- DMA
- Designated Market Area. The boundary used for buying ads in a region.
- SPF
- Sun Protection Factor. A common rating for sun protection products.
- UV
- Ultraviolet index. A measure of sun intensity.
Reach weather-sensitive buyers exactly when they’re ready to buy.
Large Causal Demand Models forecast market-by-market demand changes and recommend marketing and ad moves with backtested expected returns.
Market-by-market demand forecasts with backtested expected returns.
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Built for weather-sensitive demand.
Sunscreen
Allergy
Rain gear
Humidifiers
Cooling
Sports drinks
Generators
Summer toys
ConvertiblesThat’s a Department of Commerce finding—one third of private industry revenue shifts with the forecast. WeatherVane builds a demand model from your sales history and market-level weather data, calculates the revenue impact market by market, and tells you exactly what to change. Every recommendation ships with the math behind it.
The WeatherVane platform
Request a demo →Weather is already moving your revenue. You’re not operationalizing it.
A temperature swing, UV spike, or humidity drop changes what people buy and when. That demand shift shows up in your orders and paid performance.
The hard part isn’t believing weather matters. It’s acting market-by-market without guesswork, including smaller markets you never have time to watch.
See the workflow →- You watch a few big geos; the long tail gets ignored
- Demand shifts by market, not nationally
- Forecasts change mid-week
- Manual rules don’t scale
- Most teams leave this money unclaimed
Not playbooks. A demand model trained on your data.
WeatherVane builds a multi-variable demand model from your sales, spend, market-level weather, and calendar signals. It doesn’t guess from a forecast—it calculates the demand response curve for each product-market pair.
The output is specific: which channel to shift, how much, when to start, when to stop, and how confident the model is in the call. Every recommendation includes the math behind it.
Explore an example →- Channel-specific recommendations
- Timing windows (start/stop)
- Estimated incremental impact
- Evidence attached to every call
A weekly plan for every market, with daily alerts when it changes.
WeatherVane monitors every market as forecasts update. You get one weekly brief, then daily alerts only when the recommendation materially changes.
If the signal isn’t strong enough, we pause instead of guessing.
See coverage →- Market-by-market coverage
- Daily monitoring, low-noise alerts
- Pauses when uncertain
- Designed for busy teams
Every recommendation shows its work.
Each call ships with backtests run on your own sales history, calibrated uncertainty ranges, and the specific conditions that would invalidate the recommendation.
When we can run holdout experiments or causal shock analysis, we show those results. When we can’t, we label the estimate clearly. No black boxes.
See the evidence →- Backtests on your history
- Calibrated uncertainty ranges
- Break conditions that flip the call
- Holdout-ready experiments
A Large Causal Demand Model
WeatherVane doesn’t guess. It trains a multi-layer demand model across hundreds of weather variables, time signals, your sales history, ad and marketing spend, inventory positions, and other company data—across thousands of geographic markets. The output: ad and marketing efficiency recommendations, expected revenue lift, and inventory guidance, delivered weekly with daily alerts when conditions shift.
Pricing
Monthly platform fee by default, with optional outcome-linked structures for enterprise contracts.
- Weekly plan + daily alerts when the call changes
- Evidence bundle per recommendation
- Onboarding + measurement setup
- Client-ready proof bundles
- Multi-tenant workflows
- Reporting templates
- High market count + advanced controls
- Holdouts and deeper validation
- Security and compliance alignment
Join the beta.
We reply within 24h with a sample proof bundle. No spam.