Your Ad Budget Is Set.
Your Timing Is Not.
Marketing budget optimization, timed to the Fed.
Fed liquidity leads market risk appetite by 8 to 12 weeks. WhenBRRR reads 15 FRED data series and classifies the regime so you can push or pull spend before the window closes.
What Is WhenBRRR?
WhenBRRR is a marketing budget optimization tool that reads Federal Reserve liquidity data and converts it into timing signals for ad spend decisions. The platform computes a Money Tide Index (MTI) from 15 FRED data series, including M2 money supply, the Fed balance sheet (WALCL), Treasury General Account, and reverse repo balances. These upstream liquidity indicators move ad auction clearing prices 8 to 12 weeks before CPM changes appear in campaign dashboards.
The MTI classifies the current macroeconomic environment into one of four regimes: High Tide, Tailwind, Neutral, or Low Tide. Each regime triggers deterministic, channel-specific budget recommendations. WhenBRRR is built for CMOs and VP Marketing at companies managing $25K to $500K or more in monthly paid media.
Signal data sourced from Federal Reserve H.4.1 releases and FRED economic data series, updated weekly.
The causal chain runs from Fed policy to financial conditions, to consumer credit availability, to advertiser revenue, to ad budgets, to CPM clearing prices in real-time bid auctions. WhenBRRR's MTI identifies the leading edge of that chain -- weeks before the effect reaches campaign dashboards.
IAB quarterly revenue data confirms the pattern across multiple cycles: internet ad revenues fell in 2001-2002, contracted 3.4% in 2009, and in 2025 the IAB revised its full-year forecast down 1.6 percentage points explicitly citing macroeconomic tightening -- in each case tracking directly to changes in financial conditions.
Enterprise-Grade Security
Your data is protected by industry-leading security standards
Here is what the signal flagged. Here is what it was worth.
Fed Reverse Repo Fell Below $300B
September 2025: first time in 3 years. The MTI flagged the compression window before it appeared in ad auction data.
Google Ads B2B SaaS CPMs Dropped 18%
Within 5 weeks of the repo facility move, CPMs compressed across B2B SaaS verticals on Google Ads.
Teams That Pushed Spend Captured Q4 Pipeline at Q2 Prices
The window lasted roughly 5 weeks. CMOs who moved budget into the compression captured pipeline before CPMs normalized.
See What Regime-Aware Timing Saves You
Fed liquidity cycles create 3 to 4 CPM compression windows per year. Teams that time spend to these windows pay less per impression during favorable conditions. Enter your monthly budget to see the projected impact.
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Solutions Tailored to How You Operate
Whether you're scaling a SaaS startup or managing enterprise retail campaigns, WhenBRRR adapts to your market dynamics.
B2B SaaS
Optimize MQL spend timing with MTI signals. Scale paid acquisition when market liquidity favors buying intent.
E-commerce
Time your seasonal campaigns with precision. Know when consumers have spending power before your competitors.
Financial Services
Navigate volatile markets with confidence. MTI signals align your marketing spend with institutional money flows.
Retail & CPG
Sync marketing with consumer spending cycles. Maximize share of voice when purchase intent peaks.
When to Increase Marketing Spend Based on Economic Data
Traditional budget allocation is reactive. WhenBRRR gives you a forward-looking signal based on actual Federal Reserve liquidity - the same data Wall Street uses.
Catch Market Turns 2 Weeks Early
Our Money Tide Index (MTI) processes M2 money supply, Fed balance sheet, and 12+ macro indicators in real-time - before they hit downstream markets.
- Live FRED API integration (15-min updates)
- 4 distinct market regimes detected
- 12-week forward forecasts with confidence bands
Every Dollar Auditable & Reproducible
Same inputs → same outputs. Every recommendation is explainable to your CFO, auditable by compliance, and reproducible by your team.
- 8-channel optimization across all paid/organic
- 3 risk postures (Conservative, Balanced, Aggressive)
- Industry-specific weight adjustments
Enterprise-Ready From Day One
Built for regulated industries. Blockchain-style audit logging with SHA-256 chaining, RBAC, and full decision explainability for SOC 2 audits.
- Immutable SHA-256 audit chain
- SOC 2 Type II certified
- CFO-grade PDF reports with decision lineage
How Fed Liquidity Affects Ad Costs: Not Sentiment, Not Seasonality
Detect Liquidity Shifts Early
WhenBRRR reads 15 FRED data series and detects liquidity compression 8 to 12 weeks before it reaches ad auction prices.
Classify the Regime
The signal classifies the current environment: expansion, compression, or neutral. Percentile-based, deterministic, auditable.
Push or Pull Before CPMs Move
You get a clear recommendation: increase spend into the compression window, or pull back before costs rise.
Choose the plan that fits your team
Start free, upgrade when you need more. All plans include a 30-day money-back guarantee.
Starter
For small teams getting started with market intelligence
- MTI Dashboard Access
- Daily Regime Alerts
- 3 Team Members
- Email Support
Growth
For growing teams that need full budget optimization
- Everything in Starter
- Budget Allocator + AI Recommendations
- HubSpot & Salesforce Integration
- 10 Team Members
- Priority Support
Enterprise
For large organizations with custom requirements
- Everything in Growth
- Unlimited Team Members
- SSO / SAML Authentication
- Custom Integrations & API
- Dedicated Success Manager
Frequently Asked Questions About Marketing Budget Timing
Research: How Liquidity Cycles Affect Marketing Spend
Data-driven analysis for marketing leaders and media buyers
The Fed Liquidity Cycle: What Every CMO Should Watch in 2026
Four Fed-driven liquidity regimes determine ad auction prices. Here is the playbook CMOs need for 2026.
CPM Compression and Money Supply: The Correlation Every Media Buyer Ignores
M2 money supply changes predict CPM movements 8-12 weeks ahead. The data is public. Most teams are not watching it.
When to Cut Ad Spend: A Data-Driven Framework for Downturns
Most CMOs cut ad spend reactively. This framework uses macroeconomic leading indicators to make the call before the downturn hits.
The signal is live. The question is whether you see it before your competitors do.
WhenBRRR reads 15 FRED data series and classifies the current market regime. Deterministic. Auditable. No black box.
379 Weeks of Federal Reserve Data. 29 Regime Transitions. Exposed.
WhenBRRR's signal has been validated against 379 weeks of Federal Reserve economic data spanning January 2019 to April 2026. The validation pipeline pulled 21 FRED series, replayed the MTI formula, extracted 29 regime transitions, and scored each transition against six macro indicators at three forecast horizons. The result: 262 scorable observations with a 66% overall hit rate, rising to 72% at the 8-week horizon.
In expansion regimes (High Tide and Tailwind), prediction accuracy reaches 75.5% and 71.0% respectively. The signal's strongest performance is on unemployment direction (81.5% hit rate) and money supply direction (78.7%), both of which feed directly into the consumer spending chain that drives ad auction prices.
Cross-correlation analysis confirms that MTI leads the ICE BofA High Yield Option-Adjusted Spread by 12 weeks (r = -0.46). MTI's real rate component explains 92% of federal funds rate variance, confirming direct transmission channel fidelity. These are not backtested hypotheticals. They are measured against published Federal Reserve data that anyone can verify.
The methodology builds on four pillars of peer-reviewed research: the Bernanke-Gertler credit channel (American Economic Review), the Gilchrist-Zakrajsek excess bond premium (American Economic Review), the Goldfarb-Tucker signal quality mechanism (Marketing Science), and the Molinari-Turino advertising procyclicality finding (Management Science).
How WhenBRRR Uses Federal Reserve Data for Marketing Budget Optimization
The Money Tide Index (MTI) computes a composite liquidity score from 15 Federal Reserve FRED data series, including M2 money supply, the Fed balance sheet, Treasury General Account, and reverse repo balances. These upstream indicators shift financial conditions weeks before the effect reaches ad auction clearing prices. When validated against 379 weeks of FRED data, MTI regime transitions led credit market stress indicators by 8 to 12 weeks and correctly predicted macro direction 72% of the time at the 8-week horizon. The signal's academic foundation draws on peer-reviewed monetary economics research published in the American Economic Review, the Journal of Economic Perspectives, and Management Science.
Every allocation recommendation is deterministic and auditable. Same inputs produce exactly the same outputs. No black box.
WhenBRRR is a decision-support tool for marketing budget timing. It is not investment advice. Past signal classifications do not guarantee future CPM movements. View live MTI dashboard
Glossary
- Money Tide Index (MTI)
- A composite index computed from 15 Federal Reserve FRED data series that measures the net liquidity environment. The MTI classifies markets into four regimes: High Tide, Tailwind, Neutral, and Low Tide.
- Fed Liquidity Signal
- An upstream economic indicator derived from Federal Reserve balance sheet data (WALCL), M2 money supply, and related macro series. Changes in Fed liquidity precede shifts in ad auction clearing prices by 8 to 12 weeks.
- Marketing Budget Timing
- The practice of adjusting advertising spend allocation based on macroeconomic regime changes rather than trailing campaign metrics. Timing spend to liquidity cycles can reduce CPM waste and improve ROAS.
- CPM Compression
- A decrease in cost per thousand ad impressions that occurs when expansionary monetary policy increases consumer liquidity, raises ad engagement rates, and lowers effective auction clearing prices.
- Macro Regime
- One of four market states classified by the MTI using percentile-based thresholds: High Tide (75th-100th percentile), Tailwind (45th-75th), Neutral (25th-45th), and Low Tide (0th-25th). Each regime maps to specific channel-level budget recommendations.