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Posts from the ‘SaaS Economics’ Category

Oct 7

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Transactions and Complex Selling: Strong Catalysts of Cloud Computing Growth

Enterprise software vendors need to challenge themselves to deliver significantly more value if the potential for cloud computing is going to be achieved .

Instead of just going for the low-end, easily customized processes within analytics, CRM, supply chain management, ERP, pricing or service, vendors need to take on the more challenging, complex hard-to-solve problems enterprises have.

As I am completing more research on personas, I’m finding what CIOs really look for in SaaS apps.  Flexibility and ease of workflow support, intuitive user interface design without sacrificing functionality, and support for analytics, business intelligence and knowledge management systems integration are all mentioned often.

Nearly all of them also mention that the existing generation SaaS applications on the sell-side, from CRM to order capture and order management aren’t taking on the more challenging areas of their strategies.  The result is the CIOs are still relying on legacy, on-premise apps in areas of their companies that are ready for change to SaaS-based applications.  Cloud platforms are taking on these more complex, challenging problem areas, yet innovation still lags the needs in the market.

Transactions Are The Fuel of Cloud Infrastructure Growth  

CIOs are focusing on how to exceed the expectations of their internal customers at the workflow and interface level while infusing SaaS apps with analytics, business intelligence and knowledge management support.  What’s missing is the killer transaction platform layer and transaction-based applications.  Gartner’s report, A Workforce Without Humans: Three Ways Technology Will Eliminate Skilled Jobs in the U.S. Through 2020 by Kenneth F. Brant by Johan Jacobs has the following graphic which shows CIO’s estimates of migration to cloud-based IT infrastructure and applications which supports this point.

Source: Maverick Research: A Workforce Without Humans: Three Ways Technology Will Eliminate Skilled Jobs in the U.S. Through 2020 by Kenneth F. Brant by Johan Jacobs

Much of the report is based on the results of Gartner’s 2011 survey of U.S. CIOs. Additional insights from the survey include the following:

  • Virtualization and cloud computing are the two top-ranked U.S. CIO technology priorities for 2011.
  • 83% of U.S. CIOs estimated that more than half of their transactions would be conducted on a cloud infrastructure by 2020.
  • 79% of the respondents predicted that more than half of their transactions would be completed on applications leased using the SaaS platform by 2020.

For cloud infrastructure platforms and SaaS applications to deliver that level of transaction volume and support, there needs to be a major shift in how enterprise vendors develop software. Making better use of analytics, business intelligence and knowledge in the enterprise is key. Designing applications that make information and knowledge sharing intuitive is critical.

The following figure from the same report cited earlier shows the relationship of technologies to potential business value.  Many CRM and sell-side vendors tend to focus on being a substitute or just barely delivering increases in human productivity.

Going after the hard work of optimizing pricing strategies, call centers, making multichannel selling strategies profitable and getting the most out of social networks to make the customer experience exceptional will deliver major gains in productivity.  It’s been my experience during the persona interviews that for any SaaS vendor to really excel here they need to get beyond human productivity and make it possible for enterprises to deliver exceptional customer experiences daily.

Creating SaaS applications that take on real complexity earns trust too, which no amount of pure efficiency can compete with.

Source: Maverick Research: A Workforce Without Humans: Three Ways Technology Will Eliminate Skilled Jobs in the U.S. Through 2020 by Kenneth F. Brant by Johan Jacobs

An Example: SaaS in Manufacturing

The following table compares the strategies and systems used in a typical manufacturing company.  Enterprise apps vendors for the most part are focused on make-to-stock and assemble-to-order automation and efficiency (SAP ByDesign for example).

As the continuums move from left to right, the process, systems and strategy challenges exponentially increase.  As a result there are only a few vendors who can manage the more complex engineer-to-order requirements in manufacturing for example. Transactions there are very small in number, yet orders of magnitude more profitable.  This is just an example of many areas in enterprises that need major improvement.

Instead of just focusing on the easy processes and strategies on the left, vendors need to go after the more difficult, complex selling and transaction challenges on the right.  This is why CIOs want SaaS applications that are easy to customize from a user interface and workflow standpoint, while at the same time supporting analytics, BI and knowledge management.  The goal is to slot them into these more challenging areas of their business and transform their company’s intelligence and expertise into profitable growth.

Bottom line: The true catalyst of cloud computing growth isn’t just SaaS economics; it’s how effectively enterprise software vendors address the very difficult transaction, order management and selling challenges their potential customers face all the time. When that happens, the many optimistic forecasts of cloud adoption in the enterprise will take a step closer to being fulfilled.

Aug 13

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SaaS-based Analytics and Business Intelligence Market Update, August 2011

Challenging, uncertain economic times accelerate sales cycles and lead to more closed deals for business intelligence software providers.  Companies get an urgency to reduce costs and risks, relying on the insights gained from these applications.

There’s an interesting dichotomy starting to emerge in how experts and analysts define just how these markets will mature however.  Both agree that economic uncertainty are growth catalysts yet they diverge on adoption rates, roadblocks, and which analytics and BI technology will dominate in the years ahead.

This week I read Balancing Custom And Packaged Apps In Your Application Portfolio Strategy by George Lawrie, Mike Gilpin and Adam Knoll from Forrester and the latest Hype Cycle of Business Intelligence, 2011 by a collection of Gartner authors led by Andreas Bitterer.  I’ve summarized the key points of each below.

Forrester Sees SaaS Applications Overtaking Custom Application Development

Forrester sees SaaS-based applications starting to replace in-house custom application development, gathering momentum through 2013.  Gartner, with their Hype Cycle for Business Intelligence, 2011 just released this week, shows BI platforms having greater near-term benefit than SaaS-based analytics and BI.  Custom application development projects are going to face continued pressure to keep up with business requirements that SaaS applications are proving able to handle more effectively and economically than ever before.

In-house development makes more sense for specific analytics and reporting requirements,  yet will continually be eroded by SaaS-based applications that can meet most requirements at a lower cost.  Forrester has in the past said SaaS-based adoption of analytics applications in general and predictive applications specifically would be very slow due to data integration challenges.  This study points to a potential shift in their mindset, as the data shows SaaS-based analytics beginning to replace custom in-house developed applications.

Here are the key take-aways from the report:

  • Analytics processes are supported 79% of the time with custom application development.  Procure-to-pay (33%) and record-to-report (33%) are the second-most supported.  Multiple responses were allowed in the survey.
  • When asked which process areas they are automating with SaaS, analytics (33%), record-to-report (18%), order-to-cash  (15%), and purchase-to-pay (12%) were the most common responses.  There was a small sample size on the Forrester report and the most startling insight was how quickly respondent companies plan to migrate from custom application development to SaaS-based analytics and BI.
  • Nearly 50% of the respondents to the Forrester survey have between five and 19 SaaS-based applications today with 18% expecting to have 35 or more by 2013.  In addition 63% of respondents expect to deploy between five and 34 SaaS-based applications by 2013, a significant shift in just two years.
  • 36% of survey respondents say their  SaaS applications run completely standalone.  Another 36% mention they use a combination of on-premises Master Data Management (MDM) and process integration tools.  Ironically only 3% are deploying their applications on cloud-based MDM or process integration-based platforms.

Gartner’s Hype Cycle for Business Intelligence, 2011

Unlike the hype cycle for cloud computing, this hype cycle has fewer technology categories (25), a narrative firmly grounded in business process and strategy, and more practical and pragmatic insights versus just theoretical.  At 50 pages it’s  quick read and while there are many excellent points made, I have summarized the key take-aways pertaining to the highest hype points and SaaS adoption below:

  • Mobile Business Intelligence (BI) is the latest entry to the Hype Cycle for Business Intelligence based on the massive hype around analyzing locational and application data.  The hype surrounding the Apple iPad Series, Google Android and other tablet and smartphone platforms has made this one of the most hyped areas of the last year according to the analysis.
  • Consumerization, Decision Support, analysis of non-traditional data and “Big Data” are the areas of the greatest innovation today.  The hype cycle points to search, mobile, visualization and data discovery being the catalyst of Consumerization.  Predictive analytics, which is on the Slope of Enlightenment on this latest hype cycle, is critical to decision support.  The non-traditional and “Big Data” area of innovation is further supported by content, text analytics, in-memory DBMSs and columnar DBMSs.
  • SaaS-based Business Intelligence is at the apex of the Peak of Inflated Expectations yet will continue to have low adoption rates.  Gartner believes that the  lack of trust in third parties managing confidential data, and the inertia and fear many companies have in moving to a new architecture are slowing adoption.  This is in contrast to the survey Forrester released this week showing analytics being one of the most popular SaaS-based applications planned by 2013 in their base of respondents.
  • Gartner sees SaaS-based Business Intelligence of the most value to midsize and smaller organizations who lack IT staff yet have very specific, targeted information needs.  Website analytics, social media monitoring, dashboards, predictive analytics and Excel as a BI front-end all apply.  Both Forrester and Gartner agree on this point and see this type of custom development going away quickly internally.
  • There is a massive amount of hype surrounding in-memory computing, particularly from SAP at its Sapphire conferences .  Gartner believes that SAP’s vision of in-memory computing exceeds  in-memory analytics to include analytical and transactional processing.  As a result, In-Memory Database Management Systems are at the Peak of Inflated Expectations.


Source: Hype Cycle for Business Intelligence, 2011, Published 12 August 2011 | ID:G00216086 By Andreas Bitterer.  Gartner, Inc.

What Both Agree On

Forrester’s survey shows SaaS eventually replacing custom application development while Gartner’s Hype Cycle for Business Intelligence shows the practical, pragmatic technologies including dashboards, predictive analytics combined with the more complex Business Activity Monitoring (BAM), Business Intelligence Platforms, and Data-Mining Workbenches delivering the most value.  Despite these differences, both agree on the following:

  • The overall market for BI, Analytics and Performance Management continues to grow at between 8 to 12% per year depending on the forecast used.  The following forecast is from the report  Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson.
Source: Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson
  • 2011 continues to see large, strategic deals for analytics and BI closing more rapidly than they have in the past.
  • SaaS-based analytics and BI continues to gain a greater share of spending in midsize and smaller companies.  Both also agree that the proliferation of smaller SaaS-based analytics and Bi vendors concentrating on a specific niche have successfully displaced in-house custom development of competitive applications.  Trust in the smaller vendor, their track record, customer references and financial viability are what are winning deals for SaaS-based analytics and BI software providers today.
  • The market transition from build to buy is now in full force as budgets become available again.  This is key assumption of both analyses and means that smaller, more niche-oriented SaaS-based analytics and BI vendors stand a chance to get new reference accounts and grow, despite a challenging economy.

Jul 27

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Gartner Releases Their Hype Cycle for Cloud Computing, 2011

Calling the hype around cloud computing “deafening”, Gartner released their annual hype cycle for the 34 different technologies in a 75 page analysis today.  You can find the Hype Cycle at the end of this post and I’ve provided several of the take-aways below:

  • The industry is just beyond the Peak of Inflated Expectations, and headed for the Trough of Disillusionment. The further up the Technology Trigger and Peak of Inflated Expectations curve, the greater the chaotic nature of how technologies are being positioned with widespread confusion throughout markets. The team of analysts who wrote this at Gartner share that conclusion across the many segments of the Hype Cycle.
  • Gartner states that nearly every vendor who briefs them has a cloud computing strategy yet few have shown how their strategies are cloud-centric. Cloudwashing on the part of vendors across all 34 technology areas is accelerating the entire industry into the trough of disillusionment. The report cites the Amazon Web Services outage in April, 2011 as a turning point on the hype cycle for example.
  • Gartner predicts that the most transformational technologies included in the Hype Cycle will be the following: virtualization within two years; Big Data, Cloud Advertising, Cloud Computing, Platform-as-a-Service (PaaS), and Public Cloud computing between two and five years; and Community Cloud, DevOps, Hybrid Cloud Computing and Real-time Infrastructure in five to ten years.
  • There continues to be much confusion with clients relative to hybrid computing.  Gartner’s definition is as follows ”Hybrid cloud computing refers to the combination of external public cloud computing services and internal resources (either a private cloud or traditional infrastructure, operations and applications) in a coordinated fashion to assemble a particular solution”. They provide examples of joint security and management, workload/service placement and runtime optimization, and others to further illustrate the complex nature of hybrid computing.
  • Big Data is also an area of heavy client inquiry activity that Gartner interprets as massive hype in the market. They are predicting that Big Data will reach the apex of the Peak of Inflated Expectations by 2012.  Due to the massive amount of hype surrounding this technology, they predict it will be in the Trough of Disillusionment eventually, as enterprises struggle to get the results they expect.
  • By 2015, those companies who have adopted Big Data and extreme information management (their term for this area) will begin to outperform their unprepared competitors by 20% in every available financial metric. Early use cases of Big Data are delivering measurable results and strong ROI.  The Hype Cycle did not provide any ROI figures however, which would have been interesting to see.
  • PaaS is one of the most highly hyped terms Gartner encounters on client calls, one of the most misunderstood as well, leading to a chaotic market. Gartner does not expect comprehensive PaaS offerings to be part of the mainstream market until 2015.  The point is made that there is much confusion in the market over just what PaaS is and its role in the infrastructure stack.
  • SaaS performs best for relatively simple tasks in IT-constrained organizations. Gartner warns that the initial two years may be low cost for any SaaS-based application, yet could over time be even more expensive than on-premise software.
  • Gartner estimates there are at least 3M Sales Force Automation SaaS users globally today.

Bottom line: The greater the hype, the more the analyst inquiries, and the faster a given technology ascends to the Peak of Inflated Expectations. After reading this analysis it becomes clear that vendors who strive to be accurate, precise, real and relevant are winning deals right now and transcending the hype cycle to close sales.  They may not being getting a lot of attention, but they are selling more because enterprises clearly understand their value.

Source: Gartner, Hype Cycle for Cloud Computing, 2011 David Mitchell Smith Publication Date: 27 July 2011 ID Number: G00214915 © 2011

Jul 24

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Predicting Cloud Computing Adoption Rates

From conservative, single digit adoption rates to hockey-stick projections of exceptional growth, analyst firms, venture capitalists and government ministries are weighing in on how they see cloud adoption progressing.

While each of the adoption rate predictions vary significantly in terms of their methodologies and results, all rely on the assumption that SaaS applications including CRM will continue to gain momentum.  The user adoption rates vary on how fast the momentum is, yet all share this assumption.  Speed, increased user adoption rates, and the ability to more closely align software to business goals are cited most often as the biggest benefits.

Where the projections vary most is whether enterprises will eventually migrate the majority of their applications to the cloud or not.  Forrester, Gartner and others see a hybrid cloud architecture emerging in the enterprise and forcing the issue of legacy systems migration by 2015.  As would be expected, vendor-driven research sees an “all or nothing” world in the near future.

Sanity Check

Wanting to see how reliable the figures were showing rapid cloud adoption in the enterprise, I did a quick sanity check.  Taking the  distribution of sales by segment for Salesforce.com and their annual revenue growth rate, then normalizing it across all segments, enterprise emerges as their strongest segment by a wide margin in 2015.  It had a 15%+ compound annual growth rate (CAGR) from 2011 – 2015 just taking their current sales by segment distribution of sales and extrapolating forward.  Data points like this and the market factors behind them is why SaaS is often used in these studies as a leading indicator of broader cloud adoption.

Adoption Rate Round-Up

  • Forrester found that SaaS will outgrow all other cloud services, achieving 37% adoption in 2011 growing to 50% by 2012.  In previous studies Forrester has shown that SaaS is a major growth catalyst of ongoing investment in IaaS and PaaS in enterprises. Source: Source:  Forrsights: The Software Market In Transformation, 2011 And Beyond Shifting Buying Preferences Lead To New Software Priorities by Holger Kisker, Ph.D. with Pascal Matzke, Stefan Ried, Ph.D., Miroslaw Lisserman  Link: http://bit.ly/ijJy70  The following table is from the report:

  • Microsoft Global SMB Cloud Adoption Study released in March, 2011 is one of the most comprehensive done this year on this topic. Of the many findings, the study predicts  39 % of SMBs expect to be paying for one or more cloud services within three years).  One of the best studies on cloud adoptions done this year Source: Study Results Document (PDF (22 pages): http://bit.ly/gN8yTx

  • North Bridge Venture Partners, GigaOM PRO and over a dozen research partners completed the study The Future of Cloud Computing 2011.  The study found 13% expressed high level of confidence in cloud computing for enterprise applications, with 40% experimenting and 10% saying they will never use cloud-based platforms as they are too risky. A presentation of the results can be found here:

Source: http://futureofcloudcomputing.drupalgardens.com/2011-future-cloud-computing-survey-results

  • Springboard Research (Forrester) completed a study of cloud computing adoption in Asia finding 31% of companies with 50 or fewer PCs will adopt cloud-based applications in 18 months, 56% with up to 500 PCs.  The key findings are available for download from the source URL below the infographic.

                                     Microsoft Asia is making this available for download here: http://bit.ly/jWjOj1

  • TechTarget published their analysis of virtualization and cloud computing adoption in the study, State of virtualization and cloud computing: 2011.  Of the many findings, a few of the most significant is how pervasive VMware ESXi 4 and later (vSphere) is throughout enterprises today.  The study also shows that 7% of those interviewed had implemented cloud computing in 2010, growing to 9% in 2011 – quite conservative compared to many of the other adoption rate analyses completed.  You can find the results here: http://searchdatacenter.techtarget.com/feature/State-of-virtualization-and-cloud-computing-2011
  • Yankee Group has found that in 2011, 41 percent of very large enterprises (more than 10,000 employees) have already deployed or are considering deployment of platform as a service (PaaS) within the next 12 months, compared to just 32 percent in 2010.  They have also found that mobility is most significant factor driving cloud adoption in the enterprise. Source: http://professional.wsj.com/article/TPCHWKNW0020110722e77q0004d.html

Jul 20

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Rethinking Cloud ROI from a Customer’s Perspective

Seeing the proliferation of cloud ROI, TCO and cost calculators brings to mind my economics professors who strove with a passion to reduce complex consumer decisions into simple, very powerful formulas.  Like these calculators pervading the market, my economics professors showed a passion for accuracy, precision and measured perfection.

The only trouble is that people, companies and markets defy and will deliberately not conform to an equation, cause-and-effect strategy or series of artificial incentives to get them to change.  If there is one single, loudly reverberating fact in this economy, it is that marketing and selling strategies based on economic theory alone are failing.  The business benefits of cloud computing need to be more integrated into these ROI and TCO calculators to make them relevant.  They need to reflect more of the customers’ needs to be useful.

It’s Time To Bring The Customer and Their Strategies Into The Equation

Of the many white papers, e-books and websites all claiming to translate cloud computing server usage and capacity planning metrics into business benefits, the Open Groups’ white paper published in 2010 delivers useful insights.  The research and analysis was produced by Cloud Business Artifacts (CBA) project of The Open Group Cloud Computing Work Group.  You can find the entire document here.

The following table is from the section on building ROI for Cloud Computing using Key Performance Indicators (KPIs) and Metrics.  While this table is a start, what’s  missing  are more metrics related to the Web customer experience.  There needs to be more measures of whether customer experiences were successful or not by application, and if and how SaaS-based applications contributed to customers’ expectations being exceeded or not.

One of the biggest benefits all ROI and TCO calculators attempt to quantify is speed of cost reduction and time reduction, but what about speed of strategy execution? For many of these online tools, prospects using them would have no idea how their investment will accelerate their goals.  All they see are costs related to the technology.  Not much if any analysis is provided how the technology relates to their strategies being attained more quickly, completely and profitably.

And what about enabling channels to sell more effectively?  Launching products on time, synchronized across online and offline channels and having consistency of messaging, pricing, services – in short the entire user experience– is rarely if ever mentioned.  Ironically the greater the focus on ROI and TCO calculators, the greater the lack of focus on creating a truly exceptional customer experience while attaining complex selling strategies.

It’s time for the industry’s vendors to wake up and realize that they are selling for the most part to nonconformists not robots.  ROI and TCO calculators that don’t reflect what customers really want to accomplish and stay centered on technology alone are missing huge opportunities to sell on value.

Bottom line: The comfort that comes from attempting to take the chaos of a market and crystalize it into an equation is an illusion – the real test of a vendor’s value is being able to navigate customers to their goals using technology when necessary, not as a crutch.

Cloud ROI and TCO Calculators

Amazon Web Services Economics Center  http://aws.amazon.com/economics/

Amazon Web Services Simple Monthly Calculator http://calculator.s3.amazonaws.com/calc5.html

Astadia Cloud Computing ROI Calculator http://www.astadia.com/products-and-services/IT-cloud-transformation/roi/

Azure ROI Calculator (written in Silverlight)  http://azureroi.cloudapp.net/

Commentary: http://social.msdn.microsoft.com/Forums/en/windowsazure/thread/c4155f48-d51f-4c14-b79c-3f8248ac9646

Azure TCO calculator http://www.microsoft.com/windowsazure/offers/

Cloud Business Review – Cloud Migration ROI Calculator http://www.cloudbusinessreview.com/cloud-migration-roi-calculator.html

EMC ROI Analyst (requires opt-in) https://roianalyst.alinean.com/emc/Welcome.do

GetApp Cloud Computing Calculator http://www.getapp.com/cloud-computing-roi-calculator

Google Cloud Calculator http://www.gonegoogle.com/#/company-name

Rackspace Load Balancer Calculator http://www.rackspace.com/cloud/cloud_hosting_products/loadbalancers/pricing/

Salesforce.com Force.com Business Case Calculator (ROI) http://www.salesforce.com/platform/tco/calculator.jsp?d=70130000000EfON&internal=true

Stelligent ROI Calculator http://stelligent-roi.appspot.com/

VMWare ThinApp Calculator http://roitco.vmware.com/ThinApp/

Sources:

Open Group Publishes Guidelines on Cloud Computing ROI http://cloudcomputing.sys-con.com/node/1376952

Private cloud discredited, part 1 http://www.zdnet.com/blog/saas/private-cloud-discredited-part-1/1204?tag=mantle_skin;content

Jun 12

15 Comments

Gartner Search Analytics Shows Spike in Platform as a Service (PaaS) Inquiries in 2011

Trends of search terms from user accounts and topics of their inquiries form the catalyst of research agendas in many IT advisory firms.  At Gartner these two factors and others like them are commonly regarded as leading indicators of future IT spending.

Gartner has been delivering short analyses of these subject areas to clients in the form of reports, with the latest being Search Analytics Trends: Platform as a Service published on June 9, 2011.  This report covers user search activity from April, 2009 to March, 2011. For purposes of the report, Platform-as-a-Service (PaaS) is defined as cloud application infrastructure services delivered as a service.  Gartner makes the point that PaaS includes no traditional software license and is expensed on a metered or utility basis.  Presented below is the time series of searches by month from the report.

A few key take-aways emerge from the report, and they are presented below:

  • Cloud Middleware Services including Platform-as-a-Service (PaaS) are still unknown to many Gartner IT user clients.  As a result this area is seen with skepticism by many of their clients.  In studies of PaaS adoption from other analysts at Gartner and Forrester, it is evident that internal software development will make or break the credibility of PaaS initiatives for the long-term.
  • When Gartner IT users search for PaaS on the website and throughout online research, the four most common secondary terms are IaaS and SaaS (7.05%), Magic Quadrant (6.12%) and cloud (5.72%).  Clearly Gartner IT user clients are looking to define their own technology stack in this area and looking for a framework of reference of where PaaS fits into their own IT plans and architectures.  The competitive intensity across the analyst community will most likely go up as a result of the uncertainty many IT buyers have over PaaS.
  • The top three vendors that Gartner IT users search for are Microsoft (18%), Amazon (13%) and Tata (11%).  Additional vendors include IBM (11%), Salesforce.com (11%), SAP (7%), Google and Oracle (4%).

Bottom line: The key to PaaS adoption in larger enterprises, many of which are IT user clients of Gartner, is how successfully Independent Software Vendors (ISVs) clarify their value proposition and how their apps add value to the platform layer.

Jun 8

SaaS Start-up Metrics from an Investor’s Point of View: SaaS Math

Mark MacLeod, General Partner, Real Ventures is a frequent advisor and contributor to the efforts of the Canadian-based Medical and Related Sciences (MaRS) .  He often presents during their best practices speaking series and contributes to the organizations’ related incubator programs.

His latest presentation, SaaS Math, given on May 24th, is a pragmatic and hands-on look at which metrics are most relevant and valued by SaaS investors. I’ve included both the slides and video below.

Using Metrics to Define a Profitable SaaS Business Model

In this presentation Mr. MacLeod covers the key pricing decisions and metrics that need to be used for managing a recurring revenue business.  He also explores the most important customer metrics for new ventures including Average Revenue Per User (ARPU), Cost of Acquisition (CAC) and Customer Lifetime Value (CLTV).  Related metrics on acquisition, conversion, churn and referrals are also mentioned throughout the presentation and slides. He covers the specifics of SaaS pricing and how freemium can be effectively used in a SaaS business model.   He ends the discussion with an analysis of early stage valuations.

Bottom line: The presentation SaaS Math provides a useful framework of analytics for software companies looking to attain recurring revenue targets while still investing heavily to grow their businesses.

May 28

Succeeding with SaaS: Four Hot Tips For Start-Ups

Mark MacLeod, General Partner, Real Ventures, discusses four tips of how to succeed with a Software-as-a-Service (SaaS) start-up. Real Ventures is a Montreal based venture capital and private equity partnership that specializes in early-stage investments in web, mobile, software, digital media, social and casual gaming. The majority of its investments are at the seed level, between conceptualization and the validation of the business model. Funded companies include Fabric Technologies and MConcierge Systems. Typical funding rounds are below $500K with $1M being at the higher-end. 

Key take-aways from Mark MacLeod’s discussion on SaaS revenue models include the following key points:

  • Stakeholders and investors prefer recurring billing over one-time licenses – Investors in SaaS start-ups and seed investment rounds prefer recurring revenue models, as this approach reduces risk by providing greater revenue forecast accuracy. For customers, being able to forecast monthly costs makes recurring billing the most popular model on SaaS today. Mark also mentions how this fuels the dynamic of operating expense (OPEX) versus capital expense (CAPEX) budgeting on the part of customers. He makes the point that investors like the recurring revenue model because the lifetime value of customers can be more accurately tracked.       
  • Be data driven – The best-managed SaaS start-ups rely heavily on standard metrics and many of their own unique measures of performance to better understand and predict revenue and costs. Mark contends that all SaaS start-ups need to be data-driven to not only understand their existing customers, but also see how their levels of use and satisfaction are influencing potential new customers.  The best SaaS start-ups measure every aspect of application use and customer experience. These in-house custom analytics are a competitive advantage for any SaaS start-up, as these application-specific metrics can provide insights for further product development and customer loyalty programs.
  • Pricing decisions are the most complex to make– The greater the hard benefits in terms of measurable, recurring cost reduction or revenue generation, the greater the price that can be charged, according to Mark’s experiences funding SaaS start-ups. He also mentions the cost of a direct sales force, market position, and relative benefits delivered as factors in making a pricing decision.
  • Always go for customer prepay options when possible – Prepayment is critical for a SaaS start-up, not only for cash flow but more importantly because it shows that customers trust the application to deliver value over the long-term. It is a great proxy for how much value a customer sees in the application over time.

Nov 30

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Infographics Provide Varying Perspectives of the Cloud Computing Landscape

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The best infographics simplify complex data and make it instantly intuitive, which makes this form of presentation ideal for cloud computing and its related topics.  The following three infographics of the cloud computing landscape each explain its core concepts and market dynamics from a completely different vantage point.   I found these over on Alex William’s post on ReadWrite Cloud titled 3 Infographics About Cloud Computing.

The company who provided this first infographic is Zenoss, a provider of cloud monitoring tools and services. The infographic does a great job of supporting their unique value proposition and position in the market – and delivers some excellent market data in the process.

This is one of the more data-rich infographics on the cloud computing landscape in the enterprise.  It’s from Cloud Hypermarket out of the UK.  This company offers a £250 Start Up Service for anyone wanting to launch a cloud-based company with them.

This very well-known and popular infographic is from Wikibon, a community of IT professionals who generate excellent content across a range of subject areas.  They are worth checking out and following either through RSS feeds from their blog or on Facebook and Twitter.

Nov 18

1 Comment

Analyzing SaaS Revenue Forecasts and Market Growth by Segment

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A recent report published by Standard & Poor’s Equity Research Services on the computer software industry makes for interesting reading.

Zaineb Bokhari, Application Software Analyst authored the 47-page report.  He has shown how the software industry is going through a fundamental restructuring due to the impact of SaaS, open source, and the many variations in licensing programs.

His analysis also shows how these factors taken together form a powerful catalyst of long-term disruption to business models.  At one point, the study predicts the end of perpetual licensing due to the time-to-value contributions of SaaS-based applications.  The report is available for download to Equity Research Services clients, including many college and university online libraries that have Standard & Poor’s subscriptions.

Here are the key take-aways from reading this report:

  • Standard & Poor’s reports that the SaaS category is still dwarfed by traditional packaged software, which IDC sized at $272 billion in 2009 (versus $13.1 billion for SaaS).
  • According to IDC’s forecasts, the size of the SaaS will rise from just under 5% of the size of the packaged software market in 2009 to more than 11% by 2014.
  • Standard & Poor’s expects corporate spending on enterprise software and related maintenance to grow in the low to mid-single-digit range (i.e., 3%–6%) in 2010, with some segments expanding at above-average levels.
  • Overall revenues from SaaS delivery models reached $13.1 billion in 2009, a growth rate of 34.2% from 2008 according to IDC. IDC expects this revenue to rise to $40.5 billion by 2014, a compound annual growth rate (CAGR) of 25.3%. This is dwarfed by the $272 billion that IDC believes was spent globally on software in 2009.
  • Application development and deployment is projected to have the most rapid growth of all segments, attaining a 39.2% CAGR from 2009 – 2014. Please see the table below, Worldwide Software-as-a-Service Revenues Forecast by Segment for a year-by-year breakout of this category.
  • Infrastructure software is forecasted to grow at a 27.4% CAGR through 2014, totaling 11,345 instances by 2014 according to IDC.  The year-by-year breakouts are also included in the following table.
  • Applications are expected to have 20.4% CAGR through 2014 based in units and attain a 50.8% market share of all SaaS segments by 2014.

Bottom line: Enterprise software pricing models must change to stay in step with customers’ expectations of more value for their maintenance and licensing fees. The evolving economics of cloud and SaaS-based application deployment are in the process of permanently re-ordering enterprise software.

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