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  • Shea & Company

    www.shea-co.comMember FINRA & SIPCCopyright 2018

    Software as a Service: A Primer on SaaS Metrics & BenchmarksDecember 2017

    Boston200 Clarendon Street, Floor 25Boston, MA 02116

    Peter M. FalveyManaging Director [email protected]

    Jeffrey G. [email protected]

    Michael H.M. SheaManaging [email protected]

    Brad E. [email protected]

    San Francisco601 Montgomery Street, Suite 2010San Francisco, CA 94111

    Michael S. BarkerManaging [email protected]

    Misha CvetkovicVice [email protected]

    Christopher J. [email protected]

  • Copyright 2018 Shea & Company

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    NASDAQ:[PVSW]

    1

  • Copyright 2018 Shea & Company

    Executive Summary: The Importance of Unit Economics

    2

    When we work with our software clients, a large part of the focus of preparation and buyer diligence is centered aroundunit economics. Understanding each metric explains a different facet of a business, but looking at unit economics as awhole can yield valuable insights into a business ability to scale, achieve profitability and its long-term capital needs

    I. Retention Rates II. Sales Efficiency / CAC

    III. Gross Margin & Cost to Serve

    IV. Average Revenue per Account

    V. Lifetime Value

    VI. Customer Payback and Profitability

    VII. Scalability

    Inputs to Unit Economic Analysis

    VIII. High Retention & Sales Efficiency

    Commentary

    Inputs for Analysis of Unit Economics

    Not surprisingly, we view the components of life time value (retention rates, sales efficiency, gross margin and ARPA) as the building blocks of any recurring revenue business

    Each of these metrics explains a different facet of a business (e.g. retention for how mission critical a product is and how loyal customers are, sales efficiency for how well the go-to-market engine is working) and it can be instructive to benchmark against other businesses

    However, it can be difficult to consider any SaaS metric in isolation. While there is a wide universe of very valuable benchmarking data for key metrics, the reality is that each business is unique, and requires a holistic view of all metrics for appropriate context

    Output: Unit Economic Analysis

    We have found that looking at unit economics holistically is the best way to understand a business and can inform what the long-term profitability of a business can look like, how a business can scale and its long term capital needs

    We rely on conventional, accepted metrics like customer lifetime value and payback periods, but also try to understand what happens to unit economics as a business starts investing heavily in growth

    In practice, we have found that supplementing conventional metrics with business-specific analyses is important to account for the unique aspects of any business

    Key Metrics

  • Copyright 2018 Shea & Company

    I. Retention Rates: Key Metrics and Benchmarks

    Gross $ Retention Rate

    A conservative measurement of recurring revenue retention, calculating on an annualized basis the rate at which a given dollar of revenue is retained from year to year, without credit for upsells

    Includes deductions for cancellations, reductions and price cuts (most conservative methodology), without adding new sales or upsells, other than price increases for the same revenue cohort

    $ % = 1 ($ +$ )

    $ 1

    Net $ Retention Rate

    A measure of the overall change in the base of recurring revenue from one year to the next, including upsell, downsell (both inclusive of price changes), and cancellations

    Net $ retention is the most common reported retention metric by public companies

    $ % = 1 + ($ $ $ )

    $ 1

    Customer Retention Rate

    A measure of the % of individual customers or accounts retained in a given year

    Customer retention rate is also used to calculate the implied lifetime for use in LTV analysis

    % = 1

    1

    () = 1(1 %)

    or 1 %

    Retention Rates vs. Renewal Rates

    For businesses with an average customer contract term of 1+ years, calculating all retention rates based only on the contracts up for renewal is a more accurate measure of retention. Example:

    $ % = 1 ($ +$ )

    $

    Overview of Retention Metrics Benchmarks

    We view retention measures as the single most important metric among all SaaS metrics, with gross $, net $ andcustomer retention metrics providing different perspectives on the health of the customer base

    87%

    72%

    91%

    SheaCo -Enterprise

    SheaCo - SMB Public

    110%101%

    120%

    SheaCo -Enterprise

    SheaCo - SMB Public

    Gross $ Benchmarks

    Net $ Benchmarks

    Enterprise and SMB benchmarks from Shea & Company internal data

    3

  • Copyright 2018 Shea & Company

    Customer Waterfal l , ACV

    Quarterly Results Annual

    Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Year 1 Year 2

    Beginning ACV 100$ 107$ 116$ 127$ 139$ 153$ 169$ 187$ 100$ 139$ (+) New ACV Added 5 6 7 8 9 10 11 12 26 42 (+) Upsell ACV 5 6 7 8 9 10 11 12 26 42 (-) Downsell ACV (1) (1) (1) (2) (2) (2) (2) (2) (5) (8) (-) Cancelled ACV (2) (2) (2) (2) (2) (2) (2) (2) (8) (8) Ending ACV 107$ 116$ 127$ 139$ 153$ 169$ 187$ 207$ 139$ 207$

    Beginning Customers 120 121 124 128 134 141 150 160 120 134 (+) New 5 7 9 11 13 15 17 19 32 64 (-) Lost (4) (4) (5) (5) (6) (6) (7) (8) (18) (27) Ending Customers 121 124 128 134 141 150 160 171 134 171

    Gross $ Reten t ion

    Downsell ACV (1)$