Shirley Zhao is a Digital Marketing Specialist at Experian Data Quality. She spends her time researching and identifying ways to expand the company's digital reach. Shirley enjoys reading, Netflixing, and practicing Muay Thai in her free time.
After running email campaigns, performance metrics start flowing in. There is a gratifying feeling in seeing open rates and click-through engagement. But there are other metrics that indicate the success, or even lack of success, of your email campaigns; yes, I am talking about bounce rates. High bounce rates are the bane of any email marketer’s existence, but they are very common.
So, how you can reduce bounce backs and see better ROI from your email marketing campaigns? The answer may be simpler than you think.
Think of classic combinations: peanut butter and jelly, summer and beach days, mornings and coffee. Though the components that comprise these pairings do just fine on their own, they are somewhat incomplete without the other. That’s how you should think of data governance and data quality.
Data is truly at the heart of every organization. We use it to back up business proposals and initiatives, prepare forecasts and projections, pinpoint areas for improvement, and substantiate cases we try to build. We can’t rely solely on instinct and gut feeling because they are intangible, and with the amount of information collected in today’s data-driven society, most businesses have come to expect the credibility that data brings and are investing in that power.
Extract, transform, and load (ETL) is the process of integrating data from multiple, typically disparate, sources and bringing them together into one central location. It is a key component to businesses successfully making use of data in a data warehouse.
Sure, the process itself is fairly straightforward, and when done right, ETL prepares an organization for powerful business intelligence initiatives. However, a lot goes into a successful ETL process. Let’s discuss the three steps involved and why data management practices are an essential foundation to carrying ETL out properly.
We've used this analogy many times here at Experian Data Quality, but that's only because it makes a lot of sense when referencing data standardization. What analogy am I talking about? The one where we discuss how a robust data management strategy relies on a methodical, step-by-step approach—much like how you'd approach building a house.
There are many different variations in the way addresses can be written, depending on which country you're in, which country you're mailing to, where you got the address information (a business card, a postal authority, an email signature, etc.), how recent the addresses are, and whether they have all the required parts of a complete address. All these factors contribute to potential areas of inaccuracies in address data.
Here's what you can do to verify your address data:
In the digital marketing world, the term “big data” is thrown around a lot. By definition, big data is extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
As a small business, your data may not be classified as “big,” but it’s incredibly important to the growth of your business. Contact data, in particular, is something that small businesses need to focus on.
In this post, we've partnered up with JustUno, a conversion optimization platform, to take a look the value in collecting lead and customer contact data, and see why ensuring the quality of contact data is critical for small businesses.
This title is a quote—and what a quote, huh? I nabbed it from a video about Google’s exploration into virtual reality. But it resonated with me because it was new; it was unique, and it was such a refreshing change to the same things I hear over and over again.
And so, this post is a tribute to the original, to the ideas that I hadn’t read a million times over. These are 9 of the most memorable quotes I heard from the speakers at Content Marketing World 2016 and why I think they’re worth sharing.
The hype around Pokémon Go has shown us one thing extremely clearly: that marketers can now start thinking about augmented reality (AR) as the next step in reaching out to consumers and monetizing a channel.
What started as an April Fool’s joke back in 2014 has turned into the most downloaded app in Apple’s App Store and the biggest mobile game in U.S. history. Well done Niantic, so well done.
No one should dispute the importance of mobile in today’s shopping journey. But what may be disputed is whether the focus should be on mobile apps or mobile browsers. I’m here to tell you why, before you go all out in developing a mobile app, you should consider optimizing your mobile browsing experience first.
It may go against what a lot of your peers are saying, but the mobile browsing experience is paramount to the mobile app experience. Your mobile apps house your most loyal customers; they’ll come back to you no matter what (unless, of course, you miss spectacularly on their expectations). If you want to continue growing your customer base, however, making sure new shoppers have a good experience all around means investing in a better mobile browsing experience. Let’s find out how to go about that, shall we?