What is SEO
SEO A/B Testing is the process of experimenting with multiple variations of elements affecting your website's performance in search engines such as content, metadata website structure, internal linking and so on.
How does SEO A/B Testing Differ from Split A/B Tests
Unlike split A/B testing which is common for on-site performance optimizations such as increasing email signups, it is not possible to simultaneously run multiple variations of SEO content at the same time. Because of this, SEO A/B Testing runs in a more linear fashion.
Each variation is placed live, one after the other for the same period of time. During the SEO A/B Test, the impact of the change needs to be monitored to identify the effect of that variation on SEO performance. Each variation may have a unique impact on Impressions, Rankings or Click-Through Rates.
By consistently monitoring each variation your will be able to understand which variation has the biggest positive impact on your web page and incrementally improve your website's performance over time, page by page.
Why is Metadata important?
- The only content you have control over inside any search engine
- Used by search engines to quickly understand your page's purpose and content
Metadata is intended to be a short and efficient summary about your page's content that combined gives any search engine a detailed overview of your pages content. It is also displayed to potential visitors every single time your page is listed in a search results page in a search engine.
How will A/B Testing my Metadata benefit my website?
- Quantify the performance of your metadata
- Improved CTR and understanding of content that engages your audience
- Your Trojan Horse into the SERP
Metadata is an often overlooked factor in SEO which is surprising to us because it is the only piece of content that you can customise in any Search Engine.
Well written metadata can be like Your trojan horse, working for you inside the search engine's own pages by standing out to potential visitors as an engaging piece of content.
With Metadata A/B Tests you can monitor the impact each metadata variation has on a webpage's Rankings, Impressions, Clicks and Click-Through Rates on a per search term basis. This means that you can increase your organic traffic through a combination of optimized Rankings and higher Click-Through Rates.
How Polkadot Tiger can help with A/B Testing your Metadata
- Saves you time so you can focus on doing what really matters
- Automate the time-consuming aspect of SEO A/B Testing
- Enable you to dive into the performance data for each variation
- Evaluate performance on a per search term basis
The biggest challenge with SEO A/B testing is that it is a process spread over a period of several days or weeks that requires daily actions. Polkadot Tiger can help with this by automating the time-consuming daily tasks in the process. This allows you to focus on the areas of A/B Testing tht really matter, creating engaging metadata and evaluating the performance of completed tests.
Once a Metadata A/B Test is created, Polkadot Tiger will automatically switch your metadata variations on the right dates and monitor the impact on your page's Rankings, Click-Through Rates, Clicks and Impressions.
When your test is completed, Polkadot Tiger will display a comprehensive performance summary of your page's performnce during every day of the test. Using this you can see performance on a per search term or average basis to understand which variation delivers the levels of performance you desire.