Automation and Reporting for Marketing Teams

Remove repetitive tasks and make better decisions with real-time data. Connected dashboards, cross-tool workflows and custom scripts that free your team.

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Conversions, last 7 days?
Same window · Same property · Different sources
G
Google Ads
Conversions (in-platform, last-click)
0
M
Meta Ads
Conversions (7-day click + 1-day view)
0
A
GA4
Key events (data-driven, all sessions)
0
✓Reconciled
Unique buyers, server-side, dedup'd across sources
0
Same definition → ROAS, CAC, LTV
precision_manufacturing
What I find on day one

From hours of copy-paste to actionable real-time data

Marketing teams that spend whole days on reporting that could run in hours. Data scattered across platforms with no consolidated view, manual errors creeping into reports and decisions arriving too late.

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Dashboards connected to every platform

Looker Studio + Google Sheets + APIs to give you a single source of truth. No duplicated tabs, no scattered files.

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Workflows that free up the team

Zapier, Make and Apps Script automate the repetitive: lead routing, CRM sync, alerts, report generation and exports.

5-15h
Weekly hours recovered

Average time your team stops spending on reporting and gets back to strategy.

arrow_outward
GGoogle Ads · raw
Spend$24,180
Conv.186
CPA$130
MMeta Ads · raw
Spend$18,420
Leads241
CPL$76
AGA4 · raw
Sessions42,108
Conv.312
integration_instructions

What I automate

From multi-channel performance dashboards to Google Ads optimisation scripts. If you do it manually more than once a month, I can probably automate it.

Looker dashboardsAutomated reportsLead routingCRM syncGoogle Ads scriptsSlack alerts

The automation process

From understanding your manual processes to documentation and maintenance. Four phases so automations outlive tool changes.

01

Discovery

We map current processes, tools and where time disappears. I identify opportunities and prioritise by impact vs. effort.

02

Design

Detailed proposal of what to automate, which tools to use and how data will flow. Explained clearly, no unnecessary jargon.

03

Implementation

Development, exhaustive testing, validation with real data and adjustments based on feedback. No surprises in production.

04

Documentation

Every automation is documented so your team can understand and maintain it without depending on me. Ongoing support for evolution.

A few numbers

  • schedule

    5-15 hours/week freed

    Average time teams recover after automating reporting and data consolidation.

  • sync

    360° stack

    Connections across Google Ads, Meta Ads, LinkedIn Ads, GA4, HubSpot, Brevo, Looker Studio and more.

  • task_alt

    Zero manual errors

    Data lands in the dashboard with no human steps in between. What you see is what it is.

~/clients/automation, run.log
recomendación verificada · linkedin
Marc Antoni Macià
Marc Antoni Macià · 1er
Founder at Novicap, Chairman @ Kalma
7 Jan 2026, Pau's client

If you're looking for someone who combines strong performance marketing expertise with ownership, rigor, and a collaborative mindset, Pau is an excellent choice.

full recommendation
reconcile --source=google,meta --target=looker
result, automation
15h/wk
Recovered team time
marketing-ops · reporting · multi-channel
listo

Is automation a fit for your team?

Two honest columns to avoid surprises.

Probably yes if...
  • check_circleYour team spends weekly hours on repetitive reporting or data consolidation
  • check_circleData lives across multiple platforms and nobody has a unified view
  • check_circleIt's frustrating that decisions arrive late because data isn't up to date
  • check_circleYou want your team to spend time on strategy, not exporting CSVs
  • check_circleYou have a modest budget but high return potential in hours recovered
Probably no if...
  • cancelYour processes change every few weeks and don't warrant automating
  • cancelYou're unclear on which metrics actually matter
  • cancelYou want a magic solution in a week without time to define requirements
  • cancelYour data volume is small and maintenance cost exceeds the savings

Frequently asked questions about Automation

What can be automated in marketing?

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Practically any repetitive task: campaign reports, dashboard updates, alerts on key metrics, syncing between tools (CRM, email, ads), budget management, programmatic optimisations, data exports, client report generation, and more. If you do it manually more than once, it can probably be automated.

How much time do I save with automated dashboards?

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It depends on your situation, but saving 5-15 hours a week on reporting and manual analysis is common. A marketing team that used to spend 2 days a month on reports can drop to 2 hours of strategic review. The hours saved go back into optimisation and strategy.

What tools do you use?

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Mainly Zapier and Make for automations, Looker Studio and Google Sheets for dashboards, Google Apps Script and Python for custom scripts, and platform APIs for advanced integrations. I pick based on complexity, budget and project needs.

Do I need technical knowledge?

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No. I handle the technical side: design, implementation, testing and maintenance. You only need to define what you want to achieve. I document everything clearly so your team can understand and use the automations without depending on me day-to-day.

Does this approach fit what you need?

If yes, drop your details and I'll review your case personally. No commitment.

  • check_circleSnapshot of your current marketing setup
  • check_circleRoadmap of actions and goals
  • check_circleExecution and coordination of projects