@CloudExpo Authors: Pat Romanski, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui, Liz McMillan

Related Topics: @CloudExpo

@CloudExpo: Blog Feed Post

Cloud Channel Challenges – SaaS Channel Compensation

The SaaS subscription model shifts risk from the customer to the vendor

I recently had the pleasure of speaking at the Retail Solution Provider Association annual thought leadership summit on the challenges faced by channel partners and vendors in the transition from purchased software and hardware to a recurring revenue service model. Not unexpectedly, one of the hottest topics on the agenda was SaaS channel compensation. In particular, how can SaaS vendors expect their more modest channel partners to absorb the up-front costs of customer acquisition and on-boarding when the SaaS vendors have trouble doing it themselves?

saas channel homer

The SaaS subscription model shifts risk from the customer to the vendor.
Shifting too much risk back onto the SaaS channel
lands the SaaS channel partner between the proverbial rock and hard place.

A Game of Risk

The SaaS subscription model shifts risk from the customer to the vendor. SaaS vendors promote low-risk free trials, entry-level subscription plans, and bundled on-boarding, whereas enterprise software vendors expect big up-front license payments and professional services fees. In fact, it is common practice in enterprise software to promote and sell a product before it is completely built or even started. Not so in SaaS. The risks don’t go away though, they just get shifted away from the customer back to the vendor. The SaaS vendor must make big up-front investments in R&D, customer acquisition and on-boarding just like the enterprise software vendor, but it often takes well over a year to recover these costs. If the product fails to live up to expectations; the SaaS vendor is left holding the bag, not the customer.

Between a Rock and a Hard Place

Enter the channel. Acting as a risk buffer is a long-standing value added service of the channel. Some channels exist almost solely to absorb risk, like wholesalers and investment bankers. Enterprise SaaS and software channel partners invest in sales, service and support capacity in advance, absorbing the risk of fluctuating demand. Sitting as it does between the customer and the vendor, the channel can absorb risk from either direction. Too much risk and the channel partner lands between the proverbial rock and hard place. Goodbye channel.

The problem arises when SaaS vendors try to apply licensed software math to SaaS channel compensation. Traditionally, enterprise channel partners net a portion of the license fee, anywhere from 10% to 70% depending on the scope of their services. Simple application of this margin-based compensation model to the SaaS channel can put a SaaS channel partner in the unpleasant position of having to make 100% of the up-front investment in customer acquisition and on-boarding, while only netting a fraction of the recurring revenue stream. Risk shifts from the SaaS customer to the SaaS vendor and right back onto the SaaS channel partner. Rock and hard place.

The New SaaS Channel Math

In my post on SaaS Sales compensation, I made the claims that SaaS vendors should a) pay in proportion to the lifetime value of the deal and b) pay entirely up-front, because the SaaS sales rep should not be asked to bear any of the SaaS investment risk, or the rep is likely to just quit and find better work. The same basic ideas holds for the SaaS channel partner with the caveat that it is reasonable to expect the channel to absorb at least some of the risk, if not all of it. So, when it comes to SaaS channel compensation, SaaS vendors should a) pay in proportion to the lifetime value of the deal and b) pay disproportionately, but not entirely up-front because the SaaS channel partner should not be asked to bear a disproportionate amount of the SaaS investment risk, or the channel partner is likely to just quit and find better work.

The trick is to apply the traditional SaaS channel margin to the lifetime value of the deal, not directly to the payment schedule. The percentage margin or revenue share still reflects the value that the SaaS channel partner brings to the table, but a flat payment schedule does not match the value-added or costs incurred by the SaaS channel partner over time.

Lifetime Value of SaaS Channel Compensation = % Margin x Lifetime Value of Deal

There are an infinite number of payment schedules for any given lifetime value, offering an infinite number of options that can be tailored to the specific needs of your SaaS channel compensation model right down to specific needs of a single SaaS channel partner. Consider the three payment schedules below with identical lifetime values consisting of a straight out 50% of a recurring SaaS revenue stream (blue), an equivalent license revenue stream of a big up front payment and 20% maintenance (red), and something in between with a 75%/35% split for initial/recurring payments (green).

saas channel homer

There are an infinite number of payment schedules for any given lifetime value,
offering an infinite number of options that can be tailored to the specific needs
of your SaaS channel compensation model.

Match SaaS Channel Comp to SaaS Channel Value Add

There is a broad spectrum of SaaS channel arrangements from simple non-exclusive lead referral to complete sales, marketing, service and support in an exclusive territory. Therefore, there is an equally broad spectrum of potential SaaS channel compensation plans. Linking the lifetime value of SaaS channel compensation to the lifetime value of the SaaS channel value add and then matching the payment plan to how that value add plays out over time is the best approach to align SaaS company goals with SaaS channel incentives. For example, a simple lead referral could be immediately paid out as one month of recurring revenue and done. Whereas, a full service arrangement could pay up to 100% of recurring revenue for the first year to cover customer acquisition, but a much smaller percentage over time to cover ongoing support and service.

No Magic Bullet

Linking SaaS channel compensation to lifetime value breaks the direct link to the SaaS customer’s recurring revenue stream and allows the SaaS vendor to provide incentives that better match the SaaS channel partner’s value add and costs. However, it is not a magic bullet. The SaaS customer’s recurring revenue stream determines lifetime value of the deal and thereby limits the total amount available for SaaS channel compensation. If the lifetime value of a SaaS deal is significantly lower than that of the equivalent license deal, the SaaS channel will still face all the usual SaaS challenges of lowering acquisition and service costs through automation and economies-of-scale. Moreover, the SaaS customer’s recurring revenue payment places an upper bound on the potential SaaS channel compensation payment, because it will be the rare SaaS vendor that will stomach negative cash flow by paying out more to the channel than it brings in from the customer. Finally, SaaS Top Ten Don’t #5 cautions early stage SaaS startups against investing in channels too early, and ensures that no SaaS channel compensation plan will overcome lack of primary market demand.

Read the original blog entry...

More Stories By Joel York

Joel York is an Internet software executive and popular SaaS / Cloud blogger at Chaotic Flow and Cloud Ave. He is well known for his work in SaaS / cloud business models, sales and marketing strategy, and financial metrics. Professionally, he has managed global sales and marketing organizations serving over 50 countries, including local offices in the United States, United Kingdom, Germany, and India. He holds degrees in physics from Caltech and Cornell and received his MBA from the University of Chicago. Joel York is currently VP Marketing at Meltwater Group and Principal at the Internet startup consulting firm affinitos.

CloudEXPO Stories
On-premise or off, you have powerful tools available to maximize the value of your infrastructure and you demand more visibility and operational control. Fortunately, data center management tools keep a vigil on memory contestation, power, thermal consumption, server health, and utilization, allowing better control no matter your cloud's shape. In this session, learn how Intel software tools enable real-time monitoring and precise management to lower operational costs and optimize infrastructure for today even as you're forecasting for tomorrow.
While a hybrid cloud can ease that transition, designing and deploy that hybrid cloud still offers challenges for organizations concerned about lack of available cloud skillsets within their organization. Managed service providers offer a unique opportunity to fill those gaps and get organizations of all sizes on a hybrid cloud that meets their comfort level, while delivering enhanced benefits for cost, efficiency, agility, mobility, and elasticity.
Isomorphic Software is the global leader in high-end, web-based business applications. We develop, market, and support the SmartClient & Smart GWT HTML5/Ajax platform, combining the productivity and performance of traditional desktop software with the simplicity and reach of the open web. With staff in 10 timezones, Isomorphic provides a global network of services related to our technology, with offerings ranging from turnkey application development to SLA-backed enterprise support. Leading global enterprises use Isomorphic technology to reduce costs and improve productivity, developing & deploying sophisticated business applications with unprecedented ease and simplicity.
DevOps has long focused on reinventing the SDLC (e.g. with CI/CD, ARA, pipeline automation etc.), while reinvention of IT Ops has lagged. However, new approaches like Site Reliability Engineering, Observability, Containerization, Operations Analytics, and ML/AI are driving a resurgence of IT Ops. In this session our expert panel will focus on how these new ideas are [putting the Ops back in DevOps orbringing modern IT Ops to DevOps].
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.