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Deal Flow Is Everything

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Title: Deal Flow Is Everything


1
Deal Flow Is Everything!
  • Projecting Deal Flow and Revenue for an
    Individual Technology Transfer Office Using AUTM
    Survey Data

March 6, 2004
2
Abstract
  • Strategic planning is critical for a growing
    technology transfer office, and such planning
    requires a prediction of deal flow and future
    revenues. Because of the nature of our
    businesswith licensing revenue dependent on the
    successful commercialization of early-stage
    technologies that must face many developmental
    and regulatory hurdlespredicting future revenue
    can be difficult and the results may seem
    unreliable.
  • We approached this problem by combining our
    offices deal-based model for staffing with
    estimates of expected licensing revenue per deal
    based upon data from the AUTM Survey. Because
    royalties on individual deals vary greatly,
    relying on deal revenue figures alone can only
    suggest general revenue trends. These trends
    become more relevant to long-term strategic
    planning in light of our predictions on the
    number of mature deals expected over time.

3
The Business Model
4
The Common Patent-Based Model
The UVAPF Deal-Based Model
5
Characteristics of the Deal-based model
  • disclosure rate drives licensing staff levels
  • extra duties for licensing staff (e.g.,
    monitoring patent prosecution, agreement
    compliance) influence work load
  • the relative disclosure rate is a measure of
    faculty satisfaction, and the research budget of
    the institution is a confirmation of expected
    disclosure rate AUTM average 3.9/10M
    research spending, UVAPF 5.3/10M AUTM
    Licensing Survey, 2002, UVAPF 5.7/10M in 2003
  • patent unlicensed technology? only if (1) in
    the budget, (2) some companies expressed interest
    if more data were available, (3) inventors have
    the funding to gather that data and are expected
    to have the data in a reasonable time

6
Do you fit the model?
  • Annual output AUTM average UVAPF
    model
  • new disclosures/licensing associate 22
    31 25
  • deals/licensing associate 7.5
    10.5 10
  • Data taken from AUTM Licensing Survey FY 2000

7
UVAPF, past 5 years
8
UVAPF, past 5 years
  • UVAPF licensing associates produce 10 deals per
    person each year staff experience may be a
    threshold influence average licensing
    experience of 0.9 years in 1999 increased to 1.75
    years in 2000 and has been increasing each year
    since.
  • be aware of licensing lag times when analyzing
    relationships between disclosures and deal flow
    at UVAPF, 43 of disclosures that get licensed
    are licensed in the year of disclosure, and 35
    are licensed the next year

9
Planning for the Future Using the Model
10
Assumptions
  • disclosure rate will increase over time as a
    reflection of the universitys increase in
    research funding UVA averages a 9 annual
    increase
  • only mature deals yield significant revenue
    based on our experience and our technology
    portfolio, deals yield revenue from year 7 to
    year 15
  • we cannot identify those deals that will yield
    significant revenue, so we rely on the average
    amount for revenue-generating deals we used the
    AUTM average of 146,646 AUTM Licensing Survey,
    2000
  • only a certain percentage of deals will yield
    significant revenue 20 of our current deals
    yield revenue, so we view a range of 10 to 30

11
Comparison of the Number of Mature
Deals(constant v. increasing staff)
12
Projected Revenue -constant staffing levels
13
Projected Revenue - increasing staff levels(1
new licensing FTE every 3 years)
14
Conclusions
  • UVAPF has plans to expand the licensing staff as
    required by the model, thus providing the best
    opportunity for growing revenue
  • even if an office does not follow the UVAPF
    model, plotting mature deals over time provides
    an image of future revenue and may help justify
    adding more staff
  • the major challenge of tech transfer office
    budgets we budget on an annual basis, but the
    income cycle is measured in decades
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