5 Best Practices for Data Cleaning

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

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10 Benefits of a Clean Email List

Email verification and email list cleaning has many benefits. Users who regularly use an email verifier or validation service experience lower bounce rates, increased conversion, increased email ROI, and more accurate campaign statistics. In this slideshare, we discuss the benefits of using an email list cleaning service as part of your overall email deliverability strategy. List cleaning does not replace permission best practices, so it’s important to use double optin and ensure you have permission to email your contacts. Continue reading

Four Steps Email Marketers Should Take Before Using Old Customer Data

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

Keeping it Clean: The Five Step Data Cleansing Process

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

Why Email List Hygiene is Still the Cure for Improving Deliverability

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

Return Path and BriteVerify Partner to Offer Real-Time Email Validation

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

5 Ways Email Validation Can Help All Types of Marketing

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

5 Steps to Data Cleansing of Customer Data

It is necessary for organizations to have an updated database, both for ensuring efficient contact with their customers and maintaining compliance standards. Data Cleansing or data scrubbing is the process of identifying and correcting inaccurate data from a data set. With reference to customer data, data cleansing is the process of maintaining consistent and accurate (clean) customer database through identification & removal of inaccurate (dirty) data. Here, inaccurate data stands for any data that is incorrect, incomplete, out-of-date, or wrongly formatted. Continue reading

Data quality: Whose job is it?

A recent survey suggests a significant disconnect in many organizations between the people creating data and those managing it. The IT department is usually held responsible for maintaining quality data, but those entering the data are not. “Data quality responsibility, for the most part, is not assigned to those directly engaged in its capture,” according to a survey by 451 Research on enterprise data quality. Continue reading

Improve Your Email Marketing With a Clean Prospect List

If you’re a regular reader of CrazyEgg, you already know the importance of building an email prospect list. But, did you know your list needs cleaning occasionally? It’s true, a clean list means fewer complaints, a better return on your marketing dollars, higher engagement from your list, and even a better brand image for your company. Continue reading