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The more honest comparison is your own conversion rate, broken down by device, channel, and new versus existing customers.",{"type":571,"attrs":886,"content":887},{"level":871},[888],{"text":889,"type":398,"marks":890},"The conversion rate isn't everything",[891],{"type":579},{"type":394,"content":893},[894],{"text":895,"type":398},"A higher conversion rate can still cost money. An aggressive discount raises orders and lowers margin. A change that creates more bad-fit purchases drives up returns. So measure contribution margin, return rate, and customer lifetime value alongside the conversion rate. Only then do you know whether a test really won.",{"type":571,"attrs":897,"content":898},{"level":626},[899],{"text":900,"type":398,"marks":901},"Where conversion optimization is used",[902],{"type":579},{"type":394,"content":904},[905],{"text":906,"type":398},"You can optimize anywhere people make a decision online. The most common fields of use are these:",{"type":908,"content":909},"bullet_list",[910,921,931,941],{"type":911,"content":912},"list_item",[913],{"type":394,"content":914},[915,919],{"text":916,"type":398,"marks":917},"Online shops: ",[918],{"type":579},{"text":920,"type":398},"product pages, cart, checkout, cross-selling and upselling",{"type":911,"content":922},[923],{"type":394,"content":924},[925,929],{"text":926,"type":398,"marks":927},"Lead generation: ",[928],{"type":579},{"text":930,"type":398},"inquiry forms, appointment booking, calculators, and configurators",{"type":911,"content":932},[933],{"type":394,"content":934},[935,939],{"text":936,"type":398,"marks":937},"Closing funnels: ",[938],{"type":579},{"text":940,"type":398},"plans, loans, insurance, and travel bookings",{"type":911,"content":942},[943],{"type":394,"content":944},[945,949],{"text":946,"type":398,"marks":947},"Registration and retention: ",[948],{"type":579},{"text":950,"type":398},"customer account, newsletter, app onboarding, and repeat purchases",{"type":571,"attrs":952,"content":953},{"level":626},[954],{"text":955,"type":398,"marks":956},"The conversion optimization process in six steps",[957],{"type":579},{"type":394,"content":959},[960],{"text":961,"type":398},"Every company works a little differently. But you'll find the following six steps in every program that works.",{"type":571,"attrs":963,"content":964},{"level":871},[965],{"text":966,"type":398,"marks":967},"1. Analysis: understanding where and why customers drop off",[968],{"type":579},{"type":394,"content":970},[971],{"text":972,"type":398},"Web analytics shows where visitors leave. It doesn't show why. For that, you need qualitative methods like user interviews, usability tests, surveys, or an analysis of customer service inquiries. The combination of both sides is called mixed methods. A framework like our 7 Levels of Conversion helps organize the causes systematically: from the relevance of the offer through trust to usability.",{"type":571,"attrs":974,"content":975},{"level":871},[976],{"text":977,"type":398,"marks":978},"2. Forming and prioritizing hypotheses",[979],{"type":579},{"type":394,"content":981},[982],{"text":983,"type":398},"Every problem you find becomes a hypothesis. A good hypothesis states the observation, the planned change, and the expected effect. An example: Many visitors abandon checkout because shipping costs only appear at the end. If we show them in the cart already, the number of completed orders goes up. Then you prioritize by expected value contribution, effort, and required test duration.",{"type":571,"attrs":985,"content":986},{"level":871},[987],{"text":988,"type":398,"marks":989},"3. Concept and design",[990],{"type":579},{"type":394,"content":992},[993],{"text":994,"type":398},"For every hypothesis, a rough concept comes first, for example as a wireframe. At our company, a testing board of several specialists reviews every concept. The most important question is: Why doesn't the current page solve the customers' problem, and what does the new variant do differently? Only then is the variant designed in the corporate design.",{"type":571,"attrs":996,"content":997},{"level":871},[998],{"text":999,"type":398,"marks":1000},"4. Implementation and quality assurance",[1001],{"type":579},{"type":394,"content":1003},[1004],{"text":1005,"type":398},"The variant is programmed in the testing tool, client-side or server-side. Before the start, you check it on all important devices and browsers. A bug in the variant distorts the result and, in the worst case, costs real revenue.",{"type":571,"attrs":1007,"content":1008},{"level":871},[1009],{"text":1010,"type":398,"marks":1011},"5. Testing and evaluating",[1012],{"type":579},{"type":394,"content":1014},[1015],{"text":1016,"type":398},"In an A/B test, one part of the visitors sees the current page, the other part sees the variant. Set the duration beforehand, and don't look at the result every day so that you could stop the test at the first green number. Otherwise you declare chance hits winners. A test should run for full weeks at the least, so that weekdays and weekends are equally represented. At the end, you check statistical significance and effect size and document what you learned.",{"type":571,"attrs":1018,"content":1019},{"level":871},[1020],{"text":1021,"type":398,"marks":1022},"6. Rollout and learnings",[1023],{"type":579},{"type":394,"content":1025},[1026],{"text":1027,"type":398},"Winners are built in permanently and become the new baseline for the next test. Losers are just as valuable. They show which assumption about your customers was wrong. New hypotheses come out of the learnings, and the cycle starts over.",{"type":571,"attrs":1029,"content":1030},{"level":626},[1031],{"text":1032,"type":398,"marks":1033},"Tactics that raise the conversion rate",[1034],{"type":579},{"type":394,"content":1036},[1037],{"text":1038,"type":398},"Tactics fall into two groups. Hygiene factors are only noticed when they're missing: load time, error-free forms, a working search. Consumer psychology tactics work on motivation. They make an offer more relevant, more credible, or easier to decide on. For that, we use proven Behavior Patterns such as social proof or loss aversion.",{"type":908,"content":1040},[1041,1051,1061,1071,1081,1091],{"type":911,"content":1042},[1043],{"type":394,"content":1044},[1045,1049],{"text":1046,"type":398,"marks":1047},"Forms: ",[1048],{"type":579},{"text":1050,"type":398},"fewer required fields, fitting input types, clear error messages",{"type":911,"content":1052},[1053],{"type":394,"content":1054},[1055,1059],{"text":1056,"type":398,"marks":1057},"Landing pages: ",[1058],{"type":579},{"text":1060,"type":398},"a concrete value proposition matching the ad",{"type":911,"content":1062},[1063],{"type":394,"content":1064},[1065,1069],{"text":1066,"type":398,"marks":1067},"Product pages: ",[1068],{"type":579},{"text":1070,"type":398},"copy that answers questions, good images, visible reviews",{"type":911,"content":1072},[1073],{"type":394,"content":1074},[1075,1079],{"text":1076,"type":398,"marks":1077},"Cart and checkout: ",[1078],{"type":579},{"text":1080,"type":398},"early cost transparency, guest checkout, familiar payment methods",{"type":911,"content":1082},[1083],{"type":394,"content":1084},[1085,1089],{"text":1086,"type":398,"marks":1087},"Trust: ",[1088],{"type":579},{"text":1090,"type":398},"seals, guarantees, real customer voices, and an accessible service",{"type":911,"content":1092},[1093],{"type":394,"content":1094},[1095,1099,1101],{"text":1096,"type":398,"marks":1097},"Personalization: ",[1098],{"type":579},{"text":1100,"type":398},"content by customer type, more at ",{"text":46,"type":398,"marks":1102},[1103],{"type":1104,"attrs":1105},"link",{"href":1106,"uuid":131,"anchor":91,"target":1107,"linktype":36,"story":1108},"/en/solutions/personalization","_self",{"name":46,"id":1109,"uuid":131,"slug":1110,"url":132,"full_slug":132,"_stopResolving":98},234017896158190,"personalization",{"type":394,"content":1112},[1113],{"text":1114,"type":398},"None of these tactics works everywhere. What wins in one shop loses in the next. That's why analysis belongs before every tactic and a test after every tactic.",{"type":571,"attrs":1116,"content":1117},{"level":626},[1118],{"text":1119,"type":398,"marks":1120},"Examples from practice",[1121],{"type":579},{"type":394,"content":1123},[1124],{"text":1125,"type":398},"Four programs from our work show how different conversion optimization can look. Every number is measured against a control.",{"type":908,"content":1127},[1128,1144,1160,1176],{"type":911,"content":1129},[1130],{"type":394,"content":1131},[1132,1142],{"text":187,"type":398,"marks":1133},[1134,1135],{"type":579},{"type":1104,"attrs":1136},{"href":1137,"uuid":185,"anchor":91,"target":1107,"linktype":36,"story":1138},"/en/case-studies/case-study-the-female-company",{"name":1139,"id":1140,"uuid":185,"slug":1141,"url":186,"full_slug":186,"_stopResolving":98},"Case Study The Female Company",234050705509858,"case-study-the-female-company",{"text":1143,"type":398}," (D2C): Three A/B tests per week, the first after 13 days. After three months, the conversion rate was 54% higher cumulatively. 59% of the tests won.",{"type":911,"content":1145},[1146],{"type":394,"content":1147},[1148,1158],{"text":222,"type":398,"marks":1149},[1150,1151],{"type":579},{"type":1104,"attrs":1152},{"href":1153,"uuid":220,"anchor":91,"target":1107,"linktype":36,"story":1154},"/en/case-studies/case-study-haufe",{"name":1155,"id":1156,"uuid":220,"slug":1157,"url":221,"full_slug":221,"_stopResolving":98},"Case Study Haufe",234050727591399,"case-study-haufe",{"text":1159,"type":398}," (B2B software): Personas and jobs to be done led to 33 tests with a 52% success rate. They brought in €5.2 million in additional revenue.",{"type":911,"content":1161},[1162],{"type":394,"content":1163},[1164,1174],{"text":215,"type":398,"marks":1165},[1166,1167],{"type":579},{"type":1104,"attrs":1168},{"href":1169,"uuid":213,"anchor":91,"target":1107,"linktype":36,"story":1170},"/en/case-studies/case-study-loesdau",{"name":1171,"id":1172,"uuid":213,"slug":1173,"url":214,"full_slug":214,"_stopResolving":98},"Case Study Pferdesporthaus Loesdau",234050718834149,"case-study-loesdau",{"text":1175,"type":398}," (equestrian sports): As an external growth team, we quadrupled the number of tests. After two years, the ROI was 1,493%.",{"type":911,"content":1177},[1178],{"type":394,"content":1179},[1180,1193],{"text":1181,"type":398,"marks":1182},"hessnatur",[1183,1184],{"type":579},{"type":1104,"attrs":1185},{"href":1186,"uuid":1187,"anchor":91,"target":1107,"linktype":36,"story":1188},"/en/case-studies/case-study-hessnatur-personalization","abb3f5f4-f7d1-4826-9cb1-d36b0a3a8d12",{"name":1189,"id":1190,"uuid":1187,"slug":1191,"url":1192,"full_slug":1192,"_stopResolving":98},"Case Study hessnatur Personalization",234050691493343,"case-study-hessnatur-personalization","en/case-studies/case-study-hessnatur-personalization",{"text":1194,"type":398}," (fashion): Personalization by customer type. All three of the first experiences beat the control, with more than 10% higher revenue per visitor after four weeks.",{"type":571,"attrs":1196,"content":1197},{"level":626},[1198],{"text":1199,"type":398,"marks":1200},"AI in conversion optimization",[1201],{"type":579},{"type":394,"content":1203},[1204],{"text":1205,"type":398},"Since 2023, AI has noticeably sped up conversion optimization. It clusters thousands of customer comments in minutes. It drafts hypotheses, writes copy variants, and helps program tests. That lets the same team implement significantly more tests.",{"type":394,"content":1207},[1208],{"text":1209,"type":398},"AI doesn't replace the test. A language model doesn't know how your customers react to a change. It only knows patterns from other people's data. The bottleneck therefore shifts from implementation to the question of what is worth testing. Customer understanding counts more than ever here.",{"type":571,"attrs":1211,"content":1212},{"level":626},[1213],{"text":1214,"type":398,"marks":1215},"Common mistakes",[1216],{"type":579},{"type":908,"content":1218},[1219,1225,1231,1237,1243],{"type":911,"content":1220},[1221],{"type":394,"content":1222},[1223],{"text":1224,"type":398},"Copying best practices instead of understanding your own customers",{"type":911,"content":1226},[1227],{"type":394,"content":1228},[1229],{"text":1230,"type":398},"Stopping tests too early, as soon as the result looks good",{"type":911,"content":1232},[1233],{"type":394,"content":1234},[1235],{"text":1236,"type":398},"Testing changes that are too small, whose effect your traffic can never detect",{"type":911,"content":1238},[1239],{"type":394,"content":1240},[1241],{"text":1242,"type":398},"Extrapolating uplifts to twelve months even though effects fade over time",{"type":911,"content":1244},[1245],{"type":394,"content":1246},[1247],{"text":1248,"type":398},"Measuring only clicks instead of revenue, margin, and returns",{"type":571,"attrs":1250,"content":1251},{"level":626},[1252],{"text":1253,"type":398,"marks":1254},"Do it yourself or with an agency?",[1255],{"type":579},{"type":394,"content":1257},[1258,1260,1270,1272,1281],{"text":1259,"type":398},"Many companies start with an internal team and a testing tool. That works as long as there is enough research, design, development, and statistics knowledge in-house. If one of them is missing, the hit rate drops after the first quick winners. An agency can take over the program or build up your team so it can carry on itself. What to look for in a good agency and what it costs is covered in the ",{"text":1261,"type":398,"marks":1262},"guide on finding a CRO agency",[1263],{"type":1104,"attrs":1264},{"href":1265,"uuid":310,"anchor":91,"target":1107,"linktype":36,"story":1266},"/en/guides/finding-a-cro-agency",{"name":1267,"id":1268,"uuid":310,"slug":1269,"url":311,"full_slug":311,"_stopResolving":98},"Finding a CRO agency",234475537534081,"finding-a-cro-agency",{"text":1271,"type":398},". How we do it is on our page on ",{"text":1273,"type":398,"marks":1274},"conversion optimization as a service",[1275],{"type":1104,"attrs":1276},{"href":1277,"uuid":124,"anchor":91,"target":1107,"linktype":36,"story":1278},"/en/solutions/conversion-optimization",{"name":39,"id":1279,"uuid":124,"slug":1280,"url":125,"full_slug":125,"_stopResolving":98},234017881727981,"conversion-optimization",{"text":1282,"type":398},".",{"type":571,"attrs":1284,"content":1285},{"level":871},[1286],{"text":1287,"type":398,"marks":1288},"Books for further reading",[1289],{"type":579},{"type":908,"content":1291},[1292,1307,1319,1325],{"type":911,"content":1293},[1294],{"type":394,"content":1295},[1296,1298,1305],{"text":1297,"type":398},"André Morys: ",{"text":1299,"type":398,"marks":1300},"Die digitale Wachstumsstrategie. 10 Prinzipien für ein profitables Online-Geschäft",[1301],{"type":1104,"attrs":1302},{"href":1303,"uuid":91,"anchor":91,"target":1304,"linktype":605},"https://amzn.to/3kRWGdY","_blank",{"text":1306,"type":398}," (in German)",{"type":911,"content":1308},[1309],{"type":394,"content":1310},[1311,1313],{"text":1312,"type":398},"Stefan Thomke: ",{"text":1314,"type":398,"marks":1315},"Experimentation Works. The Surprising Power of Business Experiments",[1316],{"type":1104,"attrs":1317},{"href":1318,"uuid":91,"anchor":91,"target":1304,"linktype":605},"https://amzn.to/3SZZYIp",{"type":911,"content":1320},[1321],{"type":394,"content":1322},[1323],{"text":1324,"type":398},"Ron Kohavi, Diane Tang, Ya Xu: Trustworthy Online Controlled Experiments. A Practical Guide to A/B Testing",{"type":911,"content":1326},[1327],{"type":394,"content":1328},[1329,1331],{"text":1330,"type":398},"Steve Krug: ",{"text":1332,"type":398,"marks":1333},"Don't Make Me Think. A Common Sense Approach to Web Usability",[1334],{"type":1104,"attrs":1335},{"href":1336,"uuid":91,"anchor":91,"target":1304,"linktype":605},"https://amzn.to/3mBVkEJ",[],{"_uid":1339,"head":1340,"items":1356,"theme":96,"alignment":593,"component":1419,"bordered_cards":98},"d2000000-0000-4000-8000-000000000000",[1341],{"_uid":1342,"kicker":1343,"headline":1344,"component":399,"subheadline":1353,"show_top_line":98},"d2000000-0000-4000-8000-000000000001","FAQ",{"type":391,"content":1345},[1346],{"type":571,"attrs":1347,"content":1348},{"level":626},[1349],{"text":1350,"type":398,"marks":1351},"Frequently asked questions about conversion optimization",[1352],{"type":579},{"type":391,"content":1354},[1355],{"type":394},[1357,1366,1375,1383,1392,1401,1410],{"_uid":1358,"answer":1359,"question":629,"component":1365},"d2000000-0000-4000-8000-000000000002",{"type":391,"content":1360},[1361],{"type":394,"content":1362},[1363],{"text":1364,"type":398},"Conversion optimization is the systematic process of getting more visitors to a website to take a desired action, such as a purchase or an inquiry. It combines customer research, hypotheses, and A/B tests.","section-faq__item",{"_uid":1367,"answer":1368,"question":1374,"component":1365},"d2000000-0000-4000-8000-000000000003",{"type":391,"content":1369},[1370],{"type":394,"content":1371},[1372],{"text":1373,"type":398},"Divide the number of conversions by the number of visitors and multiply by 100. 9,000 orders from 300,000 visitors give you 3%.","How do you calculate the conversion rate?",{"_uid":1376,"answer":1377,"question":874,"component":1365},"d2000000-0000-4000-8000-000000000004",{"type":391,"content":1378},[1379],{"type":394,"content":1380},[1381],{"text":1382,"type":398},"According to the uptain Conversion Rate Report 2025, small and midsize German online shops average 2.01%. The value varies widely by industry, price, and traffic source. The most meaningful comparison is with your own rate.",{"_uid":1384,"answer":1385,"question":1391,"component":1365},"d2000000-0000-4000-8000-000000000005",{"type":391,"content":1386},[1387],{"type":394,"content":1388},[1389],{"text":1390,"type":398},"SEO brings more visitors to your website through search engines. Conversion optimization makes sure more of those visitors buy or inquire. The two complement each other.","What is the difference between conversion optimization and SEO?",{"_uid":1393,"answer":1394,"question":1400,"component":1365},"d2000000-0000-4000-8000-000000000006",{"type":391,"content":1395},[1396],{"type":394,"content":1397},[1398],{"text":1399,"type":398},"Until the sample size you calculated in advance is reached, and always in full weeks. In practice, that is usually two to four weeks. Don't stop a test just because it looks good early on.","How long does an A/B test have to run?",{"_uid":1402,"answer":1403,"question":1409,"component":1365},"d2000000-0000-4000-8000-000000000007",{"type":391,"content":1404},[1405],{"type":394,"content":1406},[1407],{"text":1408,"type":398},"That depends on your conversion rate and the effect you want to detect. The smaller the effect, the more visitors you need. With little traffic, you test bigger changes, measure intermediate steps, and add user research.","How much traffic do you need for A/B tests?",{"_uid":1411,"answer":1412,"question":1418,"component":1365},"d2000000-0000-4000-8000-000000000008",{"type":391,"content":1413},[1414],{"type":394,"content":1415},[1416],{"text":1417,"type":398},"The most common reasons are unsuitable traffic, an unclear offer, a lack of trust, and hurdles in the form or checkout. 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The messaging adapts long before checkout begins.","Recognizing customer types before anyone logs in.","Electronics","more revenue","+18.2%","4",[208],{"_uid":1746,"link":1747,"logo":1749,"text":1752,"client":1181,"service":46,"headline":1753,"industry":1754,"component":1722,"kpi_label":1755,"kpi_value":1756,"reading_time":1757,"matchNames":1758},"f6b9d1e5-7a2c-4b6f-8d8e-0c3f5a1b2d06",{"id":1187,"url":26,"linktype":36,"fieldtype":37,"cached_url":1192,"story":1748},{"name":1189,"id":1190,"uuid":1187,"slug":1191,"url":1192,"full_slug":1192,"_stopResolving":98},{"id":1750,"alt":1181,"filename":1751,"fieldtype":28,"is_external_url":30},23160169,"https://a.storyblok.com/f/328018/255x128/ad0613569f/hessnatur.png","A few clearly justified use cases instead of hundreds of possibilities. All three first experiences beat the control group.","From tool to first personalization in four weeks.","Fashion","in 4 weeks","> +10% RPV","3",[1181],{"_uid":1760,"link":1761,"text":1766,"client":194,"service":39,"headline":1767,"industry":1754,"component":1722,"kpi_label":1768,"kpi_value":1769,"anonymized":98,"reading_time":1770,"matchNames":1771},"a1c4e6f0-2b7d-4c1a-9e3f-5d8a0b6c7e01",{"id":192,"url":26,"linktype":36,"fieldtype":37,"cached_url":193,"story":1762},{"name":1763,"id":1764,"uuid":192,"slug":1765,"url":193,"full_slug":193,"_stopResolving":98},"Case Study Well-known German Fashion Brand (anonymous)",234050723180006,"case-study-fashion-brand-testing-program","A Motivation Lab showed why customers hesitate in the shop. From that grew a program of 50 to 60 experiments a year.","Customers preferred buying in the store. That became a test.","Net revenue in three years","+€44.88 million","5",[1772,1773],"well-known german fashion brand","bekannte deutsche modemarke",{"_uid":1775,"link":1776,"logo":1781,"text":1784,"client":201,"service":39,"headline":1785,"industry":261,"component":1722,"kpi_label":1786,"kpi_value":1787,"reading_time":1743,"matchNames":1788},"238e85bd-6a47-4370-ba96-7dbf85ba93c3",{"id":199,"url":26,"linktype":36,"fieldtype":37,"cached_url":200,"story":1777},{"name":1778,"id":1779,"uuid":199,"slug":1780,"url":200,"full_slug":200,"_stopResolving":98},"Case Study freenet AG",234050740841962,"case-study-freenet-ag",{"id":1782,"alt":201,"filename":1783,"fieldtype":28,"is_external_url":30},23160144,"https://a.storyblok.com/f/328018/255x128/f1adafe85a/freenet.png","A proof of concept with uplift targets agreed in advance proved the value of experimentation. Today freenet runs the program itself.","Two thirds of all tests successful, with a success guarantee.","more orders, cumulative","+30%",[201],{"_uid":1790,"link":1791,"logo":1798,"text":1802,"client":1800,"service":1803,"headline":1804,"industry":245,"component":1722,"kpi_label":1805,"kpi_value":1806,"reading_time":1770,"matchNames":1807},"a7c0e2f6-8b3d-4c7a-9e9f-1d4a6b2c3e07",{"id":1792,"url":26,"linktype":36,"fieldtype":37,"cached_url":1793,"story":1794},"9a915a7d-485d-46c6-b1db-9c9665d96854","en/case-studies/case-study-air-up",{"name":1795,"id":1796,"uuid":1792,"slug":1797,"url":1793,"full_slug":1793,"_stopResolving":98},"Case Study air up",234050696121824,"case-study-air-up",{"id":1799,"alt":1800,"filename":1801,"fieldtype":28,"is_external_url":30},218899964771970,"air up","https://a.storyblok.com/f/328018/255x143/d670305cc4/airup.png","Ten jobs-to-be-done interviews revealed what turns first-time buyers into repeat customers. air up used the results in shop, product, and service.","Customer centricity","Seven purchase motives that reached all the way into the packaging.","Purchase motives built into the product","7 jobs",[1800],{"_uid":1809,"link":1810,"logo":1817,"text":1821,"client":1819,"service":156,"headline":1822,"industry":1823,"component":1722,"kpi_label":1824,"kpi_value":1825,"reading_time":1743,"matchNames":1826},"c9e4a2b7-5d1f-4e8a-b3c6-7f2d9a0e4b18",{"id":1811,"url":26,"linktype":36,"fieldtype":37,"cached_url":1812,"story":1813},"20a9b1e7-2138-4b67-ac75-13fc48c2300b","en/case-studies/case-study-kickz",{"name":1814,"id":1815,"uuid":1811,"slug":1816,"url":1812,"full_slug":1812,"_stopResolving":98},"Case Study KICKZ",234050681933277,"case-study-kickz",{"id":1818,"alt":1819,"filename":1820,"fieldtype":28,"is_external_url":30},230608540235169,"KICKZ","https://a.storyblok.com/f/328018/31f906b9ec/kickz.png","We followed A/B tests all the way into the merchandise management system. The variant with 43% more orders still delivered 22% more contribution margin after returns.","More orders don't automatically mean more profit.","Sneakers & streetwear","more contribution margin","+22%",[1827],"kickz",{"_uid":1829,"link":1830,"text":1837,"client":1838,"service":1803,"headline":1839,"industry":1840,"component":1722,"kpi_label":1841,"kpi_value":1842,"anonymized":98,"reading_time":1743,"matchNames":1843},"e1f2a3b4-c5d6-4e7f-8a9b-0c1d2e3f4a19",{"id":1831,"url":26,"linktype":36,"fieldtype":37,"cached_url":1832,"story":1833},"365a5807-32c3-4c0a-97c5-81d5f718c42c","en/case-studies/case-study-vacation-rental-provider",{"name":1834,"id":1835,"uuid":1831,"slug":1836,"url":1832,"full_slug":1832,"_stopResolving":98},"Case Study International Vacation Rental Provider (anonymous)",234050676997596,"case-study-vacation-rental-provider","One template for 15 country shops hid opposing effects. A dedicated concept for Switzerland delivered 15.3% more revenue per visitor there.","International vacation rental provider","The same page won in Germany and lost in Switzerland.","Travel","Revenue per visitor","+15.3%",[1844,1845],"international vacation rental provider","internationaler ferienhausanbieter",{"_uid":1847,"link":1848,"logo":1850,"text":1853,"client":222,"service":1803,"headline":1854,"industry":1855,"component":1722,"kpi_label":717,"kpi_value":1856,"reading_time":1725,"matchNames":1857},"19f3becd-60dc-4fcc-bb3c-7aac1d8cd990",{"id":220,"url":26,"linktype":36,"fieldtype":37,"cached_url":221,"story":1849},{"name":1155,"id":1156,"uuid":220,"slug":1157,"url":221,"full_slug":221,"_stopResolving":98},{"id":1851,"alt":222,"filename":1852,"fieldtype":28,"is_external_url":30},23160152,"https://a.storyblok.com/f/328018/255x128/c9cc2e33d8/haufe.png","Personas and jobs to be done led to 33 tests with a 52% success rate. That made customer centricity part of the daily work.","Personas that get used in daily work instead of sitting in a folder.","B2B software","+€5.2 million",[1858],"haufe",{"_uid":1860,"link":1861,"logo":1868,"text":1872,"client":1870,"service":46,"headline":1873,"industry":1874,"component":1722,"kpi_label":1875,"kpi_value":1876,"reading_time":1725,"matchNames":1877},"b8d1f3a7-9c4e-4d8b-8a0a-2e5b7c3d4f08",{"id":1862,"url":26,"linktype":36,"fieldtype":37,"cached_url":1863,"story":1864},"0f9c2c24-762d-4f66-b9e3-e71a1a7d3075","en/case-studies/case-study-eon-personalization",{"name":1865,"id":1866,"uuid":1862,"slug":1867,"url":1863,"full_slug":1863,"_stopResolving":98},"Case Study E.ON Personalization",234050700688865,"case-study-eon-personalization",{"id":1869,"alt":1870,"filename":1871,"fieldtype":28,"is_external_url":30},23160222,"E.ON","https://a.storyblok.com/f/328018/255x128/eb2f094070/e-on.png","A vision of a personal customer journey became three customer types, four prioritized streams, and a five-phase roadmap.","Electricity is the same for everyone. Customers are not.","Energy","along the customer journey","4 streams",[1878],"e.on",{"_uid":1880,"link":1881,"text":1888,"client":1889,"service":39,"headline":1890,"industry":1891,"component":1722,"kpi_label":1892,"kpi_value":1893,"anonymized":98,"reading_time":1757,"matchNames":1894},"b2d5f7a1-3c8e-4d2b-8f4a-6e9b1c7d8f02",{"id":1882,"url":26,"linktype":36,"fieldtype":37,"cached_url":1883,"story":1884},"2541e353-5142-40b8-8680-822a9aee4515","en/case-studies/case-study-fashion-d2c-brand",{"name":1885,"id":1886,"uuid":1882,"slug":1887,"url":1883,"full_slug":1883,"_stopResolving":98},"Case Study Fashion D2C Brand (anonymous)",234050714504676,"case-study-fashion-d2c-brand","Our experts supplemented the in-house team. Today, every important decision is tested first.","Mid-sized fashion D2C brand","Growth in a saturated market, without more ad budget.","Fashion D2C","Value contribution per year","+€22.8 million",[1895,1896],"mid-sized fashion d2c brand","mittelständische fashion-d2c-marke",{"_uid":1898,"link":1899,"logo":1906,"text":1910,"client":1908,"service":140,"headline":1911,"industry":1912,"component":1722,"kpi_label":1913,"kpi_value":1914,"reading_time":1770,"matchNames":1915},"5dfd9302-708d-49d6-a85f-b88a18e57cb0",{"id":1900,"url":26,"linktype":36,"fieldtype":37,"cached_url":1901,"story":1902},"4486c78d-c872-489c-ae0f-b9e866ac9e42","en/case-studies/case-study-goertz",{"name":1903,"id":1904,"uuid":1900,"slug":1905,"url":1901,"full_slug":1901,"_stopResolving":98},"Case Study Görtz",234050750402028,"case-study-goertz",{"id":1907,"alt":1908,"filename":1909,"fieldtype":28,"is_external_url":30},23160153,"Görtz","https://a.storyblok.com/f/328018/255x128/f45d82f484/goertz.png","Every major change was checked in an A/B test before going live. That turned the risk of a relaunch into a measurable gain.","A redesign that brings in revenue instead of costing it.","Shoes","Uplift after the redesign","+16.2%",[1916],"görtz",{"_uid":1918,"link":1919,"logo":1921,"text":1924,"client":215,"service":1720,"headline":1925,"industry":1926,"component":1722,"kpi_label":1927,"kpi_value":1928,"anonymized":30,"reading_time":1743,"matchNames":1929},"c3e6a8b2-4d9f-4e3c-9a5b-7f0c2d8e9a03",{"id":213,"url":26,"linktype":36,"fieldtype":37,"cached_url":214,"story":1920},{"name":1171,"id":1172,"uuid":213,"slug":1173,"url":214,"full_slug":214,"_stopResolving":98},{"id":1922,"alt":215,"filename":1923,"fieldtype":28,"is_external_url":30},23160181,"https://a.storyblok.com/f/328018/255x128/c05ea07246/loesdau.png","As an external growth team, we increased the speed and hit rate of testing. Out of that came our model for fast testing in D2C.","Four times as many tests, because small sprints learn faster.","Equestrian sports","ROI in two years","1,493%",[1930],"pferdesporthaus loesdau",{"_uid":1932,"link":1933,"logo":1940,"text":1944,"client":1942,"service":1945,"headline":1946,"industry":1947,"component":1722,"kpi_label":1948,"kpi_value":1949,"reading_time":1725,"matchNames":1950},"5dc62546-51ea-44bd-b43e-70626d59c50b",{"id":1934,"url":26,"linktype":36,"fieldtype":37,"cached_url":1935,"story":1936},"5af0e02b-b8c3-4979-b973-1b63bf547540","en/case-studies/case-study-betzold",{"name":1937,"id":1938,"uuid":1934,"slug":1939,"url":1935,"full_slug":1935,"_stopResolving":98},"Case Study Betzold",234050732010984,"case-study-betzold",{"id":1941,"alt":1942,"filename":1943,"fieldtype":28,"is_external_url":30},23160123,"Betzold","https://a.storyblok.com/f/328018/255x128/a7d0516bd0/betzold.png","Concept and shop module were each built in one week. After five weeks of testing, the benefit of the new personalization was proven.","Personalization & MVP","An MVP in two weeks instead of a major project.","School supplies","higher conversion rate","+32%",[1951],"betzold",{"_uid":1953,"link":1954,"logo":1961,"text":1965,"client":1963,"service":46,"headline":1966,"industry":1967,"component":1722,"kpi_label":1968,"kpi_value":1969,"reading_time":1770,"matchNames":1970},"849c59ca-28e6-42dc-8b8d-1623a0535718",{"id":1955,"url":26,"linktype":36,"fieldtype":37,"cached_url":1956,"story":1957},"e066c188-fee6-4ba4-949c-29343989217e","en/case-studies/case-study-aldi-sued-personalization",{"name":1958,"id":1959,"uuid":1955,"slug":1960,"url":1956,"full_slug":1956,"_stopResolving":98},"Case Study ALDI SÜD Personalization",234050736430569,"case-study-aldi-sued-personalization",{"id":1962,"alt":1963,"filename":1964,"fieldtype":28,"is_external_url":30},23160151,"ALDI SÜD","https://a.storyblok.com/f/328018/299x150/c54d5ba064/aldi-sued.svg","Each channel got its own roadmap with prioritized use cases. Dependencies between channels are now visible and plannable.","Personalization across all channels with one shared plan.","Grocery retail","per channel as a starting point","3 segments",[1971],"aldi süd",{"_uid":1973,"link":1974,"text":1981,"client":1982,"service":1983,"headline":1984,"industry":1740,"component":1722,"kpi_label":1985,"kpi_value":1986,"anonymized":98,"reading_time":1757,"matchNames":1987},"d4f7b9c3-5e0a-4f4d-8b6c-8a1d3e9f0b04",{"id":1975,"url":26,"linktype":36,"fieldtype":37,"cached_url":1976,"story":1977},"becf2b6c-55aa-4b84-b6b2-c9b3b4d664f2","en/case-studies/case-study-campaign-pretest",{"name":1978,"id":1979,"uuid":1975,"slug":1980,"url":1976,"full_slug":1976,"_stopResolving":98},"Case Study Campaign Pretest Electronics Retailer (anonymous)",234050710150627,"case-study-campaign-pretest","Motifs and messages of a large image campaign were compared with the target audience in advance, including across markets.","Online retailer for electronics","Online marketing","Test in a panel first, then run the campaign.","Purchase interest from the stronger motif","+6.7%",[1988,1989],"online retailer for electronics","online-händler für technik",{"_uid":1991,"link":1992,"logo":1999,"text":2003,"client":2001,"service":39,"headline":2004,"industry":2005,"component":1722,"kpi_label":2006,"kpi_value":2007,"reading_time":1770,"matchNames":2008},"7d2e9a41-3b6c-4f58-9e1a-5c0b8d7f2a31",{"id":1993,"url":26,"linktype":36,"fieldtype":37,"cached_url":1994,"story":1995},"98275858-3e48-4317-bd0c-f80caf67d1c3","en/case-studies/case-study-thomas-sabo",{"name":1996,"id":1997,"uuid":1993,"slug":1998,"url":1994,"full_slug":1994,"_stopResolving":98},"Case Study Thomas Sabo",234050686496222,"case-study-thomas-sabo",{"id":2000,"alt":2001,"filename":2002,"fieldtype":28,"is_external_url":30},23160201,"Thomas Sabo","https://a.storyblok.com/f/328018/255x128/43222ef0c9/thomas-sabo.png","A MotivationLab showed what makes jewelry buyers uneasy online. The strongest levers came from consumer psychology and were proven in A/B tests.","More orders, because the shop removes doubt.","Jewelry D2C","Additional revenue 2017 to 2019","> €4.5 million",[2009],"thomas sabo","\u003Csvg xmlns=\"http://www.w3.org/2000/svg\" width=\"1em\" height=\"1em\" fill=\"currentColor\" viewBox=\"0 0 256 256\">\u003Cpath d=\"M128,24A104,104,0,1,0,232,128,104.11,104.11,0,0,0,128,24Zm0,192a88,88,0,1,1,88-88A88.1,88.1,0,0,1,128,216Zm37.66-85.66a8,8,0,0,1,0,11.32l-32,32a8,8,0,0,1-11.32,0l-32-32a8,8,0,0,1,11.32-11.32L120,148.69V88a8,8,0,0,1,16,0v60.69l18.34-18.35A8,8,0,0,1,165.66,130.34Z\">\u003C/path>\u003C/svg>","\u003Csvg width=\"1em\" height=\"1em\" viewBox=\"0 0 24 24\" fill=\"currentColor\" xmlns=\"http://www.w3.org/2000/svg\">\n\u003Cpath d=\"M9.70697 16.9496L15.414 11.2426L9.70697 5.53564L8.29297 6.94964L12.586 11.2426L8.29297 15.5356L9.70697 16.9496Z\" fill=\"currentColor\"/>\n\u003C/svg>\n",1793138230361]