1 THE QUEST FOR BETTER DEFINITION OF THE PRODUCT LIFE CYCLE - AND CONSEQUENCES FOR LICENSING LES Chelsea Village 27 June 2003 John Ansell John Ansell Consultancy Thame, Oxfordshire, UK
Dec 29, 2015
1THE QUEST FOR BETTER DEFINITION
OF THE PRODUCT LIFE CYCLE
- AND CONSEQUENCES FOR LICENSING
LES Chelsea Village 27 June 2003
John Ansell John Ansell Consultancy
Thame, Oxfordshire, UK
2
1. Calculating Life Cycle Length: Longevity
2. Assessing Trends in Longevity
3. The Impact on Commercial Potential of Correcting Longevity
4. Better Defining the PLC Curve Sharpe
5. Overall Consequences for Licensing
THE QUEST FOR BETTER DEFINING THE PLC
- AND CONSEQUENCES FOR LICENSING
4Longevity - Definition
“ Time from first launch to peak sales ”
-a practical representation of product life span
e.g. Prozac
First launched Belgium 1986
Year of global peak sales 1998
Hence global longevity = 12 years
5
Why do products peak ?
• ADRs
eg Prepulsid (cisapride) – cardiac arrhythmias
• Exhaustion of patents rights
- but NB often beyond expiration of base patent • Competition
e.g. Zantac peaked 2 years before patent expiry
- competition from Pri/Losec
6
2001 ranking
Brand name
Marketer Year of first launch
Year of peak sales
Longevity (years)
1 Zocor Merck & Co 1988 not reached 13+2 Lipitor Pfizer 1997 not reached 4+3 Losec AstraZeneca 1988 2000 124 Norvasc Pfizer 1990 not reached 11+5 Procrit Johnson & Johnson 1988 not reached 13+6 Claritin Schering-Plough 1988 not reached 13+7 Celebrex Pharmacia 1999 not reached 2+8 Zyprexa Lilly 1996 not reached 5+
9 Prevacid TAP 1992 not reached 9+10 Paxil GlaxoSmithKline 1991 not reached 10+
Further selected products
15 Premarin Wyeth 1942 not reached 59+17 Augmentin GlaxoSmithKline 1981 not reached 20+18 Prozac Lilly 1986 1998 1244 Humulin Lilly 1982 2000 18
Longevity for selected products from global Top 50
John Ansell Consultancy / Decision Resources (2001)
7
• Adding years they have achieved so far:
Average longevity for Top 50 = 13.0 years
• 12/50 products have already peaked
Average longevity = 11.8 years
• But of the remaining 38 products yet to peak - excluding Premarin -
11 products already > 11.8 years
Calculating average longevity for
2001 Top 50 global products
9How representative are the Top 50 products ?
• But little correlation between size of product and longevity:
• All products down to $100 million global sales per annum in 2000 analyzed.
• 380 products in all. Searched for those that had peaked in 2000. Total = 40 (11%).
• Average longevity is 10.7 years compared with the Top 50 (6 products) = 12.3 years.
John Ansell Consultancy / Decision Resources (2001).
10
Level of sales ($000s) vs product longevity (years)
0
5
10
15
20
25
30
0 2,000 4,000 6,000 8,000
$(000)s
years
Little correlation between product size and longevity
• And remarkably, for the 12 smallest peaking products in
lowest, $200 million-$100 million band, average is 11.0 years,
slightly above average of 10.7 years for all 40 peaked products.
John Ansell Consultancy (2001) based on electronic data from Evaluate Pharma.
• Immediately below Top 50, longevities greater than for Top 50 itself.
12Trends in average longevity, 1994-2002
Source: John Ansell Consultancy (2003)
Average Longevity (years)
16.9
15.416.3
13.714.3
13.713.0 12.8
16.9
10
12
14
16
18
1994 1995 1996 1997 1998 1999 2000 2001 2002
13Longevities of Top 50 products, 1994 and
20011994
012345678
0 4 8 12 16 20 24 28 32 36Number of Years on the Market
Nu
mb
er o
f P
rod
uct
s
Peaked
Yet to peak
2001
0
1
2
3
4
5
6
0 4 8 12 16 20 24 28 32 36
Number of years on the Market
Nu
mb
er o
f P
rod
uct
s
Peaked
Yet to peak
• A cohort of established products 13+/14+ years on the market by 2001 continue to make headway:
13+: Zocor, Procrit Claritin, Epogen, Diflucan
14+ Cipro, Lovenox, Prinivil, Zyrtec
• These products have helped to bolster product longevity.
Source: John Ansell Consultancy / Decision Resources (2001)
14
• In 1994, five golden oldies (> 20 years old) represented in Top 50.
E.g. Ortho-Novum (then 32+ yr). But most have now disappeared
recently: Adalat 26 yr, Voltaren 23 yr, Atrovent 21 yr.
• Departure of golden oldies has often contributed to reduction then
in average longevity.
In particular: drop in 1998 coincided with departure of
Ortho-Novum 35+ yr, Ventolin 26 yr & Atrovent 21 yr.
• Very few golden oldies now left to drop out of Top 50.
Soon, oldest product likely to be Intron A (currently 17+ years).
• Hence this factor is running out of steam.
Trends: 1994-2001 Top 50s – Decline of the Golden Oldies
15
Trends: 1994-2001 Top 50s – Getting younger & healthier
• A fairly strong group of young, yet-to-peak products
have recently been entering Top 50.
• By 2001, 8 products with longevity of 4+ years or less in Top 50
– Highest number in any year.
Should help to stabilise longevity in future.
16Factors increasing product longevity since 1990
…and likely impact to 2015Patents/exclusivity
• USA--1984 Hatch-Waxman legislation gave up to five more years protection – growing positive impact since 1990.
“Evergreening” of products has strengthened effect. Clamp-down
by President Bush (Oct 2002) likely to “prematurely” terminate
patents on products, quickly forcing down longevity.
• Japan--1988 patent term restoration legalisation. Impact continues.
• Europe--Supplementary Protection Certificates from mid-1980s. Impact continues. Possible extension of exclusivity periods by EC in near future.
17Factors increasing product longevity since 1990
…and likely impact to 2015 (cont’d)• TRIPS (1994) Modest positive effect – as additional coverage is not for major markets. Subsequently undermined.• Difficulty for generic companies to introduce biotech generics Few signs of solutions/regulatory mechanisms: increasing impact.• Faster regulatory review--particularly by FDA. Appointment of new Commissioner - hopefully - will revive Agency.
• Our research over 1994-2001 period shows Top 50 has become “healthier” No golden oldies left to drop out and further reduce average longevity.
18Factors decreasing longevity since 1990
…and likely impact to 2015• Companies achieving faster global roll outs
Still continuing, though effect likely to moderate.
• Increasing competition — very powerful factor — likely to intensify further, apart from possible short-term decline resulting from sharply-falling number of new products. But from about 2006/2007, projected to increase - hence promotion will intensify further.
• Average time to bring product to market shows signs of increasing again: CMR International member company data (2000): 1996: 11 years 1999: 13 years. May increase further – though genomics could in time help to reduce.
19Conclusions
• Longevity has been declining in recent years
despite impact of all patent term restoration/data exclusivity
legislation – which must have had positive effect.
• Net impact of all factors is continuing decline Assumption for products to 2010:
- but reasonable to assume average longevity will stay above 12 years till end of current decade at least.
21The Impact on Commercial Potential of Correcting Longevity ‡
• Some current forecasting still assumes 6, 5 or even 3 years
though 10 years now becoming more common. - but still way short of 12 years suggested above.
• Impact of revised longevity varies depending on current assumptions - but will often be at least two-fold.
• Risk Added years normally ought to be favourably discounted – as chances of attaining turnovers of an already-growing product should be good.____________________________________________________________________
‡ Material in this section covered in detail in: Ansell. J, More Mileage Than Meets the Eye: Revealing True Product Potential and ItsImpact, Pharmaceutical Industry Dynamics, Spectrum, Decision Resources, May 2000. Ansell, J, Quantifying New Product Needs: Productivity Targets Considered at CompanyLevel, Pharmaceutical Industry Dynamics, Spectrum, Decision Resources (in press).
22Impact of Correcting Longevity (cont’d)
• Justifies devoting more efforts to additional indications / presentations.
further extension of longevity.
• Means need for more-sustained promotion – but such investment will usually be below average risk
– with quick pay-off.
• Average output from top 20 companies of 1.5 products/annum
(c.f. current productivity of 1 per annum)
could well be sufficient to survive and prosper.
• Reduction of threshold for new product viability: for GP product in typical major company, has been $600-800 million. But companies now becoming more flexible on cut-off.
23Impact of Correcting Longevity – a Limitation !
• NB – averages take you only so far…
Wide variation between products – in 2002 Top 50 longevity
from:
2 years e.g. Celebrex
to
20 years Augmentin !
26S-shaped curves
John Ansell Consultancy / Decision Resourcesbased on electronic data from Evaluate Pharma.
Norvasc
0500
1000150020002500300035004000
Sa
les
(m
illio
ns
of
do
llars
)
Lipitor
0500
1000150020002500300035004000
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sa
les
(m
illio
ns
of
do
llars
)
27
The full S-shape
John Ansell Consultancy/ Decision Resourcesbased on electronic data from Evaluate Pharma.
Biaxin/Klaricid
0
200
400
600
800
1000
1200
1400
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sa
les
(m
illio
ns
of
do
llars
)
28
Gradual build-up
John Ansell Consultancy, Decision Resources based on electronic data from Evaluate Pharma.
Lovenox/Clexane
0
200
400
600
800
1000
1200
1400
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sa
les
(m
illio
ns
of
do
llars
)
29
Slow starters
Cipro
0200400600800
100012001400160018002000
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sal
es (
mill
ion
s o
f d
olla
rs)
John Ansell Consultancy, Decision Resources based on electronic data from Evaluate Pharma.
30Start - stop - start productsNeupogen
0200400600800
1000120014001600
Sa
les
(m
illio
ns
of
do
llars
)
Zofran
0
200
400
600
800
1000
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sa
les
(in
mill
ion
s o
f d
olla
rs)
Intron A
0200400600800
1,0001,2001,4001,600
Sa
les
(in
mill
ion
s o
f d
olla
rs)
John Ansell Consultancy /Decision Resources based on electronic data from Evaluate Pharma.
31Start - stop - start - stop -
start …
Primaxin
0
100
200
300
400
500
600
700
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
Sa
les
(in
mill
ion
s o
f d
olla
rs)
John Ansell Consultancy, Decision Resources based on electronic data from Evaluate Pharma.
33
5. Overall consequences for licensing
• Reassess corporate needs depending on any adjustment:
- How many new products do you really need to acquire rights to ?
- Can you lower turnover threshold for new product viability ? E.g. look for viable medium-sized products to add to existing core therapeutic areas.
- Do you really need to merge ?
• Don’t undervalue your IP by underestimating longevity
34
Overall consequences for licensing (cont’d)
• Valuation of commercial potential of IP is fundamental to eventual terms for any deal.
Commercial potential is function of Area Under the Curve (AUC), a factor of:
– Time i.e. product life span (approximated by product longevity).
– Shape of sales curve.
35Overall consequences for licensing (cont’d)
• Since our curves showed wide variation in shape as well as in length:
– Avoid being orders of magnitude out with forecasting by individualising assumptions:
Product-by-product forecasting advisable whenever possible.
Cost of revising assumptions, tailoring forecasts: $000s
Minuscule c.f. commercial potential of products: ($m/$b).