For a well-known national retail brand with a growing social media following, schema optimization helped increase organic conversions by 50% in one month. Six months later, improvements to product tagging, organization, and blog schema helped drive a 230% increase in organic conversion value.
For a local job site, we combined targeting modeling and sitemap optimization to increase organic clicks and impressions by more than 80% in four months.
For an international B2B retailer, improving the existing model formed the basis of the marketing strategy, allowing us to increase the number of ranked keywords in three countries by an average of 70% in 6 months, increase our revenue by 35% compared to the previous period, and create new marketing channels.
For professional service providers, we built EAT-centric bahamas mobile database model optimization into the blog and increased average ranking position by 30% in 3 months and 43% in a year.
Although the target market, goals, and audience were different in each case, I was able to use schema markup as a strategic foundation for a broader SEO and marketing strategy. This is because schema has become an essential element of scalable SEO.
On the website, structured data is a means of defining your content using a uniform set of names and values so that robots and machines can better read, index, understand, and serve your website content. While the term "structured data" can include elements like social media's open graphs, microdata, or any uniformly organized dataset think your CRM, typically when SEOs talk about structured data, we're referring to the structured data markup in JSON-LD specified by Schema.org and recommended by Google .