Prep for 2020 Marketing With Clean, Personalized, Predictive Data

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

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

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

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

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

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

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.

AI, Data, ‘Talent Culture’ Boost Incentive & Recognition Impacts

AccuList’s many incentive and recognition products marketing clients should take a look at The Incentive Research Foundation’s “IRF 2019 Trends Study” for tips on where the market is headed this year.

Room for Growth With a Corporate Culture Stress

With economic growth and optimism strong, companies are continuing investment in incentive and recognition rewards, with considerable room for market expansion for product suppliers: 84% of businesses are now using non-cash rewards, but past studies show close to 60% of merchandise and gift card rewards are still sourced through retail versus specialized agencies or providers. One factor pushing the recognition market is the trend to “talent culture” creation by C-suite executives, with “The Incentive Marketplace Estimate Research Study” finding more employers than ever offering non-cash rewards aimed directly at building relationships, encouraging inclusion and knowledge-sharing, and promoting engagement. Why? IRF’s studies as well as academic research are finding that when executives combine economic incentives with recognition and well-designed non-cash rewards, they promote “corporate citizenship” behaviors and work environments that attract and retain top talent.

Continued Spending for Merchandise and Gift Cards

Overall use of merchandise rewards is expected to increase, per IRF, particularly among corporate audiences, with a net increase of 33% compared to a net 20% of suppliers and third-party providers. The use of logo’d brand-name merchandise dominates, with 75% of corporate programs using these items as rewards. Other popular rewards are electronics (63%) and clothing/apparel (59%). The average merchandise reward value is pegged at $160, pushed up by the small part of the market that spends more per reward; in fact, nearly a quarter of respondents indicate their average merchandise reward is $100, and half of respondents reporting average merchandise reward values falling between $1 and $100.  Meanwhile, gift cards continue to be a popular option within reward and recognition programs, with open loop cards (that can be used anywhere) and brand-specific cards both enjoying high utilization. Plus, e-gift cards are gaining momentum, with half of large enterprises and 58% of medium enterprises using them in 2018.

Analytics and AI Are Changing the Landscape

Of particular note, IRF’s most recent study urges reward program designers and suppliers to understand how predictive analytics and AI are changing the market: “In the incentives field, predictive analytics and machine learning are helping program designers understand who is drawn to which types of rewards, and how those rewards should be shaped and presented to produce the best outcomes on an individual basis. Organizations are using analytics and AI to see patterns in peer-to-peer recognition so they can encourage greater participation. Some are using it to personalize learning. In the near future, algorithms will spot patterns and correlations between past rewards and incentives and the desired behaviors and outcomes that define a high performer.” Read the full IRF trends study for more, including data on incentive travel and event gifting.

Fundraising Challenges Include Gen Z, E-mail, AI

For AccuList USA’s nonprofit fundraising clients and fundraising consultants, 2019 will be another challenging year. Successful direct marketers will need to adapt to changes in demographics, technology and donor targeting, to name just a few trends recently cited by the Donorbox Nonprofit Blog.

Move Over Millennials; Here Comes Gen Z

Donorbox is sounding the alert ahead of the next demographic wave. While the Millennial generation is still the biggest cohort in the workforce, Gen Z is arriving. Born after 1996, they now make up an estimated 27% of the population and will account for 40% of all consumers by 2020. How are they different? The “2017 Global Trends in Giving Report” found that Gen Z members are interested in giving to many different causes, especially those involving youth, animals and human services. But to win the attention of these digital natives, messaging must be concise and engaging, offering an immediate experience that cuts through the marketing noise they routinely filter out. Gen Z is also the first mobile-only generation, so website, e-mail and donation forms must all be optimized for mobile. Plus, Gen Z likes visual-based platforms, so fundraising creative should use photos, videos and infographics to tell stories that grab attention.

Donors Expect Hyperpersonalized, Targeted Messaging

Accustomed to sophisticated digital technology that tailors messaging a la Amazon and Netflix, today’s donors expect a personalized, targeted approach that takes into account demographics, giving history and even psychographics. A generic appeal will fall flat. That means segmenting donor and prospect lists and using variable data printing to specialize messaging to account for generational differences and other demographics. It means tailoring the “ask” to the prospective donor’s income and giving history. It means refining giving/donation pages to highlight projects and wording that will resonate with the target donor group.

Donors Embrace E-mail Fundraising If Done Well

E-mail has gotten a bad rap recently because of crowded mailboxes, spam filtering and low response rates, but there is a lot to be said for revisiting e-mail strategy in 2019. For one, research shows that donors willing to donate through e-mail rose from just 6% in 2012 to 28% in 2018. Second, low-cost e-mail has an ROI of 122%, much higher than direct mail, social media and paid search. Finally, a backlash against social media abuses, including among the mobile-first generation, is improving e-mail’s digital appeal. But e-mail needs to be done well to deliver donors. Personalization and targeted messaging is expected, so, again, segment the audience by demographics, desired communication frequency, giving status, etc. Make sure there is a clear call to action, a compelling subject line, simple attractive visual design, and, most of all, impactful storytelling.

AI Can Help Turn Data Into Dollars

Artificial Intelligence (AI) is on its way to becoming ubiquitous in our society, and that will include fundraising. AI broadly refers to programs, computers and machines that perform “intelligent” tasks such as planning, learning, problem-solving, communication and more. AI can help nonprofits gather more data and use it better to advance missions and marketing. For example, one of the simplest uses of AI is a chatbot that interacts via messaging services like Facebook Messenger, Slack, Telegram, etc. A nonprofit can create a chatbot to handle donations, register members and distribute information about programs and services. AI also can be used to personalize donor journeys with tailored, personal messages based on real-time donor behavior and timed to encourage contributions. Finally, AI can weaponize data for more cost-effective donor development and marketing. For example, a donor’s giving and volunteering history, event attendance, affiliations, relationships, and data from wealth screening tools can all be analyzed to predict a potential donor’s likelihood to give a major gift.

See the complete list of eight fundraising trends identified by Donorbox.



fundraising trends for success

2019 Trends Open Doors for More Direct Mail Success

Direct mail lists and data services are core to AccuList USA’s business success, so each year we research which trends our direct mail marketing clients will want to embrace for maximum response–and which trends are fading in effectiveness.

Digital Ad Tune-outs Offer Mail Opportunities

Digital issues can create direct mail opportunities, points out direct mail agency Inkit, noting that customers are tuning out digital advertising, whether e-mails, banners or social media promos. In fact, eMarketer estimates that 30% of all Internet users will use ad blockers in 2019. One way to offset the drop in digital ad effectiveness is to beef up direct mail campaigns. Note that ANA-DMA research shows that 84% of millennials take the time to look through their mail and 64% would rather scan for useful information in the mail than e-mail. Plus, 41% of millennials and 53% of Gen Xers report enjoying catalogs. That engagement translates into higher response rates for mail than for any other media, per the 2018 ANA-DMA Response Rate Report, with 9% for house lists and 4.9% for prospect lists.

Snail Mail Can Join the 2019 Video Boom

While digital ads are being ignored, digital video is booming; Inkit reports that Cisco projects video will encompass more than 85% of all Internet traffic in the U.S. by 2020! Direct mail doesn’t have to be left out. Thanks to print technology–QR, AR, Video-in-Print and Near Field Communication (NFC)–paper promotions can jump on the video bandwagon and further boost their own mail response.

2019 Demands Personalized, Cross-Channel Campaigns

Customers in 2019 will expect marketers to personalize offers and deliver a seamless experience across channels, Inkit asserts, requiring integration of online, e-mail, direct mail, social media, mobile, and in-store campaigns. In fact, retailing research recently found that close to 90% of retailers say integrated cross-channel or omnichannel marketing is key to success. AI is one way marketers are getting a handle on messaging across channels and at different points in the buyer journey, which can help decide timing and targeting of direct mail. Meanwhile, for mail, variable data content printing and enhanced database targeting and segmenting can deliver the personalized relevant messaging that will be a basic of 2019 marketing.

Take Variable Data Printing to the Next Level in 2019

Yet when it comes to printing and personalization, there are some popular direct mail practices that need to be ditched this year, advises direct marketing agency Darwill. For example, using a 4-color master shell on which variable content is laser-printed in black and white has become old-hat given that new inkjet presses can create endless 4-color versions for a more targeted and engaging campaign. Along the same lines, the custom maps laser-printed in black and white can be replaced by full-color variable maps that are more personalized, eye-catching, and likely to drive leads.

Use Envelopes to Intrigue Outside; Put Tailored Offers Inside

This year, instead of revealing all details of a promotional offer on the outside envelope to drive opens, Darwill advises that a promotional pitch that is visible but not fully revealed on the envelope is likely to work better–a sneak peek at a personalized offer. Then once the recipient opens the envelope, he or she better not find one-size-fits-all content! Luckily, with today’s full-color inkjet technology, a letter or a coupon can now be varied based on a recipient’s past shopping patterns or demographics.