In 2000, the Advertising Research Foundation probably didn’t realize that their report about marketing’s ability, or lack thereof, to measure its value and contribution would initiate numerous studies, conferences, and products on the topic. This year’s joint VEM/ITSMA Marketing Performance Management Survey* , which looks at how marketers and C level executives would rate marketing’s value, revealed that 85 percent of the nearly 400 study participants are seeing increased pressure for marketers to measure marketing’s value and contribution.
A key component of the annual study looks at the comparison of the number of marketers earning an ‘A’ grade from the C-Suite for their ability to impact the business and measure their value with their counterparts who are falling short. The grades remained relatively consistent with prior years, with only a quarter of the marketers earning an ‘A’ for their ability to measure and report the contribution of marketing’s programs to the business.
By now one would think this journey would be nearing completion, but there appears to still be plenty to learn. Over the years, the study has revealed that ‘A’ marketers exhibit a number of differences from their colleagues–they are better at alignment, accountability, analytics, automation, assessment, and alliances. The investments in these capabilities and how they approach the work of marketing has enabled them to serve as value creators for their organizations. On the other hand, the marketers in the “middle of the pack” focus more on enabling sales, and the laggards operate primarily as campaign or program producers. In this day and age, with all the technology that marketers have at their fingertips, it begs the question “Why can’t ‘B’ and ‘C’ marketers get close to C-level executives and show their value?”
Become a Value Generator
Marketing organizations that create value are proactive. The ‘A’ marketers hold themselves accountable for contributing to business outcomes even if senior leadership doesn’t. They believe it is their responsibility to identify, investigate, evaluate, recommend, and prioritize market and customer opportunities. These marketers implement continuous change to maximize the organization’s success, and enable it to stay abreast or ahead of market, customer, and competitor moves. ‘B’ and ‘C’ marketers don’t seem to do that, don’t ask the right questions, or don’t know how to show their value.
Make Marketing Performance Management a Priority
According to the data, organizations that are performing well when it comes to customer value and business growth, are those where the marketers excel at performance management. ‘A’ marketers prioritize performance management, establish a clear roadmap for performance improvement, and focus on aligning marketing to the business not just sales. They have regular two-way dialogue with senior leadership and are motivated to select and report on the metrics that matter most.
Here are three qualities of this elite group that any marketing organization can emulate:
- Be a business person first, a marketer second
- Provide customer and market insight to inform business strategy, in addition to enabling sales
- Tap experts to hone skills and improve capabilities
Join the conversation with VisionEdge Marketing and ITSMA in our webinar, The Link Between Performance Management and Value Creation, Tuesday, June 17th, from 10:00-11:00am CST.
*VEM has been conducting the survey for 13 years. ITSMA has co-sponsored the survey for the past three years.
We know–models can be intimidating. But as the need to add analytics and science to our work continues to increase, models have become one of the primary vehicles every marketer needs to know how to develop and leverage. If you’ve already dived into the deep end on models, congratulations. On the other hand, if you’re just dipping your toe into the water, have no fear, because while there may be a bit of a current, it is time to venture forth.
Mathematical models help us describe and explain a “system,” such as a market segment or ecosystem. These models enable us to study the effects of different actions, so we can begin to make predictions about behavior, such as purchasing behavior. There are all kinds of mathematical models-statistical models, differential equations, and game theory.
Regardless of the type, all use data to transform an abstract structure into something we can more concretely manage, test, and manipulate. As the mounds of data pile up, it’s easy to lose sight of data application. Because data has become so prolific, you must first be clear about the scope of the model and the associated data sources before constructing any model.
So you’re ready to take the plunge–good for you! So, what models should be part of every marketer’s plan? Whether a novice or a master, we believe that every marketer must be able to build and employ at least four models:
- Customer Buying Model: Illustrates the purchasing decision journey for various customers (segments or persona based) to support pipeline engineering, content, touch point and channel decisions.
- Market Segmentation or Market Model: Provides the vehicle to evaluate the attractiveness of segments, market, or targets. More about this in today’s KeyPoint MPM section.
- Opportunity Scoring Model: Enables marketing and sales to agree on when opportunities are sales worthy and sales ready.
- Campaign Lift Model: Estimates the impact of a particular campaign on the buying behavior.
These four models are an excellent starting point for those of you who are just beginning to incorporate models into your marketing initiatives. For those who have already developed models within your marketing organization, we would love to know whether you have conquered these four, or even whether you agree these four should be at the top of the list. As always, we want to know what you think, so comment or tweet us with your response!
Many companies are developing opportunity scoring models which essentially assign a predetermined numerical score to specific behaviors or statuses within a database. The purpose of opportunity scoring is help sales people know which opportunities are sales ready and worthy, and therefore take priority. Often variables such as title, company, and industry, serve as the basis for the scoring model. However, behaviors can be used too, such as the completion of a contact form, visiting a particular page on the website, participating or viewing a demo, etc. Contextual data adds another dimension to the model by weaving in predisposition information that reflects content, timing and frequency-for example what products they currently use, the last time they purchased, their complete buying history, the types of keywords they used in their search, etc.
Keep in mind, timing is everything. To be effective, contextual data must be delivered to the right person, at the right time, within an actionable context. For example, the date of a key customer’s contract renewal is posted in your CRM system all year long, but that doesn’t mean you’ll remember or even see it. Think how much more useful that data becomes when your system automatically alerts you to the fact that it’s the customer’s renewal date. Sending email messages about renewals too early just creates noise at best and at worst suggests you don’t know their renewal date. Customers are more likely to respond to call to action when it is in context of their workflow. Communication that is contextual is more personal and as a result feels more authentic, shows value, and leads customers want to act. As a result, you can reduce the cost of customer acquisition and the cost of sales.
The end goal of contextual data is to connect with the buyer when they are most predisposed to buy. As a result, you can use contextual data to help build propensity to purchase models, for prioritizing opportunities to support opportunity scoring, to develop more personalized messages, and select the best mix of channels.
This same concept of contextual data can be used to build propensity to purchase models. By identifying the winning experiences associated with a particular segment, you can use this information to craft more relevant messages to similar targets to increase uptake.
Personalization is a compelling and challenging proposition. It’s a moving target and therefore requires a test and learn approach. By adding contextual data into the process you can make your personalization efforts more effective and more relevant.
In his book, The Effective Executive, Peter Drucker explained the difference between efficiency and effectiveness: “Efficiency is doing things right. Effectiveness is doing the right things.” He strongly advised focusing first on effectiveness before efficiency. Along with outcome-based and leading-indicators metrics, Marketers also need both efficiency and effectiveness metrics. Here’s an easy way to distinguish whether your metric is one or the other:
- If the metric is measuring how well you squeeze out waste or cost or measure maximum output for input, it’s most likely an efficiency metric. Marketing spend, ROI, and cost/per lead, lead/rep are examples of efficiency metrics.
- If the metric is measuring how well you are contributing to or producing a desired result, it is most likely an effectiveness metric. Share of preference, share of wallet, products/customers are examples of effectiveness metrics.
As we have learned from over a decade of research on marketing metrics, many marketers are doing a good job of establishing, monitoring, and managing efficiency metrics and not as good of a job with developing, measuring, and managing effectiveness metrics.
This propensity to focus on efficiency metrics ultimately creates a problem for marketing. You can be improving efficiency, which has nothing to do with whether or not what you are currently doing is the right thing to do, while not actually becoming less effective. Effectiveness is about achieving the right result, or being on the right path. When we are positively impacting and contributing to the right result, then we earn our right to participate in strategic conversations.
It may be easier to identify, track and manage efficiency metrics but that may not be the only reason we see more efficiency related metrics. Many people assume that they are on the right track so if and when there is a problem, they address it by trying to make the process more efficient without questioning whether they are going in the right direction. But if you are going in the wrong direction, becoming more efficient will actually make the problem worse. For example, let’s say your company wants to grow its revenue by some amount. As a marketer, you believe you can affect this by producing some additional business from existing customers. So, you are monitoring and improving the inquiries, deals, cost per new deal, etc. The company is growing but its market share is declining. Why, because the growth opportunity is really outside the existing customer segment. So while marketing is becoming more and more efficient at generating business from existing customers, the company’s market share is actually declining and the competitors are achieving greater market dominance.
What’s really important is effectiveness. In the end, it doesn’t matter if your business is spending the least amount possible or your demand-generation initiatives are streamlined. What matters is whether marketing is solving the right problems and moving the right business needles.
Before you start thinking about how to improve your efficiency, step back and think about how marketing is expected to move the needle and measure its effectiveness. Don’t misunderstand, efficiency is extremely important and you will need efficiency metrics. Improving efficiency can make a difference, but only if you’re on the right path. And the only way to know that is to have effectiveness metrics in place as well. Efficiency is important, but powerless without effectiveness. Effectiveness opens the door for efficiency.
As 2013 winds down and we prepare to enter 2014, there are bound to be a few changes in the CMO line up. You say, that’s not news, CMO tenure is always a bit tenuous. But actually, that is less true today than ever. In SpencerStuart’s 8th Annual CMO Tenure Study, it was reported that CMO tenure is now nearly 4 years, compared to just 2 years back in 2006. While CMO tenure varies across industries, there are several attributes long- tenured CMOs share. First and foremost, these CMOs can demonstrate positive impact on the company and have impact beyond the “marketing agenda.” They also tend think more like business-people who are able to provide strategic direction and use data and analytics to make fact-based decisions.
In addition to being an exceptional, technically proficient marketer, there are three attributes we see among successful long-term CMOs.
1. Customer-centric. These tenured CMOs connect regularly with customers. They do more than conduct voice of customer research, review customer data, or meet with a customer advisory board. They are actively and regularly engaged in customer conversations. Do you describe your customers for example as engineers with X years of experience in Y industries, Y accreditations, who attends B events, reads Y publications, and uses Z social media? If this example seems familiar you may be missing the mark. These long-tenured CMOs have a deeper understanding of their customers’ needs, wants, emotional state and motivations, what it takes to engage them, and the kind of experience that needs to be delivered. These CMOs serve as the window into the customer for their companies. They are relentless in their pursuit to know and understand the customer.
2. Outcome-oriented. It is clear to the leadership team that these CMOs have marketing well aligned to the business with metrics and performance targets focused on producing business outcomes rather than marketing outputs. These CMOs understand that outputs such as visitors, fans, followers, etc. create more contacts, connections and engagements that are important. They also understand that their job is to translate these outputs into something relevant and meaningful to the leadership team, such as how marketing’s contribution is reducing the sales cycle/accelerating customer acquisition, reducing the cost of acquisition or retention, and improving product adoption and win rates. These CMOs have an excellent handle on what touch points and channels are most effective and efficient depending on the needle that needs to be moved.
3. Alliance-savvy. There’s been a great deal of coverage on how important it is for the CMO to have solid relationships with their Sales, IT, and Finance colleagues, and our research shows that Best-in-Class CMOs do more than that. These CMOs have forged formal explicit partnerships with these counterparts. They invest in these alliances because they believe that the partnership will enable the organization to be more customer-centric and more competitive. As a result, these companies are able to enter new markets and bring new products and services to market faster. What is different about the alliances formed by these CMOs? They work with their colleagues to plan, form, design, and manage a formal working agreement that focuses on developing the right working relationship, taking into the account that each function most likely operates differently. They create and execute an agreement that emphasizes how the organization’s committed resources will achieve a common set of objectives, how to leverage the differences to the company’s advantage, and how these differences are designed to facilitate collaborative rather than competitive behaviors among all the members of each team. Performance metrics are established to support the alliance with a focus on both the outcome of the alliance as well as the process.
Whether it be the stream of green lights you hit on the way to work or the person that holds the door for you as you juggle groceries, at the end of the day, we are most appreciative of the people and things that make our lives easier. Although technological innovation and automation have given us the ability to soothe many of our woes, we cannot forget that the human element is at the center of all things marketing. In light of this, we must ask ourselves, “Would I be satisfied as a customer or colleague in this process, and if not, how could I change it?” By exemplifying these traits of a successful CMO, the outlook of your operations will shift from being self-serving to philanthropic in nature.
None of us would agree to play a card game with cards missing from the deck; we would know that the odds of winning would be significantly diminished. Yet surprisingly, many marketers are willing to implement marketing programs sans analytics.
In the past few weeks I have attended several marketing conferences. At each event, marketers are talking enthusiastically about how to make Web sites, SEO, social media, email campaigns, and mobile better. However, there is very little conversation about how to be smarter. Analytics is an essential card — actually an ace — in every marketer’s deck for enabling fact-based decisions and improving performance, and most importantly, for being smarter.
While the ace alone has value, when played with other cards its power is truly revealed. And when it comes to analytics, the other card is data. Yes — we have all heard the common complaint about the elusiveness of quality data. Unfortunately, data quality has been an issue in organizations for so long that it has now become the ready excuse for why marketers cannot perform analytics. To harness the power of your analytics card, identify your data issues and create a plan to address them.
Another reason that you may overlook this missing card in your deck is that guessing or gut instinct has been working well enough. Unfortunately, this approach may not suffice in the long-term and your “luck” may run out as organizations push to make “smart” decisions. As marketers, analytics is our opportunity to actively contribute to fact-based decisions. Through analytics, marketers achieve new insights about customers, markets, products, channels, and marketing strategy, programs and mix. It also enables marketing to help improve performance, competitiveness, and market and revenue growth.
As the importance of analytics gains momentum, marketers with analytical acumen will be in great demand. According to some resources, the complexities of data analysis and management are becoming so enormous that there is a shortage of people who are able to conduct analysis and present the results as actionable information. Taking the initiative and honing your analytical capabilities will enable you to make sure you have this ace in the deck — and preferably, in your hand.
Most of us are already working with a time and resource deficit. Try to find a way each quarter to bolster you analytical skills. Attend a conference, read a book, take a class, and bring in experts you can learn from. Here are some key analytical concepts and skills to add:
· Quantitative Decision Analysis
· Data Management
· Data Modeling
· Industry and Competitive Analysis
· Statistical Analysis
· Predictive Analytics and Models
· Marketing Measurement and Dashboard
If you can build your analytics strength, you’ll always have an ace in your pocket.
For businesses, a pipeline is a targeted list of potential buyers who might have an interest in your products or services. Many companies face the challenge of capturing the attention of potential buyers and moving as many of these potential buyers as possible through the pipeline stages of contact, connection, conversation, consideration, consumption, and community. More and more companies are relying on Marketing to continuously and effectively grow their organization’s opportunity pipeline. Potential buyers who are not converted into customers are often referred to as leaks or pipeline leakage. Our role, as marketers, is to “plug the leak” and improve conversion rates. If the Marketing and Sales aspects of the pipeline are not connected and aligned properly, the potential pipeline leakage can be very large. So a crucial step is ensuring Marketing is properly aligned with Sales. Marketing and Sales alignment allows for the creation and implementation of strategies, programs, and tactics that will facilitate pipeline opportunity development and movement. Once your company achieves this alignment, the next important step is for Marketing to focus on marketing initiative that will effectively and efficiently contribute to pipeline performance and the generation of customers. We must be able to clearly demonstrate and measure our contribution to the pipeline.
Unfortunately, a Forrester Research study, “Redefining B2B Marketing Measurement,” found that “the metrics that most B2B marketers say they use — like number of leads generated and cost per lead” — rank in the lower half of the effectiveness list.” In fact, number of leads generated and cost per lead may actually work against us if we don’t look further into the buying process. At first blush, one program may produce more “leads” than another at a lower cost and therefore appear more efficient. But what is really important is how many of the opportunities convert (don’t leak) to the next stage in the buying process. If there is a higher conversion rate from the more expensive program, than it is actually more effective. If we only look at a marketing program in terms of qualified leads generated and cost, we could potentially be eliminating programs that actually help build the pipeline.
Therefore, we need to move beyond the lead as the marketing metric and leverage metrics more meaningful to the organization — metrics that are more closely tied to customer deals. Customer deals– that is, sales — is for most organizations one of the most important business outcomes. Every company establishes a revenue goal. This revenue target is generated by some number of deals and dollars from existing customers and some number of deals and dollars from net new customers. This brings up the question of what metrics should CMOs and their teams use to measure Marketing’s contribution to the pipeline? Here are four metrics to consider:
1. Pipeline contribution which measures the number of opportunities generated by Marketing that convert into sales opportunities and ultimately into new deals. This metric helps ascertain to what extent marketing programs and investments are positively effecting the win rate and reducing the number of qualified leads that wither and die or are rejected by Sales.
2. Pipeline movement which measures the rate at which opportunities move through the pipeline and convert to wins. This metric helps assess the degree to which marketing programs and investments accelerate the sales cycle.
3. Pipeline value which measures the aggregate value of all active marketing opportunities at each stage within the pipeline. This helps determine what increase in potential business marketing investments may generate.
4. Pipeline velocity which measures the rate of change within your pipeline-both in speed and direction. This enables you to determine whether your sales are accelerating, decelerating, or remaining constant.
When examining each of these metrics it is important to compare the marketing generated opportunities compared to non-marketing generated opportunities. This means we need to understand what is the difference in the win rate, average order value, conversion rate, and velocity between marketing generated opportunities compared to non-marketing generated opportunities. Ideally, over time, by monitoring results and analyzing the data related to these metrics, Marketing can begin to create more predictable results in terms of contribution, conversion, and value.