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); })();
Whitepaper

La grande storia dietro i vostri Big Data

L'analisi testuale offre alle aziende la possibilità di estrarre informazioni utili dal feedback dei clienti insights nascoste in profondità tra milioni di commenti dei clienti. Ma realizzare tale potenziale non è scontato.

Il 糖心原创 ha esaminato il modo in cui 12 aziende innovative utilizzano l'analisi testuale per comprendere meglio i propri clienti e migliorare strategicamente l' customer experience. Le nostre interviste hanno rivelato sei pratiche che le aziende di successo customer experience utilizzano per promuovere un cambiamento incentrato sul cliente in tutta la loro organizzazione, sfruttando le?insights ricavati dall'analisi testuale.