Searching Before Spending: Online Demand as a Leading Indicator of Consumption
Consumer & Retail Demand
Detect early signals for consumer activity with online demand analysis
Summary
Consumer spending remains the backbone of the US economy and one of the most closely watched variables for investors. QuantCube already tracks consumption through a suite of high-frequency indicators, including our Personal Consumption Expenditures (PCE) nowcast, foot traffic, and air traffic data.
Yet an increasingly important part of the consumer journey occurs before a purchase is ever made. Whether buying groceries, booking travel, or researching a new product, consumers often begin online. As a result, internet search activity can provide an early signal of changing demand conditions before they become visible in spending data.
To capture this behaviour, QuantCube has developed a new family of Online Demand Indicators. Rather than measuring transactions, these indicators track internet search activity across sectors of the economy. While searches do not always translate into purchases, they reveal consumer intent and can therefore offer a leading view of future consumption trends.
From Internet Searches to Economic Signals
The Online Demand Indicators transform large volumes of internet search activity into daily measures of sectoral demand.
The methodology first maps search categories to the Global Industry Classification Standard (GICS) framework, allowing search activity to be organised consistently across sectors and industries. We then extract the demand signal embedded in these thousands of searches while reducing their idiosyncratic noise.
The result is a family of daily indicators available from 2011 onwards, covering 11 GICS sectors and numerous industry groups in the United States. The indicators are available as indexed levels and year-on-year growth rates calculated on 7-day, 28-day, and 91-day rolling averages to smooth short-term volatility.
Consumer Staples: A First Example
Exhibit 1 illustrates the Online Demand Indicator for the Consumer Staples sector.
Several well-known consumption patterns are immediately visible. Demand typically rises during the year-end holiday season and around major consumption events such as Independence Day. Outside these periods, the series remains relatively stable, reflecting the defensive nature of staples spending.
The most striking feature is the surge observed during the early stages of the COVID-19 pandemic. As lockdowns restricted access to physical stores, consumers increasingly turned online to search for groceries and essential household products. Online demand for consumer staples rose to more than 70% above its normal levels, highlighting the structural shift in shopping behaviour during that period.
More recently, the indicator has remained elevated relative to historical averages, suggesting that online channels continue to play a larger role in consumer purchasing decisions than they did prior to the pandemic.
As we expand the coverage of the Online Demand Indicator family, these data will provide investors with a new lens through which to monitor shifts in consumer behaviour across sectors, complementing traditional spending measures and offering earlier insight into emerging demand trends.
What the Indicators Are Showing Today
The latest readings suggest that US consumer demand remains resilient, but the composition of that demand is becoming increasingly uneven.
As discussed above, online demand for consumer staples remains elevated relative to historical norms, pointing to continued strength in essential spending. Demand within discretionary categories is also holding up overall, but a closer look reveals important divergences beneath the surface.
Durable goods continue to be the primary source of strength. Online demand for vehicles, household equipment, electronics and other big-ticket purchases remains above its historical average and has generally trended higher over the past year (Exhibit 2). This resilience is notable given the higher interest rate environment and suggests that parts of the consumer sector remain supported by healthy household balance sheets and income growth.
The picture is less encouraging for broader discretionary retail. Online demand for retail consumer discretionary categories remains below both its historical average and pre-pandemic norms, despite a modest improvement in recent months (Exhibit 3). Consumers appear willing to spend on selected large purchases but remain more cautious toward non-essential retail categories.
This interpretation is reinforced by other QuantCube datasets. Department store footfall – a useful proxy for non-essential retail activity – continues to point to relatively subdued demand, suggesting that the weakness observed in online searches is also visible in physical shopping behaviour.
The ability to cross-reference signals across multiple datasets is one of the key strengths of the framework. Consumption trends rarely emerge simultaneously across all channels. By combining online demand indicators with measures of physical activity, mobility, and spending, investors can distinguish between persistent shifts in consumer behaviour and short-lived fluctuations, resulting in a more complete view of household demand.
Beyond macroeconomic monitoring, the granularity of the dataset opens the door to sector-level investment analysis. The indicators can be used to assess the relative strength of discretionary versus staples demand, monitor changing consumption patterns across industries, or enhance sector allocation and rotation frameworks. Because the methodology is built around the GICS classification system, the indicators map naturally into investment and portfolio management workflows.
Beyond Consumption: A New Input for Investors
For discretionary investors, online demand indicators provide an additional lens through which to assess sector trends, validate macro views, and identify emerging shifts in consumer behaviour before they appear in official statistics. For systematic investors, they offer a new source of high-frequency signals that can be incorporated into quantitative strategies.
The framework has also been designed to scale internationally. Because it relies on structured search categories rather than country-specific keywords, extending coverage to other markets is relatively straightforward. The objective is to expand the indicator family across the G7 economies.
Like any alternative dataset, the indicators have limitations. Search activity captures intent rather than realised spending and may reflect demand from both households and businesses. The mapping between search categories and economic sectors is not always perfect, and the indicators remain non-seasonally adjusted, requiring caution around major calendar effects and seasonal events.
Despite these constraints, online demand fills an important gap in our consumption-monitoring framework. In an economy where purchasing decisions increasingly begin online, tracking what consumers are searching for can provide one of the earliest signals of what they may eventually buy. For investors seeking to understand changes in demand before they appear in conventional data releases, that information can be particularly valuable.
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