Services

Six services.Technical detail.

Each one starts with a free audit. Measurable operation from day one.

01

Campaign management

We operate campaigns as systems, not tasks.

The problem

Most campaigns lose 30-50% of budget to disorganized structure, duplicate audiences, and broken conversion signals. The result: blind optimization, slow decisions, CPA climbing every month.

How we solve it
  • 01Audit of existing structure and rebuild when needed
  • 02Validated conversion signals, wired to your MMP / data warehouse
  • 03Daily operation with weekly reporting and monthly forecast
Stack
Meta AdsGoogle AdsTikTok AdsLinkedIn Ads
Typical outcome
+$50Mad spend managed · cumulative
02

Data & Dashboards

One source of truth. Ten dashboards less.

The problem

Your data lives in Meta, Google, TikTok, MMP, GA4, and María's spreadsheet. Nobody has the full picture, everyone optimizes differently, reports arrive late and out of date.

How we solve it
  • 01ETL from every source to a central warehouse (BigQuery / Supabase)
  • 02Data modeling with consistent dimensions across channels
  • 03Operational dashboards in Looker Studio or Metabase with automated alerts
Stack
BigQueryLooker StudioMetabaseSupabase
Typical outcome
Real-timerefresh time
03

AI automation

Agents that report, optimize, and decide.

The problem

Your team spends 60% of its time on routine tasks: pulling reports, flagging anomalies, adjusting bids, generating copy variations. That time doesn't compound.

How we solve it
  • 01Basic workflows: reports, platform sync, notifications
  • 02Intermediate workflows: rule-based optimization, budget rebalancing
  • 03Autonomous multi-step agents with Claude API + n8n + Make
Stack
Claude APIn8nMakeCustom agents
Typical outcome
24/7autonomous workflows
04

MMP management

Attribution that survives iOS 14 and whatever's next.

The problem

Without precise attribution, every bid decision is a bet. With iOS 14, SKAN 4, and third-party cookie deprecation, keeping attribution functional requires continuous technical expertise.

How we solve it
  • 01Full setup: SDK integration, postbacks, in-app events mapped
  • 02Validation against primary sources (Meta, Google) for < 2% discrepancy
  • 03Continuous maintenance as platforms change
Stack
AppsFlyerAdjustSingularBranch
Typical outcome
Certifiedcertified in 4 MMPs
05

MMP migration

From one MMP to another. No data loss.

The problem

Migrating from Adjust to AppsFlyer (or any combination) typically means 2-4 weeks of degraded data, blind decisions, and sometimes permanent loss of historical attribution.

How we solve it
  • 0114-21 day parallel run with both MMPs live
  • 02One-to-one event mapping, postback verification per network
  • 03Cutover only when discrepancy is < 2%, with rollback plan ready
Stack
AppsFlyer ↔ AdjustAdjust ↔ SingularParallel runValidation
Typical outcome
12+migrations completed
06

App development

MVPs built with AI. Weeks, not quarters.

The problem

Traditional timelines (3-6 months for an MVP) are no longer competitive. The startups that win iterate in weeks. The difference: well-operated AI-assisted development.

How we solve it
  • 01Discovery + spec in 1 week (with a prior technical audit)
  • 02Build in 3-4 weeks using Next.js, React Native, Supabase, Claude Code
  • 03Deploy + handoff to your team (or ongoing operation if you prefer)
Stack
Next.jsReact NativeSupabaseClaude Code
Typical outcome
MVPMVP in production

Ready for a measurable operation?

Free audit. No commitment. Response within 24 business hours.

Talk to an expert