Rollout Marketing β€” Strategy Dashboard

Offline Β· Self-contained Β· No server required

Predict a client's monthly demand

7 Climate Clusters β€” covering all 50 states + DC

Each cluster's monthly demand curve is the average of constituent states' 5-year Google Trends data.

Per-Client Analysis β€” Pacing & Forecast

For each client: the most recent completed year (model validation) and the current year's YTD pacing + annual forecast.

Cohort summary β€” active clients

Pick a client for detail

State Explorer

Rollout Cohort Benchmarks

Tier-level benchmarks

Realistic ROAS expectations

Per-client snapshot

Channel ROAS β€” Meta vs Google vs SEO

πŸ” The blended ROAS hides channel-specific patterns

Growing tier ($1-2M) blended 3.3x = Meta 2.6x + Google 4.1x. Two of three clients are losing money on Meta specifically while Google works for them. Fix the channel mix and blended ROAS jumps without new investment.

Channel ROAS by tier

Per-client channel detail

Recent Performance β€” Actual vs Predicted

Year-to-date actuals vs the seasonality model's prediction. Projects an annual run-rate based on current pace and predicted distribution.

Per-client time series β€” monthly leads + spend

πŸ”„ Google Algorithm Impact (Marβ†’Apr 2026 shift)

πŸ“‰πŸ“ˆ What changed

Between Mar and Apr 2026, the cohort saw clicks drop ~54% and CPC nearly double β€” but conversions HELD and conversion rate roughly doubled. Google's auction is funneling spend toward fewer, higher-intent users. The headline numbers (clicks, CPC) look bad. The bottom line (conversions, CPA, ROAS) is intact or better.

Cohort-wide Google funnel β€” clicks vs conversions vs conversion rate

All client Google spend aggregated by month. Notice the divergence starting Apr 2026: clicks line declines while conversion-rate line rises.

The same data β€” per-client view

Cohort-aggregate funnel by month