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Personalization, Omnichannel Strategies Drive 2020 Direct Mail

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AccuList’s direct mail marketing and mailing list clients embrace a channel that, despite perennial death notices, continues to outperform in terms of response, but mailers must also rely on evolving strategies for success in 2020.

2020 Success Depends on Data-Driven Personalization

Research consistently shows that personalization bumps up response. Most recently, in a 2019 NAPCO Research report on direct mail personalization, 44% of respondents saw personalized print marketing campaigns increase response by 16% on average, while Canon Solutions research found that adding a person’s name and other personalized database information (along with using full color) can increase the response rate of direct mail campaigns by up to 500%! So it’s no wonder that the recent Printing Impressions article by senior editor Toni McQuilken cites a number of leading marketing and print industry leaders stressing that data-driven personalization is the route to 2020 direct mail success. For example, Maureen Powers, president, Direct Marketing Group at RR Donnelley, asserts, “Personalization is more important than ever before, including with direct mail…We are using the direct mail channel to drive the customer experience through communications such as coupons and personalized offers. We’re also changing how we help our clients message their clients based on individual customer preferences and their point in the customer journey.” Likewise, Jim Andersen, executive chairman of IWCO Direct, stresses the shift toward variable data printing of smaller runs of targeted, personalized direct mail with digital tie-ins: “Today’s direct mail is more effective, relevant, and timely thanks to more sophisticated audience selection and segmentation. This technology uses digital print to personalize every component of a mail piece, including letters, inserts, cards, and call-to-action reply devices that connect the physical mail to an online, digital marketing experience.” 

Customer-Demanded Omnichannel Campaigns Mate Mail With Digital

For Andersen, mail personalization must be part of the omnichannel approach that customers demand today: “One of the biggest opportunities in the direct mail space is providing effective and efficient solutions to consumer demand for personalized, relevant messaging integrated across all channels. Insightful use of data, combined with the flexibility of digital print production, allows marketers to seamlessly integrate tactile marketing in their omnichannel campaigns.” Summer Gould, of Target Marketing magazine, has cited three already-proven ways to combine mail and digital:  1) online display ads that match direct mail data files to an IP address to target specific people by displaying cookie-free banner ads on web pages; 2) Facebook ads that match direct mail data with Facebook data to send targeted ads (see our Facebook Match services); and 3) e-mail matched with direct mail audience targeting to keep offers fresh, deliver response reminders and make added special offers (see our Digital2Direct services). The mail-digital mating can be taken even further to a union of programmatic automation with mail. Printing Impressions cites the example of Brodnax 21C Printers in Dallas, where Jim Singer, managing partner, describes their innovative program: “We take raw XML data to drive intricate, complex direct mail campaigns, including ongoing on-demand digital printing campaigns for local store marketing applications. Every night at midnight we get a massive amount of data, and the automated workflow we built for this programmatic offering” kicks in to generate direct mail campaigns and send them to production.

Data Quality Has Never Been More Paramount

These trends to more personalization and omnichannel integration rely on marketing data for segmentation and targeting, of course. Plus marketers must adjust for growing regulation of data security and privacy. All make data quality a top direct marketing priority in 2020. Yet too many marketers feel overwhelmed by the torrent of omnichannel “big data.” A Forrester Consulting 2019 survey 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. Clicktale 2019 surveys of marketing and customer-experience professionals found almost a third of marketers don’t feel they’re effective at utilizing their web and mobile data, over half (54%) said they “don’t believe they have a strong understanding of their customers’ behavior across digital channels,” and 20% reported feeling like “they will never truly understand why their customers buy.” Check out this 10-step data-quality strategy from VisionEdge Marketing if you are looking for a place to start.

 

 

 

 

 

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direct mail stats

ways to combine

Election Year Is Double-Edged Sword for Nonprofit Fundraisers

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AccuList’s nonprofit fundraising clients are entering a presidential election year, arguably one that is more contentious and partisan than usual. Will that be good or bad for fundraising? What strategies will help navigate the political crosscurrents to reap donations?

Political Ferment Can Churn Up Donations for Some

Research by online fundraising platform Classy has found that an “election effect” can drive an “unprecedented increase” in recurring donations for some nonprofits aligned with politically charged issues. For example, Classy reports that, after the 2016 presidential election, nonprofits directly opposed to President Trump’s policies, actions, or ideology saw a “surge in donations.” As another example, research by the Lily Family School of Philanthropy found donations increased significantly for “charities associated with progressive or liberal causes mentioned during the election” in the week after the 2016 election. Per 2019 Classy research, 46% of respondents said their political beliefs dictate the organizations or causes that will receive their donations. Classy suggests some basic strategies to use political winds to propel efforts to bump up new donors and recurring donations: 1) go back through donor data from the 2016 election to see how donations were affected before and after election day, taking into account political party as well as demographics and the timing of spikes; 2) pay attention to news about political issues that my relate to your cause for timely and targeted positioning of appeals; 3) reach out to existing donors and ask how the 2020 election is impacting plans to donate in order to decide how and when it’s best to ask for a donation; and 4) embrace flexibility in strategy so that you can adjust efforts to shifts in the national conversation.

Other Fundraising Efforts Can Be Pushed Offstage

Not all nonprofit causes can be linked to political issues. In a Forbes magazine post, Gloria Horsley, founder of Open to Hope Foundation, acknowledges the positive “election effect” for fundraisers that align with political agendas but notes a potentially negative impact on other nonprofits when more politically charged sectors noisily take center stage and siphon donor attention. She urges nonprofits that can’t find a way to make a connection to a political issue to reemphasize why the mission is just as critical despite the election noise. One approach is to illustrate how helping the nonprofit can produce tangible results, in contrast to the less certain outcomes of political efforts. People like to know they are making a difference and to have an emotional connection to a cause. Donors with an emotional connection to an organization will dig deeper and stay longer—even in an election year. That’s where good storytelling content makes a difference. In a post for the Association of Fundraising Professionals (AFP), fundraising consultant Linda Wise McNay cites storytelling as one of the top eight 2020 trends that nonprofits should embrace. She urges messaging to provide donors and prospects with a compelling case for support by collecting intimate, personal stories about beneficiaries of the nonprofit’s work, and then sharing those stories in print, online, on the phone and in person.

Taking Sides Can Result in Donor Losses, Too

Of course, McNay of AFP also lists the election as a major trend affecting nonprofits in 2020, but she sounds a note of caution: “Our conversations public and private are filled with comments and opinions on candidates and issues. Be wary of saying anything too controversial to your constituents that may be considered taking a position on one side or the other. Double up your efforts to fulfill the mission and goals of your organization, being careful not to take any political stance that might offend your donors and prospects and thwart your fundraising efforts. Your goal is to be still operating after the election, no matter which side wins the election in November.” One way to stay on the right side of your audience is to know them and target appropriately, and that means leveraging another key 2020 trend cited by McNay: access to, and analysis of, high-quality data on existing donors and prospects. AccuList will be happy to help with that data!

 

 

 

Personalization and Privacy Trends Highlight Need for Data Strategy

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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. 

 

 

Make Clean Data a Top Priority for Effective B2B Marketing

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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. Certainly, AccuList stresses to all its list hygiene and management clients, whether for house lists or rental prospecting lists, the importance of data quality for targeting and response, and a recent blog post by b2b data management firm Synthio confirms the basic steps for data hygiene.

Start With a Clear Data Plan

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.  That 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.

Standardize, Validate and De-Dupe Contact Data

What are the basics of data health and hygiene? 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.

Append Missing Data Parameters

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, etc.; opt-in e-mail, and telephone numbers. Self-reported LinkedIn data is another source that can be used. For more detailed data cleaning tips, see Synthio’s full article.

Make Sure You Have a 2019 Data Hygiene Plan

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As marketers prepare to launch their 2019 campaigns, they should make sure that a complementary data hygiene plan is in place, and certainly AccuList USA data services stand ready to aid in ensuring the quality, up-to-date, enriched data essential for achieving marketing results.

Why Does Clean Data Matter?

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. Dirty data leads to poor targeting and ROI for marketers, reduced revenue from customer acquisition and retention, wasted company resources and misdirected strategy. 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 but missing customer parameters.

Developing a Data Cleansing Strategy

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, accountability for data quality, and measurement of data ROI.

Key Elements of a Data Hygiene Plan

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 regular monitoring, or overall scrubbing without an automated regimen, experts suggest a quarterly hygiene review for databases of 100,000 records or more, and semi-annual cleaning for smaller databases. Based on our own years in the data business, we think the best advice from Thompson and other experts is to enlist the services of data processing pros when hygiene is due!

Check out more details from Thompson’s data hygiene plan.




Weaponize B2B Data for 2019 With These Tactics

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Targeted, clean data is a key deliverable of AccuList USA’s data services and list brokerage efforts for business-to-business marketing clients. And as those clients prepare their 2019 plans, we urge them to take basic steps to ready their data-driven marketing for maximum performance. A Martech Today post by Scott Vaughn sets the stage by recommending five essential data-oriented strategies for B2B.

Precisely Defined Audience Targets Using Clean Data

Good response and conversion depend on identifying and engaging the right audiences, meaning the right companies and the right decision-makers within those companies, 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.

Permission-Based Trust and Speedy Follow-up

Because today’s buyers are leery of companies and 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 marketing plan for their data, 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. That’s why many executive teams now prioritize a measure of “pipeline velocity,” meaning the time from when an opportunity is created to when the deal is closed, to improve revenues.

Agreeing on Measurements That Matter

Accurate, targeted, speedy data processes don’t automatically result in ROI improvement, however–not if data analysis ends up focused on the wrong metrics. Vaughn reports that high-performing marketing teams use insights with these key 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.) make smarter decisions. For his complete article, see https://martechtoday.com/5-essential-strategies-b2b-marketers-must-master-in-2019-228066

B2B Event Marketers Miss Out With Slow Lead Follow-up

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When business-to-business marketers successfully build event attendance and booth traffic to maximize lead generation, they are disappointed and baffled by a smaller than expected sales harvest. One of the reasons for poor lead conversion, as it turns out, is a simple lack of timely lead follow-up! With better systems and planning, we hope AccuList USA’s trade show and conference marketing clients will outdo the benchmarks for post-event lead processing revealed in a recent study by Certain, an event automation provider.

Sluggish Lead Prep, Tech Gaps Delay Follow-up

As reported by Direct Marketing News, Certain found that just 2% of the 150 B2B marketing-decision makers surveyed said they follow up with event leads the same day. A quarter follow up in one to three days, 29% follow up in four to six days, and 27% follow up in seven to 13 days. And another 12% said this process takes two to four weeks, with the slowest-moving 6% saying it takes them more than a month to reach out! Why are almost half of those surveyed taking more than a week to contact prospects? Lead processing is a key problem, with 57% of the study’s participants saying it can take hours to manually get leads “sales ready” for follow-up, and 23% reporting that the prep process takes a few days. Surveyed marketers blamed the sluggish prep time on a variety of reasons: 23% of respondents cited lack of technological tools, 15% blamed lack of organization, 11% claimed the delay was intentional, and 7% admitted to simple procrastination.

Slow Lead Follow-up Has Real Costs

Unfortunately, correcting slow lead processing doesn’t seem to be a priority with many marketers. The Certain study found that despite generally slow lead processing, 72% of respondents are “somewhat” or “completely” satisfied with their lead follow-up time.  That complacency has a cost that marketers are ignoring, we would point out. Most event marketing pros urge a 48-hour follow-up window to try to stay ahead of competitors. In fact, according to a study from InsideSales, 30% to 50% of leads are closed by the vendor who follows up with them first. Slow lead processing also can result in a smaller harvest of contacts post-event. For example, while a quarter of those in Certain’s survey expect to contact 200-999 leads per event, that is balanced by another quarter expecting to reach only 10-49 leads. E-mail is the main form of follow-up, per Certain’s survey of marketers; 52% of respondents rely on this channel first to reach leads. Some professionals do initiate follow-up via phone (23%), social media (18%), or direct mail (7%). No wonder 96% of those polled are focused on adding leads’ e-mail addresses to their databases for future campaigns.

Unhappy With Event Data Collection? Join the Crowd

Even if their lead processing is speedy and they succeed in gathering e-mail contacts, marketers are generally dissatisfied with the quality of their lead data. Clearly, successfully tailoring sales pitches to leads requires more than a name and e-mail address. In Certain’s study, 82% of participants said they wish they captured more information about each individual lead at their events. The method of data collection is one issue. In collecting data at events, the largest group, 42%, said they rely on manual data entry through computers or tablets, followed by 31% who turned to business cards and sign-up sheets, and 27% who relied on electronic scanners.

For more on the Certain’s event leads study, see the DM News article.

 

 

Why You Should De-dupe Your Data

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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.

Focus on E-mail Data for 2018 Insurance Marketing Success

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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.

Start With Clean, Up-to-Date Data

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.

Profile, Segment and Personalize

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.

Pay Attention to Buying Cycle and Life Cycle

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.

Check out AccuList USA’s insurance marketing data expertise and clients on our website.

 

2018 USPS Rate Hikes Challenge Direct Marketers

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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. Most of the increases are small, but volume mailers among Acculist USA’s direct marketing clients could feel the pinch. What are some of the strategies to offset the effect on marketing budgets?

Look for Savings Opportunities!

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.

Even More Value for Presorting, Package Changes

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 (9×12 or 10×13) package into a 6×9 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.

Importance of Targeted, Quality Data Underscored

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 on the USPS rate hikes, see the Mailing Systems Technology post.