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direct marketing
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website programming
fax marketing
e-mail & SMS marketing
CRM & loyalty management
nonprofit marketing

geomarketing
analysis & optimization

  Consumers database from the whole population

Our firm is able to form target groups and manage direct marketing services from the whole population based on the following aspects:

• Gender
• Age
• Marital status
• Number of children
• Characteristics of household
• Characteristics of living area*

Combining the above-mentioned detailed segments we can form those lifestyle characteristics, which will fit most the campaign goals and give the most adequate target group.

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  *Forming private person target groups based on the living area characteristics

My neighbor lives under similar life circumstances than me. This is the basic view for forming a geo-marketing and socio-demographic target group.

Our firm can undertake the project of forming geo-marketing and socio demographic target group country wide, based on county, postal code, or micro areas.
The principle is that we can characterize a given area based on the people’s income, private consumption, built-in area, number of storeys etc.

Those private people who live in a given area can be easily targeted after a geo-marketing and socio demographical analysis. (Example - a salami-processing firm can have a very effective campaign among those people whose meat consumption is higher than the average.) Using this method our firm can form target groups based on the following characteristics:

• Monthly net income per person (HUF/person/month)
• Net income per person annually (HUF/person/month) /year), Yearly total income
• Net income, per person, yearly (HUF/person/year), Savings
• Expense, per person, yearly ((HUF/person/year), Pleasure goods
• Expense, per person, yearly (HUF/person/year), Spirits
• Expense, per person, yearly (HUF/person/year) Tobacco
• Expense, per person, yearly ((HUF/person/year), Clothing
• Expense, per person, yearly (HUF/person/year), Man’s Clothing total
• Expense, per person, yearly (HUF/person/year), Woman’s Clothing total
• Expense, per person, yearly ((HUF/person/year) Children’s Clothing total
• Expense, per person, yearly (HUF/person/year) Running expenses, Maintenance
• Expense, per person, yearly (HUF/person/year), Electric energy
• Expense, per person, yearly (HUF/person/year), Gas, piped
• Expense, per person, yearly (HUF/person/year), Gas, propane
• Expense, per person, yearly (HUF/person/year Water rates
• Expense, per person, yearly (HUF/person/year), Woman’s underwear
• Expense, per person, yearly (HUF/person/year), Dry goods for woman’s undergarment
• Expense, per person, yearly (HUF/person/year), Household products
• Expense, per person, yearly (HUF/person/year), Furniture
• Expense, per person, yearly (HUF/person/year), Household machines
• Expense, per person, yearly (HUF/person/year), Healthcare, body care
• Expense, per person, yearly (HUF/person/year), Drugs, medical aids
• Expense, per person, yearly (HUF/person/year), Personal hygiene
• Expense, per person, yearly (HUF/person/year), Traffic, Newscast
• Expense, per person, yearly (HUF/person/year , Vehicle
• Expense, per person, yearly (HUF/person/year), Vehicle maintains
• Expense, per person, yearly (HUF/person/year), Vehicle, -registration, -insurance
• Expense, per person, yearly (HUF/person/year) Phone fee
• Expense, per person, yearly (HUF/person/year), Culture, going on holiday, Pleasures
• Expense, per person, yearly (HUF/person/year High value cultural product
• Expense, per person, yearly (HUF/person/year), Going on Holiday
• Expense, per person, yearly (HUF/person/year), Other personal expenses
• Expense, per person, yearly (HUF/person/year), Insurances
• Expense, per person, yearly (HUF/person/year), Building houses, buying property
• Expense, per person, yearly (HUF/person/year v), New house building project
• Expense, per person, yearly (HUF/person/year), Paying back building loans
• Expense, per person, yearly (HUF/person/year), Renovation, Repairing, Additions
• etc.

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  Lifestyle database

As a list broker our company offers a database that contains about 950 000 individual’s  lifestyle  data,  that we can create  target groups and undertake direct marketing  services from.  The main aspects of  target group creation:

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