We have all read plenty of articles about “good data”,  how important it is and “good data” is like gasoline in your car…. so on and so forth.   But how many businesses can definitively stand behind the data they sell you?  At Oceanos, we believe we have cured bad data.  The past few years of research and investment into our List Optimizer™ software seem to be really paying off.

So, how do we make “good data”?

Oceanos, does not own any data. We have partnered with dozens of data providers and based on your requirements, we pick the best vendor and buy the data for you.  But this data is just the raw material, like crude oil.  We run this raw data through a detailed process of refinement identifying bad email addresses and correcting phone numbers.  In addition, we run a whole phone verification process on your file and also standardize the postal addresses.   At the end of this process we produce a certificate called the Oceanos “Data Audit Certificate”.   The certificate tells you what we started off with and what we have done to get it right.  It proves what we have done to get to “good data”.  You will be surprised how the data gets modified as we refine it and will learn many times that we have corrected 50 – 60% of the file.  These steps result in a clean list that enables you to target your message to the right audience.

View the Oceanos Data Audit Certificate:  http://www.oceanosinc.com/objects/pdfs/DataAuditCertificate.pdf

Give us a chance to do business with you and try out the Data Audit Certificate yourself.  Good data is not a theory anymore, good data is a daily practice at Oceanos.

If you are interested in learning how Oceanos can  guarantee “good data”, feel free to contact Raghu Prabhu, Vice President and Chief Technology Officer at rprabhu@oceanosinc.com

 

 

Excerpt taken from IDC CMO Advisory Survey
Customer Data Acquisition: The Keys to Effective List Management

List quality is defined primarily in terms of performance. Most marketers evaluate performance of their lists based on one or two metrics. These metrics are largely focused on marketing – MQL’s and email delivery (bounce, opt outs, etc.)

It is recommended that companies use a well-rounded set of metrics designed to standardize all their customer data acquisition and data enrichment activities.

These should include measures from marketing, sales/pipeline, even services and support data on up-selling and cost to support. Eventually metrics such as net promoter scores and account profitability measures might also be considered relevant. While these are longer term, they can be used to rate list providers and usage patterns over time.

Most marketers use marketing performance based metrics to rate list quality. The number of MQL’s is the primary measure and hard bounces are the second most popular. Very few marketers go beyond marketing, they do not look at the sales pipeline or other sales related activities such as the number of opportunities generated.

It is recommended that list quality metrics include sales pipeline performance. Not all marketing departments drive leads to direct sales and many have challenges related to channel distribution models that are limiting. However as data structures become standardized across systems, it should be easier to create the closed loop feedback needed to continually improve customer records and marketing activities.

 

Metrics are marketing focused and so is the team that manages list acquisition. This tends to perpetuate the inefficiencies that plague siloed approaches to the customer creation process. Marketing, sales, service, support, finance, etc. have all typically budgeted, sourced, specified and implemented systems and data according to their own functional requirements. As a result, there are customizations, unique data definitions and workflow dependencies that are incompatible, making it difficult for anyone to have a holistic view of the process.

It is recommended that list acquisition teams at the very least include advisors from sales and channel management to facilitate standard compliance. The day to day mechanics of sourcing, vendor management, negotiating, data cleansing, etc. can be left to small marketing group. But this must be done in the context of a larger policy that is designed to create a seamless customer creation process.

For full report visit: http://oceanosinc.com/idcreport

 

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