Personalization, Omnichannel Strategies Drive 2020 Direct Mail

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AccuList’s direct mail marketing and mailing list clients embrace a channel that, despite perennial death notices, continues to outperform in terms of response, but mailers must also rely on evolving strategies for success in 2020.

2020 Success Depends on Data-Driven Personalization

Research consistently shows that personalization bumps up response. Most recently, in a 2019 NAPCO Research report on direct mail personalization, 44% of respondents saw personalized print marketing campaigns increase response by 16% on average, while Canon Solutions research found that adding a person’s name and other personalized database information (along with using full color) can increase the response rate of direct mail campaigns by up to 500%! So it’s no wonder that the recent Printing Impressions article by senior editor Toni McQuilken cites a number of leading marketing and print industry leaders stressing that data-driven personalization is the route to 2020 direct mail success. For example, Maureen Powers, president, Direct Marketing Group at RR Donnelley, asserts, “Personalization is more important than ever before, including with direct mail…We are using the direct mail channel to drive the customer experience through communications such as coupons and personalized offers. We’re also changing how we help our clients message their clients based on individual customer preferences and their point in the customer journey.” Likewise, Jim Andersen, executive chairman of IWCO Direct, stresses the shift toward variable data printing of smaller runs of targeted, personalized direct mail with digital tie-ins: “Today’s direct mail is more effective, relevant, and timely thanks to more sophisticated audience selection and segmentation. This technology uses digital print to personalize every component of a mail piece, including letters, inserts, cards, and call-to-action reply devices that connect the physical mail to an online, digital marketing experience.” 

Customer-Demanded Omnichannel Campaigns Mate Mail With Digital

For Andersen, mail personalization must be part of the omnichannel approach that customers demand today: “One of the biggest opportunities in the direct mail space is providing effective and efficient solutions to consumer demand for personalized, relevant messaging integrated across all channels. Insightful use of data, combined with the flexibility of digital print production, allows marketers to seamlessly integrate tactile marketing in their omnichannel campaigns.” Summer Gould, of Target Marketing magazine, has cited three already-proven ways to combine mail and digital:  1) online display ads that match direct mail data files to an IP address to target specific people by displaying cookie-free banner ads on web pages; 2) Facebook ads that match direct mail data with Facebook data to send targeted ads (see our Facebook Match services); and 3) e-mail matched with direct mail audience targeting to keep offers fresh, deliver response reminders and make added special offers (see our Digital2Direct services). The mail-digital mating can be taken even further to a union of programmatic automation with mail. Printing Impressions cites the example of Brodnax 21C Printers in Dallas, where Jim Singer, managing partner, describes their innovative program: “We take raw XML data to drive intricate, complex direct mail campaigns, including ongoing on-demand digital printing campaigns for local store marketing applications. Every night at midnight we get a massive amount of data, and the automated workflow we built for this programmatic offering” kicks in to generate direct mail campaigns and send them to production.

Data Quality Has Never Been More Paramount

These trends to more personalization and omnichannel integration rely on marketing data for segmentation and targeting, of course. Plus marketers must adjust for growing regulation of data security and privacy. All make data quality a top direct marketing priority in 2020. Yet too many marketers feel overwhelmed by the torrent of omnichannel “big data.” A Forrester Consulting 2019 survey revealed that, while 82% of companies place a high priority on refining data quality, more than a quarter of all marketing campaigns were hurt by substandard data in the last 12 months. Clicktale 2019 surveys of marketing and customer-experience professionals found almost a third of marketers don’t feel they’re effective at utilizing their web and mobile data, over half (54%) said they “don’t believe they have a strong understanding of their customers’ behavior across digital channels,” and 20% reported feeling like “they will never truly understand why their customers buy.” Check out this 10-step data-quality strategy from VisionEdge Marketing if you are looking for a place to start.

 

 

 

 

 

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Avoid Segmentation Missteps to Boost List ROI

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List segmentation is key in targeted direct marketing, which is why the AccuList team offers clients help in defining best-performing customer segments via predictive analytics services and data management services. Over the years, we’ve learned that the secret to success is as much a matter of strategic mindset as technical expertise. A recent MarketingProfs article by Mitch Markel, a partner in Benenson Strategy Group, makes that point by identifying some of the common strategic errors that can trip up a segmentation effort.

Obvious Parameters and Old Strategies Dig a Rut

Marketers need to be aware that segmentation models can slip into an ROI rut. Use of obvious profiling parameters and assumptions is one reason. Certainly, demographics (or firmographics), stated needs, and past purchase behavior are essential in grouping for likely response and lifetime value, but people don’t make decisions solely based on these factors. Markel urges research that also looks at fears, values, motivations and other psychographics in order to segment customers or prospects not just as lookalikes but also as “thinkalikes,” which can be especially helpful in crafting personalized content and messaging. Markel cites the examples of car buyers grouped by whether they value safety over performance, and food purchasers sorted for whether they stress healthy lifestyle or convenience. Past success is another reason segmentation can get stuck in a rut. Because segmentation requires an upfront investment, marketers tend to want to stick with proven targeting once the segmentation study is completed. But today’s hyper-personalized, digital environment has accelerated the pace of change in markets, perhaps shifting customer expectations and preferences away from an existing segmentation model. Markel advises an annual “look under the hood” of the segmentation engine to see if segments are still valid or need appending/updating. An annual audit can avoid the expense of a broader overhaul down the road.

Big Data Blindness Ignores Potential Audiences

One outcome of segmentation based on existing customers is blindness to potential audiences. Segmentation research often uses the existing customer base and surveys of people that marketers assume should be targeted. This can create marketing campaigns that miss groups that Markel calls “ghost segments,” people who could be among a brand’s best prospective customers. Markel suggests a periodic look at non-customers for conversion potential as one way to capture these “ghosts.” And, of course, if a new product or service is in the works, research should ask whether it will attract new groups differing from the existing customer profile. Another reason ghost segments are common is that marketers, overwhelmed by the task of sifting “big data,” fall back on whatever data sets are handy. Markel suggests that it would be better to bring in big data at the tail end of segmentation. He advises analysts to start by creating segments using primary research, add existing customer “big data” to target those segments more efficiently, and then plug segments into a data management platform for insights on other products, services, interests, and media that may correlate.

Analytics Miss Without a Companywide Strategy

Finally, Markel stresses that a segmentation study that ends up residing only with a few marketing decision-makers will fail to live up to its ROI potential. Customer and prospect insights have relevance for multiple departments and teams, from sales to customer service to finance. In order to deliver a seamless, personalized customer experience, Markel suggests creating 360-degree customer personas and promoting them throughout the organization. Management can start with workshops to educate employees on the use and importance of those personas both for their departments and the organization, and then can schedule check-ins to show team members the resulting benefits of segmentation and targeting implementation. If segments are made relatable, it will ensure they are used and embraced across the organization.

Skeptical of Marketing Tech Buzzwords? You’re Not Alone

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To help support direct marketing clients, AccuList USA tries to keep up with the latest in marketing technology and tactics, and so we’ve been bombarded along with clients by advice on how to seize opportunities with personalization, “big data,” omnichannel, real-time marketing, and, most recently, artificial intelligence (AI). Marketers struggling to find room in real-world budgets often worry that they’re falling behind in an escalating martech arms race! New research by Resulticks—a survey of over 300 marketing pros across industry verticals—offers interesting perspective.

Big Expectations: Big Data and Personalization

“Big Data” was the hot topic at the 2013 DMA Annual Conference, with 50% of marketers enthusiastic about investing. But making practical sense of those data torrents turned out to be more difficult than expected. Resulticks finds that only 16% of today’s marketers have fully implemented big data solutions, 20% have given up on the concept, and just 27% rank big data as a top priority now. Part of the problem is overhyped, underperforming martech platforms, per the survey, with 21% of marketers complaining that vendors overpromise and underdeliver. In contrast, personalization—meaning targeting that goes beyond basic attributes such as name to deeper parameters such as purchase history and online behavior—has done better in fulfilling expectations, with 60% of today’s marketers reporting full or partial implementation. The only fly in the ointment: Tech investments have not always kept pace with enthusiasm, and only 20% rate their software ability to deliver personalization as “excellent.”

Technically Challenged: Omnichannel

Back in 2014, one study found almost half of retailers saying they were going to commit to an “omnichannel” approach. Unlike multichannel marketing, where marketers touch customers at multiple points on their journey, the ambitious goal of omnichannel marketing is to create a seamless customer experience across all channels. Resulticks finds that only 9% of today’s marketers describe their approach as omnichannel, compared with 63% who use a multichannel approach. Technical barriers explain omnichannel’s failure to thrive. Only 35% have fully or partially implemented the required software platforms for omnichannel, and, among those who have bet on platforms, 58% rank vendor execution as “poor” to “fair” (compared with 13% who give their omnichannel software “excellent” marks).

Enthusiastic Embrace: Real-time Marketing

There’s a better report card for the “real-time marketing” that rapidly uses data across channels for more timely, targeted engagement in the customer journey. Resulticks reports that 49% of marketers rate their real-time marketing ability as “good” to “excellent,” that half say they have fully or partially implemented real-time marketing solutions, and that 47% say real-time is a priority for their organizations today. However, many marketers may need to adjust their definition of “real-time” if they want to compete for customers’ expectations; 47% are defining real-time as responding in an hour or more (with 20% taking a day or more), compared with the 12% delivering true real-time response in the milliseconds.

New Kid on the Block: AI

Social media giants have been betting on AI, and marketers are following their lead, with one study showing more than 50% planning to adopt AI in the next two years. However, Resulticks’ survey finds almost half (47%) of the marketers polled already rate AI as overhyped. Here’s a big source of that skepticism: 43% of marketers believe martech software vendors overpromise and underdeliver, and 69% rate their vendors’ ability to execute AI as “fair” to “poor.”

To download the study report, go to https://www.resulticks.com/marketingflabtofab.html