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