Data Love Story in the USA With a Few Spats, Too

You might call this time of year, Jan. 15 to March 15, marketing data’s “high season,” based on all of the goings-on. There’s a lot of data love out there — and, like all relationships that are precious, they demand a huge amount of attention, respect, and honor — and celebration.

I’ve been enjoying Alliant’s “Data and the Marketer: A Timeless Love Story” postings this month, leading up to Valentine’s Day.

You might call this time of year, Jan. 15 to March 15, marketing data’s “high season,” based on all of the goings-on:

The Alliant infographic download got me thinking of some other “key” dates that might also be recognized on the Data Love calendar, reflecting other aspects of the love story. Not all love affairs are perfect — are there any? Sometimes there’s a quarrel and spats happen, without any abandonment of a full-on love affair.

  • 1960 — The Direct Marketing Association (then, DMAA) develops its first self-regulatory ethics code for data and lists, in an early industry initiative to separate the good from bad players. It becomes the basis for practically every data protection (and consumer rights) framework since.
  • 1971 — The Mail Preference Service is launched (today DMAChoice) the first marketing industry opt-out control program for consumers — the essential framework for every consumer choice tool in marketing (in-house and industry-wide) since.
  • 1973 — The U.S. Department of Health, Education, and Welfare introduces and adopts eight Fair Information Principles. In 1980, the Organization of Economic Co-operation and Development adopts these principles for trans-border data flows. In 1995, The European Union, among other governments, enact variation and interpretation of these formally into law, eventually adopting the EU General Data Protection Regulation in 2018.
  • 1991 — Jennifer Barret is named Acxiom’s privacy leader — among the first enterprises to name what essentially would become a “chief privacy officer.” In 2000, Trevor Hughes launches the International Association of Privacy Professionals. A nascent cottage industry evolves into a huge professional education and development organization that today includes tens of thousands of members.
  • 1992 — A nonprofit and privacy advocacy organization, the Privacy Rights Clearinghouse, is formed, and soon thereafter begins tracking data security breaches, both public and private sector. Its breach list since 2005 is posted here. Data privacy and data security, as evidenced in Fair Information Practice Principles, go hand-in-hand.
  • 1994 — The first online display ad appears on the Internet, by AT&T. (And the first commercial email perhaps the same year.) So marked the humble beginnings of Internet marketing — “direct marketing on steroids.” I thought Jeff Bezos used this term in Amazon (formed 1994) early days during a DMA conference – but alas, I’m having a hard time sourcing that one. Perhaps this quote was related to Google (formed 1998) and the real-time relevance of search!
  • 1995-96 — Subscriber Ram Avrahami asserts a property right to his name in a lawsuit against S. News and World Report. Because he thwarted the spelling of his name on the magazine’s list – in a bid to discover who else the magazine rents its subscriber list to – the court ultimately rejects his challenge. The case, however, introduces a novel concept and set of questions:Is the value of any list or database tied to the presence of any one individual name on that list, a penny a name in this case?  Or, is its value because of the sweat of the brow of the list/database creator (a business, nonprofit group, or other entity) that built a common attribute to which a list may derive commercial value?The “walled gardens” of today’s Digital Giants largely were built on such data collection. These two questions recognize that a “data-for-value” exchange must be perceived as mutually beneficial, or else consumer trust is eroded. “Who owns the data?” (a 20th Century assertion) might be better substituted today as “Who has a shared interest in the value and protection of data?” (a 21st Century proposition).
  • 2006 — Facebook is formed, among the first companies that created a “social network.” (I’m sure the adult content sector preceded it, as it often points us the way.) In one industry after another, digital disruption reorders supply chains, consumer-brand relationships, shopping practices, and name-your-own-business here. The Great Recession, and venture capital, serves to speed the quest for data-defined efficiency and transformation.
  • 2017 — Equifax, one of the United States three leading credit and information bureaus on Americans, experiences a breach of epic proportions. While the nation was fascinated with subsequent public hearings about Facebook, its data deals, and its (ahem, beneficial) targeted advertising practices, a potentially much more egregious purveyor of harm – sponsored government hacking of the highest order – largely gets a ho-hum from the general public, at least until this past week.
  • 2020 — California fragments online privacy protection in the United States – only underscoring the need for the federal government to act sooner than later. Support Privacy for America.

So, yes, there’s a lot of Data Love out there — and, like all relationships that are precious, they demand a huge amount of attention, respect, and honor — and celebration. See you soon in Orlando!

 

 

The Power of Purchase List Targeting

It’s important to have a trusted purchase list source. You should be informed of where the company gets its data, how often the data is updated and its policies on bad data. Once you have a good source, you need to take on the challenge of choosing your list options.

targetaudSince your response rate is directly related to who you are sending mail to, purchasing a mailing list can be a real challenge. There are so many options to choose from that it can be overwhelming. But first, it’s important to have a trusted purchase list source. You should be informed of where it gets the data, how often the data is updated and its policies on bad data. A couple of big purchase list players are Experian and Acxiom — you can check them out, as well as many other reputable list brokers. Once you have a good source, you need to take on the challenge of choosing your list options.

Top industry list option examples include:

  • Nonprofit: Income, net worth, age, children, causes donated to in the past, organization membership, fundraising engagement, location
  • Retail: Number of children, income, age, gender, apparel purchase habits, brands, online shopping habits, location
  • Political: Children, homeownership, voting propensity, location, age, political party affiliation
  • Entertainment: Age, income, children, hobbies, purchase history, location, marital status
  • Healthcare: Age, income, number of children, location, gender, homeownership
  • Education: Age, income, gender, highest level of education, location, interests

You may pick from demographics as well as psychographics. There are so many options, make sure to give yourself time to look over what will target your best potential customers. You want to get the right offer to the right people — the more targeted your list, the better response you are going to get. Marketing personas are fictional representations of your ideal customers, so if you have mapped personas beforehand, it will be easier to make your selections.

You can pre-map customer personas by taking a look at your best customers: Who are they? The more details you have, the more accurate the persona will be. Look for trends in how your customers find you and what they buy. Make sure you are capturing important information about customers in your data so that you can use it to build your personas. You should also interview customers to obtain key answers directly from the source. Too many assumptions can cause you to create an inaccurate persona.

Once you know the personas you are looking for, choosing the right selections for your list becomes easier. Select the options that best represent your customers. The more characteristics you pick, the better targeted your list will be. But keep in mind that more selections often result in a higher-priced purchase list. So make sure you only use the options that really reach your target.

Your list is now ready! Your final ingredients for successful direct mail are your creativity and your offer. Don’t spend all your time on the list and forget these other two components — without all three working together, your direct mail will not generate the response you are looking for. Make your offer clear and concise. Make your creative design catching, but not overwhelming. Give people a reason to read your direct mail.