What is Origins?
Origins is a segmentation system which classifies consumers
according to the part of the world from which their forebears are most likely to
have originated.
Each consumer on a customer file can be placed
into one of 200 different ‘Origins’ types on the basis of their personal and family
names. The segmentation could be used
for example to identify people on a customer file whose ancestry is most likely
to be from Ireland, Italy, Albania or Myanmar.
Origins uses the same information to code customers on the
basis of their most likely language and religion.
An age estimate and gender can also be appended for most customers.
How is Origins used?
Origins is used in three different ways:
1 : Origins is used to
profile customers and customer
segments. By profiling customers you
can identify which groups are under or over-represented on your customer file. You can find out which groups prefer
to use which products, channels and outlets, which ones you are good or poor at
retaining and which are responsive to which types of promotion or reward.
2 : Origins is used to
code customers.
By coding customers you can target campaigns to improve awareness and
take up of public services by members of specific minority groups.
You can also target products, such as cosmetics, media channels and travel,
at audiences for whom they have been especially developed.
3 : Origins is used to
classify postcodes. Using a
table which identifies the dominant Origins type in each postcode you can identify
the locations in which individual communities have established themselves right
down to street level.
Who uses Origins?
Origins has both government and commercial sector use. Government organisations that use Origins
to inform the planning of their services to minority groups include Strategic Health
Authorities, Primary Healthcare Trusts and individual Hospital Trusts.
Origins has also been used by the police and by
the campaign departments of political parties.
It has been used by retailers to identify the
minority groups that use their services and to identify heavy users and users of
particular products.
Origins has also been used in the charity sector to identify the representativeness
of members and donors.
How does Origins work?
In order to code individual customers, Origins
makes use of a table which contains information on over 200,000 personal names and
over 600,000 family names. Each of
these names has been examined in such a way as to identify the Origins type to which
it is most likely to belong. This evaluation
makes use of a number of criteria including the Origins codes of the surnames held
by bearers of each personal name, and vice versa; the geographical concentration
of the name both within and between countries; the Mosaic codes in which the names
are mostly found ; and the appearance of diagnostic letter sequences.
This evaluation also establishes the confidence
with which we can say a particular name belongs to a particular Origins type.
Looking at the codes associated with both the
personal name and the family name,
and taking into account the confidence level of each, Origins identifies
the Origins type to which each customer name is most likely to belong.
What is Origins coverage rate?
Provide you files free of data capture errors, you should be able to code 99.5% of your customer records
by Origins type. The
residue are either names which the system does not recognise, because
they are rare, or ones which the system can not allocate to any particular Origins
type.
What is Origins level of accuracy?
The level of accuracy varies from one Origins
type to another. Origins achieves
accuracy rates oin excess of 90% in identifying South
Asians and Muslims, and 70% in identifying Black
Africans, Greeks, Armenians and people from East and South East Europe.
It achieves accuracy rates of 50% with Hispanics.
Lower accuracy rates are achieved with people of Nordic or French origin,
with Jews and Black Caribbeans.
As would be expected the system is more accurate
when coding names to a general categories, such as South Asians or Greeks or Greek
Cypriots, than to specific sub-categories, such as Sri Lankans or Greek Cypriots.
How does Origins handle persons of mixed ancestry?
Origins can be used to identify persons whose
names come from more than one tradition – for example a person with an English personal
name and a Finnish family name.
The confidence score given to each name combination
can also be used to select or deselect people who are most likely to be of mixed
ancestry. Restricting a communication
to names with high confidence scores is an effective way of avoiding communicating
with individuals who are least likely to belong to the selected target group.
Profiling using Origins
When Origins is used to profile customer files
it is possible to specify as one’s base comparison any region, postcode area, police,
education or health area in Great Britain.
Using Origins abroad
Although Origins is a single application, it
has facilities hereby it can be optimised for specific overseas markets.
These overseas versions code certain names differently in different markets. For example a ‘Roger’, which would be
coded as ‘English’ in Britain, would be coded ‘French’ in France.
Non GB versions of Origins also allow the mix of names by Origins type to
be compared with the Origins mix for the specific market in which the analysis is
undertaken.
How is Origins accessed?
Origins types and groups can be appended to customer
records using the Origins software application.
This system is licenced to clients by Experian. The application is downloadable from
the internet and makes use of files which themselves are updated on a regular basis
as names from more countries are introduced.
The licence fee depends upon the version of the application licenced. For example it is possible to licence
a standard GB version designed to code names appearing on British or Irish customer
lists. An enhanced version also appends
age and gender. Alternatively users
can licence versions of Origins optimised for different overseas markets.
If they prefer users can have the codes appended
to their files by Experian on a bureau basis.
The Origins postcode classification is typically
accessed via Experian's Micromarketer Generation 3 geographcal analysis
software.