In this day in age, you can’t find a modern SEO guide that doesn’t recommend using the schema as part of your overall search strategy, and for a good reason. Schema markup, which has been supported by all the major search engines (Google, Bing, Yahoo, DuckDuckGo, etc.) for the better half of seven years now, has abysmal adoption rates. Seen across all ends of the spectrum, from intimidating to superfluous, most of the time talking with the SEO community its use is simply avoided due to the time it takes to implement. Like writing meta titles/descriptions, schema markup data is a very contextual, backend aspect of SEO which isn’t an inheritance ranking factor. So, the returns of adopting schema are outweighed by the time it takes to implement across hundreds to thousands of URLs. But, what if there was a way to automate the process?
During a presentation I gave at Distilled’s SearchLove Boston conference in early May, I advocated that people use the slope formula and Google Trends data to determine if interest keywords have grown over time or if they are slipping away into searcher oblivion.
The only problem with this, is that unfortunately Google doesn’t provide an official API for Google Trends, so we need some Python wizardry to do this in bulk.
My email list is…
- 75.57% Male
- 24.43% Female
- 15.27% Ages 16-20
- 37.40% Ages 21-30
- 31.30% Ages 31-40
- 9.16% Ages 41-50
- 5.34% Ages 51-60
- 1.53% Ages 61+
I determined this using a picture of your face.
Let me explain… Continue reading