It is interesting to see people in Sales and Marketing still focusing on features, performance, cost, and even value without creating linkage to what that means to a company from a business perspective. Once you understand what you are really selling it is possible to connect with prospects in a meaningful way that can help you both determine the potential fit.
Sales Qualification is essential for both efficiency and effectiveness. Effectiveness is all about results, and efficiency is all about achieving those results with the least amount of time and effort. This doesn’t mean that we are looking for a lazy approach to find a win. Rather, it is about identifying repeatable patterns of doing something that circumvents unnecessary activities, time spent, and associated costs. Being good at qualification doesn’t mean that you will be good at closing, but it is tough to become a good closer without having the number of “at-bats” that good qualification leads to.
The way to help yourself understand what you are selling is to view things from your prospect’s perspective. What struggles are they likely facing? Where are the greatest opportunities for their type of business? What is the difference between your prospect company and its main competition? This analysis requires a general understanding of the vertical and more specific understanding of the prospect company and 2-3 of their main competitors.
Now that you have identified an area where you believe there is a good fit the next step is to develop your target list for that profile. Much of the information you need can be found in Corporate filings (10-K and 10-Q filings for public companies, and Form 5500 filings for companies with a 401(k) plan – especially useful for private companies), websites like Owler.com and SimilarSiteSearch.com, and from social media sites like LinkedIn.com and Facebook.com). Then search for people in areas that are most likely affected and look for titles that are likely Stakeholders or Decision Makers.
The next item to focus on is messaging. Below are a few examples from my career –
- Analytics & Big Data – The focus here is often on data volume, the currency of the data, speed of queries, cost, maintenance, and downtime. Those things become important later in the sales discussion, but initially, companies want to know what problems your product or solution will solve.
- Some of my fastest deals sold because I demonstrated ways to make better decisions faster and/or identify problems before they were had the chance to become major problems. Avoiding problems and unplanned outages were key parts of the messaging.
- In one case I was able to close a significant deal in less than three months by focusing on how a company could provide five years of transactional data for their customers to use to make purchasing decisions in less time than it took the current system to analyze six months of data. Their sales increased after implementing the revised system. Helping their customers make better buying decisions faster was the winning message.
- Embedded Products – While many companies focus on APIs, features, or cost per unit, I would focus on how the product I was selling made things better and easier for Customer Support and Customer Satisfaction. Things like stability, lack of maintenance required, data integrity, performance over time, messaging when something abnormal or concerning was observed, etc.
- I sold a $1.1 million deal in less than two months to a medical device company by focusing on the life of those devices often being 10-15 years and how their customers need to be assured that the results will be the same from machine-to-machine, even if one of those machines is much newer than the rest of the machines. Consistency over time was the winning message here.
- After being approached by a Defense Contractor for a relational database product for a new Flight Simulator system I changed the discussion to the complexity of flight control systems, the need to correlate 30+ operational systems in real-time, and the importance of taking a verbal command and translating it to specific commands for each system. That led to the sale of a NoSQL product that was ideally suited for this complex environment. The idea of letting our software handle the really complex work helped win this deal.
- Consulting Services – This is not contracting or body shop services (commodities), but true Business and Technical Consulting services that were high visibility and high impact. In these cases expertise, experience, and having a track record of success in different but demanding scenarios provided confidence. Often these were multi-phase engagements to first prove our value before making a large commitment.
- In a bid against two well-established competitors, we won a deal with a large Petroleum company that was nearly $500K. The proposal included information that we uncovered about the system and use case and later verified with the prospect, a section on our people and some past projects, and then a high-level project plan with firm-fixed pricing. We won the bid and I later found out that our cost was $50K higher than the largest competitor and more than $100K more than the other competitor. The customer told me that, “Your proposal demonstrated the understanding of who we are and what we need, and that confidence provided the justification to select your company and pay a premium to have the job done right the first time.”
- My first million-dollar deal was in the 1990s and was with a company that we demonstrated our ability to solve problems. They knew they needed assistance but were not exactly sure where. I created a “Pool of Days” concept that provided flexibility in the work performed (task, deliverables, and scheduling) but had minimum monthly burn rates and an expiration date to protect my company. This led to many other deals of this nature with other companies. Flexibility and the ability to accommodate changing needs without introducing significant risk or additional cost was the winning messaging here.
As you see from these examples the common theme is helping companies solve their specific business problems. Even in cases where technology was central to that message the focus was always on better results for that prospect and their customers. Value is important but the results matter even more for most purchasing decisions.
Nobody wants to be responsible for taking a chance on a new vendor and be responsible for a high-profile failure. Helping instill confidence early on makes a huge difference and following-through to successful implementation results in happy customers who become great customers and provide important referrals.
It all starts by selling what you know you can do from a business perspective for your Prospects to make their lives easier and business better, rather than selling what you know you have from a technical perspective.
I’m sure that everyone has read articles that state some “facts” for managing your “sales pipeline” or “sales funnel.” Things like needing 10x-30x of your goal at the start of the process, down to needing 2x-3x coverage at the start of a quarter to help increase your odds of achieving your goal. Now, if it was only that easy…
First, what are you measuring? The answer to this question is something that anyone with a sales quota should be able to succinctly answer. For example, are you measuring?
- Bookings – Finalized Sales Orders
- What happens when Sales Operations, Finance or Legal pushback on a deal? You have a PO, but has the deal really been closed?
- Billings – Invoicing Completed
- This includes dependencies that have the potential to introduce delays that may be unexpected and/or outside of your control.
- Revenue – In-depth understanding of Revenue Recognition rules is key.
- How much revenue is recognized and when it is recognized varies based on a variety of factors, such as:
- Is revenue Accrued or Deferred? This is especially key for multi-year prepaid deals.
- Is revenue recognized all at once – such as for the sale of Perpetual Software Licenses? (even this is not always black and white)
- Is revenue recognized over time – such as with annual subscriptions that are ratable on a monthly basis?
- Is revenue based on work completed / percentage of completion? This is more common with Services and Construction. Combining contracts, such as selling custom consulting services with a new product license, can complicate this.
- Are there clauses in a non-standard agreement that will negatively affect revenue recognition? This is an area where your Legal team becomes an invaluable contributor to your success.
- Cash Flow – Is this really Sales forecasting?
- The answer is ‘no’ in terms of Accounting rules and guidance.
- But, if you have a start-up or small business this can be key to “keeping the lights on,” in which case the types of deals and their structure will be biased towards cash flow enhancement and/or goals.
- How much revenue is recognized and when it is recognized varies based on a variety of factors, such as:
My advice is to work closely with your CFO, Finance Team, Sales Operations Team, and Legal team to understand the goals and guidelines, and then take that one step further to create policies that are approved by those stakeholders and are then shared with the Sales team to avoid any ambiguity around process and expectations.
So, now the hard part is over, right?
It could be that easy if you only have one product that is well established, has a stable install base, has no real competitive threats, where the rate of growth or decline is on a steady and predictable path, and where pricing and average deal size is consistent. I have not seen a business like that yet but would have to believe that at least a few of them exist.
Next, what are you building into your model to maximize accuracy? Every product or service offered may be driven by independent factors, so a flat model that evenly distributes sales over time (monthly or quarterly) is just begging to be inaccurate. For example:
- One product line that sells perpetual licenses may be dependent on release cycles ever 18-36 months.
- A second product line may be driven mainly by renewals and expansion on fairly stable timelines and billings.
- A third product line may be new with no track record and in a competitive space – meaning that even the best projections will be speculative.
- And finally, there could be Services associated with each of those product lines and driven by an even greater number of dependent and independent factors (new implementations, upgrades, implementing new features, platform changes and modernization, routine engagements, training, etc.)
Historical trends are one important factor to consider, especially because they tend to be the thing that you have the greatest control over. This starts with high-level sales conversion rates and goes down to average sales cycle, seasonal trends, organic growth rates, churn rates, and more. Having accurate data over time that can be accurately correlated is extremely helpful. But, factors such as Product SKU changes, licensing model changes, new product bundles, etc. increase the complexity of that effort and potentially decrease the accuracy of your results.
Correlating those trends to external factors, such as overall growth of the market, relative growth of competitors, economic indicators, corporate indicators (profits, earns per share, distributions, various ratios, ratings, etc.), commodity and futures prices (especially if you install base tends to skew towards something like the Petroleum Industry), specific events, and so forth can be a great sanity check.
The best case is that those correlations increase your forecasting accuracy for the entire year. In all likelihood what they really do is provide valuable inputs that allow you to dynamically adjust sales plans as needed to ensure overall success. But, making those changes should not be done in a vacuum, and communicating the potential need for changes like that should be done at the earliest point where you have a fair degree of confidence that change is needed.
There will always be unexpected events that negatively impact your plans. Changes to staffing or the competitive landscape, reputational changes, economic changes, etc. can all occur quickly and with “little notice.” That is especially true if you are not actively looking for those subtle indicators (leading and trailing) and nuances that place a spotlight potential problems and give you time to do as much as possible to proactively address them. Be prepared and have a contingency plan!
Forecasting accuracy drives confidence, and that confidence leads to having the ability to do things like getting funding for new campaigns or initiatives. Surprises, even positive ones, are generally disliked simply because the results were different than the expectations and that begins to fuel other doubts and concerns.
Confidence comes from understanding, good planning, helping everyone with a quota and the teams supporting them to do what is needed when it is needed to optimize the process, and then to have an effective approach to determine whether deals really are on-track or not so that you can provide guidance and assistance before it is too late.
It may not be easy, but it is the thing that helps drive companies to that next level on a sustainable growth trajectory. In the end, that is what matters the most to the stakeholders of any business.
As an aside, there are myriad of rules, regulations, and guidance statements provided by a variety of sources that apply to each business scenario. I am neither an Accountant nor an Attorney, so be sure to consult with the appropriate people within your organization or industry as part of your routine due diligence.
Today I ran across this article that was very good as it focused on lessons learned, which potentially helps everyone interested in these topics. It contained a good mix of problems at a non-technical level.
Below is the link to the article, as well as commentary on the Top 3 items listed from my perspective.
The article starts by discussing how the “problem” being evaluated was misstated using technical terms. It led me to believe that at least some of these efforts are conducted “in a vacuum.” That was a surprise given the cost and strategic importance of getting these early-adopter AI projects right.
In Sales and Marketing you start the question, “What problem are we trying to solve?” and evolve that to, “How would customers or prospects describe this problem in their own words?” Without that understanding, you can neither initially vet the solution nor quickly qualify the need for your solution when speaking with those customers or prospects. That leaves a lot of room for error when transitioning from strategy to execution.
Increased collaboration with Business would likely have helped. This was touched on at the end of the article under “Cultural challenges,” but the importance seemed to be downplayed. Lessons learned are valuable – especially when you are able to learn from the mistakes of others. To me, this should have been called out early as a major lesson learned.
This second area had to do with the perspective of the data, whether that was the angle of the subject in photographs (overhead from a drone vs horizontal from the shoreline) or the type of customer data evaluated (such as from a single source) used to train the ML algorithm.
That was interesting because it appears that assumptions may have played a part in overlooking other aspects of the problem, or that the teams may have been overly confident about obtaining the correct results using the data available. In the examples cited those teams did figure those problems out and took corrective action. A follow-on article describing the process used to make their root cause determination in each case would be very interesting.
As an aside, from my perspective, this is why Explainable AI is so important. There are times that you just don’t know what you don’t know (the unknown unknowns). Being able to understand why and on what the AI is basing its decisions should help with providing better quality curated data up-front, as well as being able to identify potential drifts in the wrong direction while it is still early enough to make corrections without impacting deadlines or deliverables.
This didn’t surprise me but should be a cause for concern as advances are made at faster rates and potentially less validation is made as organizations race to be first to market with some AI-based competitive advantage. The last paragraph under ‘Training data bias’ stated that based on a PWC survey, “only 25 percent of respondents said they would prioritize the ethical implications of an AI solution before implementing it.”
The discussion about the value of unstructured data was very interesting, especially when you consider:
- The potential for NLU (natural language understanding) products in conjunction with ML and AI.
- This is a great NLU-pipeline diagram from North Side Inc. in Canada, one of the pioneers in this space.
- The importance of semantic data analysis relative to any ML effort.
- The incredible value that products like MarkLogic’s database or Franz’s AllegroGraph provide over standard Analytics Database products.
- I personally believe that the biggest exception to assertion this will be from GPU databases (like OmniSci) that easily handle streaming data, can accomplish extreme computational feats well beyond those of traditional CPU based products, and have geospatial capabilities that provide an additional dimension of insight to the problem being solved.
Update: This is a link to a related article that discusses trends in areas of implementation, important considerations, and the potential ROI of AI projects: https://www.fastcompany.com/90387050/reduce-the-hype-and-find-a-plan-how-to-adopt-an-ai-strategy
This is definitely an exciting space that will experience significant growth over the next 3-5 years. The more information, experiences, and lessons learned shared the better it will be for everyone.
This should be the goal for any business, regardless of the products you sell or the services you provide. The idea is to create a mutually beneficial relationship that motivates people to want to continue working with you, despite the availability of competitive products and/or the possible concerns or objections of others (e.g., those pushing for a “Corporate Standard” involving another product.)
The best part is that this concept applies to all companies and all Product Life Cycle stages. Whether your company is on a rapid growth trajectory towards ‘Unicorn status,’ your offerings are mature and may be viewed as ‘less exciting,’ or your products are on the decline and you are seeking the ‘longest tail’ possible – this will help. At each phase, there are credible threats from competitors that seek to grow through the erosion of your business.
Several years ago I was responsible for two product lines in two major geographic regions (Americas and APAC/Japan). Our attrition rate (“churn”) had traditionally been slightly below the industry average. We began seeing an increase in churn and a corresponding slight decrease in organic growth. Both were indicators that something needed to change.
After discussions about tactical approaches to address this, our small leadership team agreed that this was a strategic issue that we needed to address. The result was an understanding that we needed to create ‘Customers for Life.’ Everyone agreed with the concept, but due to a variety of differences (culture, who our customer was – end customer vs. channel partner, buying patterns, etc.), we agreed to try what was best for our own businesses and share the results and lessons learned.
My approach was to focus on developing strong relationships that fostered collaboration and ultimately led to growth and success for both parties. The basic premise was simple:
- People tend to buy from people they like, respect, and trust. Become one of those people for your customers.
- Helping companies achieve better outcomes leads to greater success for both our customers and us.
How did we do it? It was a systematic process that included the following:
- Develop simple profiles for each customer (e.g., products used, date of first purchase, size of footprint, usage and payment trends, industry).
- A minimum size – based on either the size of the product footprint, annual amount spent with us, or size of the company, was used to prioritize companies and organizations having the greatest potential impact.
- Make contact multiple times each year, and not just when you wanted money.
- These “out of cycle” contacts turned became very important.
- Ask questions about key initiatives, milestones, and concerns.
- The responses were documented, and that helped seed following conversations and demonstrate an interest in what they were doing.
- Request meetings to understand how they are using our products and get a brief update on what our company has been doing.
- Meeting people face-to-face is always good.
- Learning more about their business, systems, goals and challenges created opportunities to really add value.
- Look at what they were doing with our products and offer suggestions to do more, do something better or more efficiently, call out potential problems and offer suggestions and discuss best practices. Often, I would have a technical expert follow-up and provide an hour or two of free assistance relating to those findings.
- Look for opportunities to congratulate them.
- It demonstrates that they are important enough that you are paying attention.
- Google Alerts made this easy.
- Regularly ask our customers if there is anything that we could do to help them.
- They would often reciprocate, which led to an increase in references and referrals.
- Continuous Improvement – Analyze the results and refine the process as needed.
As I met with our Customers and Channel Partners I would explain what ‘Customer for Life’ meant to us, and the potential benefits to them. Prior to the meeting, I would check to see if we had (or they wanted) an NDA in-place so that they could speak freely without having concern that this information would be shared with potential competitors. It was a good step towards developing trust and helping them feel comfortable in disclosing information that would help us understand their situation.
Prior to the meeting, I would spend an hour or two researching the company, their history, major events for that company and within their industry, and identify their top 2-3 competitors. This is where my consulting background really came in handy. Showing interest and understanding created credibility and ask relevant questions, which allowed conversations to progress to substantive issues in much less time. From there I could focus on specific points that would add the most value to that specific customer.
Over the course of two years, my team and I helped our customers innovate by providing different perspectives and ideas, modernize (e.g., move to spatial analytics to get a more granular understanding of their own business, or cloud-enable their systems to increase responsiveness to their business and control costs), improve their systems and grow their businesses. We also received feedback that helped us improve our products and a variety of processes – something that benefits all customers. Collaboration and success created strong relationships with many of those customers.
From a business perspective our customer churn decreased by 50% over the same period, and organic growth increased slightly more than 20%. We had achieved our objectives and improved our bottom line. The concepts behind Strategic Account Management, Voice of Customer, Customer Loyalty and Customer Success had blended into a practical approach that was not burdensome and provided a great ROI.
One of my biggest lessons learned was that adopting this mindset and creating a repeatable process is something that can be done anytime, and really should be done sooner than later.
Every day that you are not creating your own ‘Customers for life’ there is a good chance that your competition is.
Edit: Added category and tags
A while back I wrote a post titled, To Measure is to Know. That is only part of the story, so please read on.
The other side of the coin is that what you measure defines how people behave. This is an often forgotten aspect of Business Intelligence, Compensation Plans, Performance reviews, and other key areas in business. While many people view this topic as “common sense,” based on the numerous incentive plans that you run across as a consultant it seems that is not the case.
Is it a bad thing to have people respond by focusing on specific aspects of their job that they are being measured on? That is a tough question. This simple answer is, “sometimes.” This is ultimately the desired outcome of implementing specific key performance indicators (KPIs), but it doesn’t always work. So, let’s dig into this a bit deeper.
One prime example is something seemingly easy yet often anything but – Compensation Plans. When properly implemented these plans drive organic business growth through increased sales and revenue (both likely items being measured), as well as drive steady cash flow by constantly closing within certain periods (usually months or quarters). What could be better than that?
Salespeople focus on the areas where they have the greatest opportunity to make money. Presumably they are selling the products or services that you want them to based on their comp plans. Additionally, certain MBO (management by objective) goals are presumably focused on positive outcomes that are important to the business, such as bringing-on new reference accounts. Those are forward looking goals that increase future (as opposed to immediate) revenue. In a perfect world, with perfect comp plans, all of these business goals are codified and supported by motivational financial incentives.
Some of the most successful salespeople are the ones that primarily care only about themselves. They are in the game for one reason – to make money. Give them a plan that is well constructed and allows them to win and they will do so in a predictable manner. Paying large commission checks should be a goal for every business, because when they are doing that their own business is prospering.
But, give a salesperson a plan that is poorly constructed and they will likely find ways to personally win in ways that are inconsistent with company growth goals (e.g., paying commission based on deal size, but not factoring in the overall impact of excessive discounts). Even worse, give them a plan that doesn’t provide a chance to win and the results will be uncertain at best.
Just as most tasks tend to expand to use all time available, salespeople tend to book most of their deals at the end of whatever period is being used. With quarterly cycles most of the business tends to book in the final week or two of the quarter – something that is not ideal from a cash flow perspective. Using shorter monthly periods may increase business overhead, but the potential to significantly increase business from salespeople working harder for that immediate benefit will likely be a very worthwhile tradeoff.
What about motiving Services teams? What I did with my company was to provide quarterly bonuses based on overall company profitability and each individual’s contribution to our success that quarter. Most of our projects used task oriented billing where we billed 50% up-front and 50% at the time of the final deliverables. You needed to both start and complete a task within a quarter to maximize your personal financial contribution, so there was plenty of incentive to deliver and quickly move to the next task. As long as quality remains high this is a good thing.
We also factored-in salary costs (i.e., if you make more than you should be bringing-in more value to the company), the cost of re-work, and non-financial items that were beneficial to the company. For example, writing a white paper, giving a presentation, helping others, or even providing formal documentation on lessons learned added business value and would be rewarded. Everyone had the right motivation, performed work and delivered quality work products as needed, and made good money doing so.
This approach worked very well for me, and was continually validated over the course of several years. It also fostered innovation, because the team was always looking for ways to increase their value and earn more money. Many tools, processes and procedures came out of what would otherwise be routine engagements.
Mistakes with comp plans can be costly – due to excessive payouts and/or because they are not generating the expected results. Back testing is one form of validation as you build a plan. Short-term incentive programs are another. Remember, where there is not risk there is little reward, so accept the fact that some risk must be taken to find the point where the optimal behavior is fostered.
It can be challenging and time consuming to identify the right things to measure, the right number of things (measuring too many or too few will likely fall short of goals), and provide the incentives that will motivate people to do what you want or need. But it is definitely worthwhile work if you want your business to grow and be healthy.
This type of work isn’t rocket science, and therefore is well within everyone’s reach.
Pricing is one of those things that can make or break a company. Doing it right takes an understanding of your business (cost structure and growth / profitability goals), the market, your competition, and more. Doing it wrong can mean the death of your business (fast or slow), not being able to attract and retain the best people, and not having the opportunity to work to your full potential. These problems apply to companies of all sizes – although large organizations can absorb bad pricing decisions or sustain an unprofitable business much easier than small ones.
When I started my consulting company in 1999 the plan was to win business by pricing our services 10%-15% lower than the competition. It was a bad plan and it didn’t work. Unfortunately, this approach is something you see all too often in businesses today. In our case we didn’t start to grow until we increased our prices (about 10% more than the competition) and focused on our expertise and value. We were (correctly) perceived as being a premium alternative, and that positioning helped us grow.
Several years ago I had a management consulting engagement with a small software company. The business owner told me that they were, “an overnight success that was 10 years in the making.” His concern was that they might not be able to capitalize on recent success so he was looking for an outside opinion.
I analyzed his business, product, customers, and competition. His largest competitor is the industry leader in this space, and products from both companies were evenly matched from a feature perspective. My client’s product even had a few key features that better for Healthcare and Union environments. So, why weren’t they growing faster?
What I found is that competition was priced 400% higher for the base product. When I asked the owner, he told me their goal was to be priced 75% – 80% less than the competition. He could not explain why he did this, other than to state that his customers would be unwilling to pay any more than that. In many cases he lost head-to-head competition against that competitor, but almost never on features. Areas of concern were generally on the size and profitability of the company, and the risk created by each.
I shared the graph (below) with this person, explaining how proper pricing would increase their profitability and annual revenue, and how both of those items would help provide customers and prospects with confidence. Moreover, this would allow the company to grow, eliminate single points of failure in key areas (Engineering and Customer Support), add features, and even spend money on marketing.
In another example I worked with the Product Manager of a larger software company who was responsible for producing quarterly product package distributions. This work was outsourced and each build cost approximately $50K. I asked a simple question, “What is the break-even point for each distribution?” That person replied, “There really isn’t a good way to tell.”
By the end of the day I provided a Cost-Volume-Profit (CVP) analysis spreadsheet that showed the break-even point. Even more important, it showed the contribution margin and demonstrated there was very little operating leverage provided these products (i.e., they weren’t very profitable even if you sold a lot of them). The recommendations made were to increase prices (which could negatively impact sales) and/or make fewer releases per year, or find a more cost-effective way of releasing products. Without this analysis “business as usual” would have likely continued for several years.
Companies are in business to make money – pure and simple. Everything you do as a business owner or leader needs to be focused on growth. Growth is the result of a combination of factors, such as uniqueness of product or services provided, quality, reputation, efficiency and repeatability. Many of these are the same factors that drive profitability. Pricing can help drive profitability, so as you can see pricing can significantly impact growth.
Some customers and prospects will do everything possible to whittle your profit margins down to nothing. They are focused on their own short-term gain, and not on their long-term risk. Companies that are not profitable generally lack longevity. Those same companies expect to make a profit on their business, so it is unreasonable to expect anything different from suppliers. My feeling is that, “Not all business is good business” so it is better to walk away from bad business and focus on the business that helps your company grow.
One of the best books on pricing that I’ve ever found is, “The Strategy and Tactics of Pricing: A Guide to Profitable Decision Making” by Thomas T. Nagle and Reed K. Holden. This is an extremely comprehensive and practical book that I recommend to anyone responsible for pricing or who has P&L responsibility within an organization. This addresses the many complexities of pricing and is truly invaluable.
In a future post I will discuss the metrics that I use to understand efficiency and profitability. Metrics can be your best friend when it comes to finding ways to optimize pricing and maximizing profitability. This can help you create a systematic approach to business that increases efficiency, consistency, and quality.
At my company we developed a system where we know how long common tasks would take to complete, and had efficiency factors for each consultant. This allowed us to create estimates based on the type of work and the people most likely to work on the task, and fix bid the work. Our bids were competitive, and even when we were the highest priced bid we often won because we would be the only (or one of the few) companies to guarantee prices and results. Our level of effort estimates were +/- 4%, and that helped us maintain a 40%+ minimum gross margin for every project. This approach helped our business double in revenue without doubling in size.
There are many causes of poor pricing, which include: Lack of understanding of cost structure; Lack of understanding of the level of effort; and lack of concern for profitability (e.g., salespeople who are paid on the size of the deal, and not on margins or profitability). But, with a little understanding and effort you can make small adjustments to your pricing approach and models that can have a huge impact to the bottom line of your business.
My son is playing basketball this year (previously he played football and soccer), and recently we went shopping for new shoes. Each store had pictures of Michael Jordan. I used to love watching MJ play with the Chicago Bulls. He was the epitome of skill and professionalism. To this day he inspires me.
Some people are just naturally talented, but even they need to work hard to maximize their potential. Hard work is an important aspect of being the best of anything, but it takes more than that. It takes doing things in a manner that allows you to continuously improve, as well as a positive mindset and commitment to success. Once people reach that level of high performance their job begin to look easy, and they may even appear to be “naturals” – just like Mike.
Most of my career changes have been unplanned. Opportunities presented themselves, the job seemed interesting, and before I knew it I was fully immersed in something related but different. Many of these things have not come naturally to me. Each time I have focused on understanding the requirements for doing the job well, then look for examples of exceptional performance, and then create a systematic approach that allowed me to measure performance and identify areas of improvement.
Sales has been a large part of my consulting management jobs since the mid-1990’s, but it wasn’t until I owned my own company that this became a true priority. I ran across a good book, The Accidental Salesperson by Chris Lytle. Back then Chris Lytle had “MAX Training,” and a large part of their focus was increasing your “level” with regard to Prospect and Client relationships. The training was good, and was complementary to systems like Miller Heiman. What each of these systems do is help you prepare, plan, and then execute to the best of your ability. And like basketball, it takes practice to master (although you can get immediate value, so don’t wait until you have finished to begin trying).
Regardless of the system used, what is important no matter what you are trying to be the best at is to look at both positive and negative examples to see what you can learn from them. There are lessons to be learned everywhere! Understanding what makes it good or bad helps you improve as part of a continual process. Incorporating new tools and techniques into what has already been proven to work for you can improve your game. Going back to the sports analogy, this could be part of what made Michael Jordon so good. He would see something interesting, improve it, and then make it his own.
For example, I get a lot of really horrible sales calls and email. The people have obviously not done any preparation, do not know anything about me or the company I work for, and often remind me of why I stopped listening to them by referring to the number of times they have tried contacting me. On the other hand, there are some really talented sales professionals who have done their homework, understand their products and the competition, and have an idea about why what they are selling should matter to me. I speak with them and occasionally buy from them. And in either case I provide my team with real life examples of good and bad sales techniques.
So, think of the best example of whatever it is you do, and see what you can do to become more like them. This isn’t about imitation, but rather about uncovering the secrets of their success and learning from them. And, have some fun doing it!