Sales Metrics Quotes

Why was I the Most Popular President Who Ever Lived? I castrated the IRS, implemented the National Sales Tax (Fair Tax) and brought an end to parasitic government - all through the use of numbers, statistics. business metrics, graphs, pie charts, efficiency - in short - results.

Have patience with all things, but chiefly have patience with yourself. Do not lose courage by considering your own imperfections, but instantly set about remedying them; every day begin the task anew. —FRANCIS DE SALES

Twenty metric tonnes of confiscated gold, worth US$200 million, held in its vaults was made available by the RBI to the State Bank of India for sale, with a repurchase option, to the Union Bank of Switzerland.

The customer is also at the center of how we analyze and manage performance metrics. Our emphasis is on what we call controllable input metrics, rather than output metrics. Controllable input metrics (e.g., reducing internal costs so you can affordably lower product prices, adding new items for sale on the website, or reducing standard delivery time) measure the set of activities that, if done well, will yield the desired results, or output metrics (such as monthly revenue and stock price). We detail these metrics as well as how to discover and track them in chapter six.

You learn to speak by speaking, to study by studying, to run by running, to work by working; and just so you learn to love … by loving. —FRANCIS DE SALES

FIGURE 5.20 The Sales Force’s DNA However, it wasn’t yet a full set of operating instructions. To make the code practically useful, we would need to understand how the framework should be applied to the task of managing any particular sales force. We had the “superset” of things leadership could measure and manage, but we needed clear guidelines to help cull from it the handful of activities and metrics that would enable leadership to focus on its own organizational goals. We needed to know how to apply these insights in a targeted and tactical way. Fortunately, we were on the verge of doing just that.

If You Only Track Five Metrics… Track as many of these as you can in your sales force automation system’s dashboards: New leads created per month (also, from what source). Conversion rate of leads to opportunities. Number of, and pipeline dollar value of, qualified opportunities created per month. This is the most important leading indicator of revenue! Conversion rates of opportunities to closed deals. Booked revenues in three categories: New Business, Add-On Business, Renewal Business.

Buyer Legends is a business process that uses storytelling techniques to map the critical paths a prospective buyer might follow on his journey to becoming a buyer. This process aligns strategy to brand story to the buyer’s actual experience on their customer journey. These easy-to-tell stories reveal the opportunities and gaps in the customer’s experience versus the current marketing & sales process. These legends communicate the brand’s story intent and critical touch point responsibilities within every level of an organization, from the boardroom to the stockroom. Buyer Legends reconcile the creative process to data analysis; aligning metrics with previously hard-to-measure marketing, sales, and customer service processes. The first result is improved execution, communications, and testing. The second result is a big boost to the bottom line.

Do billboard salesmen record their sales on charts? If so, who's at the top of the billboard charts for billboard sales?

BUYER’S MATRIX Position: Roles/Responsibilities: What are they in charge of or expected to manage? Business Objectives and Metrics: What do they want to achieve? How do they measure success? How are they evaluated? Strategic Initiatives: What likely strategies and initiatives are in place to help them achieve their objectives? Internal Challenges: What likely issues does the organization face that could prevent/hinder goal achievement? External Challenges: What external factors or industry trends might make it more difficult to reach their objectives? Primary Interfaces: Who do they frequently interact with (e.g., peers, subordinates, superiors, and external resources)? Status Quo: What’s their status quo relative to your product or service? Change Drivers: What would cause them to change from what they’re currently doing? Change Inhibitors: What would cause them to stay with the status quo, even if they’re unhappy?

If you have been hired to clean up a failing company’s sales department, it is very important to quickly identify who the underperformers are. You need solid metrics to determine this, but such metrics often don’t exist in failing companies. You can’t always look at just the sales numbers to determine who needs to leave; while sales departments usually get the blame when companies go under, failure is usually due to poor strategy and management. Therefore, an individual’s sales failure may not be due to a lack of ability, and extreme care must be taken to accurately determine the root cause so that proper action is taken.

1. Are the metrics you use supporting consistent and predictable achievement of your sales plan? Are they predictors of future performance?   2. What data could you use to develop double graph overlays to present the vitality of the sales force?   3. How useful would double graph overlays be for management review sessions?

The objective of the Market Coverage sales metrics is to help make staffing and time allocation adjustments that will keep your sales force operating at peak productivity. There

People who have lost their sentness expect their church to deliver on its promises to meet their needs, to care for them, to make them feel good. Pastors who have lost their sentness see their primary responsibilities as organizing services and meeting the needs of the people who are paying the bills. People who have lost their sentness gauge the success of their pastors according to metrics related to sales: more customers, more money and, ideally, a more fancy showroom. In other words, we measure church success by buildings, butts on seats and bucks in the offering.

The second use of sales pipeline metrics is to measure the effectiveness of salespeople at moving opportunities through their sales cycles.

It became quickly apparent that sales pipeline metrics have two distinct uses. The first intended use is to measure the health of the company looking into the future.

Troppi grassi, troppo sale e troppo zucchero. Ma soprattutto poca frutta e verdura. Mangiare male fa male, fa ammalare e spesso fa morire. La cattiva alimentazione uccide più del tabacco ed è responsabile di un decesso su cinque a livello globale. E' il drammatico bilancio tracciato dal Global Burden of Disease dell'Institute of Health Metrics and Evaluation di Seattle, che ha indagato sugli stili alimentari di 195 Paesi nel mondo, i cui risultati sono stati pubblicati sulla prestigiosa rivista medica <>.

A good metric changes the way you behave. This is by far the most important criterion for a metric: what will you do differently based on changes in the metric? Drawing a line in the sand is a great way to enforce a disciplined approach. A good metric changes the way you behave precisely because it’s aligned to your goals of keeping users, encouraging word of mouth, acquiring customers efficiently, or generating revenue. Unfortunately, that’s not always how it happens. At one company, Alistair saw a sales executive tie quarterly compensation to the number of deals in the pipeline, rather than to the number of deals closed, or to margin on those sales. Salespeople are coin-operated, so they did what they always do: they followed the money. In this case, that meant a glut of junk leads that took two quarters to clean out of the pipeline—time that would have been far better spent closing qualified prospects. Of course, customer satisfaction or pipeline flow is vital to a successful business. But if you want to change behavior, your metric must be tied to the behavioral change you want. If you measure something and it’s not attached to a goal, in turn changing your behavior, you’re wasting your time. Worse, you may be lying to yourself and fooling yourself into believing that everything is OK. That’s no way to succeed.

But the most engaging part of the planning process should be having people figure out how they’ll achieve their OKRs. OKRs have to be aggressive enough so that people don’t quite know how to reach them at the start of the journey. Even if they have an idea of what they should do, there must be a chance of the OKR not being hit. For example, let’s say your company needs to grow 25% in revenues in a given quarter. How the company will hit that goal is going to be a matter of great thinking and creativity. The journey starts with analyzing the data to understand pockets of opportunity. Where can the sales process be improved? Where is there breakage in the sales process? Where are the low hanging fruits? Let’s say this analysis shows that salespeople have too few leads and therefore need more leads to work on. You then calculate that at your recent-past conversion rates, you’d need to grow leads by 100% in order to grow sales by 25%. That’s the first hypothesis. So you unfold a “grow the number of leads” Objective to marketing and a Key Result of “generate 15,000 more inbound leads quarter-on-quarter.” Of course, there’s a chance that growing leads won’t result in more sales. Getting it right is good management and good thinking.

In order to increase the profitability of the company, we will have to increase sales, cut costs and expenses and implement Six Sigma.

There is a level of maturity where the metrics no longer matter; the likes, fans, sales figures, accolades, social statuses, etc, counts for nothing. You just live in the zone, being a blessing in every little way. No funfairs, no hypes, no media nor the masses. Simply driven by a larger cause for God and humanity.

Demand generation. Marketing to drive sales in the short term. Think coupons, sales, limited time offers, etc.

1. What are the expected levels of performance? What are the expected attitudes or behaviors? How will we measure those? How will we know whether people are performing to expectation? What is the best practice? Let’s take a very simple example. How do you know if the salesperson is doing a good job in executing their deal strategy if you have no sales process, or incomplete/bad process metrics? Without these, you and they have no basis for knowing what great execution of a deal strategy is, so you have no basis for assessing an individual performance or coaching them.

For the purpose of this discussion, it is useful to think about technology acquisitions in three categories: 1. Talent and/or technology, when a company is acquired purely for its technology and/or its people. These kinds of deals typically range between $5 million and $50 million. 2. Product, when a company is acquired for its product, but not its business. The acquirer plans to sell the product roughly as it is, but will do so primarily with its own sales and marketing capability. These kinds of deals typically range between $25 million and $250 million. 3. Business, when a company is acquired for its actual business (revenue and earnings). The acquirer values the entire operation (product, sales, and marketing), not just the people, technology, or products. These deals are typically valued (at least in part) by their financial metrics and can be extremely large (such as Microsoft’s $30 billion–plus offer for Yahoo).

P&G switched from market TSR to operating TSR. Operating TSR is an amalgamated measure of three real operating performance measures—sales growth, profit margin improvement, and increase in capital efficiency. This measure more accurately captures P&G’s true performance across the most critical operational metrics and, moreover, measures things that business-unit presidents and general managers can actually influence, unlike the market-based TSR number. The operating TSR measure integrates revenue growth, margin growth, and cash productivity and it does so regardless of the type of assets being managed—whether you have hard assets like tissue/towel paper converting machines or inventory like cosmetics and fragrance products. In other words, the measure could be equitably and usefully applied to all of P&G’s diverse businesses. And it isn’t utterly unconnected to stock performance—there is a high correlation over the medium and long term between operating TSR and market TSR. But unlike the stock price, the operating TSR measures are ones over which P&G managers have real influence in the short and medium term.

In an effort to help decode these buyer actions, researchers from consumer intelligence firm Motista found specific “emotional motivators” that provide a critical indicator of customers’ potential affinity to a company.2 In fact, these emotional motivators, a proxy for value, were more compelling than any other metric in terms of driving key buying sentiments such as brand awareness and customer satisfaction. While hundreds of emotional motivators were found to drive consumer behavior, the study found ten that drove significant levels of customer value across all of the categories studied. I am inspired by a desire to: Brands can leverage this motivator by helping customers: Stand out from the crowd Project a unique social identity; be seen as special Have confidence in the future Perceive the future as better than the past; have a positive mental picture of what’s to come Enjoy a sense of well-being Feel that life measures up to expectations and that balance has been achieved; seek a stress-free state without conflicts or threats Feel a sense of freedom Act independently, without obligations or restrictions Feel a sense of thrill Experience visceral, overwhelming pleasure and excitement; participate in exciting, fun events Feel a sense of belonging Have an affiliation with people they relate to or aspire to be like; feel part of a group Protect the environment Sustain the belief that the environment is sacred; take action to improve their surroundings Be the person I want to be Fulfill a desire for ongoing self-improvement; live up to their ideal self-image Feel secure Believe that what they have today will be there tomorrow; pursue goals and dreams without worry Succeed in life Feel that they lead meaningful lives; find worth that goes beyond financial or socioeconomic measures

You will make sure your team is working on the right opportunities at the right time through your efforts to hone the team’s focus. You’ll lead the field each day with the right people in the right roles in the right places with the right tools and the right resources through your efforts to build it. Your team will consistently execute through your efforts to drive the fundamentals. You will predict the future through measuring the right KPIs and metrics engrossing your responsibility to forecast. And you will drive fun through the creation, management, and optimization of an environment where your team is intrinsically inspired, so they’ll show up, do their best, stay, and tell their friends.

This insight prompted Lafley to switch the bonus metric from TSR to something called operating TSR, which is based on a combination of three real operating performance measures—sales growth, profit margin improvement, and increase in capital efficiency. His belief was that if P&G satisfied its customers, operating TSR would increase, and the stock price would take care of itself over the long term. Moreover, operating TSR is a number that P&G’s business unit presidents can truly influence, unlike the market-based TSR number.

Amazon Comprehend is a natural language processing (NLP) solution that uses machine learning to find and extract insights and relationships from documents. •​Amazon Forecast combines your historical data with other variables, such as weather, to forecast outcomes. •​Amazon Kendra is an intelligent search service powered by machine learning. •​Amazon Lex is a solution for building conversational interfaces that can understand user intent and enable humanlike interactions. •​Amazon Lookout for Metrics detects and diagnoses anomalies in business and marketing data, such as unexpected drops in sales or unusual spikes in customer churn rates. •​Amazon Personalize powers personalized recommendations using the same machine-learning technology as Amazon.com. •​Amazon Polly converts text into natural-sounding speech, enabling you to create applications that talk. •​Amazon Rekognition makes it possible to identify objects, people, text, scenes, and activities in images and videos. •​Amazon Textract automatically reads and processes scanned documents to extract text, handwriting, tables, and data. •​Amazon Transcribe converts speech to text. •​Amazon Translate uses deep-learning models to deliver accurate, natural-sounding translation.

Metrics, simply put, are what you measure. In a work setting, you might measure sales, profits, and customer service. In a church setting, you might measure attendance, new salvations, and tithing.

The customer is also at the center of how we analyze and manage performance metrics. Our emphasis is on what we call controllable input metrics, rather than output metrics. Controllable input metrics (e.g., reducing internal costs so you can affordably lower product prices, adding new items for sale on the website, or reducing standard delivery time) measure the set of activities that, if done well, will yield the desired results, or output metrics (such as monthly revenue and stock price).

Our third-quarter financial results released on October 21, 2004, showed that sales had grown by 29 percent year over year. Free cash flow had increased by 76 percent. Many corporations would look at such growth figures with envy, but a closer look at our financials at the time revealed a more concerning picture. Throughout 2004, Amazon sales had continued to grow, but the rate of growth decreased from the prior year, across all lines of business. The output metric of sales revenue was not growing as fast as we wanted.

Ignore “Google” As one of the best known companies in the world and because it’s often cited as a pioneer in adopting OKRs, Google is always held as a benchmark in content and methodology for OKRs. Our suggestion is that you ignore any reference to Google in implementing your OKRs. First of all, things that work for Google might not necessarily work for your company. Second, our empirical research with more than 20 Google employees has shown that there’s no homogeneous format for OKRs within the company, or between departments (e.g., how sales or product treats the subject) or across geographies (e.g., how Brazil, the US, and Europe address the issue). We’ve even found that four of those people that dind’t even know what OKRs were, and many who used OKRs as a high-level task list, which it’s NOT. Some official Google resources on OKRs, such as their human resources website, re:Work, explain the methodology simplistically and give out terrible OKR examples (one suggested Objective is “Eat 5 Pies”). Finally, don’t learn about management from companies that don’t really need to be well-managed. Google is a money minting machine because of its Adwords advertising business, and it really doesn’t matter if it has a strategy or not, or how well it executes it: Cash will keep pouring in. For execution lessons, look at tougher businesses, like retail and manufacturing. That’s where management really can make or break a company.

social shares are a useful metric that tell you whether your content is popular. But popular content doesn’t necessarily lead to sales.

One metric that can help you figure out what’s going on is the company’s assessment of how much of the backlog will convert to sales in a given period of time.

Enviva used impact quantification in its introduction and later under its climate change theme. It makes the point that it has avoided the release of 31 million metric tons of carbon dioxide equivalent emissions since its inception and equates them to four equivalent metrics. 3.5 billion gallons of gasoline not consumed. 34.5 billion pounds of coal not burned. 72.4 million barrels of oil not consumed. 5.3 million homes not using electricity for one year. This use of impacts is part of the straight line it draws from the 16 million metric tons of coal displaced to the avoided emissions and the equivalent measures. All of this illustrates its role in providing biomass to help customers reduce their carbon footprint.

Traffic and visitor counts are, frankly, B.S., flung about by fools and social media promoters and charlatans like monkeys at the zoo fling feces. It’s meaningless. Only traffic converted to prospects and customers, converted to sales and profits count. Be very wary of all the “new metrics” gobbledygook. There’s no line for it on a bank deposit slip.

With KwickMetrics, it’s easy to track and manage all of your Amazon seller data – on your computer, on your phone, your tablet, and more. KwickMetrics was founded by a young team of entrepreneurs, engineers, and visionaries who saw a gap in the Amazon after-sales market. What began as an idea flourished into a full-fledged app with a group of individuals keen on revolutionizing how data is consumed by sellers. We learned that every single byte of data can be used to optimize every link in the product chain. Amazon provides sellers with data, we transform this data and give it meaning.

Rather than trying to revolutionize everything on the site at once, pick one key metric you’d like to improve, such as average time on the site, or the number of sales inquiries.

6. Depending On Activity Metrics Rather Than A Proven Process “Dials per day” isn’t nearly as useful as tracking “call conversations per day” or “appointments per week”. What’s your step-by-step process and waterfall? Measure results that are proven to lead to revenue rather than throwing lots of activity at a goal.

If You Only Track Five Metrics…

A company’s revenue engine is a critical success factor. I had seen from my own direct experience how easy it was to get caught in silos: marketing people would just think of marketing, salespeople would just think of sales, and accounting wouldn’t think of itself as part of the revenue engine at all. Furthermore, product and the revenue engine were too often thought of completely independent of each other. The need for a more integrated approach was on my mind from the beginning. The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend. I call my revenue engine model “the bowtie schema.” It was the product of continuous iteration. As I interacted with marketing and sales practitioners and waded through the research, the model slowly emerged. The final model conveys not just the product and customer journey across the bowtie, but also the foundational layers that support that journey-- the interaction between people tools, workflow, and metrics that make it all happen. The most basic question a CEO must answer is whether the product has achieved a value breakthrough. Without that, the revenue engine is irrelevant. Once product-market fit is confirmed, the next step is to clearly identify your ideal customer profile (ICP) and your business model. This includes the lifetime value (LTV) profile of your company. Assuming a strong product, a clear ICP, and a solid understanding of the constraints composed by your unit economics, the path forward is clear. Then, the focus will turn to uplifting the maturity of your revenue engine and scaling it efficiently.

The revenue engine is a whole system. It encompasses a diverse set of integrated components, each doing its part to advance the system’s purpose. The engine is not just comprised of marketing and sales— it includes product, accounting, and the underlying technology and data infrastructure required to keep everything flowing. It involves people, tools, workflow, and metrics. Its purpose is to optimize reach, conversion, and expansion of customer spend.

I call my revenue engine model “the bowtie schema.” It was the product of continuous iteration. As I interacted with marketing and sales practitioners and waded through the research, the model slowly emerged. The final model conveys not just the product and customer journey across the bowtie, but also the foundational layers that support that journey-- the interaction between people tools, workflow, and metrics that make it all happen.

Charles Koch loved the idea, and so did Markel. Getting rid of budgets would instantly dispose of hours’ worth of drudgery that defined a financial controller’s life. Koch invented a new set of metrics to replace budgets. And the numbers that the company focused upon were telling. Charles Koch didn’t care much about sales or costs—he cared about profits. He wanted to know how profitable any line of business was and how profitable it could be under the right management. He steered all of his managers to think this way. The key thing they needed to focus on was the return on investment, or ROI—what was the best use of Koch Industries’ money? Soon each division was writing a profit goal for the quarter, rather than a budget.

Unveiling London E-commerce Triumph: Decoding Data with WooCommerce Analytics In the bustling realm of London e-commerce, navigating the digital landscape requires not just intuition but informed decision-making backed by data. This is where the marriage of WooCommerce and analytics becomes a game-changer. In this exploration, we delve into the nuances of leveraging WooCommerce Analytics for e-commerce success in London. As we embark on this journey, the expertise of a dedicated woocommerce development in london adds a unique perspective, unraveling the potential of data decoding in the heart of the e-commerce landscape. Understanding the London E-commerce Scene This section emphasizes the importance of understanding the unique characteristics of the London e-commerce landscape. It underscores the need for businesses to be attuned to local market trends, consumer preferences, and the digital sophistication of the London audience to effectively leverage WooCommerce Analytics. The Role of WooCommerce Agency in London E-commerce Analytics 1. Proactive Data Strategy: Setting the Foundation This point explains the proactive role of a WooCommerce agency in London in establishing a robust data strategy. It involves setting up analytics tools, defining KPIs, and aligning data collection with the specific goals of London e-commerce businesses. 2. Tailoring Analytics to London Market Trends Here, the focus is on tailoring analytics solutions to capture and interpret data that is directly relevant to the ever-evolving market trends of London. A WooCommerce agency in London customizes analytics approaches to provide actionable insights for businesses in the local market. Key Metrics and KPIs for London E-commerce Success 3. Conversion Rate Optimization (CRO): Turning Clicks into Transactions This point explores the pivotal role of Conversion Rate Optimization (CRO) in London e-commerce. It delves into how a WooCommerce agency in London optimizes the conversion rate by refining the checkout process, analyzing user journeys, and enhancing the overall user experience to maximize sales. 4. Customer Lifetime Value (CLV): Fostering Long-Term Relationships The focus here is on the importance of Customer Lifetime Value (CLV) analytics. It explains how a WooCommerce agency in London helps businesses identify high-value customers, tailor marketing strategies, and foster long-term relationships for sustained success. WooCommerce Analytics Tools and Implementations 5. Google Analytics Integration for Comprehensive Insights This point delves into the integration of Google Analytics with WooCommerce. It explains how a WooCommerce agency in London guides businesses through the integration process, utilizing Google Analytics to gain comprehensive insights into user behavior, traffic sources, and website performance. 6. Custom Reports and Dashboards: Tailoring Insights for London Businesses Here, the emphasis is on the creation of custom reports and dashboards by a WooCommerce agency in London. These tailored insights provide businesses with specific information relevant to their products, target audience, and market trends, enhancing decision-making accuracy. Analyzing User Behavior for Enhanced User Experience 7. Heatmaps and User Flow Analysis: Optimizing the Customer Journey This point explores the use of heatmaps and user flow analysis to optimize the customer journey in London e-commerce. A WooCommerce agency in London employs these tools to uncover patterns, identify bottlenecks, and make strategic adjustments for a seamless user experience. 8. Abandoned Cart Analysis: Recovering Lost Opportunities This section discusses the significance of abandoned cart analysis. It explains how a WooCommerce agency in London utilizes analytics to understand the reasons behind cart abandonment and implements targeted strategies to recover potentially lost sales through personalized retargeting campaigns.