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News
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Do
you want to build a prospect database at a fraction of the full
cost?
Experian Marketing Services Ireland together with one of Dublin's leading Newspapers are launching
a series of surveys that will be "on page" in the actual
newspaper.
The
distribution figures on a weekly basis are 300,000 in the Greater
Dublin area. The questionnaire will be running every week!
We
are looking for companies to sponsor questions on a pay per response
basis ie; you only pay for the positive responses/leads to
your questions.
Experian Marketing Services Ireland will data capture all questionnaires and supply data and
details for each sponsored questions back to the client on a Monthly
basis.
Clients
will also have solus rights on their data and the survey will
carry non competing questions within each survey.
The
survey will prove very useful for such industry sectors as Charities,
FMCG, Credit Cards, Financial Loans, Mail Order, Lottery/Prize
Draws, Motor Industry, Retail Industry and many more
For
More Information Contact Chris on 01 661 4808 or email Chris.Clifford@experian.ie

Prospect
Databases - A new direction
Make
dramatic savings on your list rental and merge purge costs while
significantly increasing response rates - not the stuff of fantasy,
read on
Despite
the success of the Internet, direct mail continues to be the absolutely
best way for many companies to acquire new customers. During the
past two decades, mailers have developed very efficient and profitable
direct mail methods. There are thousands of lists for rent, many
of which contain households that will respond to promotions for
credit cards, insurance, publications, and scores of products
and services. Intense competition has reduced the price of rental
names to make direct mail highly profitable with the right offer
to the right audience. Most people think that after twenty years
of direct mail experience we have tried everything, but they are
wrong.
What
I am going to outline in this article will astonish some long
time direct mail practitioners. It represents a new direction
that breaks the mould of traditional merge purge mailing. The
technique is the creation of a prospect database.
How
large mailings are done today
In
traditional direct mail, a mailer may rent names from 300 or more
different lists. He has a service bureau conduct a merge purge
to come up with a clean unduplicated mailing file. In selecting
names, he would like to use criteria like age and income, but
usually is limited to selecting names by what list they are on.
All he can identify in the output of the merge purge are the multi-buyers
(appearing on more than one list). He also can target the hot
line names (bought within the past month). His final mailing file
is divided into hundreds of segments. After the promotion, he
checks to see which list performed best. He will rent names from
those lists again. Next month, he will start the process all over
again renting from 300 more lists. He has learned something (which
lists work the best), but each month's mailing costs are about
the same and get almost the same response rates.
Traditional
prospect mailings are typically stand-alone events. They require:
| - |
Campaigns
based on lists, rather than on households or individuals |
| - |
Detailed
back-end analysis of responders. |
| - |
Measurement
of the ROI of each campaign. |
| - |
Erasure
of prospect names after each campaign. No analysis of non-responders
is possible. |
How
a prospect database works
Let's
see how a prospect database works. Instead of renting names for
a single use, the mailer, or his service bureau, makes an offer
to the list owners to permit him to rent their names for a full
year, paying them for each use. He puts the names into a database.
Instead of doing an expensive merge purge every month, he does
one massive merge purge at the start of the year (e.g. the initial
database 'load'), and then minor updates to the prospect database
each month as customers are acquired, and new hot line names become
available. Rather than continuing to merge/purge the entire database
through additional database builds, additions and change files
are fully hygiened and consolidated within the database to keep
the file constantly ready for mailing. Overlays and other proprietary
update techniques can be applied quarterly or monthly to keep
all the information in the database as updated as practical.
Once
the names are in a prospect database, he can afford to append
data to each household. He will know the income, age, family composition,
house type, lifestyle, length of residence, and mail responsiveness.
He may be able to know how much they spend in his category. He
may have credit data. He will know a lot more about each prospect
than he ever can discover with traditional merge purge, which
is usually limited to which lists their name appears on.
Each
name in the prospect database has previous promotion history appended
to it. It may have channel history -- did this person buy from
someone over the web? The data can be updated frequently from
appended data, from hot line data, from NCOA and from other sources.
In
traditional merge purge, the mailer never gets his hands on the
actual data. With a prospect database the mailer accesses his
prospects over the web using software like Brio or Epiphany. With
this rich data on the prospects available on his desktop, he can
develop acquisition models, which are impossible with traditional
merge purge. With a prospect database, it is possible to determine
how many times a particular person has been mailed in the past,
and to develop a strategy for mailing that person in the future.
This is almost impossible with monthly rented lists. Some marketers
can develop matrices like this:
Probability
to Purchase Based on Behaviour
|
Probability
Based on Demographics
|
|
|
High
|
Medium
|
Low
|
| High |
Priority
A |
Priority
B |
Priority
C |
| Medium |
Priority
B |
Priority
B |
Priority
C |
| Low |
Priority
C |
Priority
C |
Priority
C |
|
Every
name can be assigned a priority, based on previous purchase behaviour
and based on demographics. Here for the first time is a really
scientific and profitable way of categorizing prospects before
they are mailed. Is your method working? You can tell this by
the results of your promotion. Your models get better and better.
Your response rates and sales get better and better. Your costs
go down.
A
prospect database permits:
| - |
Better
selectivity and segmentation based on better information |
| - |
Ability
to manage complex campaigns |
| - |
Identifying
"offer addicts" who are not qualified, but respond
anyway |
| - |
Faster time to market. Since the merge purge is eliminated,
a hot line name can be mailed in a week or two instead of
four or five weeks. |
| - |
Management
of names by contact frequency |
| - |
Ongoing
use of modelling and analytics |
| - |
Significant
cost efficiencies |
A
prospect database is particularly useful in situations in which
the responder fills out an application, which has to be reviewed
and approved. In many cases, the merge purge process does not
catch these applications, and the prospect is mailed another time
while his application is under review. This is not only costly,
it may complicate the application review process, particularly
if the second mailing contains a different offer. With a prospect
database, all responses are posted to the database immediately.
The prospect does not get mailed a second time.
A
case study
A
major mailer has 35 campaigns per year selling six related products.
The mailer created a prospect database that included the results
from their customer-marketing database, which his marketing staff
could access on line.
The
resulting prospect database covered roughly 90% of the 277 million
individuals in the U.S. and was built based on these three core
strategies.
They:
| 1. |
Used
advanced hygiene and processing capabilities to dramatically
reduce duplicates and wasted mail |
| 2. |
Rethought
their list acquisition strategy |
| 3. |
Implemented
an innovative approach to modelling to improve the results |
The
modelling program included response and performance models, which
predicted conversion to sales, not just response. They focused
on what really mattered. The model increased not only the ROI
from each campaign, also the Lifetime Value resulting from the
prospect database.
After
a year of operation, list rental costs had dropped by more than
70%, merge purge costs decreased and response rates to each campaign
increased significantly. There was a major favourable impact on
the bottom line.
Conclusion
Building
a prospect database will work for you if:
| - |
You're
marketing to consumers (rather than B2B) |
| - |
You're
a high-volume mailer |
| - |
Mail
drives your business |
| - |
You
use a wide variety of lists |
| - |
You
manage multiple campaigns each year |
| - |
You
aren't locked into long-term, unbreakable list deals |
| - |
You're
willing to negotiate with list managers and owners |
If
you have not looked into the creation of a prospect database,
now might be a good time to do so. You might save a lot of money,
and improve your bottom line.

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