Customer success story

How M&S achieved 190% of their annual SEO target in 3 months with SearchPilot

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SEO Experimentation Partnership

Marks and Spencer (M&S) is one of the UK's most iconic retail brands, with a heritage that dates back to 1884. M&S partnered with SearchPilot to ramp up SEO testing and bring SEO to the same level of experimentation excellence already in place in other digital channels throughout the business.

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customer success story

Success metrics

+190%
In three months of working with SearchPilot, M&S beat its annual organic search revenue targets. In turn, the entire multi-year SearchPilot investment was paid for many times over in the first few months of working together.
+14%
SearchPilot’s tests helped M&S identify winning changes that improved the on-site experience. One test improved the natural language of the PLPs, enhancing customer experience and driving a 14% uplift in organic traffic.
Visibility
Along with securing the results, SearchPilot helped M&S’s marketing delivery team improve SEO's legitimacy and reputation by enabling them to report on business metrics to leadership more easily and accurately.

The challenge

Due to the competitive nature of online retail, M&S already had a mature SEO setup, with SEO's importance and visibility growing in recent years.

The SEO target was rolled up into the overall e-commerce target, which was ambitious and set with revenue generation in mind.

When asked how he planned to achieve M&S’s ambitious organic search revenue targets, their SEO Manager proposed integrating SearchPilot’s enterprise SEO testing technology into M&S’s leading experimentation team.

The team needed a reliable SEO testing platform to run more tests, help meet the company’s organic search revenue targets, and access the data needed to showcase how SEO translates into revenue.

 

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Our solutions

SearchPilot worked with M&S’s online and technology leadership teams to integrate its application programming interface (API) to enable advanced test bucketing, identifying control and variant page groups for SEO tests at scale. Deploying the API enabled M&S to leverage advanced bucketing and analysis capabilities without requiring internal data science resources for each test.

To make the experimentation program as successful as possible, SearchPilot needed M&S’s engineering team to build tests quickly. This led the teams to collaborate on an SEO experimentation program that fully integrated with M&S’s existing engineering, quality assurance (QA), and release processes.

The M&S and SearchPilot teams designed a high-cadence testing program that capitalised on the website's large scale. By building a backlog of testing ideas and intelligently segmenting product listing pages and product detail pages into statistically similar subsets, the teams could run a large volume of tests in parallel to find winning changes. Then, thanks to SearchPilot’s intelligent API, winning tests could be rolled out to 100% of applicable pages immediately.

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Professional services  collaboration

SearchPilot’s professional services team supported the core M&S team and its agency partners in test ideation and design, measurement, and analysis. When technical and compliance issues affected the reliability of exporting daily analytics data, the teams collaborated on a solution:

Using statistical analysis, they demonstrated that Google Search Console data could supplement missing analytics data with high accuracy. The SearchPilot team then quickly released a new Google Search Console integration to deliver the insights the business needed.

This builds on an existing SearchPilot feature and enables Google Search Console click data to serve as the primary metric for analysing test results (instead of Google Analytics session data). Solving this issue was critical to the success of the whole program.

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Making SEO results ‘speak the language’ of business

M&S needed to translate specific channel metrics into business metrics that could be forecasted and analysed. To do this, the internal and external SEO teams collaborated with the analytics team to develop a robust revenue forecasting methodology that everyone could stand behind.

They combined revenue per session with a decay factor that represents how long uplifts from winning tests are expected to last, to account for changes Google and its competitors make. The team could then feel confident that their hard work translated into increased revenue.

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"The capability to conduct testing will play a crucial role in assessing the impact of our efforts in supporting this channel, all while enhancing the overall site experience for our customers."
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Olivia O'Neill
Head of Digital Marketing Delivery, M&S

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