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/
David Kanter, President and CEO of AccuList, is a list brokerage and direct marketing expert. For more than 30 years, he has helped companies and nonprofit organizations achieve their marketing goals. With David's Direct Marketing Forum, he shares, and invites others to share, helpful direct-marketing industry news, trends, analyses, resources, and tips for success. Please read our Comment Policy.
Showing posts with label merge-purge. Show all posts
Showing posts with label merge-purge. Show all posts
Wednesday, September 4, 2019
Monday, July 16, 2018
Smart List, Mail Design Cut Postage Costs
Maximizing direct mail ROI requires cost efficiency, especially in the postage realm. Good list selection and hygiene are key to avoiding mailing waste. Another important factor in controlling postage costs is mail package design. If you are sending mailings to the wrong people, people unlikely to be interested in your offer, lower response rate and cost inefficiency will be reflected in poor ROI. Using tools from predictive modeling to customer profiling to segmentation can improve list choices and targeting parameters. Plus, AccuList USA's proprietary list research can help clients find the top-performing lists for their specific vertical market. But no matter how data is targeted, dirty data with duplicates, errors, invalid addresses, and old demographic or purchase history information will create costly delivery failures and misdirected waste. That's why AccuList USA goes beyond list brokerage to provide expert merge-purge services that combine and standardize data in order to eliminate duplicates, identify and correct old or undeliverable addresses, verify zip codes, and maximize postal discounts. In fact, by comparing names and addresses to real-time information on multiple public and private databases, AccuList USA offers an advanced hygiene regimen that is able to identify and correct twice as many addresses as standard USPS FASTforward and NCOALink use, which only represent a portion of U.S. movers and undeliverables. USPS offers postage discounts to mail pieces that are not only addressed correctly but also designed for processing on automated equipment. For mail to qualify for the lowest postage rates, the mail piece needs to be at a letter size, which is a minimum of 3 ½" high by 5" long and a maximum of 6" high by 10½" long. Larger mail pieces fall into the flat category, which can cost more than twice as much per piece as a letter. Plus, to take advantage of automation, the piece must by rectangular, with an aspect ratio (length divided by height) of 1.3 to 2.5, or risk costing twice as much in postage. The addressing and barcode block on letter size mail also must fit into the USPS OCR read area to avoid additional postage. Naturally, weight matters. Keep the weight of a folded self-mailer under 1 ounce; if the piece weighs over 3 ounces, it must go in an envelope. Thickness counts, too. If a mail piece is less than 0.009" thick, it costs more in postage. On the other hand, the maximum thickness for letter size mail is ¼" and for flat size is ¾". For more, see http://www.acculistusa.com/smart-list-mail-design-choices-help-save-on-postage/
Labels:
data hygiene,
direct mail,
direct mail creative,
direct mail lists,
duplicates,
mail delivery,
mail design,
merge-purge,
NCOA,
postage discount,
predictive modeling,
profiling,
ROI,
segmentation,
targeting,
USPS
Subscribe to:
Posts (Atom)