Quantum computing companies spend years perfecting technology and weeks planning how to sell it. That ratio is backward. Winston Francois builds go-to-market strategies that connect real technical capability to real buyer demand and generate revenue on a predictable timeline.
Product-market fit is assumed, not validated
Many quantum computing companies build a platform, pick an industry vertical that sounds promising, and start selling without validating that buyers in that vertical actually have a problem worth paying to solve with quantum. When product-market fit is an assumption rather than a finding, sales teams burn months chasing prospects who are curious but not buying. The cash runway shrinks while the team debates whether the problem is the product, the market, or the pitch.
No clear path from pilot to production contract
Quantum computing sells in stages: proof of concept, pilot, production. Most go-to-market plans focus entirely on getting the first meeting and ignore the mechanics of moving a customer through that progression. Without a deliberate stage-gate process, pilots stall in evaluation limbo. Prospects run a successful proof of concept and then vanish into internal procurement processes that never conclude. The pipeline looks full but nothing closes.
Pricing reflects cost, not value
Quantum computing companies frequently price based on compute time, qubit usage, or engineering hours spent. None of those metrics mean anything to a buyer who is trying to solve an optimization problem worth tens of millions in annual savings. Cost-based pricing leaves enormous value on the table and positions your platform as a commodity rather than a strategic capability. It also makes it harder to justify the investment internally because the buyer cannot map the price to the outcome.
Go-to-market is treated as a sales problem, not a company problem
When quantum companies decide to go to market, they hire a VP of Sales and expect results. But go-to-market is not just sales. It is product packaging, pricing, positioning, channel strategy, customer success, and organizational design working together. When the sales leader is the only person accountable for commercial outcomes, every other function optimizes for something else. Product builds features nobody asked for. Marketing generates leads nobody wants. Engineering prioritizes internal elegance over customer requirements.
Winston Francois builds go-to-market strategies that treat commercialization as a company-wide operating system, not a sales department initiative. We start by pressure-testing your product-market fit assumptions with real buyer research. We talk to the people you want to sell to, understand their actual problems, and map your technical capabilities to the outcomes they will pay for.
From that research, we build a [growth strategy](/services/strategy/) that defines your ideal customer profile, your beachhead market, and the sequence of markets you will enter over the next 12 to 24 months. Sequencing matters because quantum computing companies that try to serve every vertical simultaneously end up serving none of them well.
We design the buyer journey from first awareness through signed production contract, including the stage-gate process for moving customers from proof of concept to pilot to production. Every stage has defined entry criteria, exit criteria, success metrics, and resource requirements. Your sales team knows exactly what needs to happen at each step and your operations team can plan capacity accordingly.
Pricing strategy gets built on value, not cost. We work with your team to quantify the business impact your platform delivers for specific use cases and price accordingly. This is where the product packaging work matters: how you bundle capabilities into products determines how buyers evaluate and compare you.
Our [marketing](/services/marketing/) team builds the demand generation engine that feeds the top of your pipeline. That includes positioning, messaging, content, events, and channel strategy specific to the verticals you are targeting. Every marketing dollar ties to a defined buyer segment and a measurable pipeline target.
We also build the [measurement](/services/measurement/) framework that tracks your go-to-market performance across the entire funnel: from market awareness through customer expansion. You will know which channels produce the best leads, which verticals convert fastest, and where deals get stuck in the pipeline.
The result is a go-to-market system that the entire company operates against, not a sales playbook that sits in a drawer. Every function knows its role in generating revenue and has the metrics to prove whether it is working.
The quantum computing companies that win are not the ones with the best technology. They are the ones that figured out who to sell to, what to charge, and how to move a buyer from curious to committed. Go-to-market is an engineering problem. Treat it like one.
Our 90-day go-to-market sprint runs in three phases. The first 30 days are pure discovery: buyer research, competitive analysis, internal alignment workshops, and market validation. We interview 15 to 25 prospects and customers across your target verticals to validate demand and understand buying behavior. We also audit your current sales process, pipeline, and win/loss data to identify where deals are getting stuck.
Days 30 through 60 are strategy and design. We build the go-to-market plan, buyer journey, pricing framework, and demand generation playbook. Everything is reviewed and refined with your leadership team in weekly working sessions. We stress-test assumptions by running pricing and positioning concepts past actual buyers.
The final 30 days focus on activation. We train your sales team on the new process, launch the first demand generation campaigns, stand up the measurement dashboard, and conduct a readiness assessment across all go-to-market functions. By day 90, the system is operational and generating pipeline.
The first 30 days are intensive research and alignment. We run a two-day kickoff workshop with your leadership team to map current assumptions, identify knowledge gaps, and align on priorities. We then conduct buyer research interviews, competitive analysis, and an internal audit of your sales process and pipeline data. The output is a market validation report with clear recommendations on target verticals, buyer personas, and go-to-market approach.
During days 30 through 60, we build the strategy in close collaboration with your team. Weekly working sessions cover ICP refinement, buyer journey design, pricing workshops, and demand generation planning. We present the complete go-to-market plan at the end of this phase for leadership approval before moving to activation. Every element has been pressure-tested with real buyer input.
Days 60 through 90 are about making the strategy operational. We train your sales and marketing teams, launch initial campaigns, configure your CRM and pipeline tracking, and run a full readiness assessment. We identify gaps in team capability, tooling, or process and provide recommendations for addressing them.
After the sprint, we typically stay engaged through a quarterly advisory retainer. Go-to-market is not a one-time event. Markets shift, competitors move, and your product evolves. We help you adjust the strategy as conditions change and hold quarterly business reviews to assess performance against plan.
If your quantum computing company needs go-to-market leadership, we should talk.
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
A full 90-day go-to-market sprint typically ranges from mid-five to low-six figures, depending on the number of target verticals and the complexity of your product portfolio. This includes buyer research, strategy development, pricing and packaging, demand generation planning, and activation support.
The strategy is operational within 90 days. Pipeline activity typically begins within the first quarter after activation. Revenue timelines depend on your sales cycle length, which for quantum computing enterprise deals usually runs six to twelve months from first meeting to signed contract. The go-to-market system is designed to compress that cycle by qualifying buyers better upfront and moving them through defined stages more efficiently. We track leading indicators from day one so you can see momentum before revenue arrives.
We work alongside your sales team, not above them. We interview your best salespeople to understand what works today and where deals get stuck. The go-to-market strategy incorporates their field knowledge and is designed to make their jobs easier, not more complicated. During activation, we train the team on the new process and tools. We also set up feedback loops so sales insights continuously improve the strategy. If you do not have a sales team yet, we help you define the roles and hiring profile.
Management consultancies deliver strategy decks. We deliver operational go-to-market systems. The difference is that we stay through activation and measurement, not just through the strategy presentation. We also staff teams with operators who have built and run go-to-market functions, not analysts who have studied them. When we design a buyer journey, it works in a CRM. When we build a pricing model, it works in a sales conversation. Strategy without execution is expensive advice.
We validate product-market fit through structured buyer research, not surveys or market sizing reports. We interview 15 to 25 real prospects and customers in your target verticals with a consistent framework that measures problem urgency, willingness to pay, competitive alternatives, and buying process complexity. The output is a demand validation matrix that shows which verticals have the strongest pull for your specific capabilities. This is evidence-based, not intuition-based.
That is actually the most common starting point for our engagements. We diagnose why the current approach is underperforming by analyzing pipeline data, interviewing the sales team, and talking to prospects who did not convert. The answer is usually a combination of targeting, messaging, pricing, and process issues rather than a single point of failure. We rebuild the parts that are broken, keep the parts that work, and stand up the measurement infrastructure to prevent blind spots going forward.
Tuesday, June 9, 2026
Frank Growth – Episode 223 – Most Tests Will Fail, That’s Fine with Divya Ramaswamy
Tuesday, June 2, 2026
Frank Growth – Episode 222 – Getting a CFO on Board with Your Growth Plan with Simon Heyrick
Tuesday, May 19, 2026
Frank Growth – Episode 220 – The Neobank of Insurance Playbook with Jacob Batist
Tuesday, May 26, 2026
Frank Growth – Episode 221 – Stop Selling. Start Method Acting. with John O’Donnell
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