Backlinko Analyzed 1 million searches. Here's what they found

Sorry if someone already posted this and I couldn't find it. But I found this study interesting.

Here's a summary of what they found,

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.
2. Our data also shows that a site?s overall link authority (as measured by Ahrefs Domain Rating) strongly correlates with higher rankings.
3. 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.
4. 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.
5. HTTPS had a reasonably strong correlation with first page Google rankings. This wasn?t surprising as Google has confirmed HTTPS as a ranking signal.
6. Despite the buzz around Schema, our data shows that use of Schema markup doesn?t correlate with higher rankings.
7. Content with at least one image significantly outperformed content without any images. However, we didn?t find that adding additional images influenced rankings.
8. 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.
9. Site speed matters. Based on data from Alexa, pages on fast-loading sites rank significantly higher than pages on slow-loading sites.
10. Despite Google?s many Penguin updates, exact match anchor text appears to have a strong influence on rankings.
11. Using data from SimilarWeb, we found that low bounce rate was associated with higher Google rankings.
    
    Not really anything new but it's nice to have non-BHW data proving the techniques used here work.

Datias said:

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.

Click to expand...

Search engines can penalize your website.
Links, which were used massively for spamming do not have any effect.

Digitalnt said:

Search engines can penalize your website.
Links, which were used massively for spamming do not have any effect.

Click to expand...

Are you trying to say that links can only get your sites penalized but won't bring any SERP improvement?

10,000 or 100,000 ....... links.
Where is located?
Usually this waste sites.

There will banned from google

Backlinks remain an extremely important Google ranking factor.

Click to expand...

Really? That is ....ground breaking.

Nothing particularly unexpected there really.

I guess I'll be the jerk nerd...

TFA says 1M search results... not 1M searches.

1M results = 100K pages w/ 10 results... but... most high volume searches have 8-9 organic results on page one. The nice round number for sample size would never occur in nature.

If local block and universal blocks are included the error totally goes the other way, but those blocks would pollute the shit out of your correlation data.

There is no correlation coefficient or critical values provided so I think correlation is being used in the loosey goosey way that academics would not accept.

Correlation coefficients take the abnormal weight away from outliers... measurement charts include the outlier weight which is bad because massive outliers distort the averages.

Blending 100K searches across different niches and types of searches is going to average the results of many different algorithms together. Analyzing a single niche and type of search query is a much better reduction of variables than averaging it all together... sample size isn't everything... as long as you are statistically significant then being in a more focused niche is going to be better science.

I would expect smoother curves across such a large sample size. The multipeak charts being averages for 100k searches for each position... that just makes me think those fail for statistical significance. a.k.a. random distributions that look like patterns.

...which means the only thing the study shows is that # referring domain matters.

This post appears to be scraped content. Probably a bot.

Lol, all ground breaking points. BHW has learnt something new now.

Not a bot haha. I wanted to post the link to the full thing but it wouldn't let me because I'm too new.

Backlinko done a great study.

This show that how linkable asset is there.

Matter is:

Not quantity of link

But QUALITY!

Its an old report I guess but most of it makes sense.