Tag Archives: Topic Machine Learning

It’s easy to get bogged down with all the changes happening in the marketing world (think: deprecation of third-party identifiers, changing consumer behavior, a pandemic...you get the picture) and forget priority number one, which is keeping our customers happy and coming back to our brand. So, let’s get back to basics and talk about a topic that can save marketers a lot of time and…

Hear from our experts on the specific criteria and Epsilon's ratings in the 2021 Forrester Wave™ on Loyalty Solutions—and why they matter to your loyalty marketing outcomes.

The pandemic has caused significant P&C losses estimated at $100 billion, so for insurance marketing, the need to acquire new policy holders is a top priority.

The pandemic has caused significant P&C losses estimated at $100 billion, so for insurance marketing, the need to acquire new policy holders is a top priority.

For years ‘big data’ has been talked about and utilized in a variety of ways. The most common methods in which non-profits leverage big data is to identify prospects for new donor acquisition and to model housefile donors to determine seasonality, ask and offer. It’s important to note that all these predictions are made possible through the power of machine learning algorithms.

For years ‘big data’ has been talked about and utilized in a variety of ways. The most common methods in which non-profits leverage big data is to identify prospects for new donor acquisition and to model housefile donors to determine seasonality, ask and offer. It’s important to note that all these predictions are made possible through the power of machine learning algorithms.

The “new normal” is a popular term in marketing right now, but the truth is, we’ve dealt with similar seismic shifts before and found our way through them. Following the 2008 recession, direct-to-consumer brands sprung up out of hardships similar to those faced currently during the Covid-19 pandemic: an economic downturn, decreased consumer spending and a decline in job opportunities. Savvy entrepreneurs found smarter, cheaper…

The “new normal” is a popular term in marketing right now, but the truth is, we’ve dealt with similar seismic shifts before and found our way through them. Following the 2008 recession, direct-to-consumer brands sprung up out of hardships similar to those faced currently during the Covid-19 pandemic: an economic downturn, decreased consumer spending and a decline in job opportunities. Savvy entrepreneurs found smarter, cheaper…

Brands want customer relationships that drive performance. It’s a simple statement, yet the pressure on the C-suite to drive growth is palpable, especially in times of disruption and uncertainty.

Brands want customer relationships that drive performance. It’s a simple statement, yet the pressure on the C-suite to drive growth is palpable, especially in times of disruption and uncertainty.

When introducing the concept of artificial intelligence (AI) to clients, I often start with a few basic questions:

Artificial intelligence (AI) is growing in importance in the digital advertising world. According to Forbes, in 2019, the majority of marketers either planned to or used AI in their audience targeting (81%) and in their audience segmentation (80%). And for good reason: AI-supported media allows advertisers to more easily determine whom to talk to, when to talk to them and what to say. Not to…

All too often, companies rush to implement the latest solution in the name of digital transformation only to end up with technical debt. The consequences of implementing the wrong technologies become painfully evident in a disrupted marketplace like the one we’re facing today.

Now, more than ever, it’s important to connect with your customers with timely, personalized content. And to think about how your marketing strategy will support the objectives of your company in the months ahead. So if someone told you that you were ignoring a $42 billion opportunity wouldn’t you want to make a change? Of course you would.

Machine learning has certainly been a “buzz word” within the marketing landscape over the past three-plus years. The difference today is that several brands are implementing machine learning strategies and are seeing positive results. In fact, the overall global artificial intelligence revenues will see a massive growth from just 643.7 million in 2016 to an excess of 36.8 billion in 2025.

Machine learning.