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Personalization Is Now Key to Insurance Marketing ROI

Personalization has become a mantra for all direct marketers, but it is especially relevant to AccuList’s insurance marketing clients. According to an Accenture 2018 study, 80% of insurance consumers are willing to share data to get more personalized offers, messages, pricing and recommendations from auto, home and life insurance providers. Although over 70% of insurance marketing campaigns claim to use some personalization, surveys show marketers are not doing enough to satisfy that customer demand. As a result, marketers can miss out on personalization’s proven power to improve response and ROI, lower acquisition costs, and enhance cross-selling.

Personalization Revs Mail’s Acquisition Power

While digital data often leads conversations, the importance of personalization in traditional direct mail, still an insurance workhorse, should not be ignored. After all, direct mail is considered more personal than digital by 69% of recipients, giving personalized content extra power. Direct mail also gets an average 9% response rate for house lists and 5% for prospects, per 2018 DMA/ANA data, compared with 1% or lower for other channels. Plus, for the digitally addicted, adding direct mail to digital bumps up conversion by 28%. A recent article on insurance marketing from agency Ballantine advised on top ways to maximize mail ROI, and, no surprise, personalization dominated—assuming clean, up-to-date mailing lists with important targeting parameters. First, marketers can use variable data printing and database parameters to personalize content and images to match the consumer’s life stage, so, for example, auto policy creative targeting a young single first-time car buyer differs in messaging and images from the creative for an older couple with a minivan. Next, marketers can personalize rates by taking into account factors such as the age and gender of the targeted recipient. And they can tap personal interests by leveraging affinity relationships, such as a specific sports team or association affiliation, via targeted discounts. Personalization shouldn’t stop with the mailing package but should then continue through the customer journey. Marketers can study the sales funnel to find when leads are most likely to drop out so that processes can be simplified, streamlined and further personalized to boost conversion. Simple examples include pre-filled forms and postage-paid return envelopes.

It’s All About Prospect and Policyholder Data

Meanwhile, One Inc., an insurance software company, offers a helpful roadmap to digital personalization. As with direct mail, marketing begins with quality consumer data and analysis, taking a step beyond age, gender and location to parameters that identify unmet needs and customer value for targeting and prioritization—such as a recent move, a new home, a new baby or an upcoming policy expiration date. Next, marketers need to track lead and policyholder actions to decide on the specific digital behaviors that will trigger a personalized response, say following up an online request for information with a series of lead-nurture e-mails. Then, marketers can design and test small campaigns of personalized content and process before expanding to more channels and audiences. Once strategies and processes have been developed and tested, an investment in marketing automation technology can follow, including AI algorithms using real-time data and behavior to tailor offers, customer service, cross-selling, lead scoring and more. Indeed, the advent of AI in the digital world is accelerating consumers’ personalization expectations, and the impact on the insurance industry is expected to keep rising in 2019, per articles.

Retention Relies on Smart Personalization, Too

Meanwhile, studies show personalization is also essential to cost-effective policyholder retention. One Inc. provides this example: An auto policyholder has a documented poor experience when filing a claim, putting the client in a “high risk” category for churn. Based on industry data that policyholders typically shop roughly two months (60 days) prior to policy expiration and that roughly one-third of shoppers switch carriers, marketers use the policy expiration date and contact information to send a letter 60 days before the policy is set to expire, personalized by the policyholder’s name, of course. The letter includes a personal note that acknowledges the poor experience and pledges to do better, an offer of a discount for renewing early, and rep contact information for quick response to questions or concerns.


New Survey: Online Marketing Pumps Offline B2B Sales

AccuList’s many business-to-business marketers—including business/industrial supply catalogs, business periodicals, trade shows, and recognition/incentive products—should be investing in a 2019 omnichannel marketing plan to maximize the online impact on offline buying, at least according to the latest research from Boston Consulting Group and Google. An optimal, best-practices mix of digital engagement channels—such as search, display, video, social media, e-mail and websites—with traditional print catalogs/mail, sales calls and brick-and-mortar stores can increase the marketing contribution to sales by 3% to 8%, BCG has found.

Decision-Making Starts Online, Even for Offline Buys

On average, two-thirds of B2B buyers of industrial machinery, industrial supplies, and packing and shipping products and services indicated in a new BCG survey that their purchase decisions had been significantly influenced by digital, even though the majority of buying journeys end with an offline purchase. The survey revealed that some 58% of industrial-machinery purchases were significantly influenced by online activity, even though 100% of the purchases were made offline. For industrial supplies, 88% of buyers performed some form of online research prior to purchase, while 69% then purchased online and 31% purchased offline. Packing and shipping buyers were more evenly divided in online-offline buying preferences, with 54% digitally influenced, 42% purchasing online and 58% buying offline. But it is the differences underneath the online influence data that reveal the opportunities for boosting sales. For example, spending to boost online branding ads/engagement can pay off when 75% of online industrial machinery researchers said that they consider two or more brands at the start of their buying journeys, compared with 55% of those who engage in offline research only. At the same time, 58% of industrial-machinery buyers said that they begin their online search with a product, rather than a brand, in mind. For these researchers, the manufacturers’ websites become primary points of influence.

Nurtured Online Researchers Make More Follow-up Purchases

One of the more encouraging findings in the BCG study was that online business researchers make more follow-up purchases, especially if there is engagement post-sale. When manufacturers of industrial machinery engage their customers digitally after an initial sale, those customers are three times as likely to research supplementary products, twice as likely to purchase them, and three times as likely to repurchase the product. Buyers of industrial supplies engaged digitally post-sale are eight times as likely to purchase a supplementary product of the same brand and twice as likely to repurchase the same product. Effective after-sales digital marketing activities include promoting online account sign-ups, encouraging app downloads, maintaining regular contact through e-mail or “nurture” communications, and ensuring a positive overall customer experience with the product or service.

Measurement Is Key for an Optimal Online-Offline Mix

For the best marketing return on investment, B2B marketers need to measure impacts and influences across the entire buying journey to connect digital marketing expenditures and tactics to offline sales. BCG found that measurement innovators use a variety of techniques—such as customer research, marketing-mix modeling, multi-touch attribution modeling, matched-market testing, and direct match-back approaches. For example, multi-touch attribution (MTA) is a modeling approach that attributes sales to the marketing activities that contributed most directly to revenues, using predictive models and artificial intelligence to derive statistics-driven attribution weights.  Direct match-back uses unique identifiers to tie a sale directly to the marketing activities that generated it at the individual or transaction level. Unique identifiers include credit card information, mobile tracking, in-store beacons, cookies, e-mail addresses or phone numbers.

Read more of the BCG study for survey details and success examples. And ask the AccuList team how we can help via our range of digital marketing services and Digital2Direct program, which combines targeted direct mail with social media ads or e-mail.

Weaponize B2B Data for 2019 With These Tactics

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

Shoppers Demand Seamless Omnichannel Retail Strategies

Omnichannel marketing is the rule for today’s retailing. While print catalogs continue as a vital merchant tool, with 42% of households reading catalogs per the U.S. Postal Service, integration of multiple channels–including online, mobile and social with direct mail–is now essential to our catalog and e-commerce clients’ success. Unfortunately, while the majority of consumers expect to shop seamlessly across all those channels, only 7% of retailers provide the unified “start the sale anywhere, finish the sale anywhere” experience that customers want, per the recent “2018 Customer Experience/Unified Commerce Survey” by BRP Consulting, a retail management consulting firm.

Omnichannel, Cross-Device Shopping Is Now the Norm

Marketers just can’t afford to ignore that the majority of shoppers now interact with promotions, educational content and purchase services via multiple channels and devices. According to the same BRP study, three in five (62%) consumers surveyed said they check online reviews/ratings before visiting a store, yet just 61% of retailers offer consumer product reviews for research! Shoppers now rely on mobile to continue the digitally supported buying process in-store, with nearly 60% of shoppers looking up product information and prices while using their mobile phones in stores, per Retail Dive’s 2017 Consumer Survey. Also per BRP, nearly three out of four (73%) of consumers want the ability to track orders across all points of interaction, going beyond an estimated delivery date to include when the order is being prepared, date shipped from the warehouse, etc. Plus customers expect an automated return process, with 68% of consumers surveyed telling BRP they are more likely to choose a retailer offering an automated returns process.

Analytics Need Complex Channel/Device Attribution

Merchants can leverage customers’ cross-device penchant to optimize acquisition and conversion, argues a Direct Marketing News article by Pierre DeBois. But they must keep in mind that, while the opportunity to boost ad frequency and content persuasion across channels is huge, smart management is required to avoid turning targeted promotion into a bludgeon. As Bill Kee, Google’s group product manager for attribution, highlighted at the 2017 Google Marketing Next conference, “If I am on three devices, and if I see your ad five times, it means you’ve reached me 15 times…believe me I get it.” The first place to start is good omnichannel analytics to understand the contribution of each channel to ROI and its place in the customer journey. Only then can merchants cost-effectively tailor targeting and investment to maximize sales. One useful analytics tool is Google’s Unique Reach report, which displays digital ad frequency metrics across devices, campaigns, and formats to measure how many times a person views a given ad, and combines attribution influences from AdWords, DoubleClick, and Google Analytics, suggests DeBois.

Using Images and Chat to Direct the Customer Journey

Good omnichannel analytics also can improve use of image and video content to maximize the proven effectiveness of image/video in digital engagement, to answer the customer demand for education, and to direct prospects through the sales funnel. However, quantities of images bombarding customers across multiple channels can overwhelm and confuse, so both media curation and a content mapping strategy aligned to the customer journey are needed. One example of a targeted image strategy is use of an “image story” feature on a social media platform to orchestrate images and/or a short video, notes DeBois. Pinterest Lens, Instagram Stories, and Twitter Moments are all image story features. Because the majority of consumers research products and services online now, marketers also can gain an edge over competitors by offering customer-facing elements such as chatbots. In contrast to apps, which may be used only for a few discrete tasks and then ignored, a chatbot’s programmable assistance can provide both engagement and continuing response performance improvement.

For more, see the Direct Marketing News article.

Demographic Trends Drive Growth in Pet-Owner Spending

Direct mail and e-mail lists and data services targeting pet owners are one of AccuList USA’s high-demand markets, and we expect trends in pet ownership to grow that marketing interest–and the competition that makes quality data and targeting even more essential.

Demographics Fuel Pet-Owner Spending

A recent post for The Marketing Insider highlights the demographic trends that are making pet owners such attractive targets: “Americans now own 305 million cats and dogs, an increase of 85 million over the past 10 years. The  50+ demographic is responsible for 60% of that growth. With 50+ population expected to grow twice as rapidly as the 18-49 segment over the next 10 years, brands that include 50+ pet owners in their marketing strategies will improve their odds of maximizing revenue growth,” asserts columnist Mark Bradbury.

Older Pet Owners Offer Big Opportunities

Bradbury makes the point that marketers hoping to cash in on the older pet-owning market will need to adjust their buyer profiles given that 50+ pet owners are mainly empty-nesters (80%), retired (one-in-three), and three times more likely than younger pet owners to be divorced, widowed or separated–leaving more time and disposable income to devote to pet members of the family. Bradbury points to statistical proof that older owners are on a pet-spending splurge: People 50+ spent over $15.6 billion on their pets in the last year, more than all of the other generations combined, according to PetBusinessProfessor.com.

Growing Market Also Draws Big Competition

The opportunity to market pet-pampering products is expanding, but so is the competition for slices of the pet-owner pie. Using marketing tactics of the past may either miss the mark with the older generation of pet owners, or get lost in the crowd vying for their attention. Bradbury suggests several tactics that put the focus squarely on the growing Baby Boomer pet market, including messaging that celebrates a pet-centric Boomer life stage. Multi-channel campaigning is a must for this market as well. In addition to digital marketing via online, social and e-mail, Boomers are also still heavy users, and responders, of direct mail, magazines and television, Bradbury points out. “Synergistic cross-media marketing plans” are required to maximize reach at every stage in the purchase funnel, he advises. Plus, though Boomers like to spend to dote on their pets, they also want to spend wisely and are attracted to savings opportunities. Direct marketers will want to include discounts or loyalty reward programs to win brand fans.

For more of Bradbury’s pet marketing suggestions, see https://www.mediapost.com/publications/article/314521/the-inside-track-on-the-booming-pet-market.html

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.