Glossary
Audience Segmentation (i.e. Customer Segmentation)
Audience Segmentation is the process of breaking a large audience into smaller chunks, or segments. The purpose for this is to match products, services and messages with the audience that will be most receptive to it.
18-year-old men and 70-year-old women may not want the same services you offer, for example, but if they’re both in your customer base, you’d want to separate them so that you can send them information that will be relevant to them.
Some software tools and services will even boast individual segmentation levels, with audiences of one. This refers to content that is delivered to users based on their past web behavior, so that what one person sees is unique to them.
Related Terms
Glossary
B2B
B2B stands for Business to Business. It refers to businesses whose services or products are intended for other businesses, rather than direct to individual customers (B2C). Some industries, such as financial services, can be both B2B and B2C depending on the type of services being offered.
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Glossary
Boutique Web Design Agency
Website design group that creates custom, more personalized websites for their clients. Many organizations choose to work with boutique agencies because it’s easier to develop an ongoing relationship with them and craft a unique website that separates a company from their competition. Conversely, some boutique agencies are small enough that they cannot provide comprehensive web and marketing services, but rather specialize in a small subset of project types.
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Glossary
Analytics
Analytics in digital marketing can refer to any type of analysis of data collected from a digital source. Trends and insights from this data can inform business decisions.
Google Analytics is a specific analytical platform, designed to monitor and analyze web traffic. However, there are hundreds of different analytical tools available online, and thousands of types of analysis. Structuring your analysis to focus on the most important data points is key in avoiding confusion.
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