Data-Driven Content – Short explanation

Data-Driven Content is a type of analytic strategy used for online content marketing campaigns. The data used to create the content is obtained from a customer profile or buyer persona. This data is collected from a targeted audience who will buy a service or product and become returning buyers. Data-Driven Content uses customer profile information to create effective content marketing campaigns. To fully understand Data-Driven Content, one must have a knowledgeable base of what content marketing entails.

Definition of Content Marketing

The Content Marketing Institute defines content marketing as a strategy to market products and services by creating and disseminating valuable, relevant, and consistent content that attracts and retains a targeted population of buyers for specific services or products. Content marketing employs different media to educate and entertain its audience in order to drive them to buy. Neil Patel, a world-renowned leader in SEO and content marketing, suggests using some of these 15 types of content as content marketing strategies:

  • Infographics
  • Memes
  • Videos
  • Guides
  • Book Reviews
  • Opinion Posts
  • Product Reviews
  • How-To-Guides
  • Numbered Lists
  • Link Pages
  • Ebooks
  • Case Studies
  • Podcasts
  • Interviews
  • Research and Original Data

Content can be ordered from content agencies like clickworker!

The Data

Data for Data-Driven Content is collected from online customer information and conversations to become digitally human and build genuine relationships with a targeted audience. Neil Patel defines this data as:
“Factual information generated from experiments, surveys, or testing that is used as a basis for forming conclusions.”
Content marketing strategists never personally meet their customers and must establish relationships with customers who will buy a service or product and remain loyal.

Create the Customer Profile or Buyer Persona

Procure data for Data-Driven Content by conducting experiments, surveys, and case and research studies. trust. Use Integrated Online Assistance on the website. This data can consist of statistics, stories, videos, and graphics that entertain and educate prospects.

  • Company Product/Service Does What: Customer problem/Define product/service education and solutions
  • Keyword Research—Use Google Analytics and SEMRush: How does the customer search for the service/product? How do customers behave on websites?
  • Research Marketing Trends and Statistics: Mine data from media and industry standard websites like Forbes, Kissmentrics, and Statista.
  • Document Content Marketing Strategy Results: Clearly define the purpose of the content
  • Record Website/Visitor Statistics: Google Ranking of Website, Number of Visitors/Commenters, Number of Social Media Shares, Click Through Rates (CTR), Email Open Rates, Lead Email Addresses Collected
  • Know and Learn the Targeted Audience/Buyer Persona: What does the target care about and believe in besides the product/service offered? Which niches does the audience fit into? What is the target’s buying cycle?

How the Data Is Driven

  • Clearly Define a Topic, Angle, and Slant for the Content: For every content marketing piece published.
  • Create a Content Editorial Calendar: Ideas for consistently producing quality content require time and planning.
  • Clickable Headlines: 8 of 10 blog readers read headlines vs. 2 of 10 that read the article. Who clicks through to the website?
  • Add Quality Research Data to Content Marketing Headlines: Achieve higher percentage of CTR.
  • SEO/Inbound Links/Outbound Links/: Search Engine Optimization that uses white hat practices, Links to other pages on company websites, Links to other websites that promote website content credibility.