PRODUCT LAUNCH FACTORS DEFINITIONS
The data given is based on research into the industry product launches. Product
launches include actual new products as well as product or technology
innovations and product substitutions.
ADOPTION RATES: Product
Launch Adoption Rates were identified during the Surveys of End Users in the
countries covered. Adoption rate is the term used to denote the likely level of
End Users adoption of new products and services of the Product. Thus when
interviewed a percentage of End Users stated that they were "likely"
or "very likely" to purchase (i.e. adopt) new products if introduced to the market. This percentage forms the Adoption Rate.
CONVERSION RATIOS: In
addition to the Adoption Rates, it is also necessary to analyze the Conversion
Ratio, i.e. the ratio at which potential new products adopters
are converted into buyers.
Not all End Users who stated that they were likely to adopt new
products will actually do so; thus this ratio is dependent on all the
marketing factors e.g. the distribution channel, numbers of the Distributors, sales
promotion factors, et cetera, as isolated in the following pages on product
launches. These ratios are based on past experience of product launches of
the Product.
In conjunction with the Product Launch Adoption Rates one can use the
Conversion Ratio to determine the actual level of likely Product Launch sales.
Thus the following calculation will provide the likely level of sales at
Product Launch:-
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AR |
|
1 |
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|
PLS |
= |
U x |
( |
x |
) |
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100 |
|
CR |
|
|
Where,
PLS |
= |
Product Launch Sales |
U |
= |
Total Universe |
AR |
= |
Adoption Rate |
CR |
= |
Conversion Ratio |
THE RATIOS GIVEN ARE 1:X
SALES GROWTH: It is
possible to isolate likely sales growth data for the Product. The percentages
given below are the likely average annual sales growth for product
launches in the countries concerned. The data is based on current and
forecasted economic conditions.
PRODUCT LAUNCH DATA: In
addition to the normal or usual industry costs, during the launch of a product
greater costs are experienced. These costs are shown separately in the
following tables.
It is possible to isolate these costs based on past experience of product
launches.
There are a series of spreadsheet and database tables for this section, and each table will consist of a number of records for each of the specific products, markets, operations, geographic locations and competitors areas:
TABLE |
Datafile |
PRODUCT LAUNCH FACTORS |
PLA |
PL2 – PLP | |
PL3 – PLT | |
PL4 – PLO | |
PRODUCT LAUNCH FACTORS - COMPETITOR |
PL5 - PLC |
PRODUCT LAUNCH FACTORS - MAJOR CITY |
PLB |
The tables for this section provide a Time Series of 7 years (headings indicate Field names) for each of the above Sections:
PRODUCT LAUNCH FACTORS | ||||||||
CODE |
CRITICALS |
A_ |
B_ |
C_ |
D_ |
E_ |
F_ |
G_ |
PL_01 |
ADOPTION RATES : PRODUCT REVISIONS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
PL_02 |
ADOPTION RATES : NEW PRODUCTS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
PL_03 |
CONVERSION RATIOS : PRODUCT REVISIONS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
PL_04 |
CONVERSION RATIOS : NEW PRODUCTS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
PL_05 |
POTENTIAL FIRST YEAR GROWTH : PRODUCT REVISIONS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
PL_06 |
POTENTIAL FIRST YEAR GROWTH : NEW PRODUCTS |
Year 1 |
Year 2 |
Year 3 |
Year 4 |
Year 5 |
Year 6 |
Year 7 |
The above tables are then applied to the specific products, markets, operations, geographic locations and competitors for under 15 sub-headings (headings indicate Field names):
Items being considered (x) |
Products, markets, operations, geographic locations and competitors | |
Field Name for Item |
Field Name for Item Weight |
For example: |
Head01 |
Headx01 |
Product 1 |
Head02 |
Headx02 |
Product 2... |
Head03 |
Headx03 | |
Head04 |
Headx04 | |
Head05 |
Headx05 | |
Head06 |
Headx06 | |
Head07 |
Headx07 | |
Head08 |
Headx08 | |
Head09 |
Headx09 | |
Head10 |
Headx10 | |
Head11 |
Headx11 | |
Head12 |
Headx12 | |
Head13 |
Headx13 | |
Head14 |
Headx14 | |
Head15 |
Headx15 |
Criticals | ||||||||||||
CODE |
CRITICALS |
Crit_A |
Crit_B |
Crit_C |
Crit_D |
Crit_E |
Crit_F |
Crit_G |
Crit_H |
Crit_I |
Crit_J |
Crit_K |
PL_01 |
ADOPTION RATES : PRODUCT REVISIONS |
1.2 |
0.9 |
1.0 |
1.12 |
0.90 |
0.88 |
0.75 |
The above fields (Crit_A to Crit_K) represents the average VALUE for the entire Factor, Eg. for PL_01 ("ADOPTION RATES : PRODUCT REVISIONS") across all Items, Eg. for headings A to G.
Headings A to G is a Time series.
The individual cells (Axx – Kxx) represent the VALUE for EACH YEAR, Eg. Current to 2028.
Cells – where, A01-K01 = A - K, etc. | ||||||||||||||||||||||
A01 |
B01 |
C01 |
D01 |
E01 |
F01 |
G01 |
H01 |
I01 |
J01 |
K01 |
… To … |
A15 |
B15 |
C15 |
D15 |
E15 |
F15 |
G15 |
H15 |
I15 |
J15 |
K15 |
1.10 |
1.00 |
0.98 |
0.80 |
0.70 |
0.80 |
Where, the xx, (i.e. 01-15) represents the VALUE for each Heading (i.e. Head01 – Head15)
The Weight for each Heading is found in fields Headx01 to Headx15
Field Name for Item Weight |
Headx01 |
Headx02 |
Headx03 |
Headx04 |
Headx05 |
Headx06 |
Headx07 |
Headx08 |
Headx09 |
Headx10 |
Headx11 |
Headx12 |
Headx13 |
Headx14 |
Headx15 |
Graphically, one can establish a base reference line for each Item (Eg. Headx) by multiplying the Crit_x field with the Headxx field, viz, Crit_A x Headx01.
Then one can plot the value of each Item in relation to the base reference line and the other Item in the set by multiplying the A01 field with the Headx01.
Time Series representation for Product Launch tables:
A_DEF |
B_DEF |
C_DEF |
D_DEF |
E_DEF |
F_DEF |
G_DEF |
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C |
|
||||||||
E |
|||||||||
L |
|||||||||
L |
x |
||||||||
x |
z |
z= Base Reference (Crit_A – Crit_G) |
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V |
x |
z |
z |
z |
|||||
A |
z |
z |
z |
x |
x |
x |
o |
o= Head02 |
|
L |
o |
x |
x= Head01 |
||||||
U |
o |
o |
o |
||||||
E |
o |
… Etc. |
|||||||
o |
|||||||||
Current |
Year +1 |
Year +2 |
Year +3 |
Year +4 |
Year +5 |
Year +6 |
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RELATIVE IMPACT ON SALES VOLUME |