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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.

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

Use Key Direct Marketing KPIs to Gird 2018 Plans

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The busy year-end holiday season, especially for fundraisers and retailers, should not distract direct marketers from the working on the analytics they need to finalize next year’s marketing plans and ROI. A recent post by the Digital Dog Direct agency helpfully offers a checklist of basic marketing Key Performance Indicators (KPIs).

Spending and Lead Generation

Marketing ROI is about effective spending and requires tracking results by channel and campaign. KPIs use actual annual outlay for direct mail marketing (lists, print, lettershop, creative, postage), digital marketing (e-mail, SEO/SEM, landing pages, social media and creative), as well as spending on PR/events/brand/content marketing.  Marketers must keep a tally of the number of outbound leads attributed to direct mail or e-mail campaigns, as well as the inbound leads generated by efforts such as SEO, blog content or PR. Then a cost per lead acquired can be calculated by dividing annual expenditure by the number of leads generated. Since the ultimate goal is sales not merely leads, the percentage of leads that become paying customers and the dollar sales per lead are key measures.

Multi-channel Performance Rates

Beyond evaluating general performance, marketing planners should use measurement to fine-tune future marketing plans and budgets. This means identifying the response rates and conversion rates for each channel, for each direct mail and digital campaign, and for tests of creative, timing, frequency, lists and segments. Performance rates should be measured not only for campaigns to acquire new leads/customers but also targeting of existing customers and reactivation of dormant customers. Website traffic reports from Google Analytics can not only show online ad and SEM effectiveness but also track spikes around direct mail or e-mail promotions to give a fuller picture of response. A simple ratio of the annual return on marketing investment, or ROI by channel and campaign, can be calculated by adding up incremental sales from marketing and subtracting marketing amount spent, and then dividing the result by amount spent on marketing.

Long-term Growth of High-Value Customers

But remember that a focus on annual or campaign results can be myopic since these do not necessarily deliver long-term growth–for example if attrition is high so more customers are lost than added. Marketers need to look at customer and prospect databases to make sure they are growing year-over-year. Because acquiring a single sale per lead also is less profitable long-term than acquiring a repeat customer, measuring average customer lifetime value is a vital KPI and is calculated by multiplying average dollar sale per customer by the average number of purchases per year and the average retention time in years.

See the full article for the KPI checklist.