Marketing agencies hire me to turn disconnected client reporting into one Looker Studio system built for faster, better decisions.
I create agency-wide rollups, executive KPI scorecards, client and campaign drilldowns, budget pacing, and exception reporting that makes it immediately clear what is working, what is slipping, and where the team needs to act.
The proof
→ Built a cross-platform reporting system used across 100+ client accounts
→ Saved paid media managers approximately 10 hours per week
→ Reduced monthly reporting by approximately 5 hours and quarterly reporting by approximately 15 hours
What I build
→ Executive KPI scorecards for ROAS, CPL, CAC, pipeline, revenue, and other critical performance metrics
→ Agency-level rollups with drilldowns by client, channel, campaign, and timeframe
→ Cross-channel reporting across paid media, SEO, website, lead, and sales performance
→ Budget pacing and exception reports that surface underperforming accounts before they fall through the cracks
→ Lead quality and pipeline reporting that connects marketing activity to downstream sales results
What makes my reporting systems different
→ Decision-first design: the headline “so what” KPIs come first, followed by the context and root-cause analysis needed to act
→ Built around your team: every page reflects how agency leaders, account managers, and channel specialists actually review performance
→ Performance in context: prior-period and prior-year comparisons are built directly into the KPI scorecards
→ Flexible trend analysis: move between daily, weekly, monthly, quarterly, and yearly views without rebuilding charts
→ The next question is already answered: drilldowns, diagnostics, and exception reporting are designed around the questions that inevitably come up during performance reviews
→ Consistent reporting at scale: shared KPI definitions and reusable structures keep reporting aligned across dozens or hundreds of client accounts
Common data sources
GA4, Google Ads, Meta Ads, Google Search Console, HubSpot, CallRail, AgencyAnalytics, Google Sheets, and BigQuery.
I use the right connection strategy for the reporting system—native connectors for speed and simplicity, established third-party connectors where appropriate, and BigQuery when the data needs to be centralized, modeled, or scaled across multiple sources and client accounts.
Jamie S. earns an estimated $6.4k/mo. That's 4.3× the typical freelancer and more than 99.67% of everyone we track.
Best fit
→ Marketing agencies that want an ongoing reporting partner or a clearly scoped reporting system their team will actually use every week
Message me with your KPIs, data sources, and current reporting process. If you already have a job posted, invite me to apply and I’ll outline how I would approach the reporting system.