The technical implementation of the surveys was handled via the Direct Injection feature, which saved developer resources and drastically shortened go-live times.<\/p>\n\n
Each language version ran with six core questions that combined open text fields, satisfaction ratings, and targeted multiple-choice selections.<\/p>\n\n After just over 3,500 responses<\/strong>, a clear picture emerged:<\/p>\n\n From these insights, concrete A\/B test hypotheses for the conversion roadmap were directly derived\u2014for example, differentiated communication of delivery times, more prominent size charts for FR\/EN, or stronger community messaging for NL. That is why these insights translated directly into test ideas and potential CR levers, rather than ending up as just another slide deck.<\/p>\n\n The part that created the greatest internal relief was the analysis. Open-text responses are normally the bottleneck of any survey<\/strong>\u2014someone has to read them, categorize them, cluster them. With over 3,500 responses across four languages, that would traditionally have been days to weeks of work time that simply wasn’t available in the team. <\/p>\n\n With PollHero’s AI-powered theme clustering<\/strong>, all open-text responses were automatically analyzed\u2014without manual evaluation effort<\/strong> and consistently across language boundaries. The team could invest the time saved directly into deriving actions, instead of tying it up in spreadsheets with open-text coding. <\/p>\n\n Once it was clear what drives customers, the next question followed:<\/p>\n\n Through which channels do actual buyers come?<\/p>\n\n For this, ARMEDANGELS set up a post-purchase PollHero survey directly on the order confirmation page<\/strong>\u2014with several questions, including as the first: “How did you hear about us?” (e.g., Instagram).<\/p>\n\n Thanks to the PollHero integration with KLAR (getklar.com<\/a>)<\/strong>, the attribution data collected this way was passed directly there to be displayed centrally and bundled with other data sources\u2014instead of relying solely on the often inaccurate attribution reports from advertising platforms.<\/p>\n\n Independent of the previous surveys, ARMEDANGELS now also uses continuously running, embedded surveys<\/strong> at multiple points in the shop\u2014for example, in accordions on the product detail page (fit, sizing, transparency, material) as well as in wishlist and filters. Unlike the language surveys, these are not time-limited studies but ongoing feedback on what information is still missing at exactly that point\u2014in order to continuously improve individual elements in terms of content and functionality. <\/p>\n\n The combination of custom design without additional implementation effort, rapid rollout across four language markets, and automated open-text analysis ensured that what initially looked like a small onsite survey became a company-wide insight foundation\u2014from C-level through marketing to development. Instead of investing work time in analysis, ARMEDANGELS could channel the freed-up capacity directly into deriving test ideas and adapting messaging and campaigns. With the now continuously running surveys, an additional lever is added to improve shop elements on an ongoing, data-driven basis.<\/strong><\/p>\n","protected":false},"featured_media":3972,"menu_order":0,"template":"","casestudy_kategorie":[143],"class_list":["post-4483","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry","casestudy_kategorie-fashion"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/case-studies\/4483","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/case-studies"}],"about":[{"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/types\/case-studies"}],"version-history":[{"count":1,"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/case-studies\/4483\/revisions"}],"predecessor-version":[{"id":4484,"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/case-studies\/4483\/revisions\/4484"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/media\/3972"}],"wp:attachment":[{"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/media?parent=4483"}],"wp:term":[{"taxonomy":"casestudy_kategorie","embeddable":true,"href":"https:\/\/www.poll-hero.com\/en\/wp-json\/wp\/v2\/casestudy_kategorie?post=4483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/www.poll-hero.com\/wp-content\/uploads\/2026\/09\/pollhero-armedangels-mehrsprachige-umfragen.jpg\")
<\/a><\/figure>\n\nKey findings\u2014in brief<\/h2>\n\n
\n
The real win: 3,500 open-text responses analyzed without anyone having to read them individually<\/h2>\n\n
<\/a>From “What” to “Where”: a second survey delivers the attribution data<\/h2>\n\n
<\/a>From individual surveys to a permanent feedback system<\/h2>\n\n
<\/a><\/figure>\n\nResult: High value with minimal internal effort<\/h2>\n\n