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An area hierarchy is a collection of a region and a number of levels of
sub-regions, for the particular industry and geography being processed by the
system. An area hierarchy describes the geographic parent-child database
relationships used in the calculations. For example, one area hierarchy for the
U.S. market has the entire nation as the region and three levels of sub-regions
as follows:
- Nation
- State
- Metro Areas (MSA)1
- County
Furthermore, once the system
calculations are complete, post-processing can also include a roll up of data
into any geographically based region or sub-region that is desired as long as
the sub-regions can be uniquely mapped into the desired region. An example of
the usefulness of this feature is the customized territories and regions many
companies or even government entities have for administrative and other business
purposes. This feature produces customized market data particular to the unique
regions defined. Post-processing can also include mapping of these regions.
The Annotation
Method
The system requires an extensive
annotation facilities, permitting the creation, categorization, searching,
filtering, and flexible reportage of notes covering virtually any data point
stored in the database. The annotation system allows for the consistent use of
input data by providing the user with a readily accessible reference to the
source of data and its inherent assumptions.
Segment Scoring
Allocation Fractions - Market Segments
The segmentation of any market into constituent market segments is a classic approach
to understanding and targeting customers. Most available market research data is not
segmented. This system is capable of accommodating any market segmentation scheme.
In the simplest case of two segments, the second segment is by default the remainder of
the market. For example, in the case where a market is divided into business and
residential segments, if the business segment fraction is 40%, then the residential
segment is 60%. Market segmentation can be very complex with many different categories of
customers such as urban seniors or rural families.
The Allocation of Markets to Market Segments
The allocation of markets to the market segments can be done at the region or
sub-regional level and is product-specific. It is generally done in advance of allocation
to providers and can be calculated separately for each time period.
The allocation fraction for the segment can be assigned by the industry analyst or
calculated using market factors such as the propensity to buy by product by market
segment. The allocation fraction can be calculated as follows:

where popk is the total population for the factors in the
calculation (e.g. number on business in a certain industry), popi is the
population for the particular bracket within that factor and ratingi is a
ranking of importance of the bracket. t is required to
adjust for relative scale across market factors. For example, one business may carry more
weight in terms of buying power than one household for a particular product.

where ST is the sum of all allocation fractions for all n segments for a
given product. AFs(i) is the allocation fraction for the market segment i. AFs(i)
can be assigned by an industry analyst or calculated by the
system. The sum of all allocation fractions will generally be equal one2 for any product and region.
Geo Scoring
This system calculates a score for any region or sub-region by product. The algorithms
sum a series of terms; each term and the overall algorithm have coefficients that can be
tuned to bring each market data point closer and closer to the actual market. The
algorithms use reliable, external market data inputs, such as demographic or firmagraphic
forecasts, to calculate the first market data value. The coefficients and profiles
refine that initial value. The systems coefficients and profiles use qualitative and
quantitative inputs from industry expert knowledgeable in the particular market dynamics
of the industry and the product being processed by the system.
Allocation Fractions - Geography
Geographic allocation fractions are computed using the input data. The algorithm
includes the calculation of an effective buying population:
 
where pop j,k is the actual population for a particular bracket of a market
factor and ratingj is the propensity to buy score for that population, for a
particular market factor with n brackets and a particular geographic area k.
The total effective buying population over all market factors can then be calculated as
follows:

where. b i
is the weighting coefficient for factor i; a k is the Geo Gain for region k.
The allocation fraction for a given sub-region and product can then be calculated.
The Allocation of Markets to Geographic Areas
Markets are allocated using the method described above in a top down fashion i.e. from
the largest region to the smallest sub-region. This approach protects the integrity of the
external market data at the largest region. This is not to say the system can not
calculate a new market size for the entire region by aggregating market sizes from
sub-regions.
From the lowest level, new aggregated regions can be customized. This can be done
simply if the geographic boundaries of the customized region are coincident with the
boundaries of the lower sub-region. If the boundaries are not aligned, then further
processing is required.
A second method is used to protect the data integrity. This method is described under
the Self Adjusting System section.
Provider
Scoring
Allocation Fractions Service Providers / Vendors
A similar method can be used to quantify the market share of service providers /
vendors active in the specific region or sub-region. In this case, the product profile is
replaced with a Service provider profile, the geographic weighting is replaced with a
provider weighting and Geo Gain is replaced with a Market Gain.
The Allocation of Markets to Service Providers / Vendors
The algorithm for a given product in a given region or sub-region for a given time
period can be calculated using:
where Mc is the current market size for that service provider, MT
is the total market size, Ma is the size of the market available to capture,
and ratingi is the rating for a particular market factor such as brand name
recognition or advertising budget. l
and b are weighting
coefficients. l is referred to as the Market
Gain. AFmarketshare is the market allocation fraction. Ratings are given using
a scale such as 1 to 100.
Market
Forecasting
Forecasting is a method of predicting a future market size. Forecasting can be done
manually time period by time period by assigning or calculating a growth rate to the each
time period for a given product at the highest level of the hierarchy. The forecasting
methodology is independent of this system. A variety of traditional forecasting techniques
can be applied to the input data such as regression or S-curve analysis.
Product profiles are also be used for forecasting. In this case, each product is
assigned one of a series of profiles that generically describe a set of product growth
trends that often vary by the stages of a product life cycle. Product profiles can be
displayed as a line or bar chart of growth rates versus time. Examples of product profiles
include a declining product that has reached the end of its life cycle and has
increasingly smaller growth rates in each subsequent time period
Inter-regional forecasts can be accomplished by holding a single region constant and
reallocating all market share assigned to it to all the other regions under study. This is
especially helpful when looking at traffic between regions.
The
Self-Adjusting System
The system is self-adjusting meaning that known or verified sub-regional market
data points can be substituted for calculated values. The system then computes the
difference between the reported and the calculated values and adjusts all related
allocated values to preserve the integrity of the regionally accepted market sizes. This
is not to say that the system could not calculate independent regional totals e.g.
national product revenues.
The computation of the difference can be used to automatically readjust coefficients in
the system so that calculated and reports values can be aligned and the forecasts refined.
Since there was many coefficients in the system, a careful analysis of correlation of
factors is necessary to accurately refine the forecast.
This self-adjusting feature of the system greatly increases the number of computations
needed to process the data.
System
Computations
Once all allocation fractions are calculated, the regions market sizes can be
allocated to the associated segments, sub-regions, and providers. If sub-regional reported
market sizes have been entered, then the reallocation described under the previous section
applies. Each allocation fraction is then multiplied by the appropriate market size for a
specific product and time.
A determination of the order and geographic level for each allocation is made. For
example, the market can be segment at the regional level, the allocated to the
sub-regions, then allocated to the providers. Any order for the three allocations is
possible. At a minimum, one scoring algorithm must be used. Depending upon the application
and need, one or more algorithms may not be necessary.
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