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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.

Predictive Analytics Can Harness Data for Marketing ROI

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Beyond list brokerage, AccuList can support direct marketing clients with “predictive analytics,” meaning scientific analysis that leverages customer and donor data to predict future prospect and customer actions. It will scientifically “cherry-pick” names from overwhelming “big data” lists and other files. For example, AccuList’s experienced statisticians build customized Good Customer Match Models and Mail Match Models to optimize direct mail results for prospect lists, as well as one-on-one models for list owners to help acquire more new customers or donors. Plus, predictive models aid other marketing goals, such as retention, relationship management, reactivation, cross-sell, upsell and content marketing. Below are some key ways predictive analytics will harness data for better marketing ROI.

More Swift, Efficient and Effective Lead Scoring

Lead scoring is too often a sales and marketing collaboration, in which salespeople provide marketers with their criteria for a “good” lead and marketers score incoming responses, either automatically or manually, for contact or further nurturing. Predictive analytics will remove anecdotal/gut evaluation in favor of more accurate scoring based on data such as demographics/firmographics, actual behavior and sales value. It also speeds the scoring process, especially when combined with automation, so that “hot” leads get more immediate contact. And it allows for segmentation of scored leads so that they can be put on custom nurturing tracks more likely to promote conversion and sales.

Better List Segmentation for Prospecting, Retention and Messaging

With predictive analytics, list records can be segmented to achieve multiple goals. The most likely to respond can be prioritized in a direct mail campaign to increase cost-efficiency. Even more helpful for campaign ROI, predictive analytics can look at the lifetime value of current customers or donors and develop prospect matching so mailings capture higher-value new customers. Predictive analytics also can tailor content marketing and creative by analyzing which messages and images resonate with which customer segments, identified by demographics and behavior, in order to send the right creative to the right audience. Finally, analytics can develop house file segmentation for retention and reduced churn, looking at lapsed customers or donors to identify the data profiles, timing inflection points and warning signs that trigger outreach and nurturing campaigns.

Optimizing for Channel and Product/Services Offer

Data analysis and modeling can also be used to improve future marketing ROI in terms of channel preferences and even product/services development. By studying customer or donor response and behavior after acquisition, analytics can identify the most appropriate promotion and response channels, communication types, and preferred contact timing by target audience. Plus, a customer model can match demographics, psychographics and behavior with product and offer choices to tailor prospecting, as well as upsell or cross-sell opportunities, to boost future results.

Committing to a Good, Clean Customer Database

Reliable predictions require a database of clean, updated existing customer or donor records, with enough necessary demographics/firmographcs and transactional behavior for modeling. So, to prevent garbage-in-garbage-out results, AccuList also supports clients with list hygiene and management, including hygiene matching for DO NOT MAIL, NCOA and more, data appending of variables from outside lists, merge-purge eliminating duplicates and faulty records, response tracking with match-back, and more advanced list screening options.

How Can Performing Arts Marketing Find the Best Targets?

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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.

Identify & Understand the Best Audience

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.

Target to Increase Revenue & Donations

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, since it’s easier to increase revenue from existing patrons than to acquire new ones, 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. According to the Bureau of Labor Statistics, the average high-income person spends over $8,200 on entertainment each year, so if average program revenue per attendee is $34.33 (the average performing arts program revenue per attendee in 2013), there’s room to grab a bigger share! 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.

Segment to Maximize Lifetime Value

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 https://npengage.com/nonprofit-fundraising/arts-fundraising-and-analytics/

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.

 

Data & Content Are Keys to Profitable Audience Building

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After long experience supporting publishers and media owners in circulation/audience growth, AccuList USA can affirm that, in the age of big data and exploding digital content, targeted data quality and database management are more essential than ever to profitable audience development.

It’s All in the Data

A recent Marketo blog post backs up that assertion with their advice. Demographics and firmographics are a key starting point, but now media owners also can mine transactional data, behavioral data, and psychographics/interests across channels, the post notes. Smart use of first-, second- and third-party data allows for tailored content, offers and channel targeting. As the Marketo article explains, “For example, you may know that a reader is a part of a cohort that is female, between 18-35 years old, with a household income between $64-96K….But what could you do–in terms of engagement–if you learn through her content consumption patterns that she’s interested in football, responds to sponsored content from travel brands, and mostly responds to content that’s shared on Facebook?”

And Data Management

Yet more data from multiple sources–web, print, mail, e-mail, social media–also presents challenges, and Marketo cites Folio’s recent survey of publishing leaders, which found 71% citing data management as a top priority for creating and monetizing media products. The solution is a single hub for audience data and automated cross-channel processing in real-time, the post advises. With a complete data profile of the audience, the focus can turn to delivering the right message at the right time to the right target. And we would add that an effective database will require strategies and support for data hygiene, database appending, analytics, and segmentation as well as automated triggering of messages across channels. Automation doesn’t apply only to digital messaging, by the way; marketers can capitalize on direct mail’s top response and brand engagement with automated mail triggering based on digital activity.

Commitment to Content

In publication/media marketing even more than other brand marketing, content counts. Faced with ever-growing digital content noise, media owners must work even harder to deliver content that interests and engages the target audience. To that end, a helpful Content Marketing Institute article by Neil Patel recently listed four common mistakes. No. 1 is offering content of more interest to the brand/publisher (and its advertisers/partners) than to the audience. Only audience-centric content builds audience. No. 2 is to focus only on selling in marketing messages, especially if poorly targeted. The long-term value of authenticity and relationship building suffers when the sales pitch is obvious and not personalized. No. 3 is an SEO addiction to the point of stuffing keyword phrases and irrelevant links into content, which can turn off and confuse readers and even earn search engine penalties. And No. 4 is an obsession with content quantity over quality. Simply delivering more content more often than competitors, especially if it is unwanted, sloppy and self-serving, is likely to turn off audiences. For good content marketing examples, go to Patel’s content marketing article.