How to Keep A/B Testing from Hurting SEO
Table of Contents
- Can A/B Testing and SEO Coexist Harmoniously?
- What to Avoid When Conducting an A/B Testing of a Campaign?
- How Can Split Testing Affect SEO Through Content Changes?
- How Do You Mitigate Novelty Effect in A/B Testing?
- Properly Implementing Redirect Experiments
- Managing Redirects Effectively
- A/B Testing Without Killing Speed and Performance
- Ending Experiments on Time
- Treating Search Engine Bots Like Regular Users
- CRO Doesn’t Work Against SEO; It’s the Most Natural Thing to Do After SEO
- The Importance of Mobile Responsiveness in A/B Testing and SEO
- Get in Touch for Expert Digital Marketing Help
Navigating the complex landscape of SEO involves juggling multiple variables, with content, backlinks, and site speed being the most critical.
Experiments aimed at optimizing conversion rates, such as A/B tests, personalizations, or split URL tests, can influence these key SEO factors.
Can A/B Testing and SEO Coexist Harmoniously?
Google not only advocates for website testing but also provides its own tool for A/B testing and experimentation, known as Google Optimize.
According to Google’s A/B testing guidelines, when executed correctly, A/B testing has minimal impact on SEO. Small alterations like button size, color, or CTA text can significantly influence user behavior without affecting your search rankings.
Recommended Resource: Common SEO Mistakes That Can Tank Your Conversion Rates
What to Avoid When Conducting an A/B Testing of a Campaign?
A/B testing can resemble cloaking since you’re essentially serving different content to users and search engines. However, this doesn’t qualify as cloaking according to Google’s definition, which involves intentionally deceiving search engines to manipulate rankings.
The real issue arises if you configure Googlebot to receive a specific version of your site, which we’ll discuss later.
How Can Split Testing Affect SEO Through Content Changes?
During A/B tests, you might alter elements like your page’s headline or CTA button. If these changes negatively affect your on-page SEO, you’ve got a problem.
For example, if you’re testing a new headline, it needs to be optimized for both SEO and conversions. If the new version outperforms the original, implementing it shouldn’t harm your SEO.
Recommended Resource: A/B Testing Statistical Significance Calculator
How Do You Mitigate Novelty Effect in A/B Testing?
Striking a balance between A/B testing and SEO becomes trickier with personalizations, as the risk of content duplication and changes in personalized variants is higher. However, remember that Google has already indexed your original page. You can set this as the canonical version to preserve its SEO value.
Properly Implementing Redirect Experiments
Redirect or split URL experiments are perfect for comparing drastically different versions of a page. When setting up such an experiment, you’re essentially directing both users and search engines to alternative URLs.
For example, a redirect experiment on a homepage could funnel traffic to two different versions, splitting the traffic among the original and the two new URLs.
Managing Redirects Effectively
When it comes to redirects, search engines rely on the tags you employ to comprehend the situation. For example, a 301 redirect signals a permanent move from the old URL to the new one, which is SEO-friendly as it retains all the link equity.
However, in the context of an experiment, a 302 redirect is more appropriate because it’s understood to be temporary by search engines.
Rather than preventing search engines from indexing your test variants using a ‘noindex’ tag, it’s advisable to use the canonical attribute pointing back to the original URL. This ensures that search engines recognize the original URL as the authoritative version, mitigating the risk of accidental indexing of the variants.
Each variant in your experiment should include a <LINK rel="canonical"> element within their <HEAD> sections.
JavaScript-based redirects are also an option. Once your experiment concludes, make sure to publish the winning variant on the original URL. This will prompt search engine bots to reindex the updated content over time.
A/B Testing Without Killing Speed and Performance
Speed is crucial for both organic rankings and conversions. However, running experiments can introduce latency due to the additional HTTP requests generated by your CRO tech stack.
For instance, even a basic setup for running experiments would require:
- A web analytics tool like Google Analytics for quantitative insights
- A user behavior analytics tool such as Hotjar or a user testing tool like UsabilityHub for qualitative insights
- An A/B testing tool like Convert for delivering your experiments
Although most A/B testing tools employ asynchronous loading to minimize speed impact, they are not entirely without latency. Caching can mitigate this to some extent on subsequent page loads.
One way to minimize the speed impact is to optimize your tech stack for performance and ensure proper configuration.
Ending Experiments on Time
The duration of your A/B tests is largely determined by the statistical significance you’re aiming for. Tests may take longer if you have limited traffic and are aiming for a 95% confidence level.
Regardless of whether the tests reach statistical significance, it’s common practice to end them after a predetermined period, usually a week or two. Implementing the winning or original version promptly is crucial to avoid confusing search engine bots with long-term redirects or multiple page versions.
Treating Search Engine Bots Like Regular Users
Blocking Googlebot or other search engine bots from crawling your test variants is not recommended. Both Matt Cutts, former head of Google’s web spam team, and John Mueller of Google advise against treating Googlebot differently.
Instead, focus on setting up your variants and redirects correctly. Trust that search engine bots will process your experiments accurately and update their indexes when you roll out the winning version.
CRO Doesn’t Work Against SEO; It’s the Most Natural Thing to Do After SEO
At times, optimizers may consider experiments that appear to conflict with SEO goals, such as testing a shorter homepage copy against a long-form SEO-optimized version.
However, effective optimizers base their hypotheses on data insights. With some ingenuity and teamwork, it’s possible to harmonize SEO and conversion optimization efforts. Especially after Google’s 2021 page experience update, both disciplines need to collaborate more closely.
If an experiment fails to improve conversions, reverting to the original version will normalize any temporary dips in search traffic. Googlebot, having indexed your experiment, will note the reversion and adjust accordingly.
The Importance of Mobile Responsiveness in A/B Testing and SEO
As mobile search continues to grow, the importance of mobile responsiveness in both A/B testing and SEO cannot be overstated. Google’s mobile-first indexing is a testament to this shift, making it crucial for digital marketers to consider the mobile experience in their optimization strategies.
When conducting A/B tests, it’s essential to ensure that the changes are not only effective for desktop users but also translate well to mobile interfaces. Failing to do so can lead to skewed test results and, more importantly, a poor user experience that can negatively impact both conversions and search rankings.
Here are some key considerations:
- Viewport Configuration: Ensure that your A/B tests account for different viewport sizes to avoid layout issues that could deter mobile users.
- Load Time: Mobile users are often on the go, making speed a critical factor. Ensure that the elements you’re testing don’t negatively impact page load times, as this can affect both SEO and conversion rates.
- Interactivity: Buttons and calls to action should be easily clickable, and forms should be straightforward to fill out on mobile devices.
- Content Layout: The content should be easily readable on mobile devices, with images and text scaling appropriately.
By paying attention to these factors, you can conduct A/B tests that are effective across all devices, thereby ensuring that your SEO efforts are aligned with the realities of modern search behavior.
Get in Touch for Expert Digital Marketing Help
If you’re looking to elevate your digital marketing efforts and need expert guidance on A/B testing, SEO, or any other aspect of digital marketing, we’re here to help. Don’t hesitate to reach out to us for tailored solutions that drive results.