The Mastery of Marketing Performance Management


Managing marketing performance is anything but simple. It requires establishing a unified approach to assess the outcomes of initiatives and projects and compare results with investments in marketing people and campaigns. In general, while performance management has been conducted effectively at the corporate levels, it has been a challenge for most lines of business, marketing departments included.

Almost 15 years ago, our firm introduced PerformanceCycle, a framework that enables businesses not only to measure performance but to manage it across the organization and within departments. This approach continues to help organizations think through what it means to manage performance and how to do it. PerformanceCycle is a three-step process of understanding, optimizing and aligning performance to specific goals and objectives. We find that many organizations do well at understanding performance, usually through use of analytics represented in dashboards and reports, but struggle with the two steps that follow. It is possible to utilize planning processes to optimize performance to specific goals and objectives, but doing it effectively requires capable software rather than desktop spreadsheets and presentations that are not integrated into the enterprise.

For marketing organizations, the focus has been on managing budgets and people through projects and in many cases campaigns to achieve specific goals that are aligned to basic expectations of particular groups, such as demand generation based on the number of leads or in social media based on the number of impressions. These steps are necessary but not sufficient. Managing marketing resources is only part of what is needed for effective performance management. As well as tracking people and tasks, managers should monitor activities, their results and the progress they represent toward goals, not the least of which is revenue augmentation. Viewed this way, marketing performance management is both a commitment and a process that goes well beyond reaching goals that are not intrinsically linked to the outcomes expected of marketing by management. It also supports an initiative for continuous process improvement by using software that facilitates managing goals, plans and metrics.

In beginning a marketing performance management initiative that should inevitably be a continuous process, we recommend setting goals that clearly identify in functional terms what marketing must achieve, establishing context by comparing the goals to the existing situation. As part of this planning process, take time to understand the roles and activities that will be involved, establish for each of them ways to measure their efforts, and provide flexible software that is accessible to everyone in marketing. Educate yourself about executives’ view of marketing performance, which typically is framed in terms of its cost and thus its cost effectiveness as applied to achieving targeted outcomes.

Be sure to examine whether to include aspects such as the relation of marketing performance to corporate objectives, sales efforts and new product introductions. Also be aware of the impacts of marketing activities and outcomes on other departments. Ensure that the process being developed to manage marketing performance is visible to all stakeholders in marketing and in upper management. With their buy-in, develop a centralized common budget and plan for the entire marketing organization. Before launching the program, develop or acquire a methodology to manage spend vs. results and adjust iteratively.

Also plan to standardize and integrate activities and results data supplied by marketing systems and team members. Identify relevant data from sales systems to integrate with marketing data; for example, use data on closed deals to track results of lead-generation efforts. Understand that you will need to have analytics software to analyze and interpret data for decision-makers. Our benchmark research finds that up to 10 information sources can be important for building marketing analytics. These begin with data from internal marketing operations such as budgets, goals and objectives and external online marketing activities, but they also include enterprise sources such as finance, sales, HR, ERP and billing and perhaps data from partners who might be involved in marketing activities.

The next step is to select software designed to manage marketing performance. It should be able to automate and centralize management of initiatives, goals, projects, budgets, resources, plans and analytics. Be sure that it provides analytics that will yield performance management metrics and enable you to derive key performance indicators. Both historical and current plan metrics are critical for comparing actuals to budget. Key process and people-related indicators are essential to determine if marketing activities are on track to achieve performance goals.

The software also should have a common dashboard for marketing operations and management. Use it to devise a consistent approach for presenting metrics that represent spend used and value generated. Analytics also can generate metrics and indicators to help determine the value of investments and the contribution of marketing to enterprise revenue. Such a data-driven approach can improve decisions by providing facts and removing biases from the process. Note, however, that analytics must be useful to nonspecialists. In our marketing analytics research more than two-thirds (68%) of Untitledorganizations said it is very important to simplify marketing analytics and metrics. But for more advanced marketing departments applying predictive analytics has helped provide insight to potential future outcomes.

As I’ve said, measuring performance alone will not enable you to manage marketing performance. Having defined goals that cascade across marketing and metrics linked to them is critical to determine whether the organization is on path to reach the goals and whether resources and budgets are allocated effectively. Visualization capabilities in the software enable planners to see the allocation over future time periods and to compare actuals vs. budget in the marketing plan. This can’t be done using spreadsheets and presentations, which are not centralized or readily available and are not designed to manage marketing performance.

A managed approach to marketing performance management can save time and resources, both of which may be in short supply, according to our research. Lack of resources is both the most common process barrier (for 44%) and the most common technology barrier (for 55%) to making changes in marketing analytics. This approach also can provide the ongoing visibility into marketing performance that the organization needs. Almost one-fourth (23%) of organizations want to compare actuals vs. budget during meetings, and nearly as many (18%) want to do so within an hour or two after meetings, according to our research on next-generation business planningHowever, organizations that rely on spreadsheets often find themselves stuck in a perpetual cycle of chasing data and performing mashups to develop the metrics required to manage marketing performance.

The ability to quantify results using ROI and vr_marketing_analytics_03_assessing_impacts_of_marketing_spendbenefits metrics enables marketing leaders to demonstrate the department’s value to the business. It is very important to more than half (54%) of organizations to assess impacts of marketing spend on their goals and objectives, and important to an additional two in five (39%). Almost two-thirds (64%) of research participants said that marketing’s contribution to the sales pipeline is a very important way to determine that impact.

Our research delineates the challenges for marketing departments in justifying their expenditures and demonstrating the business value of their activities. Adopting software that analyzes and tracks the relations between spending and revenue can help them make processes more transparent and prove their worth to executives. It also can help marketing teams focus on revenue generation as the goal of all their projects. Thus, in assessing applications with which to manage marketing performance, don’t settle for those that only help you execute demand and lead generation or track social media; search for dedicated software that can help you understand, optimize and align expenditures and activities to desired outcomes.

In all, marketing performance management enables organizations to make better-informed decisions on plans for future initiatives and campaigns. It can enable marketing to increase productivity, improve performance and take a more central role in the enterprise. It establishes a foundation to understand and plan for a positive impact from marketing and quantify the value it delivers to an organization. Excellence in marketing requires managing to expected outcomes. Proper use of data and analytics can enable you to reach the goals outlined in plans and provide visibility into the use of budgets and resources. Analytics can provide metrics and key indicators that help you manage performance daily, weekly and monthly. If you take these steps, your marketing department will be more agile and adaptive in achieving the outcomes expected from its efforts.

Regards,

Mark Smith

CEO and Chief Research Officer

Follow Me on Twitter www.twitter.com/marksmithvr and Connect with me on LinkedIn  https://www.linkedin.com/in/markallensmith

Digital Technology Agenda for Business in 2016


Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.

Let’s review the digital disruptions that are impacting businesses of every size in any industry.

Analytics is at the top of the list. It has become indispensable not just for measuring performance and efficiency but also for guiding effective actions that make critical differences in an organization. Once just an ad hoc part of business intelligence efforts, analytics now can have a continuous role in Untitledstreamlining business processes. Historical analysis – measuring the past to inform the present – is no longer sufficient; looking forward with predictive analytics can help organizations anticipate future behavior and outcomes. Our benchmark research on predictive analytics shows that nearly half (49%) of organizations expect to gain significant impact from utilizing it, and another one-third (32%) said it can have transformational impact.

However, to develop continuous analytics organizations first must prepare for use the data to be analyzed. Typically this requires significant amounts of time from analysts, data and vr_DAC_20_justification_for_data_preparationoperations professionals – time that could be used more productively. Today they can regain that time by using data preparation tools designed for this purpose. In 2016 we will perform in-depth market research on data preparation to assess the variety of ways in which it is used and where it can offer the greatest benefit to analytics and operations. Our research in 2015 found that preparing data for analysis is the most common impediment in the analytics process for more than half (55%) of organizations, as it has been for the past five years. We also will conduct and publish new research on the role of analytics in the sales, finance and human resources functions. In these and other lines of business we assert that organizations must develop competencies in analytics and begin using them continuously to improve their performance and competitiveness. Look at your own organization to determine if you have made analytics a priority and is being used effectively.

Another precursor to continuous analytics is collecting and processing what is commonly called big data, the huge volumes and broad variety of data that organizations encounter. Advances in computing technology including in-memory processing and storage of big data are now cost-effective and can be readily accessed and used through cloud computing. Because not all data is the same, ranging from structured data to unstructured content, documents and text, how businesses vr_DAC_07_importance_of_external_data_sourcesmanage their information assets is just as important as the guidance they receive from analyzing them. To further investigate the impact of big data on business, we will perform new benchmark research to determine where investment can have the greatest impact in terms of value and time savings. Managing data effectively enables organizations to optimize their information, and there are other sources of data that can add to what they know. My colleague Robert Kugel has named this “cryptic data”; typically it is out of reach of business users, tucked away on the Internet and in external sources, but accessing it could enrich the value of existing information and analytics. Last year our data and analytics in the cloud benchmark research found that Internet information sources are important to 42 percent of organizations.

It is important to remember that big data is not just about data management but also about how it is interconnected and used for business purposes. Industry jargon that isolates it in “data lakes” and other ridiculous terms do a disservice to its full potential for analytics and any range of applications, extending even to advances in the Internet of Things (IoT), which connects whole networks and myriad devices to each other.   Beyond this data science has intersected with expert systems to produce cognitive computing systems that can learn from past and present decisions and interactions to answer questions in natural language and guide decisions to optimal results.

In the excitement over big data and analytics it’s easy to forget that they are useful only when people work with them, and businesses rely on their people to interact and collaborate to reach agreement or better understand opportunities and situations to be resolved. Through a new generation of digital technologies, workers and managers alike can engage in discussions interactively online, through videoconferences that can share applications and presentations and with mobile technologies that make it simpler to collaborate at any time from any place. Our next-generation learning management benchmark research found that social collaboration is critical for more than half of organizations to share learning socially through activity streams. Technology enables even digital “town hall” meetings in which workers anywhere on the planet join in interactive scdiscussions. But collaborative technologies must be used in context of business processes that rely on business applications in which information must be shared, assessed and acted upon to achieve specific goals. Thus the idea of embedding collaboration in business application is taking hold among large application providers, although some just make it available separately. Our research in the past several years has identified collaboration as one of the most widely recognized digital technologies to advance business processes; for example, more than one-third (38%) of participants in our data and analytics in the cloud research are using it, although fewer than that (30%) are satisfied with how they collaborate, which is not surprising when many are still using email as the primary mode of collaboration. The good news is that new methods are gaining traction: Almost half (47%) are planning to use or are evaluating discussion forums, and nearly as many (48%) are interested in wall posting. New research we’ll produce in 2016 will identify the further adoption of collaboration and best practices in contact centers, sales, human resources and finance groups. Furthermore, to better engage workers in the organization, a new generation of digital feedback techniques used in consumer applications for easy-to-rate feedback is migrating into business. In general collaboration using digital techniques is still one of the most underutilized methods in organizations, but it can have large returns on investment since it engages and should motivate workforces to interact with others and management.

Another major new digital technology that has reshaped the way organizations use information is cloud computing, which enables applications or services to operate beyond an enterprise’s own premises. It can help organizations simplify access to and use of software by removing barriers of resources and vr_DAC_04_widespread_use_of_cloud_based_analyticsskills, allowing any size of organization to exceed its previous computing capabilities. Simplifying the ability to onboard a range of software whether business applications or other tools and to manage them easily in any area of business in conjunction with IT policies provides a radically faster time to value. We have also seen this in the use of analytics, as almost half of organizations in our data and analytics in the cloud research already use cloud-based analytics in some manner and another one-fifth (19%) will use it in the next year. Now organizations are shifting to integrating business applications in the cloud and in the enterprise, a process that requires integration software designed to help streamline interoperability. Underlying this transition of business computing is a movement toward the platform as a service (PaaS) and messaging that interconnects business and consumers in a range of cloud environments – public, private and hybrid. The enterprise architecture of the future is centered in the cloud; much of the software industry has shifted to this approach, and business organizations will be required to adapt or be left using and managing their own software. It is only a matter of time until they will not have a choice as new applications are rapidly becoming available only in the cloud.

Until recently many businesses have worried about the security of systems they don’t deploy and control themselves. Our data and analytics in the cloud benchmark research vr_DAC_13_impediments_to_deploying_cloud_based_analyticsshows that lack of confidence in security is still the most frequent impediment to deployment cloud-based analytics, in more than half (56%) of organizations. Arising from these worries is new digital technology designed to ensure cybersecurity and protect intellectual assets (systems, internal data and customer information) from being hacked and compromised. More than a few large-scale incidents have shown that such attacks can significantly impact not only financial profitability but an organization’s credibility. Alert organizations now realize that just protecting the network that connects their computers and systems is insufficient to ensure that the full range of threats is mitigated. For example, most organizations have not effectively inventoried and assessed their IT assets to identify outdated software that might have known cyber exposures that can create wormholes that work from inside the organization to the outside. Building on IT asset management is the ability to identify legacy systems that increase threats and put data at risk in databases or from systems and tools that access them from more than one location. Such vigilance requires a sophisticated set of technology that not only detects and responds to threats but can recommend and even act on cyber exposures before situations reach crisis levels. The data within databases and analytics also needs to be secured. This challenge will require a new generation of cyberintelligence that is managed directly by the CIO’s office and understood by business management.

As if all this was not complicated enough, now we have the Internet of Things (IoT) emerging. Devices, machines and networks that are interconnected to the Internet through sensors and messaging are no longer just for monitoring but also for interactive dialogues that notify and take action on threats or malfunctions. As we evolve to this technologically sophisticated world, even things we wear, from watches to certain types of clothing, also can provide information on business and personal activities that range from responding to requests to the wellness of individuals. The underlying connectivity comes from the use of Bluetooth and RFID for cellular or WiFi connections directly onto the Internet. As we find ways to miniaturize and embed sensors and related technology that can provide data, we also find that the processing is operating at the edge of the network and within machines, even automobiles. These Internet-level bots do not just operate at the edge of the network but can also transport themselves to where processing needs to happen. IoT will require applications that can monitor systems and also be used to manage monetization as in subscription to services and interact across any range of services. Such a change will require advanced skills in IoT analytics and capabilities for real-time processing; we call this the next generation of operational intelligence and are conducting new market research to determine the rate of innovation and emerging best practices in adoption of the technologies.

As we all can see, smartphones and tablets are vr_DAC_17_mobile_access_to_cloud_based_analyticseverywhere, connecting people and the Internet. The potential for businesses is enormous, and it will be a necessity for them to equip and support their workers and managers with applications that can easily operate on these devices. Unfortunately so far many business software applications and tools provide only lip service to using their capabilities; few of these vendors have a “mobile first” approach to supporting workforce effectiveness. Working across devices from Apple or Android has plenty of nuances, and many applications require a lot of “pinching” to interact with them rather dynamically sizing in response to the device on which it operates. Additionally, a new generation of notebooks that operate through touch screens and tablets that use Microsoft Windows is emerging. Giving ineffective software to mobile-enabled workers can lead to employee dissatisfaction and become a factor in why they leave an organization. Ensuring that mobile apps provide a contemporary user experience and easy usability is more important than just the app’s capabilities; don’t listen to analyst firms that rate them on the number of customers or amount of revenue they have generated. Such recommendations have led many organizations to select the wrong software and weaken themselves for years to come. With new research in 2016 we will continue our decade-long analysis of the mobile revolution and its impact on business; we advise that embracing mobile-ready applications is essential to maximize the value of the workforce.

Mobile technology advances have paved the way for a new generation of wearable devices, most evidently the new kind of watch, which is now ready for businesses to use to consume and act on information and make decisions. Wearables can support business productivity by increasing the responsiveness of individuals in any role. A new generation of smart watches that are easier for technology providers to integrate with business applications is available and will begin to establish new workflow and interactivity capabilities. Our upcoming research into the new generation of human resources management systems (HRMSs) and into workforce management will assess the demand for these applications. This generation of wearables will come with location information that can be used to promote situational awareness and be optimized for a variety of uses. For many organizations and workers, using wearables provides immediate visibility on the wellness of individuals that not just helps the individual maintain personal health but helps organizations ensure that workers are able to conduct their job responsibilities in ways that minimize risk and ensure safety.

As you see, this will be a big year for technology and potentially just as big a one for business in learning to take advantage of these advances. We have put together a formalized set of research agendas covering all of these areas for more depth on our direction in 2016. Please rely on Ventana Research to help guide you in understanding the challenges and making the decisions that will serve your organization best.

Regards,

Mark Smith

CEO and Chief Research Officer