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/

Marketing Pros Share Biggest Mistakes (and Fixes)

To err is human, even for the best direct marketers. So it is instructive to learn from marketing pros when they admit mistakes and then share corrections and prevention advice. A recent Direct Marketing News magazine article asked 13 experienced marketers to share their biggest goofs, how they fixed them and lessons learned. Here we'll share just their e-mail marketing stories since we have experience helping clients address the same issues via our e-mail list brokerage support and data services. For example, Guillaume Cabane, vice president of growth at Internet software firm Segment, relates how he failed to take segment crossover and duplication into account. He ended up e-mailing the same user five times in a week because the user appeared in multiple different data sets of people. The subscriber was not only irritated by the flood of e-mail but also confused by "similar but different" messages. The solution? Cabane notes that using data services to exclude recipients who have recently received other communications is one way to avoid the problem. Next the team at Return Path, a leading e-mail data solutions provider, cites several lessons from a failure to update an e-mailed webinar promotion post-testing so that the subject line "TEST" went to the entire subscriber list. To learn about their fix and how they made lemonade from their subject line lemon, as well as other cautionary marketing tales, go to http://www.acculistusa.com/cautionary-tales-marketing-pros-share-e-mail-mistakes-and-fixes/