SEMrush or Searchmetrics

Data-As-A-Service

SEMrush and Searchmetrics are two well-know Data As A Service vendors in the search marketing community.
Many projects of SEO, SEM and social networks require research and monitoring. The pricing of both Searchmetrics and SEMrush is similar: monthly recurring fees for around $100 for basic features.

Keyword research

Now, one of the key features of these services are providing data about search keywords on the major search engines (Google) in the largest markets.
The data of keywords are typically used to understand the reach and depth of search engine positioning of websites. This in turns allow to map these websites in their category and in relative terms to their competitors.

Benchmark and methodology

In order to evaluate the quality and relevancy of data available at SEMrush and Searchmetrics.
 
Spearman’s rank correlation coefficient
It assesses how well the relationship between two ordinal variables.
The Spearman’s rho is a nonparametric measure of statistical dependence between two variables
> kws.correlation <- read.csv(“kws-correlation.csv”, na.strings=””)
> plot(kws.correlation)
> attach(kws.correlation)
> cor.test(gwt,semrush,method=”spearman”)
     Spearman’s rank correlation rho
data:  gwt and semrush
S = 14832, p-value = 4.411e-06
alternative hypothesis: true rho is not equal to 0
sample estimates:
      rho
0.5665693
> cor.test(gwt,searchmetrics,method=”spearman”)
     Spearman’s rank correlation rho
data:  gwt and searchmetrics
S = 7310, p-value = 0.007778
alternative hypothesis: true rho is not equal to 0
sample estimates:
      rho
0.4076655
> cor.test(semrush,searchmetrics,method=”spearman”)
     Spearman’s rank correlation rho
data:  semrush and searchmetrics
S = 2, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
      rho
0.9878788

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