How to test your content site strategy for continued improvement

Forecasting, documenting and analyzing your content initiatives can help grow your brand’s visibility and your skills as an SEO.

At SMX Convert, Alexis Sanders, SEO director at Merkle, shared the tactics that she uses to analyze site strategies for continued improvement. While the techniques mostly pertain to content, they can also be applied to other aspects of a site, like user experience.

Potential roadblocks to experimenting and testing your strategy

Experimentation can help you figure out what works best for your brand and its audience, but only if you’re able to ensure the integrity of your experiments and overcome the challenges associated with them.

Analyzing the effectiveness of new content

To determine how your audience will perceive your content, “We’re ultimately going to have to rely on is forecasting, to start off with, because that’s going to be our hypothesis,” said Sanders. For this, she recommends relying on historical data, such as case studies and competitor insights, and findings from qualitative tests, which you can conduct on a sample of your target audience.

Estimated traffic lift = Search Volume x (Forecasted Rank’s CTR – Current Rank’s CTR)

“This can be really useful if you’re trying to show potential for ranking for certain keywords or keyword sets, or if you’re looking at a large group of keywords, you can just say what would be our incremental value if we increase by one ranking on all these keywords,” she added.

Quantifying the search value of content updates

Trends data.Sometimes it makes more sense to update existing content rather than start from scratch. In this scenario, trends data can also be used to predict performance (in addition to the above-mentioned clickthrough rate curve estimates).

If there is the potential for search engine bots to find one of your alternative experience URLs, it’s best to 302 redirect to the main URL or simply exclude the bot if the test is over a short period of time.

In terms of analysis, user engagement metrics can tell you if users are taking the actions you want them to and whether they’re doing so efficiently (compared to the control experience). Tools like Google Analytics can reveal how your new experience compares in terms of bounce rate, time on page and so on.

Launch and learn. This approach is as simple as it sounds — just launch the proposed change and see what happens.

Best practices for experimenting and testing your strategy

“The number one tip I have for you is to maintain an accurate record of events,” Sanders said, “Significant updates, good and bad, are absolutely critical to record — it is what allows us to have indifference towards the results and it’s something that also allows us to quantify risk later on.”

Likewise, it’s important to record site updates or anything else that happens on the site that may affect performance. Industry news and seasonality are also factors worth making note of, as well as search industry-related news, like core algorithm updates that may impact rankings.

As you conduct your experiments, the tips above can help you turn your findings into case studies that serve your team and your stakeholders.

As a final piece of advice, Sanders touched on the mindset necessary to conduct experiments that yield trustworthy results: “Be open to qualitative feedback and insights from your core audience members, they may tell you things that you didn’t even think about, which can be really useful for refining a new piece of content or modifying an existing one.”

“Results indifference is absolutely critical to refining your understanding,” she emphasized, “So, make sure you go into it with a lack of caring as to whether or not the content performs but more interest in learning what you can from that.”

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