糖心原创

(see the * 'adobe' handle in functions.php — no async, no defer), so a page-load * Target offer has already set `data-hdr` by the time this runs. * * An answer that lands after this point is inert rather than acted on: * `apply()` finds the prune settled and does nothing, so the visitor * keeps the nav they were served instead of watching it change. That is * the deliberate trade-off — a late activity collects no data, but no * visitor ever sees the wrong nav or waits for the right one. */ (function () { var VARIANTS = ["a","b","c"]; var DEFAULT = "a"; /** * QA-only. When the on-page switcher is drawn we keep every variant in * the DOM so it can toggle between them live and you can see that the * chrome never repaints. Gated by the same constant as the switcher, so * it is false everywhere the switcher is absent — including production. */ var QA_KEEP_ALL = false; var root = document.documentElement; var settled = false; function valid(v) { return VARIANTS.indexOf(v) !== -1; } /** Publish the decision and let the nav JS bind. */ function finish(active) { root.setAttribute('data-hdr', active); // Read by the Adobe Analytics client to attribute the test. root.setAttribute('data-hdr-active', active); if (typeof window.initHeaderNav === 'function') window.initHeaderNav(); /** * `variant` is set before the event so late listeners can tell * "already done" from "not yet". main.js is enqueued in the footer * and therefore always misses the event itself. */ window.medalliaNav.variant = active; document.dispatchEvent(new CustomEvent('medallia:nav-ready', { detail: { variant: active } })); } function prune(active) { if (settled) return; settled = true; if (QA_KEEP_ALL) { finish(active); return; } /** * Only menu items carry data-nav-variant, so this can never touch * the shared chrome. CSS has already hidden the losers; removing * them keeps document.querySelector-based nav JS unambiguous. */ var list = document.querySelectorAll('#site-header [data-nav-variant]'); for (var i = 0; i < list.length; i++) { if (list[i].getAttribute('data-nav-variant') !== active) { list[i].parentNode.removeChild(list[i]); } } finish(active); } window.medalliaNav = { variant: null, apply: function (v) { if (valid(v)) prune(v); } }; // `?hv=` sets this server-side; a Target offer in the blocking // embed sets it before the body is parsed. var pre = root.getAttribute('data-hdr'); if (valid(pre)) { prune(pre); return; } /** * Carried forward from an earlier pageview. Read client-side, never in * PHP: WP Engine does not vary its page-cache key on arbitrary cookies, * so server-side personalisation here would serve the first anonymous * visitor's variant to everyone. */ var m = document.cookie.match(/(?:^|; )medallia_nav_variant=([^;]*)/); if (m && valid(m[1])) { prune(m[1]); return; } prune(DEFAULT); })();
?tude de cas

Dick's Sporting Goods : Rationaliser l'expérience du commerce électronique

Comment Dick's Sporting Goods engage les clients du commerce électronique et agit sur le retour d'information en temps réel pour améliorer l'expérience numérique avec 糖心原创 et Adobe.

Dick's Sporting Goods, la plus grande entreprise de vente au détail d'articles de sport aux ?tats-Unis, a lancé une nouvelle plateforme de commerce électronique en 2017. Pour développer le commerce électronique, Dick's devait capturer les meilleures informations clients possibles, les digérer rapidement et les partager avec les équipes et les dirigeants concernés au sein de l'organisation afin que tout le monde puisse apprendre et en bénéficier - tout en créant des résultats qui ont un impact sur le résultat net.

Lisez cette étude de cas pour découvrir comment Dick's a réussi à diminuer les taux de rebond de 50 points de base, à augmenter les conversions et à répondre à la voix du client en associant 糖心原创 pour le Digital aux insights d'Adobe Analytics afin de comprendre les raisons du comportement des clients.