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/

Many Publishers Not Fully Mining Audience Data

Business periodical marketers come to AccuList USA for help with audience building via multi-channel campaigns, but as data experts, we'd like to remind them that their audience data offers other revenue streams worth mining. Most publishers know that targeted audience data is key to competing for ad dollars; for improved subscriber response via personalization; and for better targeted content marketing. A recent Adweek article by Jason Downie suggests several other ways to monetize audience data. Downie urges publishers to build “off-the-shelf” audience segments that can be sold directly to advertisers, for example. Consider how a seminar promoter could use a business magazine's data if the publication built an audience of people interested specifically in his topics or proven seminar buyers; the advertiser would be able to enjoy the benefits of tapping not just a business-engaged audience but a strategically targeted set of potential buyers more likely to convert. Audience segments can also offer insights that can be further monetized. For example, analytics could show that seminar attendees are four times more likely to share content online. That makes them online influencers, and since influencers are extremely valuable, the publisher can demand a higher CPM. Additionally, an audience segment can open the door to new advertisers and marketers, including non-endemic spending. A business publisher's analytics may show a subscriber segment visits golf sites as well as the magazine site, for example. The publisher can now woo clients looking to target "golfers." Another way publishers can take advantage of data is in the RFP process, according to the Adweek article, noting that the average publisher spends up to 1,600 hours per month, or 18% of revenue, responding to advertiser RFPs. Publishers can develop a customized response to an advertiser RFP, starting with first-party data to build out the RFP-requested audience and then enriching that database with third-party data appending. Digital campaigns can expand targeting by adding lookalikes. Author Downie advises running a portion of an ad campaign without audience or contextual targeting to identify additional audiences, interests, actions and behaviors of those who respond well to the campaign but were not included in the initial targeting. Still another option for publishers with high-quality audience data is to sell it as "second-party data," either directly to another company through a second-party data exchange or through a programmatic data exchange. And, of course, subscriber lists can be monetized as "third-party data," earning regular rental revenue on the open market and via data brokers. For more detail, see http://www.acculistusa.com/many-business-publications-fail-to-fully-mine-audience-data/

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/

Addressing 'Big Data' Issues in Agency Agreements

The era of "big data" has created both greater opportunities and greater complications for marketers in terms of access and use of data. In fact, Advertising Audit and Risk Management (AARM), a North American provider of independent advertising audit and consulting services, recently urged advertisers and marketers to review agency contracts to make sure they address evolving "big data" issues. Data can drive a precisely targeted marketing strategy by leveraging insights from transactional and customer behavioral data--assuming that the advertiser has the right to receive and use that data. Based on their experience, AARM cites at least six key, but often unanswered, data questions that should be covered in contracts: Who owns the data; where the data is stored; how long the data is stored; how secure the data is; whether the data is kept separate from that of other advertisers; and whether the data is being used to aid other advertisers. AARM points out that data ownership is not automatically ceded to an advertiser or marketer despite investment in a media buy generating a data stream. Many within the media chain may try to claim the generated data: Ad agencies, trading desks, publishers, demand-side platforms, and third-party ad servers all may seek unrestricted access, if not ownership, of valuable customer data. That's why marketers and advertisers need to be sure that legal agreements clearly and consistently spell out data ownership rights, privacy considerations, security and access rights for first-, second- and third-party data. For more, see the full post at http://www.acculistusa.com/what-data-questions-should-agency-agreements-address/

Study: Customers Not Recognized Across Channels

Just 9% of marketers say they can consistently recognize customers across media channels, according to the MediaPost report on a new white paper published by the Data & Marketing Association (DMA). The study, conducted by Winterberry Group, is based on interviews with marketers from about 120 organizations. Per the MediaPost story, the study did find that companies have improved how they provide the same brand experience across channels, with slightly more than 77% of participants claiming to coordinate the delivery of content across all the media channels extremely well, fairly well or to some extent. But since most companies are marketing to devices not people, the challenge has been recognizing the same customers as they cross devices, for example going from search to catalog, or from mobile to in-store. Companies do realize that there is a problem per the survey, with some 72% of those participating identifying audience recognition as a "moderate" or higher priority. And when asked what would help to advance their organization's efforts to better recognize addressable audiences across marketing media, better aggregation and management of data, cited by nearly 48% of marketers, led the top five solutions. For more statistics from the study and for a link to download a free white paper copy, go to full blog post at http://www.acculistusa.com/blog/