Analytics
Customer Conversations: Identifying Revenue Opportunities Using Customer Analytics
“We’re not going to make our revenue target for the fiscal year,” declared our customer, a Director of Customer Insights at a global technology company. She followed with, “I was barely holding on to key resources this year, and now my budget’s taking another hit!” I could tell she was feeling tired and discouraged.
After listening a bit more I asked, “What customer analytics could your leadership team use right now that would help close some of the revenue gap, and at the same time demonstrate your team’s value?” She said, “Last quarter the sales team asked us to conduct a lead aging analysis, which identified some opportunities with the greatest likelihood to convert in the next quarter. They found this very helpful and they are running with it.” I said, “That’s great!”
Keeping her team’s charter in mind, which is to rank and profile customers by critical dimensions, such as revenue, lifetime customer value, and profitability I returned to my initial question, “What are the burning questions about customers that the leadership team is asking?” Her response, “I don’t know.”
This is a common scenario. With scarce resources, it’s often difficult to get ahead of need – to be proactive in creating value from data. So, we began to brainstorm the kinds of things the leadership team might want to know to help improve the revenue situation. Since time is of the essence, some of the ideas we discussed revolved around purchase intent behaviors, channels, and touch points that would facilitate near-term revenue generating opportunities.
After we explored the possible questions, I mentioned a customer analytics study that had been conducted not long ago by Aberdeen. The study found that Best-in-Class organizations that leverage customer analytics have a:
- 35% year over year increase in average order value
- 43% year over year increase in annual revenue
- 42% year over year increase in customer profitability,
- 25% year over year increases in market share growth.
With that in mind, I asked her whether her organization uses metrics such as profit margin, customer value, customer lifetime value, and customer acquisition (quantity, cost and time dimension) to measure the value of her group. She said, “No, we just measure our output, time to delivery of requests, and budget.” I suggested she might want to take a look at these other more outcome-based metrics.
As we closed the conversation, she had some new ideas on how to proceed and how to measure the value of her team. Just as importantly, she acknowledged that perhaps she and her team may have become too reactive in their analytics and reporting, and that they needed to take the lead by using segmentation, predictive modeling, and data analysis to provide business leaders with direction. In today’s environment, many marketers feel they aren’t at liberty to take action.
Our motto, “better to ask for forgiveness than permission.”
Translate Data into Business Value with These Four Tips
In today’s hyper-competitive business environment, where an enormous amount of new data is being generated every day, more and more companies are trying to increase the usability of this data. As Tom Davenport and DJ Patil note in a Harvard Business Review article, “If the information most critical to your business resides in forms other than rows and columns of numbers, or if answering your biggest question would involve a “mashup” of several analytical efforts, you’ve got a big data opportunity,” hence the rise of the data scientist as one of the “Sexiest Jobs of the 21st Century.” These folks are tasked with turning data into actionable insights and these insights turn into knowledge the company can use to make decisions, measure and manage performance.
This ability to understand the relationship between data and knowledge is essential for marketers that want to be able to tap into the power of data. In 1990, Stephen Tuthill from 3M illustrated the distinction and relationship between data, information, knowledge and wisdom in his “The Data Hierarchy”. To briefly recap, the basic idea is that data, unprocessed facts and figures without any added interpretation or analysis (which is often strings of alpha-numeric or graphic images) carries no meaning.
It is important to remember that whether structured or unstructured, data is at the bottom on the pyramid. It carries no inherent meaning until we begin to synthesize and analyze it and use it toanswer specific questions. Once we begin to organize and sort data, it can then be used to answer a specific question. At this stage we are interpreting the data so that it has meaning and relevance. When we are able to assimilate this information so we can use it to take action or make a decision, we gain knowledge.
Peter Drucker wrote in The New Realities (also in 1990), that “knowledge is information that changes something or somebody — either by becoming grounds for actions, or by making an individual (or an institution) capable of different or more effective action.” When we process this knowledge and distill out the essential principles, data, information, and knowledge are transformed into wisdom.
So why do we care about an idea that is over 20 years old? This 20 year old concept can be very helpful as we all try to grapple with Big Data, that mountain of unstructured data being generated from social media, websites, video, store transactions, etc. There are a number of technological issues associated with the capture, storage, and management of “big data”. However, using The Data Hierachy reminds us that the real value of data is in the knowledge and wisdom we can derive from it. This means we need to have the analytical skills and capabilities to identify and relate the patterns found in the data, the information, to our business operations.
Here are four tips for translating data into business value:
1. Define the specific business question and identify and prioritize the information you need before you dive into the data. Data can be like a siren, dangerous, beautiful and luring. Consider the factors that will impact the quality and use of your data.
2. Itemize the information you will need to achieve the business objective and/or measure your performance.
3. Data and information must be relevant to a specific purpose. Determine what data (unprocessed facts) will be relevant, gather and record it. Data sources may be internal or external; public or limited access; hard or soft; qualitative or quantitative; formal or informal. Take particular care when you use data that has already been processed into information for a purpose different from your own.
4. Prepare to act. Information-driven insight are only as valuable if you act upon. Data of any kind offers organizations the opportunity to derive detailed, timely insights (information) and act on them with greater speed and agility (knowledge). Achieving this type of real-time responsiveness will require organizations to become far nimbler about how you manage business processes and workflows.
Achieving the vast potential from data calls for a thoughtful, holistic approach to data management, analysis and information intelligence. Organizations that take strategic approach to using data, whether they are leveraging the Data Hierarchy or some other paradigm, will be better prepared and positioned to generate business value from their data.
Customer Conversations: Taking the Budget Conversation from Effort to Impact
In a recent conversation with one of our customers, a VP of Marketing at a well-known company, we discussed the challenges associated with her leadership’s request to submit the fiscal year’s budget before her team had finished the planning process. “Without a plan”, she asked, “how can the right investment be determined and requested?” Before it was even complete, her budget was under fire, and there was the concern that no matter what number was supplied, the budget could be cut back. Understandably, frustration ensued.
This very situation is an example of why it is so important to build a measurable marketing plan that is directly aligned with business outcomes. Once the outcomes are identified and it is understood which ones Marketing is expected to impact and how, the conversation shifts from talking about activities to talking about business value.
Here is the advice we offered, and perhaps you have some additional thoughts:
- Comply with the request. If you can, avoid allocating dollars by activities. Rather, try to allocate the dollars by marketing objective.
- Finish the plan, including the required investment. The plan must illustrate the connection between marketing activities and programs, and the marketing objectives and business outcomes.
- Use the plan as a scenario analysis tool.
- Take the allocated budget and apply it across all the programs, activities, and tasks, indicating where there are variances. This will provide insight into whether you have any funds that can be moved to cover shortages. If you can, and all the efforts are adequately funded, then you are set. If not, you will need to determine if the objective can be accomplished by eliminating certain programs, tasks and activities. This is where the fun part begins.
If you’ve created the plan so that the line-of-sight is clear, the implications to the outcomes will become evident as you allocate funds across the different scenarios. It will also become clear whether slight or major adjustments to activities, programs, or performance targets are required. If major adjustments are needed, or should it appear that the funds are too lean–there just isn’t enough wood behind the arrow to warrant even doing the tasks–you will need to engage in a prioritization conversation.
Which outcomes are more important?
Which objectives are more important?
It may even be necessary to change a strategy or eliminate a business initiative. Or, it may just turn out that the leadership team believes that everything must be addressed and give you the money. Then of course, the onus will be on marketing to deliver, but you will have the means to be successful.
Analytics: The Essential Ace in Every Hand
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.