Forecasting the need for standalone online NCOA services is a function of five intersecting variables: USPS regulations, ACS Options, Software Integration, Internalization, and competitive offerings. 

The largest impact on NCOA services in the last 10 years is the USPS’s change to the Move Update regulations.   Beginning in November of this year, the new regulations will add Standard Mail and double the frequency requirement to 95 days.

With this projected increase in demand comes more options and changing economics.    For some larger mailers, the regulation may make it cost effective to bring the processing in house.  These larger mailers are also more likely to have already purchased industry specific software that includes integrated flat rate NCOA services.   Finally, the changing options with ACS services may be optimal for some clients who don’t need to clean a list before it is mailed.

However, for the vast majority of smaller to medium size mailers, nothing is easier or less costly than using an on demand, online NCOA service.    No software to buy, no hardware to buy, no agreements to sign, and no payments in advance.    Combine these benefits with sub 10 minute turn times (coming in December) and the benefits of advanced bundled services, and nothing is simpler or less costly for the small to medium size mailer.    Make sure you ask for a competitive rate, and see why even some of the industry's largest mailers still prefer the benefits of working with an independent online list hygiene company.

Marketing has undergone a paradigm shift. New tools, new technologies, new approaches and new data have opened marketers’ eyes that there is indeed a cause and effect and predictability in customer’s actions. It is discernable in the marketing data, as Davenport notes: “Most business functions, even those, like marketing, that have historically depended on art rather than science—can be improved with sophisticated quantitative techniques.” ¹ In a paper, “CRM from ‘art to science’” Jackson² sets forth a new framework for treating marketing as a science:

Early research and methods concerning customer relationship work often focus on more intuitive approaches to customer management. Many of the initial theories, such as one to one marketing and value-based management, were less analytical in their approach. Likewise, too often companies that have implemented customer relationship management (CRM) systems have done so with an unstructured approach (art) as opposed to a structured and by-the-numbers approach (science).

Sophisticated new automated marketing systems designed by Conclusive aspire to reflect the highest form of marketing prowess—selecting and executing communications for customers as if your best sales representative was always there. 

That description (as if your best representative were there) might sound a bit "Back to the Future," but think about it—advertising and marketing departments have for years sought to present the best marketing communiciations possible to their customers, but have historically issued a relatively small number of messages and imagery in their communications in order to be realistically economic. For years we've recognized that type of communication strategy was suboptimal, if only because one or a small number of communications could never speak adequately, much less optimally, to all the members of a large customer base. To communicate most effectively with a customer base, one would have to be prepared with a nearly limitless set of communication options for each individual consumer. It would be as if [indeed] your best sales representative(s) was on the virtual showfloor greeting each customer, selecting their messages according to the very wide set of factors that might be influencing each of those customers' choices.

What might the "best" sales representatives be looking for? Well, they'd be observing each consumer as they enter the store, recognizing how they dress, what they drive, whether they had children at their side . . . they'd notice what seemed to interest each consumer and they'd align their own efforts to sell the store products that most closely matched the combination of the consumer's interest and situation (i.e. factors that might lead them away from their initial interest, such as what they wore, what they drove, and those children . . . ). Frankly this is how the best sales and marketing departments operated a century ago—they just had no scaleability to apply their "best practices" to more than a consumer or two at a time!

So advertising and marketing evolved to determine central messages that could appeal more economically to larger numbers of consumers. Hence mass marketing flourished. The trouble was, that evolution brought the messages further and further from each individual consumers' interest. Now with the emergence of deep databases and technology that position us to more elegantly overcome marketing's "scale" issues, its time to evolve back!—back toward "human" marketing that lets us conduct careful and thoughtful custom communications for  thousands upon thousands upon thousands of individual customers as if we were meeting each individually on our virtual showfloor.

What is Conclusive's plan for this marketing future? The key is structuring marketing solutions to simulate human practices—leveraging any and all knowledge known to the marketeer, building "rules" that can determine the most appropriate communications to issue each consumer based on their interactions with us, and enslaving technologies that can execute those predetermined communications automatically when customer interactions are detected. Conclusive have meaningful assets in all these areas and has begun building an as-yet-to-be-named next generation solution that captures the essence of the "best" salesperson in a scaleable marketing automation platform. 

On our website, we call the ingredients Data Management, Data Intelligence and Data Delivery. Together, it can also be called Event Driven Marketing, Knowledge-based Marketing or Interaction-based Marketing. Funny though, to me (despite all the new terms) all this sounds so old as to be new.