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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.

Positive Industry Trends Buoy Museum Marketing

AccuList’s museum marketing clients can take heart from a number of trends that are boosting museum appeal to visitors and donors, according to a recent report on the museum industry from ticketing solutions provider Acme Technologies.   

Demographics, Political Angst, Tech Innovations Boost Museum Interest

Demographics favor museum marketers, the report notes. The baby-boomer generation, the most populous generation still living today, is made up of the most loyal frequenters of museums and galleries among generations, while data shows the tech-savvy millennial generation, which demands stimulation and interactivity, is being wooed by modern museums’ innovative tech and design. Museum appeals are even benefiting from our contentious politics today as conflicting media, heated partisanship, and rapid social change drive the public to seek out museums as safeguards of knowledge, culture, and history. Finally, technology trends are transforming museums from halls of dusty relics to efficient institutions using novel and interactive solutions to improve visitor experiences, with digital systems integration, VR, and greater disabled accessibility for example.

New Tactics Help Museum Marketers Leverage Trends

The Acme report notes a number of tactics that will help museum marketers leverage the demographic, cultural and technological trends in their favor. For one, galleries, zoos and other foundations can integrate traditional displays with innovative tools that allow audiences to experience collections in new ways. For example, the Netherlands’ Van Gogh Museum in Amsterdam is using Virtual Reality to provide a unique view of the famous painter’s works, while the Cleveland Museum offers a digital map that visitors can access via their smartphones to navigate exhibits. Social media is another boon for savvy marketers. Instagrammable selfies are becoming intentional features in museum tours as an attractive souvenir that visitors create themselves. An example is the San Francisco Museum of Modern Art’s “Snap + Share” show about social media, photography, and “selfie culture” influence on art. One interactive hit is an artwork that encourages visitors to snap a selfie with their head in a freezer, and tag the museum in the resulting Instagram post. Finally, museum and zoo marketers are increasing reliance on data-driven decisions. Data analytics offer insight into museum-goer trends for strategies that widen audiences and increase donations. The report cites the example of The Reina Sofia Museum in Madrid, Spain, which hired data analytics provider Synergic Partners to analyze tourist visitation trends for a special Picasso exhibit. Information gathered showed the most common nationalities of visitors, and allowed the museum to better cater to their needs and expectations. For more marketing trends and examples, see the full museum industry trend report.

Catalog Marketing Retains Its Retail Clout

Consumer retail catalogs, far from fading away with the growth of e-commerce, have continued to deliver for our omnichannel retail clients. A Multichannel Merchant blog post earlier this year cites a number of reasons why retailers should consider expanding, reviving or initiating a catalog marketing effort, especially with an eye to upcoming holiday spending.

Catalogs Boost Engagement, Response Across Channels

Catalogs are not, as some assumed, favored only by older buyers, while younger buyers focus on digital channels. In fact, research has shown that 65% of millennial target buyers have made a purchase influenced by a catalog. Today’s lower mail volumes combine with the unique visual and tactile qualities of print to make catalogs stand out in terms of engaging interaction for younger generations, boosting response over online display and even e-mail. Retailers who integrate catalogs with stores, websites and mobile in omnichannel acquisition campaigns boost response and conversion overall. For example, researchers have found that 20% of first-time customers make a purchase on a retailer’s website after receiving a catalog.

Technology Allows for Personalized Targeting, Fulfillment

Today’s more sophisticated data analytics and marketing technologies let marketers track spending habits and response across channels to better leverage catalogs as part of omnichannel marketing campaigns. Retailers can not only use use variable data printing to personalize catalogs based on demographics and purchase behavior but can then use intelligent fulfillment technology to integrate targeted catalogs and samples into the existing fulfillment operation to expand brand marketing opportunities. To capitalize on online response to print catalogs, retailers can use innovations such as quick codes applied to printed catalog products for easier online purchasing. And they can use nimbler, on-demand printing to offer repeat customers a catalog built to their unique interests. Warehouse technology then can put the right catalogs in the right customers’ hands quickly and seamlessly. Certainly, retailers should consider how leveraging technology will make holiday catalogs into better sales drivers. For example, as the Multichannel Merchant post notes, retailers with order packing software in place can simply assign an SKU to a catalog or a pending holiday “Buyer’s Guide,” include the SKU in order packing software rules, and pack a catalog in each shipment as part of a holiday campaign, boosting brand recognition and repeat customers.

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.

Is Your Direct Marketing Realizing Personalization’s Potential?

Every direct marketing effort today starts with an assumption of personalization. In fact, with today’s tech advances in digital data, marketing automation, AI, variable data printing and more, the simple “Dear FirstName” personalization of yesteryear has been replaced by goals such as “hyper-personalization” and “personalizaton at scale.” Barry Feldman of Feldman Creative recently put together an infographic for MarketingProfs to illustrate the potential of personalized marketing for those who still think appealing to “FirstName” is enough.

It All Starts With Good Data

Before summarizing Feldman’s infographic, we would point out that, as data brokers and data services providers, AccuList is especially interested because personalized marketing relies on up-to-date, enhanced, accurate data to deliver on the promise—the right message, to the right person, at the right time—whether for customers or prospects. Customer outreach and the customer-based analytics for targeting prospects require collecting data from as many sources as possible: CRM, web activity, e-mail, direct mail, mobile apps, second- and third-party demographics, social media, and multichannel advertising. And then that data must be combined and maintained in a regularly hygiened customer data platform. Haven’t gotten there yet? You’re not alone. Only 5% of marketers have attained a single customer-data view that allows launching personalization across channels, per the infographic.

Why Invest in Personalization? Buyers Demand It

So why worry about an edge gained by just 5% of competitors? When 78% of Internet users say personally relevant content increases their purchase intent, and 81% of consumers say they want brands to know them better and to know when (and when not) to approach them, any brand that is ignoring that demand for personalization is ignoring the bulk of their potential market. What do customers and prospects want? Feldman’s infographic breaks it down into “four R’s” based on research: Recognize, Remember, Relevance and Recommend. People expect to be recognized by name and to have their preferences remembered so that brands can make suitable recommendations and send relevant offers.

The Payoff Is Big in Financial and Brand Clout

The bottom line shows why the “four R’s” matter. Studies find that personalization can cut acquisition costs by up to 50%, lift revenues by 5%-15%, and increase the efficiency of the marketing spend by 10% to 30%, per the infographic’s sources. Plus, in a competitive market, personalization will woo the 60% of shoppers who prefer to do business with brands that provide personalized, real-time offers and promotions. This is especially true if the customer experience is consistent across channels. With omnichannel personalization, studies show that marketers can achieve the multiple goals of boosting response, improving customer experience, increasing brand loyalty, driving revenue and delivering creative consistency across channels.

Omnichannel Personalization Includes Direct Mail

While discussions of one-to-one marketing often focus on digital efforts, traditional direct mail also has benefited from the technology trends driving personalization. Of course, a postcard or an envelope are, in a sense, always personalized by name and address for delivery, but inside the envelope or mailer, a letter, reply card, lift note, coupon, etc. can be personalized even more extensively. For example, a personalized pre-filled reply card has the advantages of both increasing response by cutting recipient effort and ensuring reply completeness and accuracy. More important, with enough quality data on recipients and modern variable data printing (VDP), messaging can be modified for each recipient based on database/list information such as purchase history, demographics/firmographics and online activity. A business-to-business campaign can be tailored by industry, title, association membership, online visits and more. A retailer can use product purchase history to craft discount offers, up-sales and cross-sales. An auto insurance mailer can leverage policy expire date, owner age, vehicle information, online quote requests, etc. to create a timely, personalized offer. VDP can even tailor graphics to fit individualized content. Plus, printing a personalized url (PURL) is one option that can take a curious recipient to a personalized online landing page with a pre-populated form and select offers. Or unique QR codes can be printed to take each recipient to a custom, personalized web page. There’s no reason for direct mail to remain stuck in the “Dear FirstName” era of personalization!

Avoid Segmentation Missteps to Boost List ROI

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.

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.

 

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