lessons learned
Lessons Learned from GTM Consulting
For the past two years, I have performed part-time, contract go-to-market consulting. My wife had a surgery that went wrong 18 months ago, so I needed something that would allow me to take care of her, stay sharp, earn money, and help companies grow. What I encountered was quite different from what I expected, so I thought I would pass it along.
Most of the work was with small to midsize companies, but the problems and needs mirrored what I have encountered at larger companies. The main difference is that large companies tend to look to software to address problems. In contrast, smaller companies often lack the budget for what they view as a solution that increases complexity.
Here are my Top 5 findings:
- GTM plans are often developed at the highest levels, often in isolation, without market testing and validation.
- An interesting aside is that the company is often really seeking sales optimization but believes it is doing things “well enough” today and therefore needs to focus on new offerings and revenue streams.
- New perspectives on past performance and failures are well received but more surprising than anticipated. This leads to a better understanding of needs, which builds consensus moving forward.
- Sales teams are sometimes pitted against one another, rather than working together to help everyone achieve more (Coopetition – “A rising tide lifts all boats.”)
- Sometimes the competing team isn’t sales, but support. The team wants to help the customer (which is great), but works outside its defined scope instead of bringing in the services and sales teams to work jointly to solve the customer’s problem.
- Sales teams are focused on selling features rather than solving business problems.
- Training those teams on solution selling and understanding the prospect’s needs pays off.
- CRMs are not consistently used and often reflect idealized fiction rather than reality.
- Old, dead, or unqualified opportunities; lack of recent contact or interaction; deals that have slipped more than once; and a lack of understanding (company, needs, players, business environment) all point to an unrealistic pipeline.
- Sales management and teams are not leveraging AI to help focus their efforts.
- Conversely, they may view AI as a panacea, investing time and money in tools that supplement a strong team rather than focusing on strengthening the team.
Here are the related Lessons Learned:
- Selling is a byproduct of problem-solving. You can’t solve problems if you don’t know what they are. Every interaction with a prospect should focus on gathering information, building trust and relationships, and leveraging prior interactions to demonstrate that your solution will solve their problem and ease their pain.
- Here’s solution sales again. Teaching teams to ask better questions, listen more, and validate their understanding increases their standing with prospects.
- Identifying common business problems and describing how your product or service solves them should be the foundation of the plan.
- Perform market analysis. How do other companies describe those problems? Their terminology, often found in job postings by competitors and your target audience, can help create effective messaging that resonates. Work to become the natural fit for what your prospects are seeking and the problems they are likely dealing with.
- Individual contributors get paid to win, but sales management needs to create incentives for collaborative efforts that lead to both wins and ongoing customer growth.
- Paying sales teams for net new business only causes them to ignore install base expansion opportunities. And, if another vendor solves their problems, it is only a matter of time before they replace you.
- For one company, I convinced them to implement a 2% SPIV (like a SPIFF, but team-focused) for every team member who actively contributed to team improvement. SPIV payments were quarterly, and there was a running total so the team could see the fund growth. Initial indications of a positive impact are good.
- Another benefit of collaboration is that it helps teams focus on approaches that work due to ongoing testing and refinement. Collaboration also helps teams focus on a more accurate ICP (ideal customer profile). Sales management can then feed their findings back to Marketing to tailor and fine-tune their efforts.
- CRMs often either lack information or are full of wishful thinking. They focus on activities, and not progress and next steps.
- Using MEDPICC as a foundation for qualification is a much better start.
- Sales managers need to validate the information independently to ensure their teams are upfront and honest. Trust, coaching, and collaboration work together for the win.
- Chasing deals that are unlikely to close wastes valuable resources.
- AI is not a panacea, but it is very effective for research, market validation, prospecting, and meeting preparation.
- Going in prepared builds respect and credibility, saves time, and helps you quickly qualify prospects in or out.
- There may be opportunities to nurture prospects who have potential but aren’t qualified for immediate deals, seeding the pipeline for future opportunities. This could be a great place to leverage AI for personalized journeys with highly relevant curated content.
So, what are your thoughts? Have you seen some of these problems yourself? How did you handle them? Let me know in the comments below.
And if you are looking for assistance with your business, contact me.
Beyond the Hunt: Fueling Sustainable Enterprise Sales Growth
The software start-up world is obsessed with “Hunters” – salespeople laser-focused on landing new customers. Job boards are overflowing with companies in “growth phases,” desperate for new logos. Understandably, the revenue from each new customer can mean a 10-20x multiple in company valuation in the VC-fueled race toward an exit. What happens after the deal closes ultimately determines a company’s success. Sustainable growth requires support systems.
The Long Game: Profitability and Sustainability
My experience leading a large business unit and running my own company has taught me that sustainable growth requires more than just a flood of new logos. Here’s why:
- Cash flow is King: Lines of credit can vanish overnight (remember Silicon Valley Bank?). Relying solely on external funding is risky.
- Not All New Business is Good Business: Unprofitable accounts, high-churn risks, and customers with limited growth potential can drain your resources faster than you can acquire them. Efficiency matters for scalability.
- Profits Drive Long-Term Growth: Organic, profit-fueled growth, especially when driven by innovation, creates a much more resilient and valuable business.
The Power of the Hybrid Sales Model
To achieve sustainable growth, you need either an extensive, fully integrated organization that seamlessly transitions from sales to implementation (few companies can do this) or a hybrid sales team that excels at both hunting (50-70%) and farming (30-50%). Landing a new customer is hard work, but retaining and growing them is just as challenging and crucial. Customer acquisition costs are often too high to justify losing a customer only a year or two after the initial win. Treating new customers as assets (not commodities) is essential to long-term success.
Mastering Strategic Accounts: Turnarounds and Growth
Large, strategic accounts—Tier 1 companies with strong brand recognition and significant revenue potential—present unique challenges. In my experience, these accounts often fall into two categories: those I initially closed and then grew (ideal, as you have already laid the foundation for success), and those I inherited in a neglected state and had to turn around.
Turnarounds require a unique skill set. They demand as much time and sometimes even more effort than landing a new logo, blending aspects of both hunting and farming. It takes commitment, skill, patience, and effort to understand an organization and find new ways to deliver value. Relationships and trust take time to develop, and in this situation they are in question (or worse).
Case Study: From Churn Risk to Multi-Million Dollar Expansion
Take, for example, a large Financial Services company I inherited when their Strategic Account Manager left. The account had been neglected for two years and was riddled with problems. We lacked executive relationships and higher-level visibility within the organization. They were evaluating competitors, and we knew nothing about it! Even though they were an existing customer, we were the underdog.
I organized a day-long on-site meeting to understand their pain points. We identified immediate issues, shared our vision for the future, began building trust, and demonstrated our commitment to their success. Following this, we spent a few hours getting to know the team over dinner. It was an eye-opener for me, as they shared more about their needs and how best to approach them.
The result? Within three months, I closed a $500K expansion deal, followed by a $500K consulting engagement and then a $3.25M two-year cloud expansion and upgrade prepay deal. My team and I rebuilt the relationship, solved critical problems (even going beyond our product scope), and provided a clear path forward with our AI-powered platform. I became a trusted advisor who was valued by their executive team. It was a true win-win.
The Bottom Line: Building a Sustainable Sales Engine
Install base growth and customer retention are critical for long-term success, especially with larger customers. The approach has to be multi-dimensional. It is a team effort, and the Account Executive is the quarterback. Relationship management, customer success teams, support, and services all play a role. Effective communication is bi-directional, with the customer having insight into what is coming down the road and input into the direction of the products they rely on. This becomes a true partnership that adds significant value to both organizations.
Does this hybrid approach apply to every company? If you’re IBM or Oracle, your offerings are broad and deep, and your customers are largely locked-in. “Land and expand” is part of their DNA. And if you’re selling end-of-life products, your focus might shift towards maximizing the “long tail” through customer success and services to minimize costs and maximize profitability.
However, for most growth-stage Cloud and SaaS companies, the hybrid sales model is essential to their success.
Call to Action:
- Evaluate your sales team structure and compensation plans. Do they incentivize both new customer acquisition and ongoing account growth?
- Invest in training and development for your sales team. Equip them with the skills needed to excel at both hunting and farming. It can be a difficult transition, but it is worth it in the long run.
- Need help building a high-performing hybrid sales team or turning around strategic accounts? Let’s connect!
Sales Discussions that Work
Selling is challenging work, and often, “we” (sales and marketing teams) make it even harder than it needs to be. How many times have you seen a selling script, elevator pitch, or initial presentation that is long, boring, and undifferentiated? People have short attention spans, and nobody wants to interact with someone who doesn’t listen or is pushy.

Your initial discussion is crucial to your success. Instead of going over a list of features, reading a slide deck, and telling why you and your product are so great, let’s try something different.
1. Understand why people buy. Any change can be difficult, risky, and painful. So, the pain they are facing has to be even greater than the potential pain of change, or they won’t bother changing.
Your main job early on is to listen and work to understand their concerns. You may have a perfect solution, but if it doesn’t solve their pain, it holds little value to your prospect. This initial meeting is all about them.
2. At the start of the meeting, ask, “What would make this time well spent for you? What would you like to walk away from this meeting with?” Get them thinking about their problems and the value you may be able to provide, even if they don’t fully articulate them to you.
3. Ask questions and follow-up questions. People don’t lead with their significant issues, and someone unwilling to divulge anything likely isn’t a buyer. The more the prospect talks, the more you learn. So many sellers do not understand this simple concept. They want to dazzle you with features and demos – even if those things are not what the prospect needs.
4. Once you think that you have identified a pain, restate it, qualify and quantify it. For example, “You mentioned that your product release cycles are too long and complex. What is the business impact of that, and what would the impact be if you could reduce that time and effort by 50%?” Write their response down, in their own words, because it could be vital later.
If you identify several pain points, review them and ask the prospect to identify the top three issues from the list, and then ask why those three. Once you have their answer, ask if other stakeholders in their organization would agree with that list, and why or why not. Again, get them to expand their thinking and work through this, as it will help you identify other stakeholders who may have other priorities.
5. If you are giving a presentation, pull up the most relevant slide (customer problem/benefit slides work well here) and ask if this sounds similar to the problem they are facing. It can be a good starting point for getting the discussion moving in the right direction. By providing relevant information, especially about how you solved a similar problem for another customer, they will see the value of providing you with more data and information.
6. Don’t worry if you are not able to cover everything you intended, as long as the meeting is productive. I’ve also seen salespeople cut someone off and move on to a new slide rather than discussing something of substance. I was actually told once by a sales leader that five minutes of discussion is all that is required in an initial 30-minute meeting, because our goal is to pique their interest. That approach just doesn’t work. You may impress them, but if you don’t start building confidence that you can help them, there probably won’t be a second call.
7. Next steps. Keep in mind that your time is valuable, and qualifying out a prospect who is not a good fit is essential – it helps you avoid false hopes and lets you focus on people who might genuinely need your help. The next meeting could go many ways, but it’s best to ask the prospect. Would they like to expand the audience? Is there a specific issue they would like to address? Would they like a product demo or a technical discussion? Is something like a non-disclosure agreement (NDA) keeping them from opening up? Lack of engagement on their part is a huge clue. Be direct and ask the tough questions now to avoid wasting valuable time and effort later.
Here is a mini success story. In 2010, my team and I began selling the first commercial vector high-performance analytics database. Several products were already out that claimed to be 70x-100x faster than others. Our pitch was that we were 70 times faster than other products. That was self-limiting from the start and likely prevented people from contacting us.
After two months of minimal success (I closed a deal with a small hedge fund, which was the only sale in all regions), we started a weekly webinar called “Why Fast Matters.” The focus was on positive business outcomes rather than specific technology and features (“speeds and feeds”). We opened with some “What if?” statements, such as: What if you get answers from complex queries faster than your competitors? What if you could do that without the cost, complexity, delays, and limitations of a Star Schema or pre-aggregated data? What if you could do this on commodity x86 hardware? We would then briefly cover the breakthrough technology (a precursor to Snowflake) and offer a free half-day meeting with a consultant.
Within the first two weeks, we met with a company that was later acquired by PayPal shortly before eBay acquired PayPal. This company was about to spend $500K on a proprietary hardware expansion that would have only provided additional capacity for the following year. Their customers bought advertising based on queries against the last six months of their data. I asked the question, “What if they could query against five years of data and get answers faster than they do today? Do you think that would help them buy more advertising? Do your customers ever ask for this?” They said their customers frequently ask for 12 months of data and would be willing to pay more for these capabilities. Still, they did not have a way to do this cost-effectively.
I closed a $360K ARR subscription deal in two weeks, and they purchased $100K of commodity Dell hardware for our software to run on. They saved 8% over their planned purchase, and more importantly, they rolled out advanced querying capabilities (against six years of data) in less than a month. There was incredible value to them and their customers, and it generated more business for them. We wouldn’t have identified this need if we’d focused primarily on features and technology.
As an aside, I was initially chastised for going off message, but after the Australian team adopted our approach and began closing deals, it became the new corporate standard. If something isn’t working, focus on finding ways to improve it. Even incremental change can be meaningful.
In the words of Tony Robbins, “If you do what you’ve always done, you’ll get what you’ve always gotten.”
Lessons Learned from Selling Kubernetes
Cloud-native, containerization, microservices, and Kubernetes have become very popular over the past few years. They are as complex as they are powerful, and for a large, complex organization, these technologies can be a game changer. Kubernetes itself is a partial solution – the foundation for something extraordinary. It can take 20-25 additional products to handle all aspects of the computing environment (e.g., ingress, services mesh, storage, networking, security, observability, continuous delivery, policy management, and more).
Consider the case of a major Financial Services company, one of my clients. They operated with 200 Development teams, each comprising 5-10 members, who were frequently tasked with deploying new applications and application changes. Before embracing Kubernetes, they deployed massive monolithic applications, with changes occurring only 2-3 times per year. However, with the introduction of Kubernetes, they transitioned to a daily deployment model, maintaining control and swiftly rolling back changes if necessary. This shift not only let them innovate faster but also enabled them to respond to opportunities and address needs more promptly.
Most platforms use Ansible and Terraform to create playbooks, manage configurations, and more. Over time, those configurations could become long and complex and were prone to errors. For more complicated configurations, such as multi-cloud and hybrid environments, the complexity is further amplified. “Configuration Drift,” or runtime configurations that differ from what was expected for various reasons, leads to problems such as increased costs due to resource misconfiguration, potential security issues from incorrectly applied or missing policies, and identity management issues.
The surprising thing was that when prospects identified those problems, they would look to new platforms that used the same tools to solve them. Sometimes, things would temporarily improve (after much time and expense for a migration), but then fall back into disarray as the underlying process issues still needed to be addressed.
Our platform used a new technology called Cluster API (or CAPI). It provided a central (declarative) configuration repository, making it quick and easy to create new clusters. More importantly, it performed regular configuration checks and automatically reconciled incorrect or missing policies. It was an immutable and self-healing Kubernetes infrastructure. It simplified overall cluster management and standardized infrastructure implementation.
All great stuff – who would not want that? This technology was new but proven, but it was different, which scared some people. These were a couple of recurring themes:
- The Platform and DevOps teams had a backlog of work due to existing problems, so they feared falling further behind more than they trusted a better alternative.
- Teams focused on their existing investment in a platform or on the sunk costs spent over a long period, attempting to solve their problems. The ROI on a new platform was often only 3-4 months, but that was challenging to believe, given their own experiences on an inferior platform.
- Teams would look at outsourcing the problem to a managed service provider. They could not explain how the problems would be specifically resolved, but did not seem concerned about that lack of clarity.
- There was a lack of consistency in the Kubernetes versions used, the add-ons and their versions, and one-off changes that were never intended to become permanent. Reconciling those issues or migrating to new, clean clusters both involved time and effort. That became an excuse to maintain the status quo.
- Unplanned outages were common and usually expensive. Using the cost of those outages as justification for something new was typically a last resort, as people didn’t like acknowledging problems that put a spotlight on them.
- Architects were curious about new and different things, but often lacked the gravitas within business leadership to effect change. They were usually unwilling or unable to explain how real changes happen within their company, or introduce you to the actual decision-makers and budget holders.
Focusing on outcomes and working with the Executives most affected by them tended to be the best path forward. Those companies and teams were rewarded with a platform that simplified fleet management, improved observability, and helped them avoid the risky, expensive problems that had plagued them in the past. And working with satisfied customers who appreciated your efforts and became loyal partners made selling this platform even more rewarding.
Finding the Right Fit in Sales
I won’t sell a product or service if I don’t believe in it or in the company behind it. But that is only part of the picture. Not all products or services fit everybody, but most fit somebody. Qualification matters, and qualifying accurately and quickly helps you earn more money. Whether you are a seller or leading a sales team, understanding the best-fit use cases can help you build your ICP and a repeatable sales motion, allowing you to:
- Find and prospect the best candidate companies.
- Demonstrate benefits for a credible and relevant use case.
- Find a sponsor who benefits from your offering.
- Accelerate the deal velocity – even in a large enterprise business.
- Close large deals faster – and more of them!
When I started selling at my last company, I was told that the typical deal size was $75K-$80K, with a 9-12 month sales cycle at a midsize company. I sold a Kubernetes Fleet Management platform, and I quickly found that most midsize companies lacked the containerization needs Kubernetes provides. Most also needed to gain the skills required for fairly complex solutions, which can take months. So, a great solution for some may not be the solution for all.
Large Enterprise companies had the need and the expertise to support Kubernetes, which started my profile development exercise. Large companies with a corporate-standard containerization product were less likely candidates, with a much longer sales cycle. Financial Services companies require strong end-to-end security and cannot afford breaches (reputationally and actual costs). Therefore, they had larger budgets and immediate needs, so they became a primary focus.
While looking at these companies’ environments, it became clear to me that with the right targeting, an initial deal could easily be in the $500K-$1 million range. And, if you successfully delivered what you promised, there could be several more significant follow-on deals. The icing on the cake is that by selling those companies what they need, solving significant problems or concerns, and treating them like the valued customers they are, they would reward you with loyalty and long-term business. That became my focus, and my assumptions proved to be accurate.
Finding the right fit for your product or service takes analysis, investigation, testing, and time. Getting this right creates the perfect opportunity for ongoing success and to scale results across the entire team. It also provides credibility when customers are willing to speak with prospects and sing your praises. Success breeds success.
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