Data cleansing is hard to do, hard to maintain, and hard to know where to start. There seem to always be errors, dupes, or format inconsistencies. One of the most challenging aspects of data cleansing has got to be maintaining a clean list of data, whether it’s sourced from multiple vendors or manually entered by your hard-working interns, or a combination of both. Continue reading
Before implementing data cleaning, it’s important to look at the big picture, otherwise you may drown in a mess of old, inaccurate contact data. What are your goals and expectations? How do you plan to execute it successfully? As you implement data cleaning, keep the following tips in mind. Continue reading
A crowd of people gathered around a cornerstone of a building in Brooklyn. They could barely contain their excitement that October day in 2014.
A time capsule from 1950 was about to be opened, revealing mysterious contents. No one knew what to expect. Historical treasures? Letters from the past? Maybe even gold bars or valuable collectibles? The crowd strained to hear what officials would announce to the crowd as they opened the container. Continue reading
Data cleansing is hard to do, hard to maintain, hard to know where to start. There seem to always be errors, dupes, or format inconsistencies. One of the most challenging aspects of data cleansing has got to be maintaining a clean list of data, whether it’s sourced from multiple vendors or manually entered by your hard-working interns, or a combination of both. One mistype could create a whole myriad of problems within your database, and can lead to hours upon hours of manual cleansing that could so easily have been avoided. So what is the solution to these frustrating, time consuming problems? Continue reading
If I were to ask every email marketing professional his or her top headache-inducing challenge, I’m willing to bet it would have something to do with email deliverability.
In 2014, Marketing Land reported 11% of permission-based email marketing campaigns were blocked and 6% ended up in people’s spam folders. With ISPs moving toward engagement-based filtering, in which specific subscriber signals determine how and where email should be delivered, accessing and analyzing email and subscriber data are essential to help senders improve deliverability. Continue reading
Email verification solution helps marketers purge invalid email addresses, reducing bounce rate by up to 98% and improving email deliverability.
New York, NY and Charlotte, NC: Return Path and BriteVerify today announced a partnership that will bring BriteVerify’s email verification technology to Return Path customers. With Real-Time Email Validation, marketers can instantly identify and remove invalid email addresses from their subscriber list, reducing undeliverable mail by up to 98% and improving sender reputation. Continue reading
There is only one drawback to data-driven marketing: It requires conclusive, comprehensive data to be effective. While this may seem obvious, some brands continue to make important decisions about their marketing with an inaccurate or incomplete email database. Unfortunately, if they don’t do anything to verify their data (particularly user email addresses), they’ll be unaware of one of the primary reasons their marketing efforts failed. Continue reading