B2B Marketing ROI Depends on Clean Data

As business-to-business marketers craft their fiscal 2020 budgets, it’s important that complex issues such as analytics, automation or AI do not distract from a core investment for achieving ROI: clean data. When 94% of B2B companies suspect inaccuracy in their databases, any marketers who do not prioritize data hygiene have their heads in the marketing sands. A recent blog post by b2b data management firm Synthio confirms the basic steps for data hygiene. It starts with a data plan. A good data plan will decide on the data-quality key performance indicators (KPIs) needed to achieve business goals. The plan will survey existing contact and account data and determine how to measure health in terms of data accuracy and completeness and how to maintain data hygiene tracking on an ongoing basis. It will look to see if there are important parameters for KPI success that the existing data does not address. Then, before cleaning data even begins, marketers need to check that important contact data at the point of entry or download is standardized. This will make it easier to catch errors and duplicates and to merge data from multiple sources. There should be a standard operating procedure (SOP) that defines fields, formats, and entry or upload processes to ensure that only quality, standardized data is used. The next step is to validate the accuracy of the data. Although a manual process might work for a small database, and there are tools and imported lists for cleaning data, advanced data hygiene is probably best handled by experts like AccuList, which can match contact addresses against USPS verification standards and change of address databases as well as update e-mail address changes. With standardized, validated information, data sets can be seamlessly merged and purged of duplicates. Why worry about duplicates? Duplicate records hobble CRM efforts, waste dollars in marketing campaigns, undermine the Single Customer View essential for targeting and response tracking, damage customer relations and brand reputation, and result in inaccurate reporting that can mislead marketing strategy. The final database improvement step involves data appending. Most b2b house databases have data for each record, such as contact first and last name, e-mail, company name and business address. But complete data for all records may be spotty, and some desired data may be missing altogether, such as title, phone number, company annual revenue, tech stack, purchase history, etc. Wouldn’t it be great for targeting and response to fill in the blanks? Data appending can enhance a house file with hundreds of variables from outside lists, including business “firm-ographics” on revenue, industry, employee numbers, opt-in e-mail and telephone numbers. For more, see our website blog post at https://www.acculist.com/make-clean-data-a-top-priority-for-effective-b2b-marketing/

Are You Realizing Personalization's Full Potential?

With direct marketing today striving for goals such as"hyper-personalization" and "personalization at scale," Barry Feldman of Feldman Creative recently put together an infographic for MarketingProfs to illustrate the potential of personalized marketing for those who still think “Dear FirstName” is enough. As data brokers and data services providers, AccuList is especially interested because personalized marketing relies on up-to-date, enhanced, accurate data to deliver on the promise—the right message, to the right person, at the right time—whether for customers or prospects. Customer outreach and the customer-based analytics for targeting prospects require collecting data from as many sources as possible: CRM, web activity, e-mail, direct mail, mobile apps, second- and third-party demographics, social media, and multichannel advertising. And then that data must be combined and maintained in a regularly hygiened customer data platform. Haven’t gotten there yet? You’re not alone. Only 5% of marketers have attained a single customer-data view that allows launching personalization across channels, per the infographic. So why worry about an edge gained by just 5% of competitors? When 78% of Internet users say personally relevant content increases their purchase intent, and 81% of consumers say they want brands to know them better and to know when (and when not) to approach them, any brand that is ignoring that demand for personalization is ignoring the bulk of their potential market. What do customers and prospects want? Feldman’s infographic breaks it down into “four R’s.” People expect to be recognized by name and to have their preferences remembered so that brands can make suitable recommendations and send relevant offers. Studies find that such personalization can cut acquisition costs by up to 50%, lift revenues by 5%-15%, and increase the efficiency of the marketing spend by 10% to 30%, per the infographic’s sources. Plus, in a competitive market, personalization will woo the 60% of shoppers who prefer to do business with brands that provide personalized, real-time offers and promotions. While discussions often focus on digital efforts, traditional direct mail also has benefited from technology trends, such as variable data printing, PURLs and QR codes, to enable greater personalization. For more on how direct mail can realize personalization's potential, see https://www.acculist.com/is-your-direct-marketing-realizing-personalizations-potential/

Use Predictive Analytics to Harness Big Data Power

Predictive analytics, meaning scientific analysis that leverages customer and donor data to predict future prospect and customer actions, can scientifically "cherry-pick" names from overwhelming "big data" lists and other files. For example, at AccuList, experienced statisticians build customized Good Customer Match Models and Mail Match Models to optimize direct mail results for prospect lists, as well as one-on-one models for list owners to help acquire more new customers or donors. Plus, predictive models can aid other marketing goals, such as retention, relationship management, reactivation, cross-sell, upsell and content marketing. One of the benefits of analytics is improved lead scoring, for example. Lead scoring is too often a sales and marketing collaboration, in which salespeople provide marketers with their criteria for a "good" lead and marketers score incoming responses, either automatically or manually, for contact or further nurturing. Predictive analytics will remove anecdotal/gut evaluation in favor of more accurate scoring based on data such as demographics/firmographics, actual behavior and sales value. It also speeds the scoring process, especially when combined with automation, so that "hot" leads get more immediate contact. And it allows for segmentation of scored leads so that they can be put on custom nurturing tracks more likely to promote conversion and sales. In fact, with predictive analytics, list records can be segmented to achieve multiple goals. The most likely to respond can be prioritized in a direct mail campaign to increase cost-efficiency. Even more helpful for campaign ROI, predictive analytics can look at the lifetime value of current customers or donors and develop prospect matching so mailings capture higher-value new customers. Predictive analytics also can tailor content marketing and creative by analyzing which messages and images resonate with which customer segments, identified by demographics and behavior, in order to send the right creative to the right audience. Finally, analytics can develop house file segmentation for retention and reduced churn, looking at lapsed customers or donors to identify the data profiles, timing inflection points and warning signs that trigger outreach and nurturing campaigns. Data analysis and modeling can also be used to improve future marketing ROI in terms of channel preferences and even product/services development. Of course, reliable predictions require a database of clean, updated existing customer or donor records, which AccuList also supports via its list hygiene and enhancement services. For helpful links, see https://www.acculist.com/predictive-analytics-harnesses-data-for-marketing-roi/

Targeted E-mail Expands Museum Direct Marketing

Clean, targeted e-mail data can help museum marketers reach new members, event participants, or donors as well as improve retention and performance of house names. Evidence that e-mail can be a successful player in museums' multi-channel campaigns comes from Constant Contact's March 2019 e-mail statistics for house databases in the arts, culture and entertainment vertical (including museums and galleries), which show overall e-mail open rates averaging 17.54%, and click-through rates averaging 6.81% for the vertical. Those results are better than the all-industries averages of 16.74% open rate and 7.43% click-through rate, plus ahead of all but 13 of the 34 verticals tracked, and far ahead of some verticals, such as technology (e.g. web developers), automotive services, salons, retail and consulting. Marketers can also use e-mail to prospect for new members, donors and event participants. For example, marketers report success with event audience building via a series of e-mails that start with a promotion linked to ticket purchase, RSVP and/or social-sharing request, then follow up with reminders prior to the event, and finish with a post-event thanks e-mail that includes a request for an online review. Other successful e-mail series reward loyalty or re-engage dormant supporters by offering special perks (such as discounts). E-mail automation can make contact strategy even easier with programmed triggers, such as a re-engagement e-mail automatically sent six months after a last visit. Earning response to a house database or prospect list requires a few e-mail basics: 1) personalized, targeted messaging; 2) a brief subject line that inspires opens and CAN SPAM-compliant creative that inspires click-through; 3) mobile optimization of the e-mail with a clear call-to-action linked to a mobile-optimized digital landing page; and 4) an updated, clean opt-in e-mail list to avoid spam filters. AccuList's services especially focus on the last point. For responsive, targeted prospects, AccuList's proprietary research has identified the top choices among opt-in e-mail rental lists (plus telemarketing and direct mail lists), including lists of museum members/donors, lists of museum mail-order buyers, and lists by type of museum and collection. For clean, targeted house lists, AccuList points marketers toward database enhancement and hygiene, including identification of recent e-mail address changes through Electronic Change of Address (ECOA) lists, enhanced targeting by adding demographics from outside lists, and expanded reach by appending opt-in e-mails. Museums also can pair e-mail's advantage in highly targeted and personalized messaging with social media's ability to engage and build brand and web traffic. Social media apps can be used to capture new e-mail opt-in subscribers, for example. With platforms like Facebook, house e-mail data can be matched with the huge social audience to deliver demographics- and interest-targeted ads and promoted posts to existing names and lookalikes. And both social media and e-mail targets can be matched with direct mail for multi-channel power. For helpful links, go to https://www.acculist.com/targeted-e-mail-expands-museums-direct-marketing-options/

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/

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/

Smart List, Mail Design Cut Postage Costs

Maximizing direct mail ROI requires cost efficiency, especially in the postage realm. Good list selection and hygiene are key to avoiding mailing waste. Another important factor in controlling postage costs is mail package design. If you are sending mailings to the wrong people, people unlikely to be interested in your offer, lower response rate and cost inefficiency will be reflected in poor ROI. Using tools from predictive modeling to customer profiling to segmentation can improve list choices and targeting parameters. Plus, AccuList USA's proprietary list research can help clients find the top-performing lists for their specific vertical market. But no matter how data is targeted, dirty data with duplicates, errors, invalid addresses, and old demographic or purchase history information will create costly delivery failures and misdirected waste. That's why AccuList USA goes beyond list brokerage to provide expert merge-purge services that combine and standardize data in order to eliminate duplicates, identify and correct old or undeliverable addresses, verify zip codes, and maximize postal discounts. In fact, by comparing names and addresses to real-time information on multiple public and private databases, AccuList USA offers an advanced hygiene regimen that is able to identify and correct twice as many addresses as standard USPS FASTforward and NCOALink use, which only represent a portion of U.S. movers and undeliverables. USPS offers postage discounts to mail pieces that are not only addressed correctly but also designed for processing on automated equipment. For mail to qualify for the lowest postage rates, the mail piece needs to be at a letter size, which is a minimum of 3 ½" high by 5" long and a maximum of 6" high by 10½" long. Larger mail pieces fall into the flat category, which can cost more than twice as much per piece as a letter. Plus, to take advantage of automation, the piece must by rectangular, with an aspect ratio (length divided by height) of 1.3 to 2.5, or risk costing twice as much in postage. The addressing and barcode block on letter size mail also must fit into the USPS OCR read area to avoid additional postage. Naturally, weight matters. Keep the weight of a folded self-mailer under 1 ounce; if the piece weighs over 3 ounces, it must go in an envelope. Thickness counts, too.  If a mail piece is less than 0.009" thick, it costs more in postage. On the other hand, the maximum thickness for letter size mail is ¼" and for flat size is ¾". For more, see http://www.acculistusa.com/smart-list-mail-design-choices-help-save-on-postage/

E-Mail Marketing Success Relies on These Basics

E-mail is a key part of most omnichannel marketing strategies, Yet dodging spam filters and reeling in responses from crowded inboxes is an ongoing challenge. A recent Direct Marketing News article laid out some basic tips on how to get the most out of e-mail marketing. First, data matters. Even the most well-crafted e-mail will end up in spam folders if delivered to an e-mail list with too many duplicates, outdated addresses, missing permission hygiene, spam traps, etc. Quality e-mail data is essential to deliverability, which means regular cleaning and updating of house lists, or carefully vetted rental lists (sponsored e-mails) for prospecting. Quality data is also key to the targeting that maximizes response, using segmentation and personalization to tailor offers and messaging to specific audiences and individuals. Once an e-mail lands in the inbox, the subject line, a brand's first impression, impacts open rates. While there are few absolute guidelines, be aware that 50-70 characters in length is the "sweet spot" for readability, per the article. In those few characters, the subject line needs to quickly convey an offer/value and tone that intrigue the audience. Beyond avoiding words and symbols likely to trigger spam filters, A/B testing is usually the best way to find which subject line leads to higher open and click rates, as the article advises. While focusing on a first impression, too many e-mail marketers forget the importance of a closing impression. For example, after gaining response and conversion, marketers can use transactional e-mails (e-mails acknowledging a purchase, donation, sign-up, etc.) to expand customer/donor value by offering a reward (discount on next purchase as an example), a loyalty program, a newsletter, social links and more. When it comes to design, the key to success today is the ability to translate across desktop, tablet and mobile devices. Remember, research shows that more than two-thirds of consumers access e-mail through their smartphones! Plus, e-mail isn't usually the only method for connecting with an audience, or necessarily the channel preference of all recipients. That's why e-mails also should highlight social media buttons, invite readers to share content, or urge them to visit appropriate social pages and profiles, as the article notes. For more tips, see http://www.acculistusa.com/want-e-mail-marketing-success-here-are-some-basics/

Smart Direct Mailers Embrace These Tech Trends

Direct mail marketers looking for success in 2018 should check out a blog post by Postalytics, a direct mail automation tool, which recently mined expert sources for the most influential direct mail trends of 2018, including key technologies. Unsurprisingly, automation purveyor Postalytics puts mail automation software at the top of the list, but they get plenty of industry support. Automation allows marketers to quickly generate high-quality, personalized and trackable letters and postcards by leveraging templates, digital cues and automated workflows, cutting direct mail production cycles from 4-6 weeks down to 1 week. Automation also allows marketers to maximize response by integrating triggered direct mail into any step in the buyer's journey, online or offline, so that mail delivery taps into the appropriate timing, content and call-to-action. Then interactive, mobile-scanned Augmented Reality apps and QR codes, as well as personal urls (PURLs) linked to targeted content-specific landing pages, allow direct mailers to connect offline marketing's printed paper with online marketing's digital pages, images, animations and videos for greater overall campaign response and ROI. But it takes quality, enhanced data to match the right message to the right people at the right time. Good mailing list data allows for targeting based on shopping habits and needs, retargeting and cross-selling, recapturing and reactivating of lost prospects and customers, leveraging of trigger events and personal preferences, and more--provided there is a commitment to database hygiene and processing. Good mailing data also allows for the sophisticated content personalization that has become a basic expectation of customers including personalized coupon codes. For more, see http://www.acculistusa.com/these-tech-trends-likely-to-drive-2018-direct-mail-success/

Why You Should De-dupe Your Data

Anna Kayfitz, CEO of StrategicDB Corp., recently offered AccuList USA this expert advice on why direct marketing success requires de-duping 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. If you are not convinced that you need to de-dupe, consider the following five benefits. First, you can avoid different offers to the same customer. 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. Second, you can cut unnecessary 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. Third, you will get better 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 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). Next, de-duping helps prevent customer service confusion when clients call in, e-mail or come into the store. 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. 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. De-duping should be part of your data-cleaning initiative, either prior to any major campaign or on a yearly basis. 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. For more help, see http://www.acculistusa.com/why-you-should-de-dupe-your-data/

Insurance E-mail Wins Need Quality, Targeted Data

Success with e-mail in 2018 insurance marketing boils down to using quality, targeted data--something that AccuList USA is committed to delivering. Data provider V12Data summed it up well in a recent post offering basic insurance e-mail data tips. With an estimated 30% of e-mail subscribers changing their addresses each year, make sure all e-mail lists are up-to-date, with addresses validated and verified, including any e-mail addresses that have been matched and appended to a postal list. Good list hygiene should include removing duplicates; correcting formatting errors; identifying addresses known to be associated with spam traps; and eliminating hard bounces, invalid e-mails/domains, and e-mails associated with complaints. There's no point to all that quality e-mail data if it's not used to understand and target your audience. That means looking at both actionable internal data, such as customer service records, transactions, credit card purchases or e-mail responses, as well as relevant demographic data, either from first-party collection or appended via third-party data aggregators. Consumer demographics could include date of birth, home ownership, occupation, gender, estimated income, age, presence of children, investments and more. Then segment your lists in order to offer the right product to the right audience segment. Plus use data to personalize offers and creative, and that means going beyond a Dear FirstName. Today's e-mail audience expects and demands personalized offers. Smart e-mail campaigns nurture customers and prospects through the buying cycle. Because those who request general information and those who fill out a request for quote form may be at different stages of the buying cycle, they need different messaging. Website signups can be sent a personalized welcome message, while subscribers who have not taken further action can get a follow-up nurturing message about products and services, with a call-to-action promoting a free quote or agent call. When a prospect makes a quote request, e-mail messaging can focus on getting to a policy sale, with more policy information and a specific offer or promotion. Note that life cycle counts as much as buying cycle. Consumers are more likely to buy insurance during major life-event changes, such as marriage, divorce, moving, home purchase, a new baby, retirement, etc. Leveraging that data in targeting sends the right offer at the right time for maximum response. See our blog http://www.acculistusa.com/focus-on-e-mail-data-for-2018-insurance-marketing-success/

2018 USPS Rate Hikes Challenge Marketers

On January 21, the U.S. Postal Service bumped up its rates for almost all mailings by direct marketers and publishers: Marketing Mail (formerly Standard Mail), First Class Mail Retail, First Class Mail Discount and Periodicals. What are some of the strategies to offset the effect on marketing budgets? Before panicking, mail marketers need to check out the whole USPS rate change grid. A 1% to 2% overall increase will be higher or lower depending on the class, weight, zone, density and special services required, and there are actually some savings to be had. For example, while the First Class stamp is going from $0.49 to $0.50 for a 1-ounce letter, a 2% bump, the USPS did not increase the additional ounce rate, so the percentage change gets smaller as items get larger. Meanwhile, metered letters are increasing from $.46 to $.47 in postage, which offers a significant savings of $0.03 per piece for those using a postage meter or PC postage, points out a recent Mailing Systems Technology post. Although most USPS discounts are tied to doing more work, such as barcoding or sorting, this metered rate savings is automatic for just using a system to print postage that costs as little as $20 per month, the article notes. There are other savings to be had via presorting, adds the Mailing Systems Technology article. For example, last year the USPS increased the weight limit for letter rates from 2 ounces to 3.5 ounces. Now, with the rate for a 3-ounce metered letter at $0.89 and a commercial rate of $0.378, there's a potential 58% savings from using presort services. Package changes can help the budget, too. Folding a flat (9x12 or 10x13) package into a 6x9 envelope could mean significant savings with the new rates. A three-ounce flat at $1.42 now could cost as little as $0.378 if it can be put in an envelope and automated through in-house software or presort services. Plus, mailers sending Priority Mail items at retail rates using Click-N-Ship or a postage meter can switch to a PC Postage solution using commercial rates to save 10% overall, or 2% to 40% less based on weight and zone. As data brokers, AccuList USA stresses that these postal cost changes also should push marketers to use data-driven direct mail in more strategic and creative multi-channel campaigns. To maximize mailing ROI, marketers should cut wasted mail by improving targeting, mailing list selection, and data/address quality, as well as apply response-boosting creative tactics, such as personalization and special printing effects. For rate tables and more advice, go to http://www.acculistusa.com/2018-usps-rate-hikes-challenge-direct-marketers/

2018 Marketers Face Old and New Data Issues

Direct marketers will face both old and new data challenges in 2018. A recent Forbes magazine interview with Tom Benton, the CEO of the Data & Marketing Association (DMA), highlighted six of those data hurdles for next year. The perennial problems of data quality and integration continue, worsened by the huge volume 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. But 2018 also offers potentially exciting opportunities via new marketing tech tools, such as augmented reality (AR), machine learning and AI. The Forbes 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. At the same time, marketers face tougher challenges in the areas of data security and privacy 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. After massive data security breaches made headlines in 2017, data security is a top concern to retain customers and prevent risk in 2018. Meanwhile, American marketers who seek to tap European markets need to get ready for the enactment of the European Union’s General Data Protection Regulation (GDPR), taking effect May of 2018, which will set a tough new baseline for consumer privacy rights. For more, see http://www.acculistusa.com/2018-offers-new-and-old-marketing-data-challenges/

Reputation Scoring Key to E-mail Deliverability

Deliverability is the first step to e-mail marketing success. If your e-mail never hits the inbox, all those subject line and content tactics are useless. So why do the top e-mail marketers get a 90% inbox placement rate, while others languish below 50%? A deciding factor is reputation, as measured by a "sender score," according to Return Path's annual "Sender Score Benchmark Report." A sender’s reputation score is a number, calculated from 0–100, that mailbox providers use to evaluate whether or not e-mail sent by a particular IP address is likely to be legitimate and wanted or should be filtered out of inboxes. Return Path's analysis finds that e-mail senders with a reputation score above 90 saw an average of 92% of their e-mails reach the intended recipient, but e-mail deliverability drops to 72% for senders scoring between 81-90 and just 45% for senders with a score between 71 and 80. So how do you get and keep a strong reputation score? A recent post by Krista Barrack, for the sendinblue blog, cites six ways you could be damaging your sender score, starting with e-mail list issues. One common error is collecting invalid e-mail addresses in your house list (often caused by typos, especially from mobile users). These create hard bounces to erode your sender score. A second mistake is using purchased e-mail data where people have no opt-in relationship with your brand and so don't engage or mark your message as spam, hurting your score. That's why, as responsible data brokers, we don't sell e-mail data and instead broker list rentals so messages are sent by the list owner with valid recipient opt-ins. A third house list problem is allowing outdated, unmailed addresses to accumulate and become invalid. To deal with the problem, set up a program of regular communication and hygiene to prune your list frequently. Poor content quality affects sender scores, too. If your e-mail message is not mobile-optimized, is loaded with spam words, is plagued by faulty links, and/or is not relevant or honest, recipients are either not going to open it, will label it as spam or will opt-out. Timing matters, too, and the most common sin is embrace of a spammer's excess frequency. Note that studies show read rates drop with increased weekly frequency--and opt-outs and complaints rise. Finally, watch for spam traps hiding in your e-mail list. These can get you blacklisted! For more detail, go to http://www.acculistusa.com/whats-the-secret-to-better-e-mail-deliverability-your-reputation/

What B2B Marketers Can Do Better With Better Data

AccuList USA is dedicated to providing clean, up-to-date, targeted data for business-to-business direct marketing, and we urge any B2B marketer who still hesitates to invest in higher quality data and segmentation to read the recent CMO.com post by Ed King, founder and CEO of the Openprise data automation firm. King lists five ways high-quality data will make the B2B marketer's job easier and more effective. First, better data allows the addition of demographic scoring to the usual activity-based scoring for better targeting; for example, marketers won't prioritize a lead from online activity when demographic factors on the company or individual show it does not really meet buyer targeting. Second, with more accurate data about prospects and customers in terms of individual and company profiles, marketers can personalize communications and engagement for better conversion and reduced attrition throughout the sales funnel. Third, B2B marketers can better use account-based targeting as opposed to individual lead targeting, including improved use of automation platforms. Fourth, since all leads are not created equal, better data allows for optimized, speedier lead qualification and conversion--providing different treatment of net new leads versus leads from existing accounts, for example. Fifth, marketers can simplify their marketing technology investments, such as predictive, web or social bolt-ons with data cleansing mechanisms because of poor quality data from CRM or automation platforms. By improving source data, existing technology is more efficient and new technology investments can focus on other key needs, such as analytics or workflow. For detailed explanations and examples, read the full article at http://www.cmo.com/articles/2015/12/18/how-would-perfect-data-change-your-job.html

2015 E-Mail Stats Provide Benchmarks for 2016

E-mail marketers are already launching their 2016 campaigns, but a quick look back at 2015's e-mail triumphs and troubles per marketing research can offer helpful benchmarks for this year. Direct Marketing News magazine recently summarized a slew of 2015 e-mail research data, starting with the tactics most likely to boost click rate response per marketers: Respondents in Ascend2's “Email Marketing Trends” report rated a meaningful call-to-action offer as the most effective tactic for boosting click-throughs (65%), followed by list segmentation for targeting (47%), message personalization (42%), and testing and optimization (35%). The bad news is that the same respondents also rated some of the more effective methods as the most difficult, with 41% citing list segmentation as the most difficult to implement, for example. Another survey found similar agreement on strategies for success: In a 2015 survey by Econsultancy and Adestra, most marketers rely on basic segmentation (76%), optimizing for mobile devices (61%), prompting content sharing on social media (56%), and routine list data cleansing (50%). But they also agreed that their efforts weren't outstandingly successful, with 44% rating e-mail campaign performance as average compared with 41% who saw performance as good to excellent. Nevertheless, e-mail remains a favored marketing channel because of its relatively higher ROI: The Relevancy Group surveyed 300 e-mail marketing executives and 91% rated e-mail somewhat or highly effective in terms of delivering revenue. And the Direct Marketing Association's 2015 "Response Rate Report" found e-mail campaigns provide the highest median ROI of 21%-23%, followed by telephone campaigns (19-20%), social media ads (15%-17%), and direct mail (15%-17%). For more e-mail stats, go to http://www.dmnews.com/email-marketing/email-by-the-numbers/article/462945/

Use These E-Mail Tactics to Breach Inbox Barriers

E-mail deliverability will remain a key marketing hurdle in 2016. So here are three basic tactics to drive up open and click rates and help overcome inbox filtering, courtesy of a BrandViews blog post by CRM software firm Marketo. First, use html buttons instead of image buttons for your e-mail call-to-action (CTA), advises the article. That way, when the e-mail is opened, the recipient won't have to wait for images to download; the html-coded button appears upon open and looks the same as an image-based button. Marketo reports that switching from image to html buttons delivered a 5% lift in open rate, a 15% lift in click-to-open rate and a 20% lift in click-through rate in its tests. Next, with 50% of e-mails opened on mobile phones and 65% of consumers starting the purchasing cycle on a mobile device, mobile-responsive e-mail design is clearly a must. A successful mobile e-mail version needs to include these components, per the post: the right breakpoints via media queries in the tag; larger text for readability on a small screen; and a CTA "above the fold" of the mobile screen. Marketo reports a 28% increase in click-through and a 31% boost in click-to-open rates thanks to improved mobile templates. Finally, with over 20% of e-mails landing in junk/spam folders, bouncing or blocked per Return Path, deliverability measures are clearly required. Marketo highlights these deliverability tips: retiring e-mail addresses after one hard bounce; lowering the soft-bounce threshold for retiring e-mail; and list hygiene to cull inactive and bad e-mail addresses. The goal is to only send e-mails to subscribers who want them. For design examples and resource links, read the full article at http://www.business2community.com/brandviews/marketo/3-email-marketing-must-haves-tackle-evolving-inbox-01409706#vt1T9WKppDor0isK.97

Print Can Add Needed Punch to Marketing Plans

Printed material, including direct mail, keeps proving its worth to our clients in this digital marketing era. So our thanks to Jean Gianfagna of Gianfagna Strategic Marketing for a post summing up the reasons for print's continued marketing power. She cites six marketing advantages that make print a must-have for a smart marketing strategy: unlimited creative options, from formats to personalization to dimensional impact; effective branding via the unique impression created by physical materials; enhanced customer relationships from targeted, personalized loyalty, cross-sell and up-sell messaging; increased customer understanding with detailed product descriptions, comparisons and options that don't fit tight digital formats; durability, influencing decisions long after a tweet or e-mail has been discarded and forgotten; and engagement tapping multiple senses (visual and tactile, plus even scent and sound). That said, marketers can also squander budget on overdesigned, untargeted, ineffective print efforts. So Gianfagna adds some important advice on using print wisely: work closely with a printer before finalizing design to choose the most cost-effective materials and formats; be cautious with use of pricey print techniques, such as die-cuts, embossing and foil stamping; use quality data for targeted, correctly addressed direct mail; plus, when it comes to direct mail, keep USPS regulations in mind for lower postal rates. For more detail, go to http://www.gianfagnamarketing.com/blog/2015/10/29/6-reasons-you-still-need-print-in-a-smart-marketing-strategy/

Costly Bad-Address Returns Still Plague Mailers

With advances in data technology and systems offered by the U.S. Postal Service, such as National Change of Address, direct mailers should have seen a decline in "return to sender" address glitches in recent years. Not so, points out Direct Marketing News magazine Senior Editor Al Urbanski in a recent article. In fact, according to USPS figures, 3.7% of first-class mail was returned to senders in 2014, up from the 3.4% in 2004. That small percentage adds up to big costs for direct mailers. Urbanski cites estimates by Novitex, a mail management company, that each piece of returned mail costs marketers between $3 and $50 a piece, with the higher hit on transactional mailers receiving payments for insurance premiums, merchandise purchases, credit card payments, and loan payments. But all mailers are burdened by wasted printing, prep, postage and data processing spends, as well as customer churn and lost opportunities. What to do? The fundamental problem is bad mailing-list data, despite all the systems available to keep lists clean and updated. So Novitex urges using automated services for address updating, including NCOA; centralized returned mail operations to improve reaction and cut risk of postal service audits and lost discounts; and implementation of data technology to track mail behavior to the root causes of returns. For the complete article: http://www.dmnews.com/direct-line-blog/return-to-sender-is-still-high-on-mailers-playlists/article/421022/

How 'Little Data' Basics Yield Big E-mail Results

E-mail marketers can get lost in "big data" analytics and lose sight of the "little data" basics of e-mail delivery that reveal faster response improvements, advises Scott Roth of consumer intelligence company Return Path in a recent ClickZ post. Roth's "little data" fundamentals go beyond engagement rates to inbox placement rates, authentication policies and domain security, and Roth provides a number of real-life examples of how analyzing these basics improved e-mail results. For example, large U.S. retailer Dillard reversed a trend of declining open and click-through rates by checking inbox placement rates across all major mailbox providers. Dillard found that 20% of promotional e-mails failed to reach subscribers, with many e-mail addresses no longer existent. Plus, subscribers who did get e-mail marked it as junk at an above-average rate. The retailer focused corrective actions to pump engagement rates 100% and push open rates above pre-decline levels. Similarly, when another brand saw inbox placement rates drop 50%, they checked their sending basics and discovered that an improperly configured authentication policy for their sending domain had caused most mailbox providers to treat e-mails as spam. With corrective action, the brand saw inbox placement rise 46% to 92%. Financial firms especially need to track basic data for signs of security problems, as Roth points out. For example, he notes how a financial services firm tracking a rise in suspicious domains and call center traffic was able to correlate its e-mail data with phishing outbreaks and then implemented e-mail security protocols. For the whole article, read http://www.clickz.com/clickz/column/2410356/sweat-the-small-stuff-big-results-through-email-marketing-fundamentals