This article was written by Julio R. Sanoja on September 06, 2018.
Data categorization is important in digital marketing for small businesses in order to be effective, efficient, and satisfactory in article campaigns and advertising campaigns.
There are two types of digital marketing campaigns for small businesses: article campaigns (content campaigns), and advertising campaigns.
Article campaigns and advertising campaigns need data categorization in order to have effective, efficient, and satisfactory results and metrics.
Data categorization in article campaigns
Small businesses need to categorized and sub-categorized their brands, products, services, and customer needs. These categorizations and sub-categorizations will be used to perform the key phrase and key words analysis (KA) required to design the titles and topics for the article marketing campaign, and to design the Google Ads search ads.
Data categorization in advertising campaigns
Small businesses need to categorized and sub-categorized their audiences and contents. These categorizations and sub-categorizations will be used to perform the advertising campaigns segmentation and targeting.
For business to consumer businesses, categorization must include geographic locations, age, gender, interests, topics, words, and websites.
For business to business businesses, categorization must include geographic location, company name, company industry, company size, job title, job function, job seniority.
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This article, and all our previous articles, are originally published at our Blog at https://www.msalesleads.com/category/articles/ , and then they are distributed in all our social network pages, and email marketing.
About the Author:
This article was written by Julio R. Sanoja, owner and founder at MSalesLeads, a digital marketing agency for small and mid-size businesses in Miami, Florida. We help small and mid-size businesses to go and grow their businesses online; position their brands, products and services online; and get qualified leads and new customers online. We have been doing this for the last 16 years. You can write me email@example.com or you can call me 305-918-9793.