|
Want to understand
what differentiates one group of customers from another?
Or responders from
non-responders?
Or buyers of product 'Y'
from buyers of product 'X'?
Or active customers from those likely to lapse (churn)
...
The answer
can be found by profiling, segmenting and scoring your customers
and prospects
What are popular statistics measures?
Click
here
What is segmentation?
People or organisations with one
or more characteristics that cause them to demand similar product
and/or services - based on the qualities of those products such
as price or function, can be grouped into what is termed a segment.
A true market segment is distinct from other segments (different
segments have different needs), is homogeneous within the segment
(exhibits common needs), responds similarly to a market stimulus,
and can be reached by a market intervention. The term is also
used when consumers with identical product and/or service needs
are divided up into groups so they can be charged different
amounts.
People
in a given segment are supposed to be similar in terms of criteria
by which they are segmented, and different from other segments
in terms of these criteria. These can broadly be viewed as 'positive'
and 'negative' applications of the same idea, splitting up the
market into smaller groups.
Segmentation is a form of critical
evaluation rather than a prescribed process or system, and hence
no two markets are defined and segmented in the same way. However
there are a number of foundation criteria that assist segmentation:
-
Is the segment viable and
can you make a profit from it?
-
Is the segment accessible?
-
How easy is it to get into
the segment?
-
Is the segment measurable?
-
Is realistic data obtainable
to consider its potential?
The are many ways that a segment
can be considered, and some of the basics include:
-
by geography - such as where
in the world was the product or service bought.
-
by psychographics - such as
lifestyle or beliefs.
-
by socio-cultural factors
- such as class.
-
by demography - such as age,
sex..., and for business, size, turnover, industry type...,
and so on.
A company should evaluate each
segment based upon potential business success. Opportunities
will depend upon factors such as the potential growth of the
segment, the state of competition within the segment, how much
profit the segment will deliver, how large the segment is, and
how the segment fits with the current direction of the company
and its vision.
Customer
profiling
Profiling (and segmentation)
are needed to target marketing campaigns, evaluate market potential,
develop appropriately balanced sales and franchise territory
areas, identify where to locate new outlets, identify hot spots
to target sales effort, and to help you tailor your communications
in terms of improved relevancy to increase sales.
Profiling your customers in
essence refers to identifying the characteristics that differentiate
your customers from people who are unlikely to ever buy your
product or have need of your service. It goes deeper though
to differentiate your best and most loyal customers – those
that buy more frequently, place higher value orders and are
open to other offers – from the rest. Not all customers
are ideal - some will purchase infrequently, won't spend a great
deal of money or will have little loyalty, yet will take a lot
of your selling time.
One approach to profiling is
to first segment - or group - customers by their value to the
business, then append external profile data – census, lifestyle,
market data or business/consumer geo-demographics – to enrich
segmentation and customer understanding. To do this we first
statistically analyse customer trading data to determine how
much people spend, how often they buy, what they buy, where
they live, their life stage, what attracted them to your company,
etc., then compute a score to identify the ‘best’ type of customer.
Using the Postcode (or ZIP
code), we add external ‘profile’ data which allows us to accurately
describe what your best customers look like.
Then, using geographic analysis
techniques, we can position your existing customers on a map
- classifying by value - and develop what is termed a ‘heat
map’ to identify where geographically to find more of the same.
So,
what does this information now allow you to do?
For starters, if you are planning
a product launch, moving into franchising or thinking of expanding
into a new geographic area, by applying some mathematics and
a ‘weighting’ to take account of known competition and the brand
life stage, you can estimate what a specific geographic area
may deliver in terms of sales potential. Add to this your
knowledge of the effort needed to sell your product or service
and a realistic estimate of how many prospects (or customers)
a sales team could cope with, and this information can be used
as the basis to compute a set of ‘right-sized’ sales or franchise
territories, balanced by opportunity and drive time.
Territories
created in this way will deliver economic benefits, prevent
territory owners/sales teams being located too close to one
another or located in unsuitable areas, and ensure each has
sufficient territory to generate a revenue stream without undue
competition. If you operate a location based business model,
then choosing the right site to open your outlet has as much
to do with the demographic profile of your customers as it does
the physical location of the outlet.
With accurate customer profiles
and people or businesses grouped by segment, the right analytical
resource, tools and data - including competitor locations, traffic
patterns, parking, high target market density - you will be
able to determine how many outlets or branches you can open
in an existing market, where you should expand your network,
which outlets should be closed or consolidated.
You will also be able to select
the outlet, branch or other business locations that are profitable
and contribute strongly to your overall network. Perhaps most
importantly, customer profiles enable you to target the right
people using the right media and channel to get across your
marketing and sales messages.
What is scoring?
For those of you new to the concept
of using scores for database segmentation, profiling and to
then select individuals for targeting, the following example
should help.
Most people have at some time applied for an insurance policy
or credit of some kind - a loan, mortgage, finance for a new
car, etc. - and during the application process have been asked
questions such as age, length of residency, how many credit
cards, health history, etc.
For each of the answers given, data will have been entered into
a computer program that assigns a number (or score) to each
piece of information. This is usually termed a score card. The
way the numbers are then added together will depend on the formulae
used, but will greatly influence the decision to give you what
you are requesting.
The important thing to remember is that whilst each separate
piece of information may in its own right not be seen as important
and might otherwise be ignored, only when these items are combined
does the resulting information and its score become significant
and predictive.
A predictive model would usually
be created by a statistician and used to compare the characteristics
(or profile) of individuals who are known to represent, for
example, a good vs. bad risk. This produces a formulae and computes
a value (or score) for each individual. Depending on how high
or low the final score is, the lender or insurer can determine
the most appropriate offer for that individual and be fairly
confident in the degree of risk.
The picture to the right shows an example of how important various
pieces of information are in predicting who might respond to
a specific type of mailing or email campaign.
Direct marketing - using scores to target prospects
In direct marketing, to find the
most likely responders for your offer could well involve making
hundreds of separate or combined counts and selections, and
then only using only the information you believe is important
- i.e. maybe missing key predictors!

However, by using a scoring process,
the selection task can be greatly simplified. Each individual
can be allocated a single score based on their propensity to
take the kind of action you desire.
There will never be a single model or formulae that meets all
your targeting or profiling needs however.
A separate model and scoring formulae may need to be created
to optimise the targeting and response to each different offer
you make, or to achieve the results you desire. And remember,
customer needs' change over time as do the activities of
your competitors. What works well today may not work so well
in the future, so the art is to continually test, learn and
refine to get the most from your marketing spend!
Profiling - using tools such as FastStats to simplify the
process
Profiling
in market targeting is used to compare the distribution of a
group of individuals - based on their purchasing, behaviour,
etc., characteristics -
relative to
other individuals on your
customer or
prospect
database.
Once a profile has been created, a marketer
can then build predictive models
based on the results of that profile.
Predictive
models are used to score and segment your marketing database
to, for example, find prospects that ‘look like’ your existing
high value customers. This process helps you test and purchase
only the most responsive lists.
The model reports
to the right illustrate potential gains, revenues and profits
and has been created using
FastStats.
Applications
Typical applications for scoring
and profiling
include:
Selection
of look-alike prospects (i.e. prospects who match the profile
of selected customers)
Using scoring to grade
and select the best prospects from third party lists. See
also profiling with
TRAC geo-demographic data
Using scoring
to grade prospects to prioritise contact strategies by mail,
e-mail, telemarketing or face to face
Using different
analysis selections, base marketing priorities on: financial
risk or likelihood to churn (lapse or defect), respond,
purchase, upgrade, etc.
Profiling responders against the base of all those marketed
to in a test campaign, and score prospects in order to prioritise
who to select for the roll-out campaign
Developing sales and franchise territories, and identifying
where best to position outlets
The Statistics
When it comes to profiling and segmentation, many of the ways
this information is described in the first instance is in statistical
terms, and later these are translated in a more human speak.
To provide guidance as to some of the more popular statistics,
and what each means, definitions are as follows:
Data set - A data set (or dataset)
is a collection of data, usually presented in a table format.
Each column represents a particular variable (field). Each
row corresponds to a given piece of information - a number,
piece of text, etc.
Mean - this is the average,
or central tendency of a data set and is a measure of the "middle"
value of the data set.
All you have to do is add up
(sum) all the values in a set of data and then divide that
sum by the number of values in the dataset. Mean
Mode -
This is the value in a set that occurs the most often.
Mode
Range - The range is the spread of numbers
in a data set, the minimum to the maximum.
Range
Median - This
is the number that is in the middle of a range.
Median
Outliers - Extreme values that will skew the
analysis
More information about descriptive
statistics on Wikipedia
here
How Tech4T can
help you
Developing
models, profiles and scores typically requires extensive analytical
or consultancy projects, but Tech4T have the technology and
skills to greatly simplify the task.
One of the age old problems of
customer analysis, segmentation and predictive (or response)
modeling is being able to apply the results back to your marketing
database to improve targeting and hence grow customer value.
Another challenge is to make sure that
all relevant
information is used in the analysis process - even where data
is scattered across different systems and locations.
Fortunately we have an ideal solution.
We can merge and consolidate your data which can be supplied
to us in almost any format, undertake the customer value, market
potential, segmentation and profiling analysis, present the
results, and importantly append the outcome to your database
as a set of 'easy to use' indicators which can then
be used to make targeting selections. We can also provide
an on-line 'Targeting
Workbench' where you can conduct your own analysis
and then turn the results into new strategic and tactical direct
mail and e-mail campaigns.
Targeting Workbench
Step-by-Step Analysis Guide
Analysis Services
Geographic
Mapping
|