MAPS Intelligence

Synthesis from areas

Each country brings its own data. MAPS compares them.

Nine comparisons built from the research the country projects already have: trends, consumers, competition, prices, innovation, portfolio, communication, distribution. And on larger areas, the roll-up across sub-areas.

The example is a menswear tailoring brand in five European markets: the names of the brand and its competitors have been changed.

Bottom-up

The comparison,
with the data you already have.

The syntheses don’t search for anything new: they read the research each country project has already done and compare it. Nine reads, each with its own lens — the trend radar starts from each country’s social listening, comparative pricing from the price analyses, and so on.

In a region the columns are the countries. You need at least two country projects with that module: if one is missing, the panel tells you which.

scroll ↓
Competitive landscape across the FR+GER+SP cluster: overall picture, competitive structure, the brand’s position, divergences, so what, the Germany · France · Spain matrix and the insights
Nine reads

Where each one
comes from.

Each synthesis starts from a specific module in the country projects.

Market context

Company profile and market landscape: size, growth, maturity, structure.

Trend radar

From social listening: the signals emerging country by country.

Consumer convergence

From Consumer Focus: the shared segments and the local ones.

Competitive landscape

From Competition Focus and market shares: pan-regional and local players.

Comparative pricing

From the price analyses: positioning and elasticity.

Innovation lead-lag

From innovation trends: who anticipates what.

Comparative portfolio

From the portfolio: the regional core and the local gaps.

Comparative communication

From advertising and Communication Focus: message territories and media mix.

Comparative distribution

From distribution channels: structure and retail banners across countries.

The roll-up

Areas
made of areas.

On a macro-area the columns become the sub-areas, and each one brings its own position: the synthesis already done in the cluster, the project’s data if it’s a Big Country, the Quick Overview if it’s a country without a project. The comparison is made between comparable units — Italy, the United Kingdom, the three-country cluster.

If a sub-area doesn’t have that read yet, it stays out and the panel says so: you generate it there and regenerate here. And if the countries or the upstream data change after generation, a notice tells you to regenerate.

scroll ↓
The roll-up on Europa Big: convergences and divergences across sub-areas, lead-lag, so what, and the Italy · UK · FR+GER+SP matrix

Syntheses come out in the team’s working language and go into the area’s memory. They can be regenerated, have their own versions, and export to PDF or to a presentation.

The comparison, from real data.
Country by country.