Managing Marketing During the Coronavirus Crisis

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The global spread of the coronavirus and fear of the virus already have caused significant disruptions in supply chains, corporate profits, economic growth and government policy. No one knows how bad things will get before they get better, but marketers need to be prepared.

Ready for More Online Traffic, Target Carefully and Prep for Delays

Certain industries are more likely to be significantly affected as people shun travel and large gatherings: airlines, cruises, events of all kinds (perhaps even the Tokyo Olympics), business conferences, hospitality, and even retail venues. Supply disruptions also could affect sectors ranging from auto manufacturing to high tech to promotional products. A general slowdown could cut advertising spend initially, but experts believe it is more likely that there will be a reallocation of dollars to cater to quarantined or self-isolating consumers via mail order, digital marketing and e-commerce for product sales; via online entertainment such as video and gaming options; and even via streaming of sports events instead of stadium venues. In a recent blog, AI and data tech company Appier suggested tactics to leverage this rise in online consumption by using online data to identify coronavirus concerns and deliver targeted relevant content and advertising via keyword segmentation, which is especially relevant for health, wellness, medical, and sanitation sectors. Companies can also develop more branded online apps, games, and videos to compete for the expanded online audience. Plus, it will be important to use AI and audience data for contextual targeting and proper placement of advertising (no travel ads in China) to avoid creating a negative brand impression. Because companies may face logistical delays, they need to commit to transparent multichannel communications on product shortages and estimated delivery times, as well as timely response to questions and complaints, advises Appier. At the same time, increased engagement via website, e-mail, social media, push notifications or in-app messaging can bring customers closer and help reduce frustration levels and attrition.

Set the Right Tone With Empathetic Messaging

Appier also stressed that marketers need to set the right messaging tone for an anxious audience, avoiding the hard sell in favor of customer and community support. In a PR Week interview, Priyanka Bajpai, regional head, Southeast Asia, SPAG Group, promoted the company’s 3E approach to messaging during the crisis: Empathy to show cautious optimism and trust in the future ability to work together and find solutions; Engagement of internal and external stakeholders to inspire confidence; and Education using multiple channels to outline the criticality of the situation and steps taken by the brand to support stakeholders. Brands may also want to highlight nonprofit support efforts to address the pandemic. Prince Zhang, CEO, Greater China, Ketchum, advised PR Week: “If you are a big enterprise that makes donations to fight coronavirus, you should make a precise external announcement with key information around the exact amount of donations, the recipient organizations, the purpose of donations, logistics etc. Brands should avoid any marketing around the donations.”

Create a PR Communications Plan Before Things Get Critical

In a recent Business2Community post, William Comcowich, interim CEO of customized media monitoring and analytics firm Glean.info, advised developing a PR Communications Action Plan just in case the crisis deepens and lengthens. Under the plan, a company would 1) stay informed and ready to act by continuously monitoring the media and regularly engaging with stakeholders; 2) emphasize employee safety, including travel plans and remote or telecommuting options; 3) boost corporate social responsibility (CSR) activities by contributing to relevant social causes (such as the Red Cross working in China); and 4) supply reliable information to staff and customers and also counter misinformation.

 

Mobile, AI Highlight E-mail Marketing Trends for 2020

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AccuList’s e-mail list and data services clients can expect to ride some positive trends into 2020, according to e-mail marketing pros. While continuing to top other channels in terms of ROI, e-mail marketing worldwide in 2019 also showed improved delivery rates, rising open rates and increasing click-through-rates, per data from UK-based Data and Marketing Association. Digital marketing platform Smart Insights recently surveyed experts to find ways to further leverage the positives this year.

Mobile-Optimize E-mail to Target Lead Source of Opens

The impact of mobile usage on e-mail can’t be underestimated. In 2019, mobile browsing (53% of traffic) surpassed desktop/tablet browsing (47% of traffic), notes Smart Insights. And while mobile still lags in terms of purchase revenue (32%) versus desktop/tablet (68%), it’s growing fast, with a 23% year-over-year increase that has helped accelerate mobile optimization across digital channels. Data from Litmus shows that mobile devices also led in e-mail opens (41.9%) compared with desktop opens (18.2%) by Q1 of 2019. Clearly, mobile optimization is a priority for e-mail marketers. Coding for a mobile-viewing format is only the beginning. Changes to copy, images and overall layout can boost click-through by streamlining presentation to place the focus on quick engagement and links to landing pages, product pages, blogs, etc., note experts. Concise copy with enough white space for easy reading is a first goal. Other tips include using image dimensions that are small enough to render well and placing images on the “first fold” to encourage scrolling. Using e-mail design with short copy not only leads to quick scanning but also allows the call-to-action (CTA) to be seen early and avoids excess scrolling that loses click-throughs. Remember that the surge in wearable technologies is limiting even more of the space marketers have for messaging. Finally, make sure that e-mails are rendering correctly across all types of devices, a testing option offered by most e-mail service providers.

Watch for AI to Expand Potential Use in E-mail Marketing

Artificial Intelligence (AI) is coming of age in marketing, including e-mail campaigns. Worldwide, 30% of companies will be using AI in at least one sales process in 2020, Gartner predicts, and 87% of current AI users say they are planning on using it for sales forecasting and e-mail campaign enhancement, per Statista. Connext Digital foresees seven ways that AI will begin to influence e-mail marketing: 1) applying algorithms and data insights for predictive personalization; 2) analyzing demographics, purchasing patterns and online behavior for smarter segmentation; 3) automating workflow for e-mail triggering, tailored messaging and lead nurturing; 4) using natural language technology to find the best words for response optimization of subject lines and CTAs; 5) improving e-mail timing and frequency by specific recipient;6)  A/B and multivariate testing to quickly identify trends and develop predictive results; and 7) developing data to enhance broader analyses, for example to predict potential churn.

Facing Privacy Laws, E-mail Marketers Focus on Building Trust

Cold e-mailing, spamming and phishing have tainted e-mail’s reputation among consumers (and marketers), but recent privacy regulations, including the European Union’s GDPR and California’s CCPA, have spurred the e-mail marketing world to go beyond CAN SPAM to focus on privacy, compliance and subscriber trust. E-mail definitely continues as a strong communications channel despite past abuses. A 2019 Drift study found that e-mail is the leading communications channel for B2C, far above websites, social media, and even face-to-face meetings, with 65% of respondents saying that they used e-mail to communicate with organizations in the past 12 months. Compare that with 55% communicating via telephone and 42% via websites, the next most popular channels. So with the majority of recipients only receiving e-mails to which they have opted-in from particular senders, smart marketers will want to focus on building on recipients’ trust and providing value in 2020.

Read more detail from Smart Insights.

Personalization and Privacy Trends Highlight Need for Data Strategy

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As data brokers, the AccuList team keeps a close eye on the many issues affecting the data strategies of our direct marketing clients. Data privacy is going to be one of those issues. While many of our U.S. clients are not affected directly by the European Union’s General Data Protection Act (GDPR), U.S.-based consumer-data privacy efforts have now resulted in the California Consumer Privacy Act (CCPA), with other states likely following that model and federal legislation on the horizon. Regulation is only one of the data complications facing marketers now that omnichannel data personalization has become essential for targeted response and ROI. So what strategies will help prepare for data market changes in 2020?

Data Privacy Demands Customer Focus Across Silos and Sources

Companies face complicated decisions when combining first-party data collection, user-level data from the big digital platforms (Google, Facebook and Amazon) as well as second- and third-party data in ways that balance consumer privacy with smart (and customer-demanded) personalization. A post in AdExchanger by Briggs Davidson, a senior manager at Deloitte Consulting, outlined some key steps for coping with a marketing data landscape that now includes regulation like CCPA. He advises starting with a focus on the customer in collecting, organizing, storing, and activating data across all silos that may need to meet data-privacy compliance, such as marketing and IT. Then when it comes to first-party data, prepare to shift marketing strategies to ensure consumers have a reason to share their data, delivering value to build trust. Davidson predicts creation of data clean rooms, or a separate analysis space for combining first-party data with platform-level customer data under strict privacy controls before usage. Marketers also will need an even closer embrace of media analytics to support a unified customer view, and use of new tools, such as Google’s Ads Data Hub. Finally, marketers will need multidisciplinary teams—for example Google’s upcoming restrictions on DoubleClick ID will boost the need for tech pros for unified customer views within Google—as well as partner collaboration in collecting and storing customer data.

Personalization Power Is Driving Marketing Data Trends in 2020

Hyper-personalizaton is expected to drive data marketing in 2020, according to a useful infographic put together by European digital platform firm Qualifio, which found that 83% of marketers say creating personalized content is one of their biggest challenges. Why? Because personalization now requires: 1) new tools to collect and analyze first-party data for compliance with data privacy regulations like GDPR and CCPA; 2) an omnichannel purchasing journey and analytics for a single customer view; 3) incorporation of new technologies such as voice search (50% of Google searches are expected to be voice searches in 2020); and 4) meeting rising customer standards for personalized promotion and service. In fact, 70% of the customers surveyed want an immediate response to their questions or complaints, which is fueling artificial intelligence  (AI) and machine learning (ML) initiatives. Marketers surveyed are already moving to meet personalization challenges, with 78% of European companies completing a GDPR compliance assessment and 65% using omnichannel efforts to personalize customer journeys, per Qualifio’s data. For those U.S. marketers still hesitating to commit to personalization, check out these statistics on improved response, ROI and brand loyalty for e-mail, mobile, e-commerce and digital ads. Direct mail personalization, from name-only to variable images and text, has a proven track record of success, too; in fact, a 2019 survey by NAPCO Research found 44% of responding marketers said personalized direct mail increased response, on average, by 16%.  

Data Quality Key to Privacy, Personalization, New Tech Initiatives

Data quality will be even more key to data strategy in 2020. It is paramount in meeting consumer data privacy regulations, for example, where validated contact data is required to avoid consequences ranging from compliance penalties to brand damage. Effective omnichannel, targeted marketing also requires data quality. A Forrester Consulting July 2019 report 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. Plus, the high-tech analytics and artificial intelligence (AI)/machine learning (ML) that marketers count on to boost personalized customer interaction also depend on data quality. A majority of enterprises engaged in AI/ML initiatives (78%) say these projects have stalled—with data quality as one of the culprits for 96%—according to a new study from Dimensional Research. That’s why CMO Kristin Hambelton, of Marketing Evolution, urges marketers in a recent Forbes magazine post to take these basic steps for improved 2020 data quality: 1) prioritize data quality and create a comprehensive initiative that includes not only processes and technology but defined positions responsible for data verification, collection and cleansing policies; 2) define and verify high-quality data in terms timeliness, completeness, consistency, relevance, transparency, accuracy, and representativeness; 3) organize disparate data sources with unified marketing measurement, breaking down silos to develop a holistic customer view across sources and channels, and to form actionable insights. 

 

 

Prep for 2020 Marketing With Clean, Personalized, Predictive Data

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As 2019 closes, AccuList’s data services clients have a year’s worth of multichannel customer, campaign and sales information to analyze and inform 2020 plans. So what are the big trends that the data pros foresee will deliver maximum ROI?

Data Hygiene Issues Remain a Priority

Clean, up-to-date, quality data is still the basis for good marketing analyses and campaign planning. A November Business2Community post by marketer Dan Moyle helpfully summarized the key data cleansing tasks that businesses need to undertake to hit the ground running in 2020. After all, it’s estimated that 20% of the average contact database is dirty, so this is not a trivial effort. Increasing marketing efficiency, response and customer loyalty, requires removing data errors and inconsistencies. Start by monitoring data for issues such as duplicates, missing information or bad records to figure out how and where they are occurring. Then standardize processes at each entry point. Next validate the accuracy of data across the database by investing in data tools or expert data services, and commit to regular cleansing and maintenance of data quality. Identify and scrub duplicates. Once the data has been standardized, validated and de-duped, improve its analytic value by using third-party data appending sources (to flesh out demographics, psychographics, firm-ographics, purchase history, etc.) for a more complete customer picture. Establish a feedback process to spot and update, or purge, incorrect information, such as invalid e-mail addresses identified by a campaign. And communicate standards and processes to the whole team so that they understand the value of clean data in segmentation targeting, lead response, customer service and more.

Using Data for an Agile, Personalized, Customer-Centric Edge

Data trends figured prominently in the 2019 Martech Conference and a recent article from martech firm Lineate highlights a few keynotes, such as the role of data in personalization. When a 2019 RedPoint Global survey of U.S. and Canadian consumers finds that 63% expect personalization as a standard of service and want to be individually recognized in special offers, personalized marketing is clearly a competitive essential. Expect to see use of Artificial Intelligence (AI) and machine learning (ML) increase in 2020 as personalization tools. Machine learning is when a computer is able to find patterns within large amounts of data in order to improve or optimize for a specific task. For example, for more personalized offers and messaging in acquisition, this means using ML to recognize if people from certain areas are more likely to respond to a specific offer or which past high-response special offers may resonate in future . Personalization is also key to the customer-centric experience proven to drive long-term retention and brand loyalty–as opposed to getting the same message again and again. When personalization is combined with elimination of data silos and creation of a single customer view across channels, marketing becomes especially powerful. Indeed, integrated database development and the elimination of data silos are also key to the growing “agile marketing” trend. Agile marketing breaks down team silos (which assumes breaking down data silos) in favor of teams focusing on high-value projects collectively. According to a 2018 survey by Kapost, 37% of businesses have already adopted agile marketing, and another 50% said they haven’t yet become agile but expect to be soon.  

Taking Data Insights From Retroactive to Predictive

Looking ahead to 2020, marketers should also consider adding predictive modeling to their toolkit if they haven’t already done so. Why? A study by ClickZ and analytics platform provider Keen found that 58% of marketers using predictive modeling experienced a 10%-25% ROI lift, while another 19% saw more than a 50% uplift. While retroactive campaign data can be very useful for reporting and results analysis, it’s not always as good for informing future multichannel directions, for optimizing media investments, or for quick execution and performance assessment. In fact, nearly 80% of Keen/ClickZ survey respondents felt they’d missed opportunities because of slow or inaccurate decision-making using non-predictive data reporting. For example, standard data analysis often fails to span all channels (e.g., online video vs. store-level programming) and mistakenly gives most credit to last-click channels such as search or transactional activities. In contrast, the Keen/ClickZ survey found marketers using predictive modeling boosted results in multiple areas, including a better understanding of the target audience (71%), optimizing of touchpoints on the customer journey (53%), and improving creative performance (44%). Predictive modeling also can help businesses synthesize large volumes of data, a key concern for many; in fact, 38% indicated their current measurement solutions do not support the scale of their data.

 

Data, Technology, Personalization Top Event Marketing Trends

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Because AccuList helps trade show and conference marketing clients with market-tested direct mail, e-mail and telemarketing lists and services, we naturally watch trends in event marketing closely. Overall, the good news is that, even in a digital world, live events and face-to-face experiences retain their power, with over 40% of marketers saying live events are their most important marketing channel. Plus, event marketers have more tools (and challenges) as they move into 2020.

New Technology Tools Build Buzz and Engagement

A post by marketing guru Michael Brenner for Marketing Insider Group cites a number of technology trends that event marketers can use to boost attendance, engagement and ROI. For example, Artificial Intelligence (AI) can improve efficiency at all stages of event planning and marketing, from ticketing and sales to personalized promotions and automated event follow-up, while augmented reality (AR) and virtual reality (VR) can provide more immersive and engaging experiences to event-goers, for example by demonstrating a product (such as a luxury apartment) that is difficult to do at scale or by engaging attendees like the Coca Cola-hosted VR that let participants be a football player in the World Cup. Interactive video is also being increasingly used to build buzz on social media before events and to increase personalized interaction at events.

Up-to-date, Quality Data Literally Drive the Show

Marketing technology now provides access to real-time event data that can enable marketers to evaluate everything from attendance numbers and attendee satisfaction to which talks and topics are the most popular. Long-term, accurate information about registrations, ticket sales, and attendee demographics can help create effective audience-building and exhibitor sales campaigns. Indeed, many marketers find their biggest problem is being overwhelmed by a flood of data, ranging from audience attraction (website visits, social media clicks, registrations);  on-site engagement (RFID metrics, mobile app engagement); post-show follow-up (attendee opinions, costs, ROI); and auxiliary data (CRM, membership data, attendee interests). The key to prioritizing and analyzing, notes event marketing and tech agency Freeman, is to 1) centralize, standardize and integrate data; 2) decide on goals (such as attendee satisfaction, exhibitor ROI, or reduced attendee and exhibitor churn); and 3) define the metrics that best measure achieving those goals. Remember you only manage what you measure, so a focus on growing an overall attendance number can miss the more important goal of getting the right people to attend. Based on analysis of attendance or exhibitor patterns in the data, marketers can then segment data lists in direct marketing for better targeted response and ROI.

Using Data for Personalization Now Seen as Key

For all marketing channels, digital and off-line, personalization is the new requirement. As Brenner’s post notes, because they believe it’s so effective at increasing event marketing ROI, 9 in 10 event planners use some form of personalization. His article includes a useful infographic from a 2017 Eventsforce study on the ROI of personalization which shows that not only do 73% of event planners believe that personalization and data-driven marketing are a priority but 89% personalize event invitations via names, content and links; 71% personalize event communications via e-mail content and landing pages; and 58% personalize registration via different forms for different audiences. Other areas of personalization include event site experiences and give-aways; push notifications and concierge services on apps and mobile; agenda scheduling and networking; and personalized survey questions. As far as collecting the data needed for personalization, the most effective tools are rated as registration systems (84%), CRM/marketing systems (62%), surveys (29%) and event apps (29%). Lower-rated options include social media, interactive screens and kiosks, and interactive technology such as RFID badges. For more, see Brenner’s article.

Research Shows ABM, AI, Analytics Drive B2B Marketing Success

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A new report based on business-to-business marketing data from Salesforce Research, Forrester Research and the Information Technology Services Marketing Association shows how technically sophisticated top-performing B2B marketers have become in order to woo today’s demanding clients. “B2B marketers are increasingly using a mix of account-based marketing (ABM), artificial intelligence (AI), and analytics to connect the right customers with the right content at the right moments,” concludes B2B Marketing Trends: Insights From the Frontline released in June. To enlighten our B2B clients, AccuList can pass along a few key findings.

Unified Data Vital to Personalization Demand

Today’s business buyers demand personalization: 69% of business buyers expect companies to anticipate their needs, and 60% of business buyers are comfortable with companies applying relevant personal information in exchange for personalized engagement. B2B marketers are not quite up to speed yet, however, with only 46% of B2B marketers reporting a completely unified view from customer data sources. This is true even though most marketers agree that personalization improves brand building (92%) and customer advocacy (80%). The high-performing marketers have invested in customer data and are reaping the rewards, with 66% of high-performing teams saying they are satisfied with their ability to use data to create relevant, personalized experiences. In contrast, the under-performers are way behind, with only 7% satisfied with their use of data.

High-Performing Marketing Teams Use ABM

Account-based marketing (ABM) programs are collaborative efforts between marketing and sales teams, designed to focus attention on high-value customer accounts. High-performing B2B marketing teams are much more likely to collaborate effectively with sales teams on ABM programs (54%) compared with under-performing marketing teams (34%), according to the report. Because of the value of ABM programs, one-third of B2B marketers are currently planning to build them into their existing marketing automation platforms. Among B2B marketers using ABM, the ABM programs now account for more than a quarter of their total marketing budgets. Why? Nearly half of ABM users say the programs deliver higher ROI than comparable marketing methods: 77% of ABM users are achieving 10% or greater ROI, and 45% of ABM users are seeing at least double ROI compared to other marketing methods. ABM ROI is not a slam-dunk however; the top four challenges reported include getting data and reports to track results, personalizing marketing to key account contacts, getting adequate budget to support programs and resources, and developing customizable, scalable campaign assets. To further leverage ABM, many marketers have added, or plan to add, technology platforms such as website personalization to serve relevant content, predictive analytics to select accounts, and business intelligence or ABM data aggregators to measure results by account, etc. Also gaining in popularity is use of chatbots or conversational interfaces, while traditional efforts such as personalized, dimensional direct mail integrated into digital marketing continues to bolster ABM, too.

Growing Use of AI by B2B Marketers

Some 69% of business buyers expect personalized “Amazon-like” customer experiences today, per the recent B2B report. As a result, AI usage among B2B marketers grew 23% in 2018, with the majority of these marketers using AI within marketing platforms to optimize mid-cycle engagement. B2B marketers are using AI to facilitate online experiences with offline customer data, to drive next best offers in real time, to improve customer segmentation, to create dynamic websites and landing pages, and to personalize overall customer journeys, as well as a number of other goals. B2B marketers are also beginning to use AI technology beyond their marketing automation platforms; for example, almost half of B2B marketers use connected devices, and one-third added voice-activated personal assistants (such as Apple’s Siri and Amazon’s Alexa) in 2018. Register to download the free “B2B Marketing Trends: Insights From the Frontline” for more data on other B2B marketing trends.

Tech & Data Trends Spur 2019 Fundraising Opportunities

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Despite 2019’s many challenges for nonprofit marketers, including competing for attention with political fundraising noise, trends in data analytics and technology offer good news for AccuList’s fundraising clients.

Fundraising Can Leverage Digital Innovations

Consider trends highlighted in this spring’s Nonprofit Technology Conference in Oregon. For example, nonprofit tech pros reported success using Digital Wallets, such as Apple Pay, Paypal and Google Pay, to make donating easier for donors and to increase conversions. AI and chatbots are another boon cited by tech experts, not just because they free up staff from time-consuming interfaces but because they can be used to segment audiences and tailor communications to boost donor acquisition, value and retention. Meanwhile mobile text messaging and mobile giving not only continue to grow in use, but nonprofits are learning to leverage SMS to trigger response, scale donor relationships and engage and motivate communities more fully. Online giving continues its growth path, but there are now more online giving services and their offerings are expanding. For example, Give Lively has free online fundraising tools for text-to-give, peer-to-peer, events, and integration with social media platforms such as Facebook. Finally, virtual-assistant voice services have entered the fundraising arena; for example, Amazon’s Alexa now can help donors verbally contribute up to $10,000.

It All Comes Back to Targeted Data

But for tech innovations to be effective, quality data and data analytics are essential. For example, fundraising efforts can use data to identify and segment those groups of current or inactive donors more likely to increase their donation dollars or flag donors to tap as future legacy donors. And data analytics can combine with real-time marketing automation, triggered e-mail series and variable data printing of personalized direct mail for improved donor acquisition. While the task of data collection and analysis can seem overwhelming, nonprofits don’t need to vacuum up every bit of big data for better results. The key is to collect and track the information in the donor database, or to select the key response factors to target in prospect lists, which are most likely to lead to success. Beyond the basics of name, address/contact, gender, age and date and amount of last donation, data targeting can be enhanced with parameters indicating donor capacity (the ability to give) and donor affinity (the willingness to give). Indicators of donor capacity include personal income/wealth measures, real estate ownership, business title, stock ownership, etc., while donor affinity parameters include the RFM (recency, frequency, monetary) of the donor or prospect giving history, past relationship/interest in a specific cause or affiliated appeal, and political affiliation and giving. Check out this article on donor data from Candid’s Philantopic blog for data management tips.

Beware Assumptions About Donor Data

A good database policy also includes regular hygiene and updating as well as an ongoing check for knowledge/data gaps. Classy, the online fundraising software provider, suggests challenging assumptions of donor knowledge by making sure analytics can deliver on these questions:

  • When are donors most likely to donate?
  • What is the average donation amount?
  • What is the average donation amount?
  • Are there different types of donors?
  • What is the reason for donation?
  • How does the donor liked to be thanked?
  • What is the donor’s communication channel preference?
  • What value does the donor get from donating?

See the rest of Classy’s suggestions on using data for fundraising.

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.

 

Personalization Is Now Key to Insurance Marketing ROI

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Personalization has become a mantra for all direct marketers, but it is especially relevant to AccuList’s insurance marketing clients. According to an Accenture 2018 study, 80% of insurance consumers are willing to share data to get more personalized offers, messages, pricing and recommendations from auto, home and life insurance providers. Although over 70% of insurance marketing campaigns claim to use some personalization, surveys show marketers are not doing enough to satisfy that customer demand. As a result, marketers can miss out on personalization’s proven power to improve response and ROI, lower acquisition costs, and enhance cross-selling.

Personalization Revs Mail’s Acquisition Power

While digital data often leads conversations, the importance of personalization in traditional direct mail, still an insurance workhorse, should not be ignored. After all, direct mail is considered more personal than digital by 69% of recipients, giving personalized content extra power. Direct mail also gets an average 9% response rate for house lists and 5% for prospects, per 2018 DMA/ANA data, compared with 1% or lower for other channels. Plus, for the digitally addicted, adding direct mail to digital bumps up conversion by 28%. A recent article on insurance marketing from agency Ballantine advised on top ways to maximize mail ROI, and, no surprise, personalization dominated—assuming clean, up-to-date mailing lists with important targeting parameters. First, marketers can use variable data printing and database parameters to personalize content and images to match the consumer’s life stage, so, for example, auto policy creative targeting a young single first-time car buyer differs in messaging and images from the creative for an older couple with a minivan. Next, marketers can personalize rates by taking into account factors such as the age and gender of the targeted recipient. And they can tap personal interests by leveraging affinity relationships, such as a specific sports team or association affiliation, via targeted discounts. Personalization shouldn’t stop with the mailing package but should then continue through the customer journey. Marketers can study the sales funnel to find when leads are most likely to drop out so that processes can be simplified, streamlined and further personalized to boost conversion. Simple examples include pre-filled forms and postage-paid return envelopes.

It’s All About Prospect and Policyholder Data

Meanwhile, One Inc., an insurance software company, offers a helpful roadmap to digital personalization. As with direct mail, marketing begins with quality consumer data and analysis, taking a step beyond age, gender and location to parameters that identify unmet needs and customer value for targeting and prioritization—such as a recent move, a new home, a new baby or an upcoming policy expiration date. Next, marketers need to track lead and policyholder actions to decide on the specific digital behaviors that will trigger a personalized response, say following up an online request for information with a series of lead-nurture e-mails. Then, marketers can design and test small campaigns of personalized content and process before expanding to more channels and audiences. Once strategies and processes have been developed and tested, an investment in marketing automation technology can follow, including AI algorithms using real-time data and behavior to tailor offers, customer service, cross-selling, lead scoring and more. Indeed, the advent of AI in the digital world is accelerating consumers’ personalization expectations, and the impact on the insurance industry is expected to keep rising in 2019, per articles.

Retention Relies on Smart Personalization, Too

Meanwhile, studies show personalization is also essential to cost-effective policyholder retention. One Inc. provides this example: An auto policyholder has a documented poor experience when filing a claim, putting the client in a “high risk” category for churn. Based on industry data that policyholders typically shop roughly two months (60 days) prior to policy expiration and that roughly one-third of shoppers switch carriers, marketers use the policy expiration date and contact information to send a letter 60 days before the policy is set to expire, personalized by the policyholder’s name, of course. The letter includes a personal note that acknowledges the poor experience and pledges to do better, an offer of a discount for renewing early, and rep contact information for quick response to questions or concerns.