marketing and sales alignment
Weaving Contextual Data into Models
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.
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.
Tackling the “Too Hard To” Pile of Marketing Accountability
If you’re like us, you probably have one of those piles on your desk that keeps being moved from one corner to another. You know that pile you need to get to but avoid because it will take some real effort to tackle. For many marketing professionals, marketing accountability, analytics and ROI are in this pile. Not too long ago at a marketing conference where Laura was speaking, the organizers had set up round tables with specific topics for discussion over breakfast. Laura was sitting at the measuring marketing ROI (return on investment) table (of course, where else would I be sitting?) which was strategically located right next to the buffet line. While she was sitting there waiting for people to join her, she kept hearing people say, “Oh measuring marketing,that’s just too hard.” There were hundreds of marketers attending this conference, and about 2 dozen tables of 10 were set to accommodate the early risers. Yet only four other brave souls joined her.
We must stop avoiding this topic and tackle the pile. As Sylvia Reynolds the CMO of Wells Fargo says, “Marketing must be a driver of tangible business results…we must start with the goal in mind and a clear way to measure that goal.” ROI is important for accountability–besides being able to justify spending and enable us to run the marketing organization more effectively and efficiently, knowing what is and isn’t working helps marketing achieve greater influence and serve in a more strategic role. Various surveys suggest that over a third and as much as 42% of marketing budgets are not adequate enough to achieve the outcomes and impact expected.
Perhaps your organization like many others is in the thick of budget planning. A key part of budget planning is to establish and validate the money you plan to spend. The more aligned marketing is with the outcomes of the organization and the more the plan includes performance targets and metrics, the more likely you will be allocated the budget you need to achieve the expected results.
So what does it take to tackle this Marketing Accountability pile? Here are six affordable steps any marketing organization can take to start whittling away at the marketing accountability and measurement pile.
1. Focus. Nothing of importance miraculously gets done on its own. To effectively tackle the marketing measurement pile will take all of Covey’s seven habits: from taking a proactive approach and beginning with the end in mind, that is the outcomes you are expected to impact, to keeping the effort a priority when other things present themselves as urgencies to making marketing measurement a win/win for you, your team, and the rest of the organization. More than likely, you are going to need a cross-functional team to tackle this pile – people from finance, sales, IT, operations, etc. working collaboratively together to define the metrics and hunt down and organize the data.
2. Plan an attack. You know that age old question, “How do you eat an elephant?” The answer being, “One bite at a time.” This is true for the marketing accountability and ROI question. If this is a new effort for you, you need to break it into manageable pieces. Quantify your objectives, decide how you will measure them, collect the data that you need to meet the objectives, establish a baseline, gain commitment to the measurement plan, and finally, measure.
3. Get data: “Data is the new creative,” declares Stephan Chase of Marriott Rewards. Establishing metrics, determining effectiveness, understanding efficiencies, all take data. Without data you cannot monitor and measure results. And don’t assume that you have the data that you need to measure your objectives. For example, if you want to measure how many new customers you interest in a new product, you may find that you need first to determine what a “new” customer is. This may require different views of your existing customer records or new strategies for evaluating.
4. Analyze: Once you have the data, the challenge is to generate insights that facilitate fact based decision making. One of the most valuable applications of data and analytics is in leveraging your metrics. The metrics are what enable continuous improvement as you strive to achieve and set new performance standards. Just looking at numbers doesn’t tell you as much as evaluating trends or creating statistical models that help you identify an optimized approach to your marketing efforts. Consider looking at your measurements for what isn’t immediately obvious such as what might have happened if that campaign had gone to the three bottom deciles of customers?
5. Use a systematized process: You may need to set up systems and processes that enable you to capture and track results on an ongoing basis. Many organizations put a substantial amount of energy into initiating these programs and then let them fizzle as other priorities surface. It takes both process and discipline to sustain a measurement effort. Systems help you automate a process so that the process can become a manageable part of your day-to-day operations. Today every marketing organization is moving at a breathless pace. Implementing test and control environment can keep you from having a fatal, head on collision
6. Train. Many marketers are unaccustomed to living in a metrics-based environment. You may need to invest in measurement, analytics, as well as data training and skills development. Start by taking a skills inventory. Find out who in the organization has data management, analytics and measurement skills. Decide what skills they need to perform at your expected levels. Develop training that fills the skill gaps. Doing this in-house allows you to tailor to your needs, but consider courses from universities, associations and external consultants to fill out your requirements.
Moving marketing performance metrics from the “too hard to” pile to the “we can do it” pile can reap rewards for the entire organization.
For more information on Marketing Alignment and Accountability, download our Free White Paper: Charting a Course for Marketing Effectiveness: Alignment & Accountability