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Latest Data Shows Direct Mail Is Still Alive, Well and Effective

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Some marketers theorize that “direct mail is dead” about as often as “Game of Thrones” fans theorize about the fate of favorite characters. So for all of AccuList’s current and future direct mail list and data services clients, here is current proof that direct mail is alive and well, and still a key direct marketing tool.

Marketing Mail Enters 2019 on a Growth Path

The U.S. Postal Service reports that revenue for the first quarter of fiscal 2019 (October-December 2018) was up 2.9% to a $19.7 billion total over the same prior-year quarter. A decline in First Class Mail dollars and volume was more than offset by Marketing Mail’s 4.9% increase in revenue, up by $218 billion, and 4.8% bump in volume, up by 1 billion pieces, combined with Shipping and Packaging revenue growth of 8.7%, up by $516 million, and a 5.4% volume bump, up by 93 million pieces.

Mail Response Outpaces Other Channels

We’ve reported it before, but it bears repeating because it explains why direct mail is still an important marketing tool in this digital age: The 2018 DMA/ANA Response Rate Report shows an average direct mail response rate of 9% for house lists and 5% for prospect lists, stellar rates compared with response rates of 1% or less for e-mail, social media, paid search and display ads. In fact, lower mailbox volumes actually have helped turbocharge mail response in an era of digital promotional bombardment, from e-mail, to online ads to mobile ads. Consider that, each day, an average of 107 e-mails per person are received globally and an average 63 ads per person are viewed, but only an average of two pieces of mail are received per person. It’s clear which channel gets the audience attention and why 75% of households read or scan their direct mail ad materials daily, per a USPS 2016 study. Not only was direct mail the top purchase influencer among Baby Boomers, even beating out family and friend recommendations, per a 2015 MarketingCharts study, but even younger, digitally addicted generations are fans of direct mail, too. According to USPS studies, 77% of Millennials pay attention to direct mail advertising, 90% think direct mail advertising is reliable, 57% have made purchases based on direct mail offers, and 87% of Millennials say they like receiving direct mail. Direct mail works or an even younger group of consumers as well: 69% of 18- to 24-year-olds prefer reading print and paper communications over reading from a digital screen, per paper-producer Sappi.

Mail Wins by Being Trusted, Engaging and Personal

How can direct mail work so well across generations of consumers? First of all, in an age where trust in advertising is at a minimum, 76% of consumers say they trust direct mail when they want to make a purchase decision, and trust it more than digital channels, per a 2016 Marketing Sherpa study. Direct mail is also more engaging, memorable and persuasive, per neuroscience studies. In fact, a 2015 Canada Post neuroscience study of direct mail found that direct mail’s motivation response, its persuasive power, is 20% higher than digital media’s motivation response. Finally, in an age when personalization is expected and demanded, direct mail can harness multi-channel databases to machine learning/AI, variable data printing and behavior-based triggers to produce timely, highly personalized messaging, images and offers, way beyond the old first-name addressing of the past. Need more convincing? Check out direct mail solutions provider Compu-Mail’s slide show of 35 direct mail statistics for 2019.

Digital Data Feed Publishers’ Subscription Growth

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AccuList helps business periodicals grow audience via direct marketing, and, as always, good customer and prospect data is at the root of marketing success. Consider a case study from The Economist, named one of the eight best business magazines of 2019 by The Balance reviewers. It isn’t only content that makes The Economist stand out. It’s a data-based audience-building strategy that has quadrupled subscription revenue over the last three years.

Customer Data and Predictive Analytics

Facing challenges in growing subscriber and advertising revenue, The Economist contracted with a customer data platform, Lytics, to shift from a print-focused to a digital subscription strategy based on customer data management, per a recent What’s New in Publishing (WNIP) post. For example, the publisher used data analytics to create content hubs, or individual pages that display digital content based on a reader’s interest for particular news topics. Tactics also included displaying offers based on the reader’s subscription status and predictive engagement score, meaning their likelihood to subscribe, derived from other readers with behaviors like theirs. And the online Economist gave readers featured content based not just on topic interest but also on behavioral scoring so readers got the type of content they wanted in the way they wanted to read it. Yet another example was a campaign for a free “Back to School Megatech” eBook, that produced a 9% click-through rate for targeted audiences.

Payoffs in Acquisition and Retention

In addition to a 4X bump in The Economist‘s subscriber revenue, the data-centric effort decreased cost per acquisition by 80%, tripled digital subscriptions, and increased time-on-site and engagement measures, per the WNIP case study post. The development of ongoing and adaptive customer profiles using machine learning went beyond simple demographics to allow for individually tailored and timed advertising and engagement strategies, such as predicting when a reader is more receptive to certain kinds of advertising or content. Retention strategies also were improved by predicting when subscribers were likely to stop visiting or subscribing.

Leveraging Data and Content for Growth

The Economist is not alone in embracing a digital subscription and data-management publishing model. The New York Times used similar strategies to boost digital subscriptions and revenues last year, even creating nytDEMO (DEMO stands for data, engineering, measurement, and optimization) as a collaboration among members of The Times data, product & design, technology, and advertising groups. The nytDEMO team offers brand marketers AI-based data tools such as “Project Feels” predicting emotional response to content and “Readerscope” identifying reader/interest audience segments. While other print and digital news operations were cutting back in 2018, The New York Times Co. used data-driven strategies to generate more than $709 million in digital revenue, with online subscription revenue up nearly 18% from 2017 and digital advertising up 8.6%. Out of its 4.3 million paid subscriptions for digital and print in 2018, more than 3.3 million people paid for its digital products, a 27% jump from 2017. Those results prompted executives to set a new target of more than 10 million subscriptions by 2025. And since NYT execs believe successful data marketing relies on quality content marketing, the revenue gains will be plowed back into content development via increased investment in newsroom and opinion operations.

 

U.S. Marketers in Europe Wrestle GDPR Data Compliance

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AccuList USA supplies data and direct marketing services to organizations with international as well as domestic reach. Starting this May, any U.S. marketer targeting actual or potential customers in the European Union (EU) countries must navigate a changed data landscape thanks to the new General Data Protection Regulation (GDPR). It doesn’t matter if the brand, marketer or data processor is based in the U.S.; strict compliance is mandatory. And shrugging off new data rules is a very costly mistake. Noncompliance can mean a fine equal to 4% of global annual revenue!

GDPR Seeks to Protect Personal Data

The intended purpose of the regulation is protection of non-anonymized personal data, and compliance is required of any company (or organization) that stores or processes that personal information about individuals (“data subjects”), who are defined as European citizens residing in an EU state. The protected personal data includes:

  • Name, address, and phone number
  • IP address and cookies
  • Racial identity
  • Religion and religious affiliation
  • Health and genetic data
  • Biometric data
  • Sexual orientation and gender preference
Individuals Have New Data Rights

GDPR’s regulated “data controllers,” who determine data processing, or “data processors,” who handle data on behalf of data controllers, must respect key rights with regard to personal information. For example, there is an individual’s right to access, to knowing what personal data has been collected and how that data has been processed. There is a right to accuracy, and restriction of data processing in the case of inaccuracy. There is a right to “freely given” and “explicit” consent for processing and storage of personal data. Plus, consent may not be regarded as “freely given” where performance of a contract is made conditional on consent, or is unnecessary to performance of a contract. The data subject also has the right to data portability, meaning the ability to request and receive personal data in a format easily transferred to another data controller. Finally, there is erasure or “a right to be forgotten,” which allows individuals to withdraw their consent for data use or storage and demand that personal data be erased and no longer processed. Not sure it applies to you, direct marketer? Consider this GDPR wording: “Where personal data are processed for the purposes of direct marketing, the data subject should have the right to object to such processing, including profiling to the extent that it is related to such direct marketing, whether with regard to initial or further processing, at any time and free of charge.”

How Are U.S. Brands Handling GDPR?

Obviously, GDPR has big impacts on business strategies in the European market. For one thing, if you are handling personal data on a large scale or processing particularly sensitive data (such as health, race and religion), GDPR may require you to designate a specialized Data Protection Officer (DPO) to report to senior management. In terms of strategic response to the regulation, 64% of executives at U.S. corporations reported that their top strategy for reducing GDPR exposure is centralization of data centers in Europe, according to a report released by PricewaterhouseCoopers (PwC). Just over half (54%) told PwC they plan to anonymize European personal data to reduce exposure. A significant minority are even cutting European market efforts, with 32% of respondents planning to reduce their presence in Europe, and 26% intending to completely exit the EU market.

For a definitive guide to GDPR and explanations of key terms, see this Direct Marketing News article.

 

Data & Content Are Keys to Profitable Audience Building

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After long experience supporting publishers and media owners in circulation/audience growth, AccuList USA can affirm that, in the age of big data and exploding digital content, targeted data quality and database management are more essential than ever to profitable audience development.

It’s All in the Data

A recent Marketo blog post backs up that assertion with their advice. Demographics and firmographics are a key starting point, but now media owners also can mine transactional data, behavioral data, and psychographics/interests across channels, the post notes. Smart use of first-, second- and third-party data allows for tailored content, offers and channel targeting. As the Marketo article explains, “For example, you may know that a reader is a part of a cohort that is female, between 18-35 years old, with a household income between $64-96K….But what could you do–in terms of engagement–if you learn through her content consumption patterns that she’s interested in football, responds to sponsored content from travel brands, and mostly responds to content that’s shared on Facebook?”

And Data Management

Yet more data from multiple sources–web, print, mail, e-mail, social media–also presents challenges, and Marketo cites Folio’s recent survey of publishing leaders, which found 71% citing data management as a top priority for creating and monetizing media products. The solution is a single hub for audience data and automated cross-channel processing in real-time, the post advises. With a complete data profile of the audience, the focus can turn to delivering the right message at the right time to the right target. And we would add that an effective database will require strategies and support for data hygiene, database appending, analytics, and segmentation as well as automated triggering of messages across channels. Automation doesn’t apply only to digital messaging, by the way; marketers can capitalize on direct mail’s top response and brand engagement with automated mail triggering based on digital activity.

Commitment to Content

In publication/media marketing even more than other brand marketing, content counts. Faced with ever-growing digital content noise, media owners must work even harder to deliver content that interests and engages the target audience. To that end, a helpful Content Marketing Institute article by Neil Patel recently listed four common mistakes. No. 1 is offering content of more interest to the brand/publisher (and its advertisers/partners) than to the audience. Only audience-centric content builds audience. No. 2 is to focus only on selling in marketing messages, especially if poorly targeted. The long-term value of authenticity and relationship building suffers when the sales pitch is obvious and not personalized. No. 3 is an SEO addiction to the point of stuffing keyword phrases and irrelevant links into content, which can turn off and confuse readers and even earn search engine penalties. And No. 4 is an obsession with content quantity over quality. Simply delivering more content more often than competitors, especially if it is unwanted, sloppy and self-serving, is likely to turn off audiences. For good content marketing examples, go to Patel’s content marketing article.

Study: Brands Fail to Recognize Customers Across Channels

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Just 9% of marketers say they can consistently recognize customers across media channels, according to the MediaPost report on a new white paper published by the Data & Marketing Association (DMA). The study, conducted by Winterberry Group, is based on interviews with marketers from about 120 organizations.

Marketing to Devices, Not People

Per the MediaPost story, the study did find that companies have improved how they provide the same brand experience across channels, with slightly more than 77% of participants claiming to coordinate the delivery of content across all the media channels extremely well, fairly well or to some extent. But since most companies are marketing to devices not people, the challenge has been recognizing the same customers as they cross devices, for example going from search to catalog, or from mobile to in-store. Companies do realize that there is a problem per the survey, with some 72% of those participating identifying audience recognition as a “moderate” or higher priority.

The Need for Data Management

And when asked what would help to advance their organization’s efforts to better recognize addressable audiences across marketing media, better aggregation and management of data, cited by nearly 48% of marketers, led the top five solutions. Better integration of existing marketing technology followed as a solution for 39.5%; better systems and processes to connect audience profiles was listed by 38.4%; more first party data was the choice of 33.7%; and higher quality first-party data was named by 26.7%. Given those statistics, it’s not surprising that AccuList USA has seen growing interest in its data services, including customer database development, hygiene and analytics.

For more statistics from the study and for a link to download a free white paper copy, go to the MediaPost article at http://www.mediapost.com/publications/article/289223/brands-cannot-recognize-their-omnichannel-customer.html