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External factor

As explained in Demand Forecasting Best Practices

An external driver is a factor outside the demand process that influences the level or pattern of demand.

An external factor is a demand driver outside a company’s control. It helps explain why demand changes beyond the effects of decisions such as pricing, promotions, marketing, events, shortages, or substitution products. Common external factors include holidays, weather, macroeconomic indicators, competition, online visibility such as search volume, and legal or regulatory conditions. section 14.2.1

The practical question is not simply whether a factor affects demand, but whether it can support a forecast at the required horizon. Assess its likely impact, the availability of historical data, and the availability of future data. Historical weather may be available, for example, while weather information may be unsuitable for forecasting demand six months ahead. section 14.2.1

Use external factors as part of a demand-planning data decision:

  • Start with the decision the forecast must support, then define the needed horizon and granularity. section 1.3
  • Collect unconstrained demand rather than constrained sales, alongside data for external drivers that affect demand. section 1.2.2
  • Separate drivers the company controls from those it does not, so that planned actions are not confused with outside conditions. section 14.2.1
  • Prioritize factors whose past records and future values are accessible enough for the planning horizon. section 14.2.1
  • Judge the resulting forecast by usefulness for the decision, not by accuracy alone. section 1.3

Choosing a factor for a six-month forecast

A planner may observe that weather affects demand, yet reject it as a six-month forecasting input if future weather information is unavailable at that horizon. A macroeconomic indicator may be more usable when it acts as a leading indicator, while competition can be difficult to use when neither historical nor future information is accessible. section 14.2.1

Table 14.1 Main Demand Drivers (view table figure)

Driver

History

Future

Promotions

✅

❓ Planned for medium-term

Events

✅

✅

Marketing

✅

❓ Usually short-term only

Pricing

✅

❓ Usually short-term only

Shortages

✅

✅

Weather

✅

❓ Very short-term

Competition

❌

❌

Macroeconomic indicators

✅

❓ Works if leading indicators

Compare demand drivers by whether historical data exists and whether future values can be obtained; this determines which factors can serve a given forecast horizon. section 14.2.1

External-factor data supports a stronger forecast baseline and can reduce reliance on manual adjustments. It does not make a forecast automatically useful: the forecast must still fit the decision, use appropriate demand data, and be reviewed at the relevant short-, mid-, or long-term horizon. section 1.3

How Demand Forecasting Best Practices covers it

How deep it goes
Defines external drivers, lists types, and evaluates their impact plus historical and future-data availability.
Examples
Uses holidays, weather, macroeconomic indicators, competition, online visibility, and legal or regulatory conditions as examples.
What you can do after
Evaluate/understand whether an external factor has usable history and future data for a required forecasting horizon.
How it connects
Connects demand drivers with unconstrained demand, forecast horizon, forecasting accuracy, and forecast usefulness.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Demand Forecasting Best Practices. The section links point to the parts of the book it draws on.