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Prep for 2020 Marketing With Clean, Personalized, Predictive Data

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As 2019 closes, AccuList’s data services clients have a year’s worth of multichannel customer, campaign and sales information to analyze and inform 2020 plans. So what are the big trends that the data pros foresee will deliver maximum ROI?

Data Hygiene Issues Remain a Priority

Clean, up-to-date, quality data is still the basis for good marketing analyses and campaign planning. A November Business2Community post by marketer Dan Moyle helpfully summarized the key data cleansing tasks that businesses need to undertake to hit the ground running in 2020. After all, it’s estimated that 20% of the average contact database is dirty, so this is not a trivial effort. Increasing marketing efficiency, response and customer loyalty, requires removing data errors and inconsistencies. 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 entry point. Next validate the accuracy of data across the database by investing in data tools or expert data services, and commit to regular cleansing and maintenance of data quality. Identify and scrub duplicates. Once the data has been standardized, validated and de-duped, improve its analytic value by using third-party data appending sources (to flesh out demographics, psychographics, firm-ographics, purchase history, etc.) for a more complete customer picture. Establish a feedback process to spot and update, or purge, incorrect information, such as invalid e-mail addresses identified by a campaign. And communicate standards and processes to the whole team so that they understand the value of clean data in segmentation targeting, lead response, customer service and more.

Using Data for an Agile, Personalized, Customer-Centric Edge

Data trends figured prominently in the 2019 Martech Conference and a recent article from martech firm Lineate highlights a few keynotes, such as the role of data in personalization. When a 2019 RedPoint Global survey of U.S. and Canadian consumers finds that 63% expect personalization as a standard of service and want to be individually recognized in special offers, personalized marketing is clearly a competitive essential. Expect to see use of Artificial Intelligence (AI) and machine learning (ML) increase in 2020 as personalization tools. Machine learning is when a computer is able to find patterns within large amounts of data in order to improve or optimize for a specific task. For example, for more personalized offers and messaging in acquisition, this means using ML to 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 . Personalization is also key to the customer-centric experience proven to drive long-term retention and brand loyalty–as opposed to getting the same message again and again. When personalization is combined with elimination of data silos and creation of a single customer view across channels, marketing becomes especially powerful. Indeed, integrated database development and the elimination of data silos are also key to the growing “agile marketing” trend. Agile marketing breaks down team silos (which assumes breaking down data silos) in favor of teams focusing on high-value projects collectively. According to a 2018 survey by Kapost, 37% of businesses have already adopted agile marketing, and another 50% said they haven’t yet become agile but expect to be soon.  

Taking Data Insights From Retroactive to Predictive

Looking ahead to 2020, marketers should also consider adding predictive modeling to their toolkit if they haven’t already done so. 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 for reporting and results analysis, it’s not always as good for informing future multichannel directions, for optimizing media investments, or for quick execution and performance assessment. In fact, nearly 80% of Keen/ClickZ survey respondents felt they’d missed opportunities because of slow or inaccurate decision-making using non-predictive data reporting. For example, standard data analysis often fails to span all channels (e.g., online video vs. store-level programming) and mistakenly gives most credit to last-click channels such as search or transactional activities. In contrast, the Keen/ClickZ survey found marketers using predictive modeling boosted results in multiple areas, including a better understanding of the target audience (71%), optimizing of touchpoints on the customer journey (53%), and improving creative performance (44%). Predictive modeling also can help businesses synthesize large volumes of data, a key concern for many; in fact, 38% indicated their current measurement solutions do not support the scale of their data.

 

Is Your Direct Marketing Realizing Personalization’s Potential?

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Every direct marketing effort today starts with an assumption of personalization. In fact, with today’s tech advances in digital data, marketing automation, AI, variable data printing and more, the simple “Dear FirstName” personalization of yesteryear has been replaced by goals such as “hyper-personalization” and “personalizaton 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 appealing to “FirstName” is enough.

It All Starts With Good Data

Before summarizing Feldman’s infographic, we would point out that, 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.

Why Invest in Personalization? Buyers Demand It

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” based on research: Recognize, Remember, Relevance and Recommend. People expect to be recognized by name and to have their preferences remembered so that brands can make suitable recommendations and send relevant offers.

The Payoff Is Big in Financial and Brand Clout

The bottom line shows why the “four R’s” matter. Studies find that 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. This is especially true if the customer experience is consistent across channels. With omnichannel personalization, studies show that marketers can achieve the multiple goals of boosting response, improving customer experience, increasing brand loyalty, driving revenue and delivering creative consistency across channels.

Omnichannel Personalization Includes Direct Mail

While discussions of one-to-one marketing often focus on digital efforts, traditional direct mail also has benefited from the technology trends driving personalization. Of course, a postcard or an envelope are, in a sense, always personalized by name and address for delivery, but inside the envelope or mailer, a letter, reply card, lift note, coupon, etc. can be personalized even more extensively. For example, a personalized pre-filled reply card has the advantages of both increasing response by cutting recipient effort and ensuring reply completeness and accuracy. More important, with enough quality data on recipients and modern variable data printing (VDP), messaging can be modified for each recipient based on database/list information such as purchase history, demographics/firmographics and online activity. A business-to-business campaign can be tailored by industry, title, association membership, online visits and more. A retailer can use product purchase history to craft discount offers, up-sales and cross-sales. An auto insurance mailer can leverage policy expire date, owner age, vehicle information, online quote requests, etc. to create a timely, personalized offer. VDP can even tailor graphics to fit individualized content. Plus, printing a personalized url (PURL) is one option that can take a curious recipient to a personalized online landing page with a pre-populated form and select offers. Or unique QR codes can be printed to take each recipient to a custom, personalized web page. There’s no reason for direct mail to remain stuck in the “Dear FirstName” era of personalization!

Tech & Data Trends Spur 2019 Fundraising Opportunities

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Despite 2019’s many challenges for nonprofit marketers, including competing for attention with political fundraising noise, trends in data analytics and technology offer good news for AccuList’s fundraising clients.

Fundraising Can Leverage Digital Innovations

Consider trends highlighted in this spring’s Nonprofit Technology Conference in Oregon. For example, nonprofit tech pros reported success using Digital Wallets, such as Apple Pay, Paypal and Google Pay, to make donating easier for donors and to increase conversions. AI and chatbots are another boon cited by tech experts, not just because they free up staff from time-consuming interfaces but because they can be used to segment audiences and tailor communications to boost donor acquisition, value and retention. Meanwhile mobile text messaging and mobile giving not only continue to grow in use, but nonprofits are learning to leverage SMS to trigger response, scale donor relationships and engage and motivate communities more fully. Online giving continues its growth path, but there are now more online giving services and their offerings are expanding. For example, Give Lively has free online fundraising tools for text-to-give, peer-to-peer, events, and integration with social media platforms such as Facebook. Finally, virtual-assistant voice services have entered the fundraising arena; for example, Amazon’s Alexa now can help donors verbally contribute up to $10,000.

It All Comes Back to Targeted Data

But for tech innovations to be effective, quality data and data analytics are essential. For example, fundraising efforts can use data to identify and segment those groups of current or inactive donors more likely to increase their donation dollars or flag donors to tap as future legacy donors. And data analytics can combine with real-time marketing automation, triggered e-mail series and variable data printing of personalized direct mail for improved donor acquisition. While the task of data collection and analysis can seem overwhelming, nonprofits don’t need to vacuum up every bit of big data for better results. The key is to collect and track the information in the donor database, or to select the key response factors to target in prospect lists, which are most likely to lead to success. Beyond the basics of name, address/contact, gender, age and date and amount of last donation, data targeting can be enhanced with parameters indicating donor capacity (the ability to give) and donor affinity (the willingness to give). Indicators of donor capacity include personal income/wealth measures, real estate ownership, business title, stock ownership, etc., while donor affinity parameters include the RFM (recency, frequency, monetary) of the donor or prospect giving history, past relationship/interest in a specific cause or affiliated appeal, and political affiliation and giving. Check out this article on donor data from Candid’s Philantopic blog for data management tips.

Beware Assumptions About Donor Data

A good database policy also includes regular hygiene and updating as well as an ongoing check for knowledge/data gaps. Classy, the online fundraising software provider, suggests challenging assumptions of donor knowledge by making sure analytics can deliver on these questions:

  • When are donors most likely to donate?
  • What is the average donation amount?
  • What is the average donation amount?
  • Are there different types of donors?
  • What is the reason for donation?
  • How does the donor liked to be thanked?
  • What is the donor’s communication channel preference?
  • What value does the donor get from donating?

See the rest of Classy’s suggestions on using data for fundraising.

Many Business Publications Fail to Fully Mine Audience Data

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Business periodical marketers come to AccuList USA for help with audience building via multi-channel campaigns. But as data experts, we’d like to remind them that their audience data offers other revenue streams worth mining. Most publishers know that targeted audience data is key to competing for ad dollars; for improved subscriber response via personalization; and for better targeted content marketing, but a recent Adweek article by Jason Downie suggests several other ways to monetize audience data.

Building Valuable Off-the-Shelf Audience Segments

Downie urges publishers to build “off-the-shelf” audience segments that can be sold directly to advertisers, for example. Consider how a seminar promoter could use a business magazine’s data if the publication built an audience of people interested specifically in his topics or proven seminar buyers; the advertiser would be able to enjoy the benefits of tapping not just a business-engaged audience but a strategically targeted set of potential buyers more likely to convert. By creating off-the-shelf audience segments, the publication offers more options for ad clients and more targeted impressions from high-value users. Audience segments can also offer insights that can be further monetized. For example, analytics could show that seminar attendees are four times more likely to share content online. That makes them online influencers, and since influencers are extremely valuable, the publisher can demand a higher CPM. Additionally, an audience segment can open the door to new advertisers and marketers, including non-endemic spending. A business publisher’s analytics may show a subscriber segment visits golf sites as well as the magazine site, for example. The publisher can now woo clients looking to target “golfers.”

Using Data to Win RFPs

Another way publishers can take advantage of data is in the RFP process, according to the Adweek article, noting that the average publisher spends up to 1,600 hours per month, or 18% of revenue, responding to advertiser RFPs. Publishers can develop a customized response to an advertiser RFP, starting with first-party data to build out the RFP-requested audience and then enriching that database with third-party data appending. Digital campaigns can expand targeting by adding lookalikes. Author Downie advises running a portion of an ad campaign without audience or contextual targeting to identify additional audiences, interests, actions and behaviors of those who respond well to the campaign but were not included in the initial targeting.

Turning Data Into New Revenue Streams

Another option for publishers with high-quality audience data is to sell it as “second-party data.”  The data can be sold either directly to another company through a second-party data exchange or through a programmatic data exchange. Second-party exchanges are popular because they are private marketplaces one-to-one with another company, versus an open environment. And, of course, subscriber lists can be monetized as “third-party data,” earning regular rental revenue on the open market and via data brokers. For more detail, see the full article.

Honoring Channel Preference Delivers Fundraising Wins

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Donor control of communications channels is important for efficient fundraising contends DonorVoice’s The Agitator in a recent blog post worth passing along to AccuList USA’s fundraiser and fundraising consultant clients.

Cutting Costs and Boosting Deliverability

Fundraisers fret over opt-out rates in their efforts to grow donor files. Yet failing to learn and honor channel preference not only leads to higher opt-out rates but to wasteful marketing as well. People who opt out of telemarketing or e-mail channels are unlikely to give through that channel, so the resulting file reduction is actually a savings, cutting spending that annoys rather than produces. Plus sending e-mails to people who routinely don’t open them lowers overall e-mail deliverability, reducing e-mails that might get through to those who do want them, for another real but hidden cost.

Increasing Opt-ins and Donor Value

Giving channel control to donors can produce more quality file growth. DonorVoice has done two different tests of what causes people to opt in, and both show that donor communications control is the single biggest factor in whether someone will want to learn more from a nonprofit. Plus, another recent study by DonorVoice and the DMA Nonprofit Federation found that allowing donors control of their communications makes them more likely to donate, and that donors who provide and receive a communications preference tend to be more valuable donors. For example, the National Committee to Preserve Social Security and Medicare coded people who requested less mail and sent them half as many appeals as those who stated no preference.  Those donors who requested and received half as many contacts actually gave more than the group that didn’t express a preference, per the DonorVoice article.  Catholic Relief Services also found that donors who requested a specific mail preference gave 6 to 8 times more per year, notes the same blog post. By asking for communications preference and honoring it, fundraisers identify more quality donors and make them more likely to stay.

Direct Mail Channel Still Leads With Donors

Despite the growth of online giving, channel preferences continue to favor direct mail, which is one reason it is still alive and kicking as a fundraising tool.  In fact, 73% of consumers say they prefer mail for brand communications, and that includes nonprofits, and 62% like checking the mail, per Epsilon research. Plus, mail gives nonprofits an edge in getting their message across since “brain science” research shows that printed appeals leave a deeper impression and stimulate more emotional processing. Plus, direct mail donors have higher retention rates; 31% of first-time offline donors are retained compared with 25% of new online donors, according to Blackbaud. For more on the case for fundraising direct mail, see this DonorVoice blog post.

Promotional Product Marketers Can Hone Proven Tools

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AccuList USA recently completed a proprietary analysis of the top-performing direct mail and e-mail lists for promotional products companies to help buttress the continued success of this evergreen marketing tool.

A Message About Proven Success

Promotional product providers already have some powerful arguments in wooing business-to-business and business-to-consumer marketers. For example, per industry surveys, eight in 10 consumers have one to 10 promotional products, 53% use the giveaways at least once a week, and 60% retain the products for up to two years. Before receiving a promotional product, 55% surveyed had done business with the advertiser, but after receiving a promotional product, 85% did business with the advertiser. With promotional products delivering such regular, repeated brand exposure and enhanced outreach, it’s no wonder the U.S. promotional products industry is forecast to generate $24 billion in 2018, growing at 2.5 % annually.

Many Industries Worth Wooing

Plus, while not every industry is a good target for a promotional product pitch, prospective buyers abound. A recent post by Designhill, a graphic design platform, cited some top promotional users they have supported. Real estate promotions lead in distributing branded notepads, keychains, calendars, magnets, door hangers and more, for example. The education sector often offers writing instruments, apparel, water bottles, folders, and frisbees at college fairs, seminars, expos and open houses. In today’s competitive healthcare market, clinics, hospitals, outpatient clinics and surgery centers go beyond branded tote bags to first-aid kits and custom ice packs. Nonprofits are big consumers of tumblers, tote bags, wristbands and lanyards, while banks, credit unions and insurance firms opt to reward both employees and new accounts with everything from travel bags and mugs to fidget spinners. With the midterm elections ahead, don’t forget that political candidates are a big market for flags, stickers, decals, apparel and hats (following in MAGA footsteps). On a global basis, the top 25 promotional products purchasers include seven from the consumer-goods industry, six from the communications industry, and a dozen more from pharmaceutical, technology and automotive industries.

Targeted Data Available for Mail, Digital & Social

The key to success is targeted data. Promotional products are visual sales, which is why direct mail and catalogs using targeted mailing lists have such a role in the industry. Now social media options such as Instagram, Pinterest, Facebook and LinkedIn also allow for visual, targeted promotions, including video. And tools like AccuList USA’s Digital2Direct can link highly targeted direct mail with social media advertising on Facebook, or send direct mail with timely opt-in e-mail to the same recipients. In a digital world, house e-mail databases, enhanced by LinkedIn connections, lead capture forms or event contacts, are very cost-effective marketing tools for promotional products—as long as the e-mail database is accurate, up-to-date and targeted, which is among the data support services that AccuList USA also offers promotional product clients.

 

 

 

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.

 

 

What Data Questions Should Agency Agreements Address?

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As a data broker and data services provider, AccuList USA knows first-hand that the era of “big data” has created both greater opportunities and greater complications for marketers in terms of access and use of data. In fact, Advertising Audit and Risk Management (AARM), a North American provider of independent advertising audit and consulting services, recently urged advertisers and marketers to review agency contracts to make sure they address evolving “big data” issues.

Unanswered Data Questions Leave Risky Gaps

Data can drive a precisely targeted marketing strategy by leveraging insights from transactional and customer behavioral data–assuming that the advertiser/marketer has the right to receive and use that data. Based on their experience, AARM cites at least six key, but often unanswered, data questions that advertisers should cover in contracts. Those questions include:

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

AARM points out that data ownership is not automatically ceded to an advertiser or marketer despite investment in a media buy generating a data stream. Many within the media chain may try to claim the generated data: Ad agencies, trading desks, publishers, demand-side platforms, and third-party ad servers all may seek unrestricted access, if not ownership, of valuable customer data. That’s why marketers and advertisers need to be sure that legal agreements clearly and consistently spell out data ownership rights, privacy considerations and third-party access rights.

Guarding First-, Second- and Third-Party Data

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

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