered over chat
Reports configurable per group, with automatic alerts when a metric drops below target.
Which of these looks like yours
Tell me your sector and your sales model. I will open the closest case with the name, the numbers and what went wrong on the way, which is the part that does not belong on a public page.
No client names next to numbers here. On a call, with the right context, I open them.