Dashboards

Sample Looker Studio and Power BI dashboards built on synthetic data modeled after real performance-marketing programs I’ve run — geo-based incrementality testing, multi-channel spend/CPA tracking, and MER-driven budget pacing.

54%

OTT incremental lift, validated via geo holdout test

$6M+/mo

Media spend managed across channels

Paid search program growth, $250K → $1M+ monthly

<5.0x

MER ceiling protected through a deliberate budget pullback

Google Looker Studio

Channel Performance & Incrementality

Live report · updates on refresh

A daily view across Paid Search, CTV/OTT, Paid Social, and Direct Mail — spend, CPL, CVR, and MER side by side — plus a geo-holdout incrementality read-out modeled on an OTT-vs-streaming-audio test I ran, comparing test and holdout DMA groups to isolate true lift from each channel.

Spend / CPL / CVR / MER by channel 90-day trend Test vs. holdout lift by DMA group

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Paid Search CTV / OTT Paid Social Direct Mail

Microsoft Power BI

Budget Pacing & MER Discipline

Live report · updates on refresh

A monthly pacing view — planned vs. actual spend, revenue, and MER against a target ceiling — modeled on a real budget pullback I managed to keep MER under 5.0x during a soft-lead period, then ramped spend back up as lead quality normalized.

Planned vs. actual spend MER target vs. actual Revenue trend

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Planned spend Actual spend MER actual vs. target