Personalization and Privacy Trends Highlight Need for Data Strategy
As data brokers, the AccuList team keeps a close eye on the many issues affecting the data strategies of our direct marketing clients. Data privacy is going to be one of those issues. 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 other states likely following that model and federal legislation on the horizon. Regulation is only one of the data complications facing marketers now that omnichannel data personalization has become essential for targeted response and ROI. So what strategies will help prepare for data market changes in 2020?
Data Privacy Demands Customer Focus Across Silos and Sources
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 with a marketing data landscape that now includes regulation like CCPA. 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, such as marketing and IT. Then 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 before usage. Marketers also will need an even closer embrace of media analytics to support a unified customer view, and use of new tools, such as Google’s Ads Data Hub. Finally, marketers will need multidisciplinary teams—for example Google’s upcoming restrictions on DoubleClick ID will boost the need for tech pros for unified customer views within Google—as well as partner collaboration in collecting and storing customer data.
Personalization Power Is Driving Marketing Data Trends in 2020
Hyper-personalizaton is expected to drive data marketing in 2020, according to a useful infographic put together by 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. Marketers surveyed are already moving to meet personalization challenges, with 78% of European companies completing a GDPR compliance assessment and 65% using omnichannel efforts to personalize customer journeys, per Qualifio’s data. For those U.S. marketers still hesitating to commit to personalization, check out these statistics on improved response, ROI and brand loyalty for e-mail, mobile, e-commerce and digital ads. Direct mail personalization, from name-only to variable images and text, has a proven track record of success, too; in fact, a 2019 survey by NAPCO Research found 44% of responding marketers said personalized direct mail increased response, on average, by 16%.
Data Quality Key to Privacy, Personalization, New Tech Initiatives
Data quality will be even more key to data strategy in 2020. It is paramount in meeting consumer data privacy regulations, for example, where validated contact data is required to avoid consequences ranging from compliance penalties to brand damage. Effective omnichannel, targeted marketing also requires data quality. 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, the high-tech analytics and artificial intelligence (AI)/machine learning (ML) that marketers count on to boost personalized customer interaction also depend on data quality. A majority of enterprises engaged in AI/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. That’s why CMO Kristin Hambelton, of Marketing Evolution, urges marketers in a recent Forbes magazine post to take these basic steps for improved 2020 data quality: 1) prioritize data quality and create a comprehensive initiative that includes not only processes and technology but defined positions responsible for 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, breaking down silos to develop a holistic customer view across sources and channels, and to form actionable insights.