Consumer Panels

Consumer Panels - Panellist with handheld scanner - NielsenIQ. Consumer Analytics

Exhibit 7.1   Panellist with handheld scanner. (Photo courtesy of NielsenIQ).

Since their inception in 1932, developments in the use and application of consumer panels have greatly contributed to the science of consumer analytics.

More recently, the explosion of data has expanded the role and application of consumer analytics, such that it cuts across virtually every sector of economic and social activity.

This chapter imparts an understanding of consumer analytics through consumer panels. It covers the analytic tools used to extract insights from consumer transactions.

The book takes an easy-to-understand approach to explain a repertoire of metrics and techniques such as width and depth of purchase, buyer groups, profile analysis, behavioural brand loyalty, trial and repeat purchase, overlap analysis, basket analysis and gain–loss. It focusses on the applications of these techniques to diagnose brand health and address business issues.

Approaches to tracking sales as goods flow from manufacturer to retailer and shopper. Consumer Analytics, Retaile Analytics

Exhibit 7.2   Different approaches to tracking sales as goods flow along the path from manufacturer to retailer and shopper.

A Consumer Panel is a panel of households or individuals whose purchases are monitored on a continuous or ongoing basis. In some ways it is similar to a loyalty panel, which comprises loyalty card holders. They both are powerful research platforms that produce streams of continuous customer transaction data, which are ideal for diagnosing the buying behaviour of products and services, where repeat purchasing is the norm.

Though the scope does vary, the research methods described in this chapter apply across the different forms of disaggregate consumers’ purchasing data. Unlike consumer panels though, loyalty panels and customer transaction data present only a blinkered view, confined to customers’ transactions within the organization. However, because they represent a larger customer base, their data is more tactical/actionable in nature — it allows for the execution of tactics, targeting segments or even individuals, at specific locations, e.g., store, bank, etc.

Consumer panel data is broader in scope as it is not confined to an organization’s customers. Yet because it is a platform that is specifically created and maintained for research purposes, the data acquisition cost for consumer panels is far greater than that for live sources like customer transaction and loyalty data.

Exhibit 7.2 depicts the different approaches to tracking sales as goods flow along the path from manufacturer to retailer and from retailer to shopper. The data sourced at retail checkouts offers the most efficient and accurate means of tracking sales. Called the retail index, this is the industry standard for market measurement.

The accuracy of consumer panel data is limited by the panel size, yet it is richer and better suited for diagnosing buying behaviour. In research lingo, data of this nature is called disaggregate. Key brand health measures like brand loyalty, %buyers, volume per buyer and so on rely on disaggregate data. Other diagnostic analysis like brand switching, repeat buying rate, share forecasting rely on data that must be both continuous and disaggregate.

Typically, consumer panels are composed of households/individuals who are representative of the market in terms of relevant characteristics such as household size, life stage, income, dwelling type, ethnic group, geographical location, etc.

The panels in existence today are almost entirely anchored in the fast moving consumer goods (FMCG) sector. There is a considerable, as yet largely unexplored potential for panels in sectors such as finance, telecom and petroleum. Behaviour of usage/consumption of credit cards, mobile phones and petroleum, can provide valuable information that could help shape marketing and business decisions in these sectors.

Nielsen, the largest service provider operates FMCG panels in 28 countries covering about 300,000 households. The first panel was set up by Nielsen in 1932, in the U.S. The first scan panel, BrandScan was launched in 1986 in Australia by AGB McNair, which subsequently was acquired in 1994 by Nielsen. Today the majority of FMCG consumer panels are scan-based, and the two major service providers are Nielsen and Kantar (TNS).

In addition to home panels there are a few out-of-home panels for impulse foods like chocolate, ice cream and soft drink that are consumed out of home.


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