Excessive availability of marketing technology further clouds marketers’ ability to distinguish between good and bad data. You should focus on information that helps brands build deeper relationships with customers. But how do you identify that information — and what should you do when you find it?
Marketers use customer data to craft engaging and personalized emails. However, they need to also consider an email's deliverability and the right time to send. Plus, they have a responsibility to neither misuse or abuse the data they have.
Account-based marketing means marketing to a set of accounts that fit an ideal customer profile (ICP), based on the common traits of previous and existing customers. These common traits can be identified by your sales team and by examining and comparing data points in your CRM. To successfully identify an ideal customer's traits, your CRM must contain quality data. What is quality data? Read on to find out.
In order to help drive revenue, marketers have to bring new leads into the pipeline but also nurture the leads they already have to prime and ready them for sales. They prioritize leads by giving them scores based off relevant customer data. Find out how you can do the same.
Both risks and rewards come with the use of data. Information can be misused, but it can also help you better understand and interact with customers. If you can justify your data management practices and are acting ethically, you will that you are able to communicate with customers with more far precision, quality, and reverence.
Whispering is intimate. If lead generation — the process of creating, maintaining, and monitoring prospect interest — were a spoken conversation, it would be a quiet, one-on-one chat. Shouting, on the other hand, gets attention. It’s the verbal equivalent of demand generation, which is how marketers develop and manage buying interest across a broad body of consumers. Although any message can be shouted or whispered, there’s a reason you use one in certain situations and not...
The use of data has always played a role in helping to map out new digital marketing campaigns. What has changed now, however, is the increasing robustness of the tools and technologies used to analyze that data. For example, the new buzzwords now are artificial intelligence, machine learning, and deep learning. The growing belief amongst digital marketers is that, armed with these new tools, they are getting closer and closer to “cracking the secret” of how to deliver hugely...
Metrics will indicate what is working and not working with your current email marketing strategy. Conversions and revenue are the ultimate two metrics. However, there are other email metrics you should pay attention to in order to gauge just how engaged your recipients are with your emails.
Businesses love having access to so much more data about their audience, customers, competition and overall environment. However, the amount of data is growing exponentially to the point where many companies are struggling to manage this unwieldy amount of information. Thus, many strive to find out how to best work with their data in a way that yields the most insights.