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Family Square Customer knowledge solution

How to boost your customer knowledge thanks to Open Data?

We have created a profiling tool to optimise the performance of marketing campaigns. The data available in Open Data enabled us to create 23 geotypes that describe the 27 million French households.

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We have aggregated 3 data sources available in Open Data for our repository

Data IRIS INSEE

France is divided into 50,000 “housing”, “activity” or “miscellaneous” blocks of 2,000 inhabitants.

Data Tiles

France is divided into 2.3 million squares with sides of 200 metres. 90% of the squares contain an average of 40 households.

Data INSEE SIRENE (B2B)

Repository of companies in France, including 12 million establishments.

23 families and 9 sub-types

Groupings are made according to :

  • the identification (age, household composition, income level…)
  • the typology of the housing area (type of housing, housing status…)
  • the environment of the settlement (number of shops, type of settlement, proximity to food shops, etc.)
Family_Square-Geotypes-2

In which cases use Family Square ?

1 Improved knowledge of your customers and prospects

  • Know who your customers or prospects are.
  • Enrich your CRM with data.
  • Identify your customers’ lookalikes.
  • Improve your targeting and your ROI.

2 Adaptation of the offer, the service and the communication channel

  • Personalise the content of your communications.
  • Test new omnichannel devices and measure performance.
  • Control your marketing spend by using the best channels.

3 Geomarketing campaigns

  • Identify the optimal catchment areas for your outlets.
  • Bring a more powerful targeting finesse.
  • Differentiate your marketing by geography.

4 Establishment of sales outlets, optimisation of routes

  • Optimise your sales rounds.
  • Identify the areas in which to locate your sales outlets.
  • Differentiate your marketing by geography

Our success stories through Family Square

All our success stories
Key visual Family Square
  • Acquisition
  • Loyalty
  • Banque & assurance
Banking sector player
How do you choose the channels to which customers are most receptive?
visuel-avocotes-v3
  • Acquisition
  • Banque & assurance
AvoCotés Insurance
How to increase the performance of an insurance broker's acquisition campaigns using data science?