Feasibility first value selling - a turbocharger for solar and battery installer productivity and growth
July 26, 2023
What if I said to you it was possible to close 80% of the proposals you send to businesses buying solar and batteries?
You're probably thinking, "not possible", right? I challenge you that it is possible and that some leading solar sellers already claim this. With the right tools and approach, you could achieve less lumpy sales and net profit margins increased from a typical industry average of around 2% to well over 5%.
Imagine what that would do for your business.
Leading solar and battery installers have already unlocked the secrets to this strategy, and we will show you how you can too. In this blog, we will explore:
Traditional solar sales approaches and its flaws
The new approach feasibility-first value selling
How feasibility-first value selling is enabled by Orkestra
The impact to solar business profitability
Traditional solar sales - a race to the bottom on price
Solar companies commonly start as a couple of people with a truck, operating from their kitchen table and selling residential and small business solar systems as fast as they can screw them to a roof. Some of the biggest and best solar companies started like this - like Gippsland Solar (acquired by RACV) and GEM Energy (acquired by RACQ).
As solar companies grow, they develop business processes and implement systems to streamline their operations. Solar sales software is commonly implemented to enable a solar business to efficiently and quickly design and price residential solar solutions. Unfortunately, this commonly has had the effect of locking in a “traditional sales” approach applied to all project sizes.
The traditional sales approach typically involves the following steps:
Generating leads and qualifying them through phone calls.
Conducting a site visit, if necessary, to assess various factors - roof, switchboard etc.
Using the solar sales software, mapping panels to determine the system size.
Selecting equipment and pricing options.
Generating proposals and presenting basic bill savings.
Presenting a single option to their customer to negotiate and close.
Figure 1 - Traditional sales approach used by solar installers
There are several problems with this approach:
It's a volume game - with literally thousands of registered installers in Australia, installers are likely sending out eight proposals for every ten leads generated and only converting one qualified lead (or less).
It’s often a race to the bottom on price - some installers will consult with the customer, building rapport and ultimately converting at a slightly higher conversion rate and potentially gross margin, but the trade-off is a higher cost of sale. Generally, if the customer hasn’t selected their installer based on a recommendation or reputation, most customers will select on lowest price.
There is lots of wasted effort - even with the early call to qualify leads, it’s hard to weed out the tyre kickers because how can you qualify the lead during an initial phone call or site visit? Prevalence of shading? Budget? These questions are hardly going to qualify the most important question - does the customer have a willingness to spend? Therefore there’s lots of wasted effort designing and pricing a system and preparing a proposal, more if a site visit occurs.
The value of the installation and “the why” is commonly unclear - perhaps some bill savings are presented to the customer, but “the why” for the sale and the technology choice are commonly vague or intangible with the value. In the last ten years, the average STC system size has increased from 3.2kW to 8.7kW (Source: APVI) with little economic justification other than the price of installations coming down (on a $/kWp basis) so residential and small business customers could afford bigger systems for the same capital outlay.
As they grow, many solar installers take on more ambitious opportunities, selling increasingly larger systems to business customers. Many solar installers continue to employ these traditional sales approaches. These problems don’t go away. They get worse. The bigger the systems and the larger the clients, the more opportunity risk there is and therefore, more time is needed to develop a proposal and the more wasted effort if the opportunity is not won.
When selling to businesses, solar installers also run into a new challenge - they start selling to individuals that are looking for a return on their investment.
A new approach for selling solar and batteries to businesses - feasibility-first value selling
Feasibility-first' is intended to flip the typical sales process, bringing forward the financial feasibility of projects that ultimately determine whether the project proceeds, and reserving more expensive engineering resources until the deal is nearly closed.
The key principles behind this approach are as follows:
It recognises that the customer will commonly be a “financial decision maker” - i.e. an individual making the purchase will make an investment decision based on a return on investment or payback.
It recognises that, from the customer's perspective, solar and battery solutions are largely commodified and homogenous regardless of the technology selection. A financial decision maker is unlikely to care whether it is panel option A versus panel option B.
It brings feasibility to the start of the discussion, creates “the why” for the investment and the technology choices, and pushes back the deployment of engineering resources.
In summary, this consultative value selling approach builds trust with the customer and identifies the solution that best meets the customer's drivers, importantly, without wasting any engineering effort.
Figure 2 - An example of creating the “the why” in technology selection using Orkestra. Here we determined that a 600kW north-facing solar solution is optimal for this manufacturing site as it generates the best Net Present Value (determined on a 15-year pre-tax basis).
The feasibility first sales approach is as follows:
Like the traditional approach,start with qualifying the lead. When speaking with a customer, start off by confirming the customer’s drivers and why they want solar and batteries. Are their drivers environmental, financial or something else? Also, confirm the customer's budget and investment return expectations. In this call, also request a current electricity bill and, ideally (but optionally obtained later), one year of electricity load profile data.(Sidenote - requesting data from the customer will provide you with the information needed to create a tangible baseline and makes them work a little for your service. If a customer isn’t willing to do even this amount of work, you don’t want them as a customer!)
Conduct a feasibility study that considers different sizes of solar panels and batteries, and different battery value stacks. Using the load profile and electricity tariff details as the starting point for your analysis, evaluate the technology options based on estimated costs rather than precise figures. Your goal is to find the most suitable solutions that align with the customer's priorities and emphasize the value they can provide rather than just focusing on the project expenses. This is the stage where you can explain "why" a specific technology solution is being recommended. You'll have strong justifications for your selection when a customer asks about the reasoning behind your recommendation.
Present the feasibility analysis to the customer and talk to them about the solutions modelled, capital outlay, the return on investment determined and consult with the customer on how the solution will meet their drivers. You may find that through this process, you refine the drivers or identify new ones meaning you need to repeat the feasibility modelling. Orkestra makes this super easy right out of the box with brandable analysis - check it out.
Then stop. This is where we recommend forcing a go/no-go decision by the customer. Here we’d suggest trying to obtain a period of exclusivity or go as far as signing a contract where the customer pays for the engineering and design of a solution if they don’t proceed with your solution. This is easier said than done, but it should definitely be the aspiration of all solar companies. It does not make sense that customers force the detailed design of a solar system by multiple installers.
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Steps 4-7 for the feasibility-first sales approach then follow the same steps as the traditional sales - site assessment, technical design, proposal generation, negotiation and close. The difference is that the engineers have clear direction on what solution will meet the customers drivers and that the high cost resources are only deployed with confirmed/higher likelihood of sale.
Figure 3 - The feasibility-first sales approach
What’s changed to enable feasibility-first value selling?
So why hasn’t feasibility-first value selling been done before? Well to an extent it has, just very inefficiently. The top solar companies in the country developed their own tools, typically built on Excel Spreadsheets. The problem with these solutions is that they are fragile and difficult for anyone but the original developer to use (commonly an expensive engineering or analytical resource). This has made these tools very unscalable. Excel also suffers from a few other issues:
It is generally not user friendly, so only often only analysts or other high cost resources can actually undertake the analysis, causing roadblocks and time delays.
It can take hours or days to conduct the modelling as it's not able to leverage cloud computing, and from there can take even longer to identify the optimal solutions that meet a customers drivers.
It is every inefficient at solving multi-variate problems (read: lots of manual trial-and-error) that are created when you have more than one technology or site adjustment like a tariff change that you are trying to solve for.
It’s incredibly difficult to have an accurate while flexible tariff model that doesn’t involve lots of manual changes to the tariff calculations.
It can’t be used to mimic battery control systems that deploy linear optimisation algorithms common in today’s best-in-class control systems. (The alternative to optimisation in Excel is rules-based control [i.e. if-this-then-that logic] that inevitability under values the potential battery revenue or blunt addition of value stacks that over values revenue.)
Enter Orkestra - a powerful enabler to feasibility-first value selling
Orkestra solves all these problems (and more) making it the optimal tool to support feasibility-first value selling. Now a solar and battery sales person or analyst can whip through hundreds of technology combinations and site adjustments like tariff changes in minutes. This process not only identifies the solution that best meets a customer's drivers, but creates the rationale (i.e “the why”) for why it is the best solution and other options are not.
Feasibility-first sales can be used to increase net margins
Organisations that embrace feasibility-first value selling enabled by the Orkestra software will discover they can:
Reduce time for equipment sizing & feasibility modelling from hours down to minutes
Cut time on modelling financed solutions from hours down to minutes
Reduce engineering time for more productive proposal generation
Increase gross margin through value selling
Easily identify opportunities to upsell a battery
Improved conversion from including finance options
Higher conversion from faster speed-to-lead (i.e. sales responsiveness)
Higher conversion from high-quality analysis
Most solar installers run on wafer-thin margins, typically taking home a profit margin of just 2-3%. We estimated all the benefits of using Orkestra and employing feasibility-first value selling, determining that it is possible to increase net profit margins to over 5%.
We’ve made this calculator available to you. You can download it and make your own assessment of margin uplift to your business. (To edit the spreadsheet, simply select “Make a copy”)
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Calculate your potential returns from investing in Orkestra for your business
How do I get started with feasibility-first sales?
Your primary task to enable feasibility-first sales in your business is to empower your sales team to do easy, fast and accurate feasibility analysis. This requires you to:
Implement software like Orkestra to conduct project feasibility on new opportunities.
Empower your sales team with basic training on commercial electricity tariffs, battery value stacks and equipment sizing.
Support your sales team to speak the language of their customers and get them talking comfortably to metrics like net present value, internal rate of return and payback periods.
If you invest in your sales teams like this, you’ll enable a game-changing new sales strategy for your business.
In summary…
Feasibility-first value selling can be a powerful growth and profit enabler for any solar and battery installer selling to business customers. Through this strategy, solar installers can increase their net margins nearly three-fold. Orkestra makes this strategy possible by making the feasibility analysis easy, fast and accurate.
Orkestra's software principles of designing for speed and ease-of-use means that lower-cost resources can undertake more sophisticated analysis - in far less time.
Altogether, data-driven, feasibility-first value selling will lead to lower cost of sales, greater sales conversions, higher capacity, faster processing times, better project scoping and ultimately, greater team productivity.