<div class="algolia-analytics" data-promoted="${hit?._rankingInfo?.promoted}" data-insights-query-id="${hit.__queryID}" data-insights-object-id="${hit.objectID}" data-insights-position="${hit.__position}" data-cug="${hit?.meta?.cug}"><a class="hit-card" href="${hit?.mappedPath ? hit.mappedPath : hit.path}" > ${hit?.pageTitle ?
html `<span>${hit.pageTitle}</span>`
:
hit?.title ? html `<span>${hit.title}</span>` : ''
}
</a></div>
<p class='no-results-header'>No Results Found.</p><p class='no-results-body'>Please try again with a different search query.</p>
<p class='no-results-header'>No Results Found.</p><p class='no-results-body'>Please try again with a different search query.</p>
<div class="plugin_prequery pre-query">
${plugins.plugin_prequery}
</div>
<div class="default-state">
<div class="${sources[0] === '' ? 'hide' : ''}">
${sources[0]}
</div>
<button class="search-submit" >View Results</button>
</div>
Report
Transforming the shopping experience in only 6 months with Sweaty Betty
See how this global activewear and lifestyle brand maximized key customer engagement strategies to generate an overall lift from personalization, including a +62% uplift in same-session revenue from recommendations-powered quizzes.
+62%
uplift in same-session revenue from recommendations-powered quizzes, compared to quizzes run on a prior system without recommendations
+20.4%
increase in Black Friday purchases from new EU customers from personalized messaging, compared to the control group with no personalized messaging
+8%
uplift in AOV in the US from recommendation widgets displayed on PDPs
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