Marketing ROI through automation

November 11, 2011

There are 3 system components to getting effective marketing ROI leveraging marketing automation:  Content, Process, and Data.  Think of ROI as a 3 legged stool – the automation (seat) is supported by 3 legs of Content, Process, and Data.  The stool falls over if any one element is missing.  Let’s dive in.

 

Content:  Must be relevant for the segment of audience we are going after, and built to keep the segment engaged over a period of time.  Lead nurturing, or the art of keeping in front of a prospective buyer with their permission is the key stage leveraged here.  The example I use in presentations is think about the JetBlue or other airline emails you receive at home – the content is relevant as the emails focus on your local airport and they keep in front of you on a regular basis even when you are not considering an airline purchase.

Process:  Can vary depending on organization size and structure and is most acutely needed when handing off sales ready leads to the sales organization from the marketing organization.  Processes need to be built for the ‘not now, maybe later’ buyer where sales has a clear disposition path of these inquiries.  Processes need to be considered a ‘system’, not a ‘handoff’ – the prospect to customer conversion experience must be seen as one whole, not as two parts with a handoff.

Data:  Quality makes the difference between good conversions and so-so conversions.  This area is often overlooked, particularly around field integrity and processes that eliminate duplication in entries.  In some clients, I’ve seen up to 60% bad data in their database.  Marketing campaign effectiveness is directly proportional to database quality.

When these three areas are tackled, marketing ROI can be measured and improved upon.  Focusing on just one of these elements risks not getting the right return – leads that are hung up in bad processes can not be fixed with good content or good data.  Think of ROI as a system and not as individual pieces and you’ll be on the right road of success.


Who owns the contact data?

November 3, 2011

“3 out of every 4 commercial businesses believe that they are losing as much as 73% of revenue due to poor data quality”…Experian – QAS. U.S. Business Losing Revenue Through Poorly Managed Customer Data


A common issue I see in enterprise companies is the ‘perceived’ ownership around ‘data’ amongst sales and marketing – specifically I see marketing underestimating the value of clean contact data and overestimating sales ownership of contact information.  CRM systems like Salesforce.com and others have been around for 10+ years and many larger enterprises have a Salesforce admininstrator, reporting into sales, responsible for the policies and procedures within their company’s CRM System.   So naturally, marketers tend to say ‘contact data is a sales problem.’  I disagree.  Data Integrity is a business issue.  Marketing needs to take a more active role in data ownership and data quality around the contact level – and the need is acute if all contact level data is housed in the CRM system as it is likely the marketing organization is not digging in their CRM system as often as they should be.

With more B2B companies leveraging the capabilities of marketing automation vendors to do batch and blast email among other tactics, suddenly, the contact information has become very relevant to marketers – clean contact data means more conversions which means more revenue. 

A variety of issues cause the data to be bad or incorrect.  With this in mind, marketing can take a business leadership  position by inspecting data samples or sets– to then present to the heads of marketing and sales on what the quality is. As an example, either sales or marketing should reports to analyze the following areas:

  • Complete a Country Code analysis – think global
  • Look at Duplicates (even Leads that duplicate Contacts or Accounts)
  • Verify and enrich address data (data appending)
  • Compare external data to CRM data for accuracy
  • Run Reports on fields, test to see how often fields are used
  • Analyze all or a subset of your records for verification

With this information in hand, a leader will have a more precise understanding of the effectiveness of your marketing campaigns.  Better data = better campaigns = better conversion which makes for the right business mix.

What have you found successful in your data analysis?


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