Personalization, Privacy Drive 2020 Data Strategies

Multiple data issues face direct marketers in 2020, starting with data privacy. While many of our U.S. clients are not affected directly by the European Union's General Data Protection Act (GDPR), U.S.-based consumer-data privacy efforts have now resulted in the California Consumer Privacy Act (CCPA), with more legislation on the horizon. Meanwhile, omnichannel data personalization has become essential for targeted response and ROI. Companies face complicated decisions when combining first-party data collection, user-level data from the big digital platforms (Google, Facebook and Amazon) as well as second- and third-party data in ways that balance consumer privacy with smart (and customer-demanded) personalization. A post in AdExchanger by Briggs Davidson, a senior manager at Deloitte Consulting, outlined some key steps for coping. He advises starting with a focus on the customer in collecting, organizing, storing, and activating data across all silos that may need to meet data-privacy compliance. When it comes to first-party data, prepare to shift marketing strategies to ensure consumers have a reason to share their data, delivering value to build trust. Davidson predicts creation of data clean rooms, or a separate analysis space for combining first-party data with platform-level customer data under strict privacy controls. Regardless, marketers will need multidisciplinary teams as well as partner collaboration. Meanwhile, prepare for hyper-personalizaton to drive marketing, according to European digital platform firm Qualifio, which found that 83% of marketers say creating personalized content is one of their biggest challenges. Why? Because personalization now requires: 1) new tools to collect and analyze first-party data for compliance with data privacy regulations like GDPR and CCPA; 2) an omnichannel purchasing journey and analytics for a single customer view; 3) incorporation of new technologies such as voice search (50% of Google searches are expected to be voice searches in 2020); and 4) meeting rising customer standards for personalized promotion and service. In fact, 70% of the customers surveyed want an immediate response to their questions or complaints, which is fueling artificial intelligence (AI) and machine learning (ML) initiatives. This means data quality will be even more key. A Forrester Consulting July 2019 report revealed that while 82% of companies place a high priority on refining data quality, more than a quarter of all marketing campaigns were hurt by substandard data in the last 12 months. Plus, a majority of marketers launching artificial intelligence (AI)/machine learning (ML) initiatives (78%) say these projects have stalled—with data quality as one of the culprits for 96%—according to a new study from Dimensional Research. CMO Kristin Hambelton, of Marketing Evolution, urges marketers in a recent Forbes magazine post to take these basic steps for improved data quality: 1) prioritize data quality and create a comprehensive initiative on data verification, collection and cleansing policies; 2) define and verify high-quality data in terms timeliness, completeness, consistency, relevance, transparency, accuracy, and representativeness; 3) organize disparate data sources with unified marketing measurement for a holistic customer view. For more, see https://www.acculist.com/personalization-and-privacy-trends-highlight-need-for-data-strategy/

Marketing ROI Requires 2019 Data Hygiene Plan

As marketers prepare to launch their 2019 campaigns, they should make sure that a complementary data hygiene plan is in place. Marketers don't want to join the 88% of U.S. companies whose bottom lines are hurt by dirty data, based on Experian research. The top areas impacted by poor data practices are marketing (66% of companies) and lead generation (80% of companies), according to DemandGen. To avoid that fate, marketers need a plan to regularly fix any customer and prospect data that is incorrect, inaccurate, incomplete, incorrectly formatted, duplicated, or irrelevant, plus to enrich the database via appending of relevant missing customer targeting parameters. Pete Thompson, founder of DataIsBeauty.com, has put together a useful primer for developing a data hygiene plan. Start with the basics: Decide what data is important for business decisions and estimate the ROI of data quality improvement. Then review existing data processes: types of data captured, where it comes from and how is it captured, the standards for data quality, how errors and issues are detected and resolved, etc. Other questions include the main sources of errors, methods for validating and standardizing data, methods for appending or combining multiple sources, automation used if any, etc. Without going into detail, the basic steps of the data plan will start with creating uniform data standards, preferably applied at the point of data capture. Then develop a data validation process, applied either when data is captured or, if that is not possible, at regular intervals for data already entered. After data has been standardized and validated, you can append missing fields by cross referencing with multiple data sources. Streamline the process through automation tools and scripts, saving time and money and reducing human errors. However, while it may be tempting to start with automation, Thompson cautions against putting the cart before the horse; success requires having data standards and a proven validation process in place before automating. And then set up a monitoring system of the hygiene process, whether automated or not, via random test samples and back testing, and implement periodic checks. For more detail, see our web blog post at http://www.acculistusa.com/make-sure-you-have-a-2019-data-hygiene-plan/

Are Your Fundraising Plans Ready for 2019 Trends?

Nonprofit marketers making final tweaks to fundraising plans for 2019 may want to do a quick survey of this year’s top trends as identified by fundraising pros to make sure they are ready for all challenges. NonProfit PRO magazine cites three general 2019 trends that will affect both traditional direct mail and digital fundraising via e-mail, mobile, social media and website. First, nonprofits should include a commitment to story-telling in this year’s fundraising communications, the magazine says. Stories create an emotional connection to the mission and are remembered better than facts, studies show. NonProfit PRO urges creation of a story-telling culture via leadership buy-in, a mechanism to regularly encourage and gather stories, a story-banking method and regular and consistent story communications. “Personalization” is another marketing mantra for 2019, with success requiring clean up-to-date data and list segmentation to craft targeted messages for direct mail and e-mail. Finally, put that targeted story-telling into a video format to maximize results in a year when video is projected to represent 80% of Internet traffic. Meanwhile, the Nonprofit Tech for Good blog identifies some key digital trends to include in 2019 fundraising plans: 1) increased use of marketing automation software to create personalized appeals and individualized pathways and engagement with the general mission and specific programs; 2) more focus on a recurring-gift donor base and commitment to engagement strategies and technologies that nurture donors; 3) more relevant, personalized, contextual messaging based on data technologies; and 4) more disruption by commercial social media players like Facebook via removal of fundraising fees, matching funds and direct access to donor data and AI. The TrueSense Marketing blog came up with a whopping "21 Fundraising Trends and Best Practices You Need to Know in 2019" from a survey of fundraising pros. We’ll only cite a couple here, starting with a prediction that the visually oriented Instagram, which hit 1 billion monthly active users in 2018, including the 50-64 and 65+ age cohorts, will become a more popular platform for nonprofits in 2019. Another prediction is that, with data breaches continuing to grab headlines and a patchwork of data privacy regulations at the state level (such as California Consumer Privacy Act passed last summer), nonprofits will face added costs and changes in data collection and storage policies this year. For more, see our full on-site blog post at http://www.acculistusa.com/is-your-fundraising-plan-ready-for-2019-challenges/

Use These Tactics to Weaponize 2019 B2B Data

Targeted, clean data is key to success for business-to-business campaigns. And as they ready to launch their 2019 plans, we urge B2B marketers to take the basic data steps suggested in a recent Martech Today post by Scott Vaughn. Good response and conversion depend on identifying and engaging the right audiences, meaning the right companies and the right decision-makers, 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. Because today's buyers are leery of 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 plan for data as well, 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. Finally, the best data processes won't automatically result in ROI if marketers focus on the wrong metrics. Vaughn reports that high-performing marketing teams use insights with these 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.). For the full post, see http://www.acculistusa.com/weaponize-b2b-data-for-2019-with-these-tactics/

How Data Silos Spoil Marketing Harvests

Silos can be great for agricultural storage, but they spell trouble when we're talking about customer data trapped in company departmental and systems silos. Research shows the magnitude of the problem. For example, a recent blog post by Veriday, a digital marketing company, noted that more than 80% of marketers say data silos within marketing obscure a seamless view of campaigns and customers. And that doesn't even consider data trapped outside marketing in IT, sales, etc. In larger, older companies, many data silos result when outdated processes and separate information systems hamper linkages. Yet silos are not just a big-business issue given the average small business today is using 14.3 different systems, as the Veriday post points out. Yes, information can be transferred between silos via import/export or manual efforts, but this risks duplication, errors, delays, inconsistent hygiene and inaccurate updating--meaning poor immediate ROI and wasted future opportunities from an incomplete and inaccurate picture of customers, campaigns and channel results. In business-to-consumer marketing, data silo risks are growing more acute, stresses a Forbes magazine article by Denise Persson, CMO at Snowflake, a data warehouse firm. She cites Accenture survey results showing that, while the promise of a deal or discount was the top driver of customer loyalty last year, in 2017, 58% of customers find marketing programs that are highly tailored to their needs much more enticing. Marketers can embrace targeted, contextual approaches, but, Persson warns, if each marketing channel--website, social media, e-mail, online ads, direct mail--uses a different set of data to develop a different channel strategy, marketers will end up with a fragmented customer picture delivering a fragmented brand experience! Smart marketers will invest in solutions, such as third-party support, software for content management and marketing automation, and data warehousing. Meanwhile, a blog post by Ajay Gupta, founder of Stirista, a digital marketing agency, points out the myopia of failing to link business and consumer data, especially now that digital media is blurring the line between professional and personal lives. Gupta gives the example of a company that wants to market a personal electronic device by targeting a proven business prospect list with only B2B e-mail addresses. If the company enhances the prospects' B2B info with B2C data, it could expand its reach by sending out e-mails to B2C addresses, direct mail to home addresses, online display ads via digital cookies, plus targeted social media ads! Linking B2B and B2C data is also a great tool for onboarding and creating social media custom audiences, per Gupta. For more detail, see http://www.acculistusa.com/how-b2b-and-b2c-data-silos-spoil-marketing-harvests/