Social Media Isn’t Just for B2C; the Right Tactics Build B2B Leads

Some business-to-business marketers shrug off social media as a consumer branding and sales channel, sticking to company page branding and PR announcements on social platforms. They are missing a lead source, argues Tessa Berg, vice president of B2B agency Tenlo, in a recent MarketingProfs post. She urges B2B promoters to consider the many ways they can use social platforms to generate leads, and AccuList certainly supports these tactics via its own LInkedIn and Facebook/Instagram marketing programs.

Where to Go on Social Media? Where the Customers Are!

In deciding investment in social outreach to snag leads, start by profiling your target customers and where they gather on social platforms. Here’s a hint: 80% of B2B leads come from LinkedIn, compared with 13% from Twitter. That doesn’t mean B2B marketers should exclusively use LinkedIn. For example, Twitter allows for more direct interaction with prospects. And with the proven effectiveness of video marketing, why not leverage platforms like YouTube and Instagram to stimulate interest via product or branding videos?

Supplement Organic Reach With Paid Ads

Social platforms want to monetize their audiences so the reach of organic social activity has been increasingly subordinated to paid advertising. At the same time, many social platforms have improved targeting options for paid advertising. So it makes sense to pair organic actions with highly targeted paid social ads. Social tracking data will uncover important insights into which content and messaging on which social channels generate the best engagement and site traffic. Clear calls-to-action driving to owned content (website or landing page) will help capture leads better than a generic “Contact Us.” Offers of engaging content, say a video on product installation or an infographic addressing a key issue such as sustainability, also help gather lead contact data, Berg adds. Don’t get stuck in a rut with success, however; Berg prompts marketers to vary the types of ads and the content of ads deployed to avoid losing audience interest over time in the fast-moving social world.

Answer Questions and Leverage Presentations to Make Connections

One of the easiest, most effective ways to create relationships with prospective customers is to address the questions they pose on relevant platforms such as LinkedIn, Quora, and Reddit, Berg notes. Empower social and technical teams to answer in a timely and effective way to position your company as an expert and build audience connection. As a bonus, you will likely boost SEO and keyword rankings at the same time. Also, most B2B organizations already create presentations on industry trends, product updates, and case studies, and this content is prime for boosting engagement, social sharing and viral reach, especially on platforms that are dedicated to presentations, such as LinkedIn SlideShare.

Make Social Engagement a Team Effort

Get company team members involved in a social strategy, urges Berg. After all, people work with people, and a display of your company’s talent and team culture can validate a partnering or purchase decision. Define a theme, outline appropriate content, explain the dos and don’ts of hashtags, make sure to run messaging by legal advisors, and then start with a test of “safe” content, adjusting policies if necessary, she advises. See https://www.marketingprofs.com/articles/2019/41608/seven-ways-b2bs-can-use-social-media-to-boost-conversion-rates-and-generate-leads?adref=nlt080619

Insert Media Offer Cost-Effective Marketing Options

Insert media, direct mail’s less glamorous relative, is also a proven way to reach new customers, and AccuList helps clients place offers in a range of printed insert options such as package inserts; publication “blow-in,” “bind-in” and onsert programs; postcard decks; statement stuffers; and cooperative mailing programs. In the digital space, there also are webserts to qualified online buyers.

Insert Media Virtues: Targeting, Co-Branding, Savings

Insert media programs may seem old-fashioned, but younger recipients actually embrace them. For example, Quad/Graphics research has found that 49% of millennials said they ignored Internet ads, and 48% said they ignored e-mail, but only 25% ignored retail inserts! Or on the flip side, 73% said they paid attention to retail inserts vs. 48% who paid attention to mobile text. Plus, insert media have a number of virtues that make them attractive to direct marketers: They leverage co-branding since offers “ride along” with material from an already trusted source; they avoid postage costs and save on printing expenses; and they offer a targeted audience. So here are some tips for those who want to add insert media to their direct marketing.

The Basics Still Apply: Target and Test

In choosing insert media, the first step is to consider your desired target audience and its match with the demographics and purchase history/interests of the host program. Next, as with any direct marketing effort, test and re-test. Start by testing small but in large enough batches for an accurate reading of response, and make sure there is a large enough universe for future rollout. You can test for both creative/offer and audience category, but if finding the right audience and host program is the goal and the budget is limited, it’s probably better to test four different audience groups/programs rather than four creatives to the same audience/program. Of course, even once a control is developed for rollout, continue to test against it. And be wary of potential audience duplication: Using different programs with the same owner, a package insert and a statement insert for example, might reach the same recipients at different times.

Multi-channel Response and Multi-channel Tracking

Insert media today are usually part of an omnichannel strategy, and recipients of printed materials often prefer to respond by other channels. That means inserts should provide more than one response option: business reply card, 800 number, URL, and mobile QR code. And it means tracking and analyzing results across channels. So make sure to provide a unique code on pieces to track response by program, offer, audience category, insert month/timing. etc. And if you use a mobile QR code, with links to an offer/purchase landing page or a reply/request page, be sure that the online pages are mobile optimized! Because inserts are competing for attention with other offers, your creative needs to stand out in design and messaging, with a clear call to action. Plus, in scheduling insert media, remember that you are at the mercy of the host program’s timings and availability. Plan with seasonality in mind and build in adequate lead times; most insert media campaigns will need to be produced and delivered weeks in advance of program distribution. The payoff in cost-effective reach can definitely make the planning worthwhile, however, as noted in a 2019 article on the value of insert media for niche businesses.

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.

Predictive Analytics Can Harness Data for Marketing ROI

Beyond list brokerage, AccuList can support direct marketing clients with “predictive analytics,” meaning scientific analysis that leverages customer and donor data to predict future prospect and customer actions. It will scientifically “cherry-pick” names from overwhelming “big data” lists and other files. For example, AccuList’s experienced statisticians build customized Good Customer Match Models and Mail Match Models to optimize direct mail results for prospect lists, as well as one-on-one models for list owners to help acquire more new customers or donors. Plus, predictive models aid other marketing goals, such as retention, relationship management, reactivation, cross-sell, upsell and content marketing. Below are some key ways predictive analytics will harness data for better marketing ROI.

More Swift, Efficient and Effective Lead Scoring

Lead scoring is too often a sales and marketing collaboration, in which salespeople provide marketers with their criteria for a “good” lead and marketers score incoming responses, either automatically or manually, for contact or further nurturing. Predictive analytics will remove anecdotal/gut evaluation in favor of more accurate scoring based on data such as demographics/firmographics, actual behavior and sales value. It also speeds the scoring process, especially when combined with automation, so that “hot” leads get more immediate contact. And it allows for segmentation of scored leads so that they can be put on custom nurturing tracks more likely to promote conversion and sales.

Better List Segmentation for Prospecting, Retention and Messaging

With predictive analytics, list records can be segmented to achieve multiple goals. The most likely to respond can be prioritized in a direct mail campaign to increase cost-efficiency. Even more helpful for campaign ROI, predictive analytics can look at the lifetime value of current customers or donors and develop prospect matching so mailings capture higher-value new customers. Predictive analytics also can tailor content marketing and creative by analyzing which messages and images resonate with which customer segments, identified by demographics and behavior, in order to send the right creative to the right audience. Finally, analytics can develop house file segmentation for retention and reduced churn, looking at lapsed customers or donors to identify the data profiles, timing inflection points and warning signs that trigger outreach and nurturing campaigns.

Optimizing for Channel and Product/Services Offer

Data analysis and modeling can also be used to improve future marketing ROI in terms of channel preferences and even product/services development. By studying customer or donor response and behavior after acquisition, analytics can identify the most appropriate promotion and response channels, communication types, and preferred contact timing by target audience. Plus, a customer model can match demographics, psychographics and behavior with product and offer choices to tailor prospecting, as well as upsell or cross-sell opportunities, to boost future results.

Committing to a Good, Clean Customer Database

Reliable predictions require a database of clean, updated existing customer or donor records, with enough necessary demographics/firmographcs and transactional behavior for modeling. So, to prevent garbage-in-garbage-out results, AccuList also supports clients with list hygiene and management, including hygiene matching for DO NOT MAIL, NCOA and more, data appending of variables from outside lists, merge-purge eliminating duplicates and faulty records, response tracking with match-back, and more advanced list screening options.

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.

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.

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