Behavioral models and research are used.
Markets are quantified using retail panels.
Categories: Fast-moving consumer goods (FMCG). Virtually any supermarket product.
Population: 47 million consumers (in-store purchases).
Sample:
Almost all stores of main supermarket chains.
A consumer-shopper panel.
Incentives: Supermarkets share info for aggregated data, sold to manufacturers.
Results: Accurate market share information for each brand by product category in each supermarket.
Measures media consumption to inform advertisers, agencies, and media about each platform's advantages to optimize communication strategies.
Audiometer: Device that intercepts TV signal to determine the tuned channel.
Indicates household members present.
Since 2017, admits "guests" to the home.
Results: Daily audience data.
Process endorsed by the AIMC (Association for Media Research).
Challenges: TV through the Internet.
Sample and Population:
Population: 44.6 million viewers.
Sample: 4,700 households / 12,000 people.
Commitment to anonymity.
Sampling: random stratified by municipalities.
Margin of error: 1%-5%.
Incentives: points system.
Categories: Food, drugstore, perfumery, textile, telecom, fuels, pet food.
Population: 47 million consumer-shoppers.
Sample: 4,000 households / 10,500 individuals.
Incentives: Points system.
Product barcode scanner.
8,000 questionnaires a year to collect consumption habits.
Results Detailed information on:
WHO consumes.
WHAT do you consume.
WHEN do you consume.
HOW do you consume.
WHY do you consume.
Key questions addressed:
How many households buy?
What is the average purchase per household?
What is the frequency of purchase?
Where do households buy different references?
What is the loyalty of households that buy my brands?
What is the average purchase per act of purchase?
What is the market importance of the brand and its main segments?
What is the retailers market share?
Channels, chains, and profiles variables.
Category item list.
Periods.
Penetration, % households in promo, average purchase per household.
Repeat purchase and net participation.
Loyalty to the retailer, average number of stores.
Main channels.
Main retailers.
Sociodemographic profiles.
Life stages.
Same product detail as retailer bases.
Quarterly & Annual.
3 years of history.
Social class, age of the housewife, number of household members.
Activity of the housewife.
Presence of children in the home.
Size of the municipality.
Nielsen Geographies.
Life Stages: Young singles, young couples, young families, young people >18 at home, established families, mature families, older couples, older singles.
Explains market share behavior in terms of penetration, loyalty, and consumption rate.
\text{Market share} = \text{Relative penetration} \cdot \text{Net share} \cdot \text{Consumption index}
Relative penetration: Percentage of households that bought the brand in relation to households that bought the product.
Net share: Percentage of purchases of brand A made by buyers of that brand = Loyalty.
Consumption index: Spending of households buying the brand relative to the average spending of all households; measures whether the brand attracts strong consumer-shoppers.
Mercadona has achieved sustained growth by increasing the frequency of purchase of its shoppers, thanks to the remodeling of all categories of fresh products.
Implications of consumer-shopper behavior in defining marketing/trade strategy.
Consumer-shopper insights as a marketing base and source of business.
Trade & marketing mix.
Obtained after analyzing the way of thinking or acting of consumer-shoppers that generates business opportunities (products, strategies, communication, etc.).
Obtain acceptable empirical generalizations that support a broad view, extrapolated to a specific group or population.
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Qualitative, quantitative, and observational studies.
Big Data.
Big Data alone is just numbers; the key is to derive insights and find good market opportunities.
Walmart in the mid-80s used early databases to store customer shopping lists to decipher consumption patterns.