Brain Vibe

marketing muses to stay engaged

B2B CRM: The Right Contact Mix for Your Customer Relationship

You’ve spent years gathering contacts into your databases.  You’ve implemented a data quality practice that is now starting to give you a solid picture of your universe.  It is now time to classify your contacts.

Invariably, your database is more than just purchasing/decision maker contacts.  All departments have gathered people’s information depending on the purpose.  It offers a window into your business dealings.  It also offers a window on your ability to market and sell.  Just as you consider vehicles, content, and message to deliver to your database, you also think about who you are reaching and who can be converted.

SOA and MDM initiatives are great because they bring together a full picture of interactions with the customer as well as who is part of those interactions.  But, not all contacts are created equal.  Just as not all customers or companies are created equal.  It is the first thing that is considered when determining targeting strategies.  The size of a database is typically determined based on the silo it is intended to help.  Marketing wants decision makers, finance wants accounts payable, customer support wants end users, investor relations wants analysts and media.  By themselves, these data silos serve a purpose.  Together, they can show a picture of where your awareness, message and brand really are.

A good  test once consolidation of data bases is done, or even within your CRM system alone if it receives lists and feeds from other internal sources, is to classify contacts based on their primary interaction with your company.  Everyone in your database has had a reason to connect.  Bringing these reasons into a standardized category will help determine the value they bring to a marketing program, customer relationship, or evangelist role.  Monitoring the ratios of these groups within a cusotmer relationship and firmographic data can give insight into the ability to grow a relationship, if it is at risk, or there is no relationship and the company serves another purpose.

While as marketers we typically look at the entire size of our database to determine if we have enough contacts to convert to leads, if those leads are weighted towards a low number of companies, or they are not the right contacts, then our efforts can be wasted.  With the cost to acquire customers and contacts expensive, having a mechanism to determine when to purchase lists and how much to purchase will refine the amount of resources and budget needed.  In addition, messaging and engagement strategies can be modified to align to the type of relationship outcome you intend.

So, rather than thinking about personas when you need to target, think about them strategically and as an indicator of the strength of relationship with your customer.

Reblog this post [with Zemanta]

Filed under: business intelligence, crm, data quality, marketing operations, , , , , , , , , , ,

B2B Social Media – Has Marketing Effectiveness and Efficiency Improved?

How much effort do you need to put into social media before it pays off in B2B? The answer probably has to do with what you expect from social media in the first place. The problem I see for B2B social media marketing is that instead of 1) increasing marketing effectiveness by facilitating sales and deepening customer relationships 2) making marketing more efficient by streamlining process and resources, it may be doing just the opposite.

Marketing Effectiveness

In it’s ability to facilitate sales and deepen the customer relationship, time and again, marketers and sales are unable to translate awareness and conversation trends in social media to sales. In addition, I wonder if connection trends, comment ratios, and sharing ratios are really anything but another way to track existing customer relationships. I’ve narrowed down marketing effectiveness metrics to four (4) key themes. In each case, I’m looking for improvements due to social media.

  • Improve win/loss ratio – Sales may ultimately be responsible for this metric, but marketing is responsible for lead nurturing which contributes to it. The reality is that the awareness marketing that is happening in social media may not be doing anything but providing another outlet for the same content. Tactics such as white paper promotion and communication of offers may appear to increase leads, but views and registrations may ultimately be with the same people already existing within the customer database. In the end, is the social media marketing tactic really changing customer perception during the sales process to make them choose you’re solution more often? I’m not sure it does.
  • Shorten sales cycle – I pose that the sales cycle may actually be lengthening in social media marketing rather than shrinking. Social media appears to be focused more on awareness building than lead generation. This effort is at the beginning stages of the marketing funnel. In fact, because of the conversational nature of social media, it takes longer to convert a ‘getting to know you’ dialogue to a ‘let’s do business’ dialogue. So, instead of coordinating marketing efforts with sales engagement and the decision process, social media is acting more as a fishing net.
  • Increase sales – Due to an increased sales cycle, you may be losing time to help close a deal. Solely focusing on lead nurturing vs. lead conversion can have the affect of creating a state of purgatory for potential customers. Social media, in theory, should help expand your footprint within your customer base by improving customer relationships. However, all social media marketing is doing today is proving a facelift to existing customer forums, white-paper libraries, and transitioning web content to blog content.
  • Reduce churn – There is much buzz around Twitter’s ability to manage customer expectations and improve customer support. Thus, this translates to reducing customer defection. The issue here is that this isn’t happening in the marketing organization. This is a function of customer service. Where marketing fails is that customers are focused on their business, not yours. Conversations in social media marketing today are still more focused on ‘look at me Mr. Customer’. All the customer wants is for you to look at them. It is an effort for customers to utilize and participate in social networks and gather information in social media. There are still too many places the customer has to go to interact. We make it difficult to solidify relationships by managing multiple properties and outlets to connect.

Marketing Efficiency

There is a real hidden cost to utilizing social media for B2B marketing. It is the cost to do business. Due to the number of ways you can connect to customers, it requires a significant amount of effort to cover and manage all the properties. While you can write a single blog and push it out across multiple communities, the lack of diversity in conversations may hurt more than help. Each community probably has a different DNA. One message is not going to be relevant for all. Thus, you have to produce more content across more topics to be effective.

Another aspect of inefficiency is the art of the conversation. For social media to work, it requires a de-centralized communication web to interact with customers. Sales already has this in place as it is what they do every day. Marketing is smaller and has less resources. This puts pressure on the organization to have personalized attention to carry on a conversation. Marketing needs the ability to respond to comments, participate in groups in a conversational manner, and organize discussions and groups around a multitude of topics that customers are interested in. If you go to forums today, there are few that have real conversations happening. Mostly you see blogging and promotional content being posted. This is because it takes a huge amount of bandwidth to truly be interactive with your customers.

Lastly, there is inefficiency to how marketing manages relationships across multiple social media platforms. Again, the number of venues creates chaos in the ability to recognize a single customer. Efforts are duplicative and can create problems in a cohesive conversation and message. Marketing technology needs to be streamlined to better manage relationships.

What’s Next?

As social media marketing has been the buzz and huge shifts are being made to transition and leverage its potential, B2B marketing organizations need to be mindful of what their business charter is and how they meet their goals through effectiveness and efficiency. Social media is just part of the mix, and as with any marketing effort, you don’t want to put all your efforts into one tactic. If not properly monitored against key business benchmarks it can quickly de-focus your marketing efforts and lead to poor performance.

Reblog this post [with Zemanta]

Filed under: business intelligence, performance management, , , , , , , , , ,

Social Media: Back to Spreadsheets

It’s a dirty word right now – spreadsheets.  IT departments want to remove our dependence on spreadsheets and convert us over to a secure, controlled, shared, and robust analytic environment.  I would love that!  But, I have a problem, social media.

I’m managing more properties and content that is outside the realm of my corporate environment but I still have to report back and show how it is doing.  The only way I can do this is by using several analytic tools across multiple properties.  I grab the stats I need and punch that into a spreadsheet.  Then, I go to my web analytics reports, grab those stats, and consolidate them with my social media data on my spreadsheet. After that, I consolidate my lead metrics with my internet metrics for a 360° view of my marketing efforts.

It is all very time consuming and open to data entry error.

Business Intelligence is great to track internal process, but it is doing nothing to help track activities outside the corporate environment.  So, I’m stuck with spreadsheets.  Can you help?

Reblog this post [with Zemanta]

Filed under: business intelligence, performance management, , , , , , , , , ,

Business Intelligence: Decisions, Decisions

Business Intelligence is all about supporting business decision.”

How many times have you heard that?  It’s become the standard mantra.  It is so ubiquitous that I don’t think anyone questions anymore the validity of the statement.  It just is.  However, this is probably the hardest part to facilitate when building out you business intelligence practice.  Facilitating decisions is what makes BI stragetic.

Just what is the business decision? What does a business decision look like?

Elements of a Business Decision:

  • Purpose:  drive a business outcome – ex: revenue, shareholder value, profitability, market share
  • Position:  leads a company, division, department
  • Point in Time:  transition along a process or environment

A typical approach during the business analysis phase for BI is to at business decisions across a business process and where questions are asked to change behavior in that process.  Although, the difficulty with this level of granularity is that it is too deep.  These transition points are tactical.  Intelligence across this process and at these decision points is important, but you don’t get the strategic value of BI at this level.  You need to look at the outcome of the process and provide a platform that supports the decision of what to do next.  This is the unstated question.

Let’s take an example.  Sales management will always want a perspective on the pipeline and forecast.  This shows them how they are meeting their numbers quarter to quarter.  However, outside of conversion and volume, there are business decisions that sales managers need to make.  Should they adjust their territories to capture new opportunity or shore up existing business?  Are there changes needed in commissions to incent sales people along certain products and services to improve profitability or revenue?   BI can lead sales management with insights that will guide them to optimize their processes and management rather than just data.

Purpose:  market share, revenue, profit
Position:  sales
Point in Time:  aligned to quarterly pipeline and forecast

To align BI to the business decision it is important to include executives in the discussion.  Get beyond the reports they want to see and ask the question about how they manage their business.  Walk through scenarios of what they ask as changes in the market or the business arise and how information can help them make a decision.  The better able you are to see how they manage their business, the more valuable the BI practice will be to supporting the business.

Reblog this post [with Zemanta]

Filed under: business intelligence, performance management, , , , , , , , , , , ,

Why Business Intelligence is So Difficult

Reading the buzz on the Jim Davis’s presentation at SAS Global Executive Forum, what it made me realize is that if as an industry we can’t agree on what Business Intelligence is or Business Analytics, how are we supposed to make sense of it in implementation?

business intelligence confusionYou have analytics players, enterprise application vendors, business process consultants, and analysts all trying to sell the ‘hype’ of a better way to analyze your business and makes decisions.    SAS wants to sell their analytic solution that really pioneered data mining in businesses.  Oracle and IBM wants to push dashboard solutions that links to business processes and their enterprise applications.  Gartner that tries to tie together people, process, and technology but is really is focused on what technology to buy.  Then, you have consultants that are trying to help you implement the technology even as they document your processes.  The problem is that it’s all boiling down to the one with the best tool wins.

Enter in the ‘Business’ and now you have a problem.  All they want to know is how they can meet their business objectives.  IT is trying to sell the solution and make them understand the technology, and the business glazes over and can’t figure out what to focus on.  I’ve sat in these discussions where IT tells me, “You tell us what to do, we’ll do it.  Don’t worry about the solution.”  It is open ended.  This leads to IT unable to work towards tangible goals and results.  The business walks away frustrated, projects run from months into years, and original budgets are thrown out the window.  I liken these projects to Boston’s Big Dig.

Neil Raden provided a perfect way to get through the fluff and hype that surrounds analytics and business intelligence. See article From BI to Business Analytics, It’s All Fluff

“I don’t like the term business analytics; it doesn’t tell me anything. Frankly, I think business intelligence as a term is downright laughable, too. What does that mean? Is integrating data intelligence? Is generating reports intelligence? Maybe its informing, but isn’t intelligence something you HAVE not something you do? Does doing what we call BI lead to intelligence, or just some information? A long time ago we called this decision support, and that gets my vote.”

So here’s my take on what steps to take when and how to venture into BI and analytic solutions.

Steps:

  1. What decisions need to be made?
  2. At what point in our business and business processes are these decisions made?
  3. What information is needed at these points?
  4. How should our applications and data provide this information – triggers or visualization?

See the steps?  It starts with the business decion and ends in the technology.  So, when you begin to review vendors and solutions, make sure you have steps 1,2,3 in mind before you determine how to solve step 4.

Reblog this post [with Zemanta]

Filed under: business intelligence, Decision Cycle, performance management, , , , , , ,

Topics

Linking

Bookmark and Share

Blog Archive

Follow

Get every new post delivered to your Inbox.