In CRO tests, the best practice is to randomly assign each user to a control and a different group. This works to ensure that the two groups are essentially the same, as a large number of users are involved.
In the SEO distribution test, we need to give this approach more weight. For sections of a site with a very large number of pages, where traffic is well distributed across them, a purely random approach can bangladesh number data to adequate bookkeeping, but most websites have some pages that receive more traffic, and some less. At the same time, some pages may have different trends and increases in traffic, especially if they serve a specific seasonal purpose.
To ensure that page controls and different groups are statistically similar, we create them in such a way that they:
Similar total traffic levels.
Similar distribution of traffic between the pages within them
Similar trends in traffic over time
Similarity to a range of other statistical measures
4. Running SEO Split Tests Using JavaScript
For many websites, making changes is very difficult, and distributing them is difficult. One solution that many sites use (and that I have recommended in the past ) is to deploy changes using a JavaScript-based tool like Google Tag Manager.
Besides the fact that we've seen pages that rely on JavaScript perform worse overall , another problem with this is that Google doesn't consistently pick up changes that are implemented via JavaScript. There are two main reasons for this:
Arbitrarily bucketing pages
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