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Prep for 2020 Marketing With Clean, Personalized, Predictive Data

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

Data Hygiene Issues Remain a Priority

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

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

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

Taking Data Insights From Retroactive to Predictive

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

 

New Survey: Online Marketing Pumps Offline B2B Sales

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AccuList’s many business-to-business marketers—including business/industrial supply catalogs, business periodicals, trade shows, and recognition/incentive products—should be investing in a 2019 omnichannel marketing plan to maximize the online impact on offline buying, at least according to the latest research from Boston Consulting Group and Google. An optimal, best-practices mix of digital engagement channels—such as search, display, video, social media, e-mail and websites—with traditional print catalogs/mail, sales calls and brick-and-mortar stores can increase the marketing contribution to sales by 3% to 8%, BCG has found.

Decision-Making Starts Online, Even for Offline Buys

On average, two-thirds of B2B buyers of industrial machinery, industrial supplies, and packing and shipping products and services indicated in a new BCG survey that their purchase decisions had been significantly influenced by digital, even though the majority of buying journeys end with an offline purchase. The survey revealed that some 58% of industrial-machinery purchases were significantly influenced by online activity, even though 100% of the purchases were made offline. For industrial supplies, 88% of buyers performed some form of online research prior to purchase, while 69% then purchased online and 31% purchased offline. Packing and shipping buyers were more evenly divided in online-offline buying preferences, with 54% digitally influenced, 42% purchasing online and 58% buying offline. But it is the differences underneath the online influence data that reveal the opportunities for boosting sales. For example, spending to boost online branding ads/engagement can pay off when 75% of online industrial machinery researchers said that they consider two or more brands at the start of their buying journeys, compared with 55% of those who engage in offline research only. At the same time, 58% of industrial-machinery buyers said that they begin their online search with a product, rather than a brand, in mind. For these researchers, the manufacturers’ websites become primary points of influence.

Nurtured Online Researchers Make More Follow-up Purchases

One of the more encouraging findings in the BCG study was that online business researchers make more follow-up purchases, especially if there is engagement post-sale. When manufacturers of industrial machinery engage their customers digitally after an initial sale, those customers are three times as likely to research supplementary products, twice as likely to purchase them, and three times as likely to repurchase the product. Buyers of industrial supplies engaged digitally post-sale are eight times as likely to purchase a supplementary product of the same brand and twice as likely to repurchase the same product. Effective after-sales digital marketing activities include promoting online account sign-ups, encouraging app downloads, maintaining regular contact through e-mail or “nurture” communications, and ensuring a positive overall customer experience with the product or service.

Measurement Is Key for an Optimal Online-Offline Mix

For the best marketing return on investment, B2B marketers need to measure impacts and influences across the entire buying journey to connect digital marketing expenditures and tactics to offline sales. BCG found that measurement innovators use a variety of techniques—such as customer research, marketing-mix modeling, multi-touch attribution modeling, matched-market testing, and direct match-back approaches. For example, multi-touch attribution (MTA) is a modeling approach that attributes sales to the marketing activities that contributed most directly to revenues, using predictive models and artificial intelligence to derive statistics-driven attribution weights.  Direct match-back uses unique identifiers to tie a sale directly to the marketing activities that generated it at the individual or transaction level. Unique identifiers include credit card information, mobile tracking, in-store beacons, cookies, e-mail addresses or phone numbers.

Read more of the BCG study for survey details and success examples. And ask the AccuList team how we can help via our range of digital marketing services and Digital2Direct program, which combines targeted direct mail with social media ads or e-mail.

Weaponize B2B Data for 2019 With These Tactics

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Targeted, clean data is a key deliverable of AccuList USA’s data services and list brokerage efforts for business-to-business marketing clients. And as those clients prepare their 2019 plans, we urge them to take basic steps to ready their data-driven marketing for maximum performance. A Martech Today post by Scott Vaughn sets the stage by recommending five essential data-oriented strategies for B2B.

Precisely Defined Audience Targets Using Clean Data

Good response and conversion depend on identifying and engaging the right audiences, meaning the right companies and the right decision-makers within those companies, Vaughn reminds. To target that right audience requires processes for capturing critical data about prospects, customers and their purchase journey with precision, he asserts, and recommends a strategy of starting with a smaller universe of accounts and roles to more precisely define best targets–and then testing and using advanced strategies, such as predictive marketing and intent-data modeling, to expand to more accounts and buyers. But that kind of data targeting only works if marketers are looking at quality data, so data hygiene is another necessity. When a recent DemandGen survey finds that more than 35% of the data in existing databases is unmarketable on average, avoiding wasted dollars means instituting a “get clean, stay clean” data-hygiene effort for 2019, Vaughn urges. The hygiene regimen should include regularly auditing of data-capture processes and sources, using filters before data can enter the database, and maintaining a cleansing process to eliminate records that are invalid, non-standardized, duplicate or non-compliant.

Permission-Based Trust and Speedy Follow-up

Because today’s buyers are leery of companies and brands that don’t treat their information with care and because stringent data-privacy laws are being deployed around the globe, B2B marketers must have a proactive permission-based marketing plan for their data, warns Vaughn That includes asking for opt-in everywhere and having very visible, clear explanations of how behavioral data, such as website cookies, is used. Meanwhile, prospects and customers have not only come to expect data privacy, they have become used to the rapid, real-time response of the digital market. Yet for many B2B campaigns, it takes two or three days to follow up on a lead or inquiry, or even seven or eight days just to get leads loaded into marketing automation or CRM software! Vaughn proposes a concerted effort to speed data handling by identifying areas where data can be routed faster and reaction time reduced and then initiating sales and marketing training on speedier handling at each stage of the customer journey. That’s why many executive teams now prioritize a measure of “pipeline velocity,” meaning the time from when an opportunity is created to when the deal is closed, to improve revenues.

Agreeing on Measurements That Matter

Accurate, targeted, speedy data processes don’t automatically result in ROI improvement, however–not if data analysis ends up focused on the wrong metrics. Vaughn reports that high-performing marketing teams use insights with these key ingredients: agreed-upon key performance indicators (KPIs); tools that can measure performance; and easy-to-use dashboards that can help all stakeholders (marketing, sales, execs, etc.) make smarter decisions. For his complete article, see https://martechtoday.com/5-essential-strategies-b2b-marketers-must-master-in-2019-228066

Industrial Marketers Bet More on 2018 Direct & Digital

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AccuList USA has a long track record of helping warehouse, industrial and back-office product marketers via data brokerage, predictive analytics and multi-channel direct marketing, and we’ve learned some important lessons along the way.

Industrial & Tech Marketing Budgets Expand in 2018

The good news is that many industrial marketers were inspired to expand investment in 2018. According to the “2018 Budget Trends in Industrial & Technology Marketing” report published by engineering.com, industrial marketing budgets in 2018 are expected to hit “the highest levels of growth (45%) and the lowest reported levels of shrinking budgets (4%), of any of the last five years.” More than half (54%) of manufacturing marketers expect their budget to be larger in 2018.

Quality, Targeted Data Is Key to B2B Direct Marketing

But expanded multi-channel spending still needs to be smart spending. As data brokers, we can’t overemphasize that successful B2B direct marketing–including direct mail, print catalogs and e-mail campaigns–starts with quality, targeted data. Marketers can boost response by using predictive analytics and buyer profiles to target–and then opt for the rental lists of active product inquirers/buyers that our proprietary list research finds to be top performers in each vertical. Targeting the right message to decision-makers in the buying process is also key; with product and industry factors affecting whether to select a chief engineer, purchasing manager, warehouse manager, human resources chief, or C-suite executive in mailing lists.

A Digital Strategy Is Now Essential for Leads and Sales

While direct mail continues its response leadership, there’s no denying that most B2B buyers are digital shoppers today. Research by Acquity Group finds 94% of B2B buyers say they conduct some form of online research before purchasing a business product, for example. Forrester Research has found that 59% of B2B buyers prefer not to interact with a sales rep, and 74% find buying from a website more convenient. That makes digital catalog sites into essential sales tools, giving customers the option to browse product, pricing, and inventory information in real-time and then self-serve. Of course, online traffic-building requires a good search engine optimization (SEO) strategy given that 73% of global traffic to B2B companies comes from search engine results. But most successful B2B marketers also invest in paid digital efforts. In fact, a 2015 study by Content Marketing Institute, MarketingProfs, and Fathom found that manufacturers ranked search engine marketing highest among paid marketing options in terms of efficacy (52%) and promoted social media posts came in second (39%).  For social media ads, B2B marketers see video as a top response tactic, which is why manufacturers in the study ranked YouTube as the most effective social media site, followed by LinkedIn ads, which AccuList USA supports. Take a deeper dive into the core elements of digital industrial marketing with this post by gorilla76, a B2B consulting firm.

 

 

 

Shoppers Demand Seamless Omnichannel Retail Strategies

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Omnichannel marketing is the rule for today’s retailing. While print catalogs continue as a vital merchant tool, with 42% of households reading catalogs per the U.S. Postal Service, integration of multiple channels–including online, mobile and social with direct mail–is now essential to our catalog and e-commerce clients’ success. Unfortunately, while the majority of consumers expect to shop seamlessly across all those channels, only 7% of retailers provide the unified “start the sale anywhere, finish the sale anywhere” experience that customers want, per the recent “2018 Customer Experience/Unified Commerce Survey” by BRP Consulting, a retail management consulting firm.

Omnichannel, Cross-Device Shopping Is Now the Norm

Marketers just can’t afford to ignore that the majority of shoppers now interact with promotions, educational content and purchase services via multiple channels and devices. According to the same BRP study, three in five (62%) consumers surveyed said they check online reviews/ratings before visiting a store, yet just 61% of retailers offer consumer product reviews for research! Shoppers now rely on mobile to continue the digitally supported buying process in-store, with nearly 60% of shoppers looking up product information and prices while using their mobile phones in stores, per Retail Dive’s 2017 Consumer Survey. Also per BRP, nearly three out of four (73%) of consumers want the ability to track orders across all points of interaction, going beyond an estimated delivery date to include when the order is being prepared, date shipped from the warehouse, etc. Plus customers expect an automated return process, with 68% of consumers surveyed telling BRP they are more likely to choose a retailer offering an automated returns process.

Analytics Need Complex Channel/Device Attribution

Merchants can leverage customers’ cross-device penchant to optimize acquisition and conversion, argues a Direct Marketing News article by Pierre DeBois. But they must keep in mind that, while the opportunity to boost ad frequency and content persuasion across channels is huge, smart management is required to avoid turning targeted promotion into a bludgeon. As Bill Kee, Google’s group product manager for attribution, highlighted at the 2017 Google Marketing Next conference, “If I am on three devices, and if I see your ad five times, it means you’ve reached me 15 times…believe me I get it.” The first place to start is good omnichannel analytics to understand the contribution of each channel to ROI and its place in the customer journey. Only then can merchants cost-effectively tailor targeting and investment to maximize sales. One useful analytics tool is Google’s Unique Reach report, which displays digital ad frequency metrics across devices, campaigns, and formats to measure how many times a person views a given ad, and combines attribution influences from AdWords, DoubleClick, and Google Analytics, suggests DeBois.

Using Images and Chat to Direct the Customer Journey

Good omnichannel analytics also can improve use of image and video content to maximize the proven effectiveness of image/video in digital engagement, to answer the customer demand for education, and to direct prospects through the sales funnel. However, quantities of images bombarding customers across multiple channels can overwhelm and confuse, so both media curation and a content mapping strategy aligned to the customer journey are needed. One example of a targeted image strategy is use of an “image story” feature on a social media platform to orchestrate images and/or a short video, notes DeBois. Pinterest Lens, Instagram Stories, and Twitter Moments are all image story features. Because the majority of consumers research products and services online now, marketers also can gain an edge over competitors by offering customer-facing elements such as chatbots. In contrast to apps, which may be used only for a few discrete tasks and then ignored, a chatbot’s programmable assistance can provide both engagement and continuing response performance improvement.

For more, see the Direct Marketing News article.

Skeptical of Marketing Tech Buzzwords? You’re Not Alone

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To help support direct marketing clients, AccuList USA tries to keep up with the latest in marketing technology and tactics, and so we’ve been bombarded along with clients by advice on how to seize opportunities with personalization, “big data,” omnichannel, real-time marketing, and, most recently, artificial intelligence (AI). Marketers struggling to find room in real-world budgets often worry that they’re falling behind in an escalating martech arms race! New research by Resulticks—a survey of over 300 marketing pros across industry verticals—offers interesting perspective.

Big Expectations: Big Data and Personalization

“Big Data” was the hot topic at the 2013 DMA Annual Conference, with 50% of marketers enthusiastic about investing. But making practical sense of those data torrents turned out to be more difficult than expected. Resulticks finds that only 16% of today’s marketers have fully implemented big data solutions, 20% have given up on the concept, and just 27% rank big data as a top priority now. Part of the problem is overhyped, underperforming martech platforms, per the survey, with 21% of marketers complaining that vendors overpromise and underdeliver. In contrast, personalization—meaning targeting that goes beyond basic attributes such as name to deeper parameters such as purchase history and online behavior—has done better in fulfilling expectations, with 60% of today’s marketers reporting full or partial implementation. The only fly in the ointment: Tech investments have not always kept pace with enthusiasm, and only 20% rate their software ability to deliver personalization as “excellent.”

Technically Challenged: Omnichannel

Back in 2014, one study found almost half of retailers saying they were going to commit to an “omnichannel” approach. Unlike multichannel marketing, where marketers touch customers at multiple points on their journey, the ambitious goal of omnichannel marketing is to create a seamless customer experience across all channels. Resulticks finds that only 9% of today’s marketers describe their approach as omnichannel, compared with 63% who use a multichannel approach. Technical barriers explain omnichannel’s failure to thrive. Only 35% have fully or partially implemented the required software platforms for omnichannel, and, among those who have bet on platforms, 58% rank vendor execution as “poor” to “fair” (compared with 13% who give their omnichannel software “excellent” marks).

Enthusiastic Embrace: Real-time Marketing

There’s a better report card for the “real-time marketing” that rapidly uses data across channels for more timely, targeted engagement in the customer journey. Resulticks reports that 49% of marketers rate their real-time marketing ability as “good” to “excellent,” that half say they have fully or partially implemented real-time marketing solutions, and that 47% say real-time is a priority for their organizations today. However, many marketers may need to adjust their definition of “real-time” if they want to compete for customers’ expectations; 47% are defining real-time as responding in an hour or more (with 20% taking a day or more), compared with the 12% delivering true real-time response in the milliseconds.

New Kid on the Block: AI

Social media giants have been betting on AI, and marketers are following their lead, with one study showing more than 50% planning to adopt AI in the next two years. However, Resulticks’ survey finds almost half (47%) of the marketers polled already rate AI as overhyped. Here’s a big source of that skepticism: 43% of marketers believe martech software vendors overpromise and underdeliver, and 69% rate their vendors’ ability to execute AI as “fair” to “poor.”

To download the study report, go to https://www.resulticks.com/marketingflabtofab.html

2018 Digital Marketing Trends: Technology, Targeting, Tactics

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Digital marketing continues to experience rapid changes. AccuList USA will be helping clients navigate this year via quality data, data services and other support efforts that take into account 2018 digital marketing trends recently outlined by Forbes magazine’s Forbes Agency Council.

Technology Drivers: AR, Conversational Interfaces, Video

The first of the article’s 15 trend predictions is continued growth in the use of Augmented Reality (AR), per Chris Carter of Rep Interactive, as mobile devices become more powerful, social apps improve AR integration, and, we would add, traditional print, from direct mail to ads to labels, also embraces AR. Meanwhile, the popularity of  conversational interactions will offer new opportunities and challenges, per a couple of council members—such as Amazon’s Alexa, Google’s Assistant, Microsoft’s Cortana, chatbots and more. Now that Google says 20% of its mobile queries are voice searches and usage set to climb further, marketers will need to create content targeting these types of searches and ads for non-traditional venues (such as sponsored smart-fridge recommendations), predicts Brett Farmiloe of Markitors. Video was a big story in 2017 and is now seen as a basic of success for 2018 marketers, per several Forbes council members. It also means that marketers will face a higher bar in terms of quality. As social media platforms jump into live video and add features, “the shaky, holding-a-phone-in-your-hand live video won’t be acceptable anymore,” warns Thomas Brodbeck of Site Strategics.

Targeting Goes Hyper: Personalized & Contextual

Most marketers agree that the days of impersonal e-mail blasts are done. So what’s ahead in 2018? Marketers will be focused on hyper-targeting and personalizing every interaction, forecast several experts. Watch for personalized landing pages connected to each advertising campaign, for example. The need for unbiased targeting, predictive analytics and budgeting at every step of the customer journey also will increase use of application programming interfaces for machine-learning algorithms, natural language processing and artificial intelligence, opines Douglas Karr of DK New Media. And as data protection regulation increases, ad tech vendors will need to go beyond tracking behavior with cookies to contextual targeting strategies based on page content, adds Julien Verdier of Adyoulike.

Some Tactics Keep Their Buzz, and Some Fade

“Influencer marketing” had marketing buzz in 2017, but Craig Greiwe of Rogers & Cowan predicts that 2018 will see a collapse of interest because brands that spent big on influencers haven’t seen measurable results. He expects brands instead to “zero in on a few select individuals who drive results or move to organic grassroots promotion, and away from high-cost, middle-tier influencers who drive awareness but little ROI.” Content marketing, meanwhile, will remain a key part of the marketing tool box—but with some changes. New formats, video, and voice search are ending the focus on blog posts and listicles and pushing marketers toward featured snippets, interactive spoken tutorials and integration with User Interface features, says Kristopher Jones of LSEO.com. In the crowded online grab for engagement, native advertising will retain appeal, too, per Timothy Nichols of ExactDrive, Inc., helping marketers to expand viral sharing and develop a more involved relationship with target markets.

For more trend predictions, see https://www.forbes.com/sites/forbesagencycouncil/2017/12/18/how-digital-marketing-will-change-in-2018-15-top-trends/#464141092d9a

Effective Cross-Channel Marketing Requires New Tactics

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AccuList USA embraces multi-channel marketing for broader, deeper and more nuanced audience reach–but we also recognize that, without careful planning, there is a risk of counterproductive ad frequency and confusion.

Untangling Cross-Channel Confusion

At the recent 2017 Google Marketing Next conference, Bill Kee, Google’s group product manager for attribution, is quoted giving a powerful illustration of how a multi-channel campaign can saturate the market: “If I am on three devices, and if I see your ad five times, it means you’ve reached me 15 times….believe me I get it.” So how can marketers improve performance given today’s complex, interconnected channel usage? In a recent Direct Marketing News article, Pierre DeBois, founder of digital analytics firm Zimana, suggests several tactics for better cross-device/cross-channel effectiveness. First, DeBois recommends using cross-channel/cross-device analytics in place of traditional last-click attribution or channel-to-channel comparison. The goal should be to see the complete picture of channel contributions to ROI at each step of the customer journey, he advises. An example is Google’s new Unique Reach report that displays digital ad frequency metrics across devices, campaigns, and formats to measure how many times a person views a given ad. The report combines attribution influences from AdWords, DoubleClick and Google Analytics.

Content Curating and Chatbot Support

It is a new marketing axiom that videos and images are great response-getters for digital media. But multiple cross-channel/cross-device campaigns can visually overwhelm and confuse customers, too. DeBois advises marketers to locate videos and images in a content mapping strategy so they can understand how their media aligns with each step of the customer journey. Plus, they should curate media by carefully selecting and orchestrating images, videos and messages in order to help customers understand products and services. One helpful curating tool is the “image story” feature on social media platforms, including Pinterest Lens, Instagram Stories, and Twitter Moments. Another option for providing a consistent customer story across channels is to employ chatbots, DeBois suggests. Chatbots offer programmable assistance, powered by rules and sometimes artificial intelligence, to interact with customers via a chat interface, auditory or textual. Chatbots are often found in recommendation engines and can increase customer engagement through a series of questions and responses. Among the many chatbot services, DeBois points to those built for Facebook Messenger as most useful for businesses with a strong social media audience. Amazon Lex is another option for building and managing conversation bots. To read his article: http://www.dmnews.com/mobile-marketing/how-to-make-media-more-effective-for-cross-device-marketing/article/669602/