2016: We Analyzed 1 Million Google Search Results

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Brian Dean Feb. 24, 2016

We Analyzed 1 Million Google Search Results. Here’s What We Learned About SEO:

Here is a Summary of Our Key Findings:

1. Backlinks remain an extremely important Google ranking factor. We found the number of domains linking to a page correlated with rankings more than any other factor.The Number of Referring Domains Has a Very Strong Influence on Rankings. You may have heard that getting backlinks from the same domain has diminishing returns. In other words, it’s better to get 10 links from 10 different sites than 10 links from the same domain. According to our analysis, this appears to be the case. We found that domain diversity has a substantial impact on rankings. Google wants to see several different sites endorsing your page. And the more domains that link to you, the more endorsements you have in the eyes of Google.In fact, the number of unique referring domains was the strongest correlation in our entire study.

Key Takeaway: Getting links from a diverse group of domains is extremely important for SEO.

1. Our data also shows that a site’s overall link authority (as measured by Ahrefs Domain Rating) strongly correlates with higher rankings.

2. We discovered that content rated as “topically relevant” (via MarketMuse), significantly outperformed content that didn’t cover a topic in-depth. Therefore, publishing focused content that covers a single topic may help with rankings.

3. Based on SERP data from SEMRush, we found that longer content tends to rank higher in Google’s search results. The average Google first page result contains 1,890 words.

4. HTTPS had a reasonably strong correlation with first page Google rankings. This wasn’t surprising as Google has confirmed HTTPS as a ranking signal.

5. Despite the buzz around Schema, our data shows that use of Schema markup doesn’t correlate with higher rankings.

6. Content with at least one image significantly outperformed content without any images. However, we didn’t find that adding additional images influenced rankings.

7. We found a very small relationship between title tag keyword optimization and ranking. This correlation was significantly smaller than we expected, which may reflect Google’s move to Semantic Search.

8. Site speed matters. Based on data from Alexa, pages on fast-loading sites rank significantly higher than pages on slow-loading sites.

9. Despite Google’s many Penguin updates, exact match anchor text appears to have a strong influence on rankings.

10. Using data from SimilarWeb, we found that low bounce rate was associated with higher Google rankings.

We have detailed data and information of our findings below.

http://backlinko.com/search-engine-ranking

Tole je nekoliko bolj kompleksno po moje.
Najprej, ta stvar deluje na nekaterih trgih, ne na vseh. Ko sem se pogovarjal z Random je takrat rekel, da je to opazil na US in UK marketu, torej marketih, kjer je bil do konca roloutan eden izmed Penguinov, ne vem sedaj kateri iz glave.
Dodatno ko nekdo v threadu omenja bounce rate in TOS, še vedno mislim da te metrike na takšen način, torej tiste, ki so vidne v GA ne vplivajo na SERP, saj je Google večkrat javno povedal, da SERP team ne vidi GA podatkov. Kar pa seveda ne pomeni, da podobne metrike ne vplivajo na SERP. To, ali se user vrne nazaj na SERP po obisku spletne strani in klikne nekaj drugega (kar je podobna metrika kot bounce, samo da ni bounce) je pa nekaj, kar vpliva na SERP in je neka quality metrika.
Je to dolgoorčno pametna stvar za SEO? Ne vem, če se splača vlagati v to, raje se vlaga v to, da dolgoročno zlezeš na visoke pozicije, seveda pa v določenih primerih, v določenih nišah, je to lahko čisto pametna taktika.

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