滅伉圻幹

(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); })();
Estudio de caso

Rent-A-Center aumenta sus ventas centr│ndose en la experiencia de cliente

Con m│s de 2.400 tiendas en EE. UU., Puerto Rico y M└xico, Rent-A-Center emplea a m│s de 17.000 personas que atienden a m│s de un mill┏n de clientes. La empresa pone el poder adquisitivo en manos de sus clientes a trav└s de opciones de pago flexibles para que puedan disfrutar de art┴culos de alto valor como y cuando quieran. Con el objetivo de mejorar la experiencia del cliente y la retenci┏n, Rent-A-Center necesitaba una soluci┏n moderna para recopilar feedback a lo largo de todo el Customer journey.

Ahora, con 滅伉圻幹, existen diferentes puntos de contacto a lo largo del Customer journey donde Rent-A-Center puede recibir feedback sobre c┏mo mejorar y qu└ pueden hacer para proporcionar una mejor experiencia en el futuro. Rent-A-Center ahora puede capturar feedback e insights omnicanal a trav└s de 滅伉圻幹 Experience Cloud, mediante la tienda f┴sica, 滅伉圻幹 Digital y Text Analytics.

Lea el caso de estudio y descubra por qu└ el NPS ha aumentado un 54%, c┏mo la empresa ha experimentado un incremento del 19% en el crecimiento de clientes por tienda en promedio, y c┏mo las tiendas con mejor rendimiento en NPS superan a las de bajo rendimiento en un 28% en el crecimiento de ventas interanual.