NewWeather Demand Modelling is live. Forecast demand before it arrivesWeather Demand Modelling is live
Use case · Demand

Forecast demand before it lands.

Weather and seasonality move demand long before your sales report shows it. Blufire reads the degree-day signal 30 to 45 days ahead, so you place spend into in-season demand instead of chasing it after the peak has passed.

Cooling-degree-days lead demandDemonstrative data
OctMarDegree-daysDemand, lagged
The job

Buy into the demand that is coming, not the demand that just left.

For air-conditioning, heating, roofing and weather-sensitive retail, the season decides the year. Cooling and air-conditioning demand peaks across the Australian summer (December to February); heating peaks in winter (June to August). The signal arrives in the weather weeks before it arrives in your pipeline, but most teams only react once bookings spike, by which point the cheapest, highest-intent demand is already spoken for. The job is to see the season build, then move spend into it while the window is open. Blufire reads the degree-day signal against your own demand history so you can act on the lead, not the lag. Blufire shows the demand, it does not tell you to cut spend.

Weather is estimated to affect about 35% of GDP in industrialised countries, yet most operators treat it as noise rather than a forecastable input.
Parnaudeau & Bertrand, 2018 (international study). HVAC demand typically lags degree-days by about a quarter, and the practical move is to launch 30 to 45 days before the peak so spend is already live when intent is highest.
What you can do

See the season build, then place spend into it.

01

Correlate weather to your own demand

Blufire fits degree-days (base 18°C) against your real booking and order history, so you see how strongly temperature moves your demand and which weeks the relationship is tightest. This is your curve, not a generic seasonality template.

Weather-to-demand correlation by weekDemonstrative data
Peak summer (Dec to Feb)0.83Shoulder (Oct, Nov, Mar)0.62Peak winter (Jun to Aug)0.71Mild weeks0.28
02

Read the seasonality calendar for your vertical

See the demand shape of the Australian year laid out month by month, with cooling cresting over summer and heating over winter. You know which weeks carry the volume and which weeks to be patient, so the media plan follows the season instead of the calendar quarter.

Indexed demand by month, Southern HemisphereDemonstrative data
JFMAMJJASONDCooling peakHeating peak
03

Quantify the lead-time and lag structure

Blufire measures the gap between the weather signal and the demand it drives, so you know how many weeks early the degree-day spike shows up. HVAC demand typically lags degree-days by about a quarter, which is exactly the head-start you can act on.

Cross-correlation: demand response by lagDemonstrative data
Peak ~ +5 weeks+1w+3w+4w+5w+7w+9w+12wWeeks after the degree-day signal
04

Trust a forecast horizon you can act on

Every forecast carries a confidence band that widens with distance, so you see how far ahead the read is reliable. The practical window is 30 to 45 days: far enough to brief creative, set budgets and book inventory, close enough that the signal still holds.

Forecast with confidence bandDemonstrative data
TodayActualsForecast (30 to 45 days reliable)
05

Turn the forecast into a media-ready plan

The forecast resolves into a week-by-week view: degree-day index, expected demand and the recommended lead time to be live. Channel-level allocation is powered by Blufire's own attribution, never a last-touch guess from your store, so you place spend into the demand that pays.

Channel and CAC views are powered by Blufire attribution and unlock as your own attribution is connected.

Pre-season run-up planDemonstrative data
Week of 6 Oct · degree-day index112
Forecast demand vs baseline+18%
Lead time to be live38 days
Confidence at this horizonHigh
Window statusOpen now
What you get

The surfaces that do the job.

Weather-to-demand correlation
Degree-days (base 18°C) fitted to your own booking and order history, week by week.
Seasonality calendar by vertical
The Australian demand year mapped month by month: cooling over summer, heating over winter.
Lead-time and lag structure
How many weeks the weather signal arrives ahead of the demand it drives.
Forecast horizon band
A confidence band that shows how far ahead the read holds, centred on the 30 to 45 day window.
Pre-season run-up plan
Week-by-week index, expected demand and the lead time to be live before the peak.
Channel allocation on real attribution
Where in-season spend pays back, powered by Blufire attribution rather than a last-touch guess.
What changes

The decisions you can finally make.

Pre-position

Be live before the peak

Brief creative, set budgets and book inventory 30 to 45 days out, so you are already in market when intent is highest, not scrambling once bookings spike.

Concentrate

Weight spend to the in-season weeks

Put media behind the weeks the degree-day signal says will carry demand, and stay patient through the mild weeks where it will not.

Plan

Forecast the season, not the quarter

Brief stock, staffing and budget against the demand shape of the year rather than a flat calendar split, so supply meets the wave.

Who it is for

Built for weather-sensitive operators.

Trades and service

Air-conditioning, heating and roofing operators who live and die by the season. See the method in the Weather Demand Guide and the Weather Demand Modelling overview.

Ecommerce

Weather-sensitive retail where temperature swings move category demand. Compare your curve against the Weather Demand Index benchmark.

See your season before it lands.A 30-minute walkthrough on your own demand curve, not a generic demo.