For 2020: Clean, Personalized, Predictive Data

As 2019 closes, marketers have a year's worth of multichannel customer, campaign and sales information to analyze for 2020 plans. So what are the big data trends that will maximize ROI? Clean, up-to-date, quality data is still the basis for effective marketing. So start by monitoring data for issues such as duplicates, missing information or bad records to figure out how and where they are occurring. Then standardize processes at each data entry point. Next validate the accuracy of data via data tools or expert data services. Identify and scrub duplicates. Once data is standardized, validated and de-duped, improve its analytic value with third-party data appending. Establish a feedback process to spot and update/purge incorrect information, and communicate standards and processes so all teams understand the value of clean data in segmentation targeting, lead response, customer service, etc. Meanwhile, the 2019 Martech Conference highlighted other trends, such as the role of data in personalization. Expect to see increased use of Artificial Intelligence (AI) and machine learning (ML) for personalization. For example, for more personalized acquisition, ML can recognize if people from certain areas are more likely to respond to a specific offer or which past high-response special offers may resonate in future. When personalization is combined with elimination of data silos and creation of a single customer view across channels, marketing becomes especially powerful. Indeed, data integration and elimination of data silos are key to the growing "agile marketing" trend, which breaks down team silos to focus on high-value projects collectively. Marketers should also boost use of predictive modeling. Why? A study by ClickZ and analytics platform provider Keen found that 58% of marketers using predictive modeling experienced a 10%-25% ROI lift, while another 19% saw more than a 50% uplift. While retroactive campaign data can be very useful, it’s not as good at informing future multichannel directions. Standard data analysis often mistakenly gives most credit to last-click channels such as search or transactional activities. The Keen/ClickZ survey found marketers using predictive modeling boosted results in multiple areas, including better understanding of the target audience (71%), optimizing touchpoints on the customer journey (53%), and improving creative performance (44%). For more detail, see https://www.acculist.com/prep-for-2020-marketing-with-clean-personalized-predictive-data/

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/

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/

How Performing Arts Marketers Find Best Targets

Since AccuList USA has successfully worked with performing arts and cultural organizations in audience development, supplying data and data services to help them acquire new patrons, ticket buyers and supporters, we were happy to see a recent npENGAGE.com post underscoring the key role of quality data targeting in performing arts marketing success. Basically, performing arts marketers must acquire prospects with the potential to become long-term, high-value patrons; retain them; and maximize their dollar contributions. That challenge is not easy when studies show 72% of single-ticket buyers do not return, points out npENGAGE article author Chuck Turner, a senior analytics specialist at the Target Analytics agency for arts and cultural clients. So a cost-effective marketing strategy will rely on data analytics both to target those with the highest relationship potential and to personalize messaging and offers for boosted ROI and loyalty. For revenue generation, analysis should look at the value of patrons in terms of the average of all revenue earned, including things such as gift shop and concession sales and tuition for classes offered, as well as ticket sales and subscriptions, Turner urges. That means targeting likely high-revenue prospects, plus targeting the right members of the audience pool for offers of add-ons and upgrades. For both groups, Turner suggests selecting those with higher average income, and thus higher capacity to spend. When it comes to increasing donations, external list data on both discretionary spending ability and nonprofit donation history can be used to target significant nonprofit donor prospects for acquisition, and that data can be appended to the existing audience database to better target for add-ons and upgrades. Turner points to Target Analytics findings that, on average, up to 40% of nonprofit audiences can be top prospects for significant contributory giving--if you communicate to prospects with a message that resonates with their mission-based interest. With limited resources, performing arts marketers need to be more strategic and proactive in focusing on the most valuable segments. This means tracking lifetime value, defined as the net profit attributed to the entire future relationship discounted to its current value. Again, quality data can help target the right people--those with high lifetime value--with the right message. For both audience database and prospecting mailing lists, Turner stresses selecting targets based on charitable giving and income/discretionary spending ability. Conversely, knowing those unlikely to donate or spend helps minimize investment in unprofitable segments. For more, see http://www.acculistusa.com/how-can-performing-arts-marketing-find-the-best-targets/

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/