U.S. Marketers in Europe Wrestle GDPR Data Compliance

AccuList USA supplies data and direct marketing services to organizations with international as well as domestic reach. Starting this May, any U.S. marketer targeting actual or potential customers in the European Union (EU) countries must navigate a changed data landscape thanks to the new General Data Protection Regulation (GDPR). It doesn’t matter if the brand, marketer or data processor is based in the U.S.; strict compliance is mandatory. And shrugging off new data rules is a very costly mistake. Noncompliance can mean a fine equal to 4% of global annual revenue!

GDPR Seeks to Protect Personal Data

The intended purpose of the regulation is protection of non-anonymized personal data, and compliance is required of any company (or organization) that stores or processes that personal information about individuals (“data subjects”), who are defined as European citizens residing in an EU state. The protected personal data includes:

  • Name, address, and phone number
  • IP address and cookies
  • Racial identity
  • Religion and religious affiliation
  • Health and genetic data
  • Biometric data
  • Sexual orientation and gender preference
Individuals Have New Data Rights

GDPR’s regulated “data controllers,” who determine data processing, or “data processors,” who handle data on behalf of data controllers, must respect key rights with regard to personal information. For example, there is an individual’s right to access, to knowing what personal data has been collected and how that data has been processed. There is a right to accuracy, and restriction of data processing in the case of inaccuracy. There is a right to “freely given” and “explicit” consent for processing and storage of personal data. Plus, consent may not be regarded as “freely given” where performance of a contract is made conditional on consent, or is unnecessary to performance of a contract. The data subject also has the right to data portability, meaning the ability to request and receive personal data in a format easily transferred to another data controller. Finally, there is erasure or “a right to be forgotten,” which allows individuals to withdraw their consent for data use or storage and demand that personal data be erased and no longer processed. Not sure it applies to you, direct marketer? Consider this GDPR wording: “Where personal data are processed for the purposes of direct marketing, the data subject should have the right to object to such processing, including profiling to the extent that it is related to such direct marketing, whether with regard to initial or further processing, at any time and free of charge.”

How Are U.S. Brands Handling GDPR?

Obviously, GDPR has big impacts on business strategies in the European market. For one thing, if you are handling personal data on a large scale or processing particularly sensitive data (such as health, race and religion), GDPR may require you to designate a specialized Data Protection Officer (DPO) to report to senior management. In terms of strategic response to the regulation, 64% of executives at U.S. corporations reported that their top strategy for reducing GDPR exposure is centralization of data centers in Europe, according to a report released by PricewaterhouseCoopers (PwC). Just over half (54%) told PwC they plan to anonymize European personal data to reduce exposure. A significant minority are even cutting European market efforts, with 32% of respondents planning to reduce their presence in Europe, and 26% intending to completely exit the EU market.

For a definitive guide to GDPR and explanations of key terms, see this Direct Marketing News article.

 

Why You Should De-dupe Your Data

In today’s data-driven marketing, data is not only the most important asset that your company can have but can also make or break your campaign. Having clean data impacts not only marketing activities but also impacts your reputation, operations and decision-making. De-duping is one of the most important aspects of overall data hygiene. Duplicates can be found on many levels of data; they arise at the household level, individual e-mail level or company level. But before you can de-dupe your data, you must make sure you have a clear definition of what a duplicate is. Some businesses de-dupe based on a household address for direct mail campaigns, others on an e-mail basis for e-mail marketing campaigns, and some de-dupe based on the company level. If you are still not convinced that you need to de-dupe, consider the following benefits:

Avoiding Different Offers to the Same Customer

Having direct mail going out to the same household can be costly, and it can also be extremely embarrassing. For example, you send two different direct mail creatives to the same household. As one of the records was a customer, you decided to provide a returning customer 15% off, while the other record was marked as a prospect and only got 10% off. Now the person opening both direct mails will be confused by having two different discounts, and the company also can face a PR nightmare.

Cutting Unnecessary Cost

It goes without saying that having duplicates increases your cost. For example, assume you are doing a direct mail creative which costs you $5 per mailing. Your list contains 10,000 recipients. The total cost of mailings therefore is $50,000. If you decided to de-dupe, you would find out that 10% of your mailing list was duplicated. Therefore, $5,000 was a waste of resources. It would have been much cheaper to de-dupe prior to deploying your campaign.

Good Analytics for Decision-making 

Analytics is important not just from a perspective of understanding how your marketing and sales is performing but also from a decision-making perspective. By having duplicates in your CRM, you are going to be double-counting your list capabilities, miscalculating your true growth rates, and getting the wrong rate of responses. If you are looking to make a decision on future campaigns, basing it on duplicate data will give you the wrong list count, wrong budget and possibly the wrong creative picked (especially if you are basing it on an A/B testing done previously).

Reducing Customer Service Confusions

If there are duplicates in your CRM system, having clients call in, e-mail or come into the store will make it difficult for staff to track down the right individual. For example, Mary Smith is found twice in your CRM with the same phone number. She calls in to your customer support to inquire about her order status. Your customer service rep decides to pull up the customer account by phone number and finds two records. Now she has to put the customer on hold while she checks both accounts to try to locate the last purchase before she can even assist the customer. Not only is it wasting everyone’s time and making customer service inefficient, it also makes the customer have a bad customer service experience.

Preventing Potential Loss of Sales

Finally, the biggest impact that duplicates have on your business is a potential loss of sale. If you have duplicates, you do not have a true view of all prospect or customer activities. Therefore, you could be excluding prospects from a sales call because your lead scoring system indicated that they are not ready. However, if the data from both records was combined, you would have all signals indicating they are ready to be passed on to sales. With duplicates, by the time you figure it out, a customer may have already lost interest and gone with your competitor.

You can easily de-dupe your list by using a de-duping tool that will require less effort to identify duplicates and establish a master record than is required to deal with the consequences of duplicate data. De-duping should be part of your data-cleaning initiative, either prior to any major campaign or on a yearly basis.

If you are interested in data clean-up and use of a de-duping tool, contact guest author Anna Kayfitz, CEO of StrategicDB Corp.

Skeptical of Marketing Tech Buzzwords? You’re Not Alone

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 Spend to Rise; High Hopes for Social

AccuList USA’s digital marketing clients are already looking ahead to 2018 results, with many planning to increase digital spending. They’re following the trend reported in a recent survey by Ascend2, which found that 93% of firms expect to boost digital marketing budgets in 2018.

Boosted Digital Spend Planned in 2018

The survey, conducted in December 2017, tapped 217 marketing influencers, with 43% working for B2B firms, 35% for B2C firms, and 22% for hybrid firms. The combined 52% planning marginal increases and 41% planning significant boosts in 2018 digital marketing budgets dwarfed the 7% who intend to decrease digital spending. But the more interesting data involves where the marketers foresee the biggest bang for digital bucks in the year ahead.

Social & Content Marketing Dubbed Most Effective

Respondents expected the most effective digital marketing tactics in 2018 to be social media marketing (18%), followed by content marketing (17%). Search engine optimization was seen as most effective by 15%, e-mail marketing was seen as leading by 13%, and paid search and social ads was chosen by only 11%. The lower ranking of e-mail and search ads was not due to execution barriers; both were rated as among the least difficult to implement.

Execution Challenges for Data Management & Technology

In contrast, surveyed marketers reported the greatest execution difficulties for data management (18% rated as most difficult) and marketing technology (also 18%). Content marketing and search engine optimization tied for second place in terms of implementation challenges, with both selected by 16%.

Go to https://research.ascend2.com/2018-digital-marketing/ to download a full copy of the Ascend report.

2018 Offers New and Old Marketing Data Challenges

As a data broker, AccuList USA is committed to helping its data services clients with data gathering, quality, targeting and analytics. Looking ahead to 2018, we see new and old data issues for direct marketers. A recent Forbes magazine interview with Tom Benton, the CEO of the Data & Marketing Association (DMA), highlighted six of those data challenges for next year.

Perennial Problems From Quality and Integration

Given the huge amount and types of data streaming into marketers, many are struggling to decide which data sets to use and which to ignore, how to keep data accurate and actionable, and how to integrate new data with existing data. Several practices for 2018 success are suggested: clear business goals and target audiences to narrow the data focus; a clear test case for examining or onboarding data; regular examination of new and legacy data accuracy and value; and systems for integrating new data with existing data, especially given the new types of data streams available–everything from wearable gym trackers to chatbots to grocery checkouts.

New Opportunities Via Technology

The Forbes overview also cites the exciting opportunities coming from new marketing tech tools, such as augmented reality (AR), machine learning and AI. Are you ready to take advantage? The articles offers the example of how 1-800-Flowers improved customer experience by integrating the company’s website with artificial intelligence (AI) technology and natural language processing to understand customer demand and then search the product catalog to deliver customized recommendations. Use of AR today ranges from AMC theater movie posters to Simmons Bedding Co. product demos to labels of Australia’s 19 Crimes wine brand. And consider that digital growth company Urban Airship has developed a machine learning algorithm to analyze mobile customer behavior and help app publishers identify the most loyal users and predict those that are likely to churn to improve retention investment in specific customer segments.

Challenges With Cybersecurity and European Rules

If customers don’t trust that sensitive information will be safeguarded, they’ll stop engaging, hurting not only individual brands but the data-driven community. Massive data security breaches made headlines in 2017. That makes data security a top concern to retain customers and prevent risk in 2018, per Benton. Meanwhile, American marketers who seek to tap European markets need to get ready for the enactment of the European Union’s new General Data Protection Regulation (GDPR), taking effect May of 2018. The regulations will set a new baseline for consumer privacy rights and focus on ensuring that proper consents are obtained for a range of data sets and that other privacy rights are observed, such as the “right to be forgotten.”

For more on 2018 data trends, read the Forbes article.

Fundraising Mail Benefits From Data-Rich List Segmentation

Because effective data use is so key to nonprofit direct mail success, AccuList USA goes beyond data brokerage and supports fundraising clients with merge-purge and segmentation, predictive analytics, and data hygiene and appending, as well as rental list vetting and parameter selection.

Limited Data Limits Response

Some fundraisers question the need for a more sophisticated data approach, of course. So we’ll pass along a recent NonProfitPRO blog post by Chris Pritcher, of Merkle’s Quantitative Marketing Group, which challenges overly narrow views of donor data. Too often, using data to understand the donor base is limited to one of two categories, Pritcher notes: 1) RFM (recency, frequency, monetary) data and giving history, or 2) donor demographics and behavioral measures, ranging from factors such as wealth or related interests/purchases to applying behavior-lifestyle systems such as Prizm. Whether the data is first-party or third-party sourced, each approach has its limitations. RFM often silos data from a single channel, for example, even though donors live in a multi-channel world. RFM also focuses mainly on short-term financial action, ignoring donors, especially Millennials, whose giving is maximized through an interactive, long-term relationship. Meanwhile, though donor demographics can help avoid low-opportunity lists and segments, demographics in isolation may be too general for effective response targeting. Wealth data indicates who has money but not who is willing to give that money to a specific cause, as Pritcher points out.

Multi-dimensional View Enriches Segmentation

Pritcher urges fundraisers to step up their donor targeting and embrace “multi-dimensional segmentation” over the either/or data approach described above. Instead, nonprofits can analyze donor actions (both financial and non-financial) along with data such as demographics, wealth, donations to other organizations, etc., to create more actionable segments. Here are some of his basic tips for success: 1) avoid a myopic view by using financial and non-financial information across channels; 2) control scale by limiting segments and focusing on actionable over descriptive data; 3) include a plan for migrating donors into the most engaged segments; 4) focus strategy and budget on top donor segments, and use segmentation to acquire prospects likely to grow into similarly engaged donors; 5) target messaging by segment to further boost response, affinity and loyalty.

For the complete article, go to http://www.nonprofitpro.com/post/who-exactly-are-your-donors/

How B2B and B2C 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. As a data services provider in the age of multi-channel “big data,” AccuList USA certainly has client experiences that attest to the value of integrated marketing data and analysis, and the dangers of data silos.

Data Silos Undermine Big and Small Marketers

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. Marketers are likely to face poor immediate ROI and wasted future opportunities from an incomplete and inaccurate picture of customers, campaigns and channel results. Smart marketers will invest in solutions, such as third-party support, software for content management and marketing automation, and data warehousing.

Silos Prevent Personalized B2C Marketing Success

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. As customers demand more personalized marketing, marketers can embrace targeted, contextual approaches using search terms, browser history, etc. 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! Persson urges centralized storage and analysis to allow for a full line of sight into customer activity; real-time data access and analysis; channel attribution visibility; and tailored loyalty programs.

B2B Silos, Separated From B2C, Miss Audience

Another type of silo can impact business-to-business efforts: isolating business-to-business from business-to-consumer data. 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 a great tool for B2B onboarding, argues Gupta. Since data management platforms match B2C e-mails at a higher rate, linking B2B data to B2C e-mail addresses boosts reach. Creating custom audiences on social media can also benefit from a B2B link to B2C. Since most people use their personal e-mail addresses when they create social media accounts, connecting B2B data to personal e-mails will help reach far more B2B prospects on social media, too. Check out Gupta’s complete article.

Push Your Event Marketing E-mails Ahead of the Pack

During close to 30 years of direct marketing to help trade shows and conferences boost attendance and sell exhibitor space, clients often have asked for guidance on event industry response for e-mail campaigns. Now we can enhance data pulled from our proprietary research and experience with Eventbrite’s new “2017 Event E-mail Benchmarking Report,” comparing survey responses from over 340 event organizers across the U.S. and U.K. for a range of event types and sizes.

Benchmarks to Emulate

If you’re an event marketer with a fuzzy notion of the basic response measure of click-to-open rate (CTOR), you’re not alone. The benchmark report found that 39% of respondents said they didn’t know their average CTOR. That’s an ignorance that these event pros need to remedy if they hope to catch up with even average e-mail results. The rest of the U.S. event organizers surveyed reported an average CTOR of 12%. That was higher than their U.K. brethren, who only cited a 9% average, but far behind the enviable 17% in the U.S. who reported a CTOR of 21% or higher! Festivals scored the best average e-mail CTOR (14%), while classes and workshops had the lowest (9%).

Copy & Design to Boost Click-to-Open Rates

Event marketers who want to improve CTOR can commit to a number of basic creative tactics. First, they can revisit layouts and make sure they direct recipients to a compelling and clear call-to-action. Then, copy should be relevant, personalized and spam-filter avoidant, running from a great subject line that entices opens to copy that wins clicks. Obviously, mobile-optimization is a must now that the majority of e-mails are opened on mobile devices. Note that the most effective e-mails today also include an engaging image. E-mail research has found that e-mail campaigns with imagery have a 42% higher CTOR than campaigns without images, for example. (Don’t forget to comply with CAN-SPAM opt-out and privacy regulations, of course.)

Target, Test, Automate, Integrate

As data brokers, we must remind that response is even more dependent on the quality of targeted opt-in e-mail data, whether house or rental lists, and use of professional software and database support for list segmentation, updating and permission management as well as results tracking, testing and analysis. Indeed, regardless of carefully crafted e-mail creative, results measurement and analytics are essential to a direct marketing basic: testing of creative, lists and targeting to find what works best. Automation of event updates and confirmation/thank-you e-mails has also proven its value in maximizing click-through rates and conversions/registrations. And, finally, e-mail gains the most reach as part of a consistently branded, multi-channel effort, leveraging social media’s e-mail list building strategies, for example, as well as the proven marketing power of direct mail. (Ask us about our Digital2Direct marketing program that matches postal and opt-in e-mail records to send targeted mail and e-mail to the same recipients.)

For more metrics from the new event e-mail benchmarking survey, get the free report at https://www.eventbrite.com/blog/academy/2017-event-email-benchmarking-report/

Data & Content Are Keys to Profitable Audience Building

After long experience supporting publishers and media owners in circulation/audience growth, AccuList USA can affirm that, in the age of big data and exploding digital content, targeted data quality and database management are more essential than ever to profitable audience development.

It’s All in the Data

A recent Marketo blog post backs up that assertion with their advice. Demographics and firmographics are a key starting point, but now media owners also can mine transactional data, behavioral data, and psychographics/interests across channels, the post notes. Smart use of first-, second- and third-party data allows for tailored content, offers and channel targeting. As the Marketo article explains, “For example, you may know that a reader is a part of a cohort that is female, between 18-35 years old, with a household income between $64-96K….But what could you do–in terms of engagement–if you learn through her content consumption patterns that she’s interested in football, responds to sponsored content from travel brands, and mostly responds to content that’s shared on Facebook?”

And Data Management

Yet more data from multiple sources–web, print, mail, e-mail, social media–also presents challenges, and Marketo cites Folio’s recent survey of publishing leaders, which found 71% citing data management as a top priority for creating and monetizing media products. The solution is a single hub for audience data and automated cross-channel processing in real-time, the post advises. With a complete data profile of the audience, the focus can turn to delivering the right message at the right time to the right target. And we would add that an effective database will require strategies and support for data hygiene, database appending, analytics, and segmentation as well as automated triggering of messages across channels. Automation doesn’t apply only to digital messaging, by the way; marketers can capitalize on direct mail’s top response and brand engagement with automated mail triggering based on digital activity.

Commitment to Content

In publication/media marketing even more than other brand marketing, content counts. Faced with ever-growing digital content noise, media owners must work even harder to deliver content that interests and engages the target audience. To that end, a helpful Content Marketing Institute article by Neil Patel recently listed four common mistakes. No. 1 is offering content of more interest to the brand/publisher (and its advertisers/partners) than to the audience. Only audience-centric content builds audience. No. 2 is to focus only on selling in marketing messages, especially if poorly targeted. The long-term value of authenticity and relationship building suffers when the sales pitch is obvious and not personalized. No. 3 is an SEO addiction to the point of stuffing keyword phrases and irrelevant links into content, which can turn off and confuse readers and even earn search engine penalties. And No. 4 is an obsession with content quantity over quality. Simply delivering more content more often than competitors, especially if it is unwanted, sloppy and self-serving, is likely to turn off audiences. For good content marketing examples, go to Patel’s content marketing article.

What Data Questions Should Agency Agreements Address?

As a data broker and data services provider, AccuList USA knows first-hand that 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.

Unanswered Data Questions Leave Risky Gaps

Data can drive a precisely targeted marketing strategy by leveraging insights from transactional and customer behavioral data–assuming that the advertiser/marketer 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 advertisers should cover in contracts. Those questions include:

  • Who owns the data?
  • Where is the data stored?
  • For how long?
  • How secure is the data?
  • Is the data kept separate from that of other advertisers?
  • Is your data being used to aid other advertisers?
Everybody Wants to Claim Valuable Data

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 and third-party access rights.

Guarding First-, Second- and Third-Party Data

Ownership and access to third-party data–often sourced from agencies and ad tech providers–is usually clearly spelled out in licensing agreements between stakeholders. But AARM notes that advertisers also need to be careful that second-party data, meaning information gathered indirectly from users via an advertiser’s relationship with another entity (such as an SEO platform or behaviorally targeted digital display ad), is used or shared in a privacy-compliant manner.  Advertisers must guard their first-party data, too, AARM cautions. For example, there are data privacy and security risks for first-party data used in programmatic digital and addressable TV buys, where unregulated, unsupervised use could violate privacy rights.

For AARM’s article, “Big Data. Big Deal. You Bet,” see https://marketingmath.aarmusa.com/2016/12/05/big-data-big-deal-you-bet/