Mobile, AI Trends Impact E-mail Marketing

E-mail marketers can expect to ride some positive trends into 2020, according to e-mail pros. While continuing to top other channels in terms of ROI, e-mail marketing in 2019 also showed improved delivery rates, rising open rates and increasing click-through-rates, per UK-based Data and Marketing Association. Digital marketing platform Smart Insights recently turned to several experts to find top strategies to help leverage the positives this year. The impact of mobile usage on e-mail can't be underestimated. In 2019, mobile browsing (53% of traffic) surpassed desktop/tablet browsing (47% of traffic), notes Smart Insights. And while mobile still lags in terms of purchase revenue (32%) versus desktop/tablet (68%), it's growing fast, with a 23% year-over-year increase that has helped accelerate mobile optimization across digital channels. Data from Litmus shows that mobile devices also led in e-mail opens (41.9%) compared with desktop opens (18.2%) by Q1 of 2019. Coding e-mail creative for a mobile-viewing format is only the beginning. Changes to copy, images and overall layout can boost click-through by streamlining presentation to place the focus on quick engagement and CTA links, note experts. Concise copy with enough white space for easy reading is a first goal. Other tips include using image dimensions that are small enough to render well and placing images on the "first fold" to encourage scrolling. Using e-mail design with short copy not only leads to quick scanning but also allows the call-to-action (CTA) to be seen early and avoids excess scrolling that loses click-throughs. Finally, make sure that e-mails are rendering correctly across all types of devices, a testing option offered by most e-mail service providers. Artificial Intelligence (AI) is coming of age in marketing, including e-mail campaigns, with 87% of current AI users say they are planning on using it for sales forecasting and e-mail campaign enhancement, per Statista. Connext Digital foresees seven ways that AI will begin to influence e-mail marketing: 1) applying algorithms and data insights for predictive personalization; 2) analyzing demographics, purchasing patterns and online behavior for smarter segmentation; 3) automating workflow for e-mail triggering, tailored messaging and lead nurturing; 4) using natural language technology to find the best words for response optimization of subject lines and CTAs; 5) improving e-mail timing and frequency by specific recipient;6) A/B and multivariate testing to quickly identify trends and develop predictive results; and 7) developing data to enhance broader analyses, for example to predict potential churn. Privacy regulation is another factor for e-mail. Cold e-mailing, spamming and phishing have tainted e-mail’s reputation among consumers (and marketers), but recent privacy regulations, including the European Union's GDPR and California's CCPA, have spurred the e-mail marketing world to go beyond CAN SPAM to focus on privacy, compliance and subscriber trust. See our full website post at https://www.acculist.com/mobile-ai-highlight-e-mail-marketing-trends-for-2020/

Avoid These Segmentation Errors for Max List ROI

List segmentation is key in targeted direct marketing, and 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, identifies some of the common strategic errors. First, 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." 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. One outcome of segmentation based on existing customers or surveys of people marketers assume are the right targets is blindness to potential audiences that Markel calls "ghost segments." 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 segments more efficiently, and then plug segments into a data management platform for insights on other products, services, interests, and media that may correlate. Finally, Markel stresses that a segmentation study will fail to live up to its ROI potential unless it informs the whole organization. Customer and prospect insights have relevance for multiple departments and teams, from sales to customer service to finance. Markel suggests creating 360-degree customer personas and promoting them throughout the organization via workshops and periodic team updates on results. For more, see https://www.acculist.com/avoid-segmentation-missteps-to-boost-list-roi/

Use Predictive Analytics to Harness Big Data Power

Predictive analytics, meaning scientific analysis that leverages customer and donor data to predict future prospect and customer actions, can scientifically "cherry-pick" names from overwhelming "big data" lists and other files. For example, at AccuList, 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 can aid other marketing goals, such as retention, relationship management, reactivation, cross-sell, upsell and content marketing. One of the benefits of analytics is improved lead scoring, for example. 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. In fact, 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. Data analysis and modeling can also be used to improve future marketing ROI in terms of channel preferences and even product/services development. Of course, reliable predictions require a database of clean, updated existing customer or donor records, which AccuList also supports via its list hygiene and enhancement services. For helpful links, see https://www.acculist.com/predictive-analytics-harnesses-data-for-marketing-roi/

AI, Data, Culture Impact Incentive Products Trends

Incentive and recognition products marketers should take a look at The Incentive Research Foundation’s “IRF 2019 Trends Study” for tips on where the market is headed this year. 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. So 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%). 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, and e-gift cards gaining momentum. 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." For more, see https://www.acculistusa.com/ai-data-talent-culture-boost-incentive-recognition-impacts/

Business Trends Drive Recognition & Incentive Sales

AccuList USA recently completed proprietary research on hundreds of top performing lists of employee recognition and incentive product buyers to support clients in a business-to-business marketplace that now encompasses close to 90% of companies. In fact, the 2017 "Trends in Employee Recognition" report from WorldatWork, a nonprofit human resources association, found 89% of surveyed organizations committed to recognition programs, with 65% offering between three and six different programs, from companywide (81%) to individual (69%) to department/team (67%). Certificates and/or plaques remain the most awarded recognition item, at 80% of respondents, followed by cash (55%), gift certificates/cards (45%), company-logo merchandise (40%), and food, such as a lunch or pizza party (39%). For incentive and recognition marketers, targeting can mainly focus on two departments responsible for administering programs: human resources (59%) and compensation (22%). Now, the Incentive Research Foundation's "IRF 2018 Trends Study" offers recognition and incentive marketers more guidance on changing demand trends. For one, predictive analytics, artificial intelligence and augmented reality capabilities will be a "fundamental requirement" for vendors and suppliers looking to partner with incentive professionals in 2018, per IRF. Marketers also will want to push wellness messaging, since more incentive professionals are adding health and wellness components focused on fitness, food, and comfort to their incentive programs this year compared with other features, says the report. And when it comes to merchandise products, incentive buyers in 2018 don't want more choice as much as more "impactful products," such as products with local sourcing or organic roots and products that can be easily personalized and customized. The desire to build a brand-asset culture around intangibles, such as innovation, as well as traditional assets is one factor pushing these non-cash awards in 2018, notes the report. On the other hand, gift cards will continue to gain momentum this year, according to the IRF, which says mid-size firms spend an average of nearly $500,000 annually on gift cards across all programs, while large ones spend over $1 million annually. Finally, although incentive travel makes up a small part of the recognition pie, the incentive travel industry's net optimism score for the economy is up almost 20 points from 2017 in the IRF report, leading to budget increases despite rising costs. For more on top incentive trends, see our website blog post at http://www.acculistusa.com/2018-recognition-market-tech-partnering-wellness-non-cash-awards/

AccuList USA Fetes 20 Years As Data Broker

AccuList USA® celebrates a 20th anniversary this June in a very different place from its start as a traditional direct mail list broker and manager. As a member of the Data & Marketing Association and the Association of Fundraising Professionals, and as an SRDS-recognized mailing list and insert media broker and manager, it has successfully adapted to successive marketing challenges—including the rise of e-mail and social media, the digital flood of “big data,” and today’s complex omnichannel marketing strategies. AccuList USA has distinguished itself by embracing new marketing tactics and by identifying rentable prospect lists that conventional data brokers ignore, including exclusive second-party data on active customers and donors. Its clients also benefit from first-party data enhancement for improved monetization. AccuList USA relies on predictive analytics and proprietary mailing research to select the best names from individual lists as well as from multimillion-name compiled “big data” and modeled cooperative databases. AccuList USA goes beyond merely supplying data and helps business and fundraising clients attribute omnichannel marketing results, so that they can effectively measure campaign success and the costs to acquire a new customer or donor. The focus is always on sales or gifts, not just open rates, page views, and clicks. Its data pros even track which postal and e-mail lists perform best for leading marketers in designated vertical markets. Over the past two decades, AccuList USA has helped 1,000s of companies and non-profit organizations to further monetize their data and acquire new customers and donors in the following verticals: Catalog & Ecommerce; Fundraising; Insurance; Museums & Zoos; Performing Arts; Pet Owners; Publishing; and Trade Shows & Conferences. AccuList USA and its corporate parent AccuList, Inc., are headquartered in San Antonio, TX, but serve clients targeting businesses, institutions, and affluent consumers nationwide and in several foreign countries. For more on AccuList USA and its omnichannel postal, e-mail, and digital marketing services, visit http://www.acculistusa.com/

Survey: Marketers Bank on Personalization Success

Senior marketing professionals are optimistic about the success of their personalization strategies, according to a survey of senior marketers from the CMO Council and Microsoft. As recently reported by MarketingProfs, 26% of the 179 marketers interviewed said they were totally confident in how their companies approached personalization. Another 49% were "hopefully optimistic" about personalization results. The marketers were primarily business-to-business focused (48%), with 18% in business-to-consumer marketing and 34% involved in hybrid B2B and B2C marketing. When asked what criteria they thought would be key to personalization success, 37% of respondents cited a unified view of the customer, 29% counted on an omnichannel approach, 22% stressed flexible tools to enable engagement, and 12% listed predictive analytics as essential. Download the white paper for more details at http://www.cmocouncil.org/current_program_details.php?pid=139