https://steeped.ai/assets/BrandTrackingIntelligence-GnG_-OIB.js

1import{P as a}from"./PowerStatement-CQDUh4Lf.js";import{d as e,c as s,a as i,e as d,o as f,_ as r}from"./index-CrXwOG-7.js";const c={class:"ucm-page"},o=e({__name:"BrandTrackingIntelligence",setup(n){return(l,t)=>(f(),s("div",c,[t[0]||(t[0]=i('<div class="container-fluid ucm-hero" data-v-385fb9f0><div class="row justify-content-center" data-v-385fb9f0><div class="col-11 col-sm-10 col-md-8 col-lg-6 col-xl-5 text-center" data-v-385fb9f0><div class="ucm-pill-wrap" data-v-385fb9f0><div class="ucm-pill" data-v-385fb9f0><span class="ucm-pill-dot" data-v-385fb9f0></span> RESEARCH </div></div><h1 class="ucm-title" data-v-385fb9f0><span class="ucm-title-accent" data-v-385fb9f0>Brand Tracking</span> &amp; Consumer Perception Analytics </h1><p class="ucm-sub" data-v-385fb9f0> A continuous measurement system for brand health, not isolated snapshots. </p></div></div></div><section class="ucm-shell-section" data-v-385fb9f0><div class="container-fluid" data-v-385fb9f0><div class="row justify-content-center" data-v-385fb9f0><div class="col-11 col-xl-10" data-v-385fb9f0><div class="ucm-shell-card" data-v-385fb9f0><div class="ucm-shell-left" data-v-385fb9f0><p class="ucm-shell-body" data-v-385fb9f0> Track how customer perceptions evolve across brand trackers, awareness surveys, social exports, reviews, customer interviews, focus groups, and support interactions. Steeped AI identifies emerging associations, emotional themes, brand attributes, purchase drivers, and competitive positioning while automatically validating statistically meaningful changes over time. </p><p class="ucm-shell-body ucm-shell-body-2" data-v-385fb9f0> Instead of isolated reporting snapshots, marketing teams gain a continuous measurement system for brand health. Every wave is comparable to the last, so a shift in how customers describe your brand is caught the moment it becomes real, backed by exact counts, citations, and university-grade significance testing you can take to the leadership team. </p></div><div class="ucm-shell-right" data-v-385fb9f0><div class="ucm-img-border" data-v-385fb9f0><div class="ucm-mock-frame" data-v-385fb9f0><div class="mock-ds" data-v-385fb9f0><div class="mock-ds-top-row" data-v-385fb9f0><span class="mock-ds-label" data-v-385fb9f0>AI Report</span><span class="mock-ds-pencil" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><path d="M11 4H4a2 2 0 0 0-2 2v14a2 2 0 0 0 2 2h14a2 2 0 0 0 2-2v-7" data-v-385fb9f0></path><path d="M18.5 2.5a2.121 2.121 0 0 1 3 3L12 15l-4 1 1-4 9.5-9.5z" data-v-385fb9f0></path></svg></span></div><div class="mock-ds-title" data-v-385fb9f0>Brand Health Shifts Across Quarters</div><div class="mock-ds-para" data-v-385fb9f0>This report tracks 6 quarters of brand tracker and social data, flagging which perception shifts are statistically real.</div><div class="mock-ds-para" data-v-385fb9f0>&quot;Trustworthy&quot; associations rose to 44% of mentions,<sup class="mock-ds-sup" data-v-385fb9f0>1</sup> up from 31% two quarters ago<sup class="mock-ds-sup" data-v-385fb9f0>2</sup> and strongest among urban millennials.<sup class="mock-ds-sup" data-v-385fb9f0>3</sup></div><div class="mock-ds-para" data-v-385fb9f0>&quot;Overpriced&quot; language recurs as a purchase barrier. It accounts for 27% of detractor comments,<sup class="mock-ds-sup" data-v-385fb9f0>4</sup> 22% of churn mentions,<sup class="mock-ds-sup" data-v-385fb9f0>5</sup> and correlates with a 1.9x lower repurchase intent.<sup class="mock-ds-sup" data-v-385fb9f0>6</sup></div></div></div></div></div></div></div></div></div></section><section class="ucm-features-section" data-v-385fb9f0><div class="container-fluid" data-v-385fb9f0><div class="row justify-content-center" data-v-385fb9f0><div class="col-11 col-xl-10" data-v-385fb9f0><div class="ucm-feat-row" data-v-385fb9f0><div class="ucm-feat-text" data-v-385fb9f0><h2 class="ucm-feat-title" data-v-385fb9f0>AI Topic Mapping</h2><p class="ucm-feat-desc" data-v-385fb9f0>Use Steeped AI&#39;s <a href="https://steeped.ai/data-enhancement-services/ai-topic-mapping" data-v-385fb9f0>AI topic mapping</a> to convert open-ended survey responses, reviews, and social posts into measurable brand attributes, emotional themes, and purchase drivers. Quantify how often each association appears so you track what customers actually feel, not just the words they use.</p></div><div class="ucm-feat-visual" data-v-385fb9f0><div class="ucm-visual-glass" data-v-385fb9f0><div class="ucm-tm-wrap" data-v-385fb9f0><svg class="ucm-tm-svg" viewBox="0 0 300 153" xmlns="http://www.w3.org/2000/svg" data-v-385fb9f0><rect x="20" y="20" width="20" height="20" rx="5" fill="white" stroke="#5c42d8" stroke-width="1.5" data-v-385fb9f0></rect><g transform="translate(24,24) scale(0.5)" stroke="#5c42d8" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><circle cx="12" cy="8" r="7" data-v-385fb9f0></circle><polyline points="8.21 13.89 7 23 12 20 17 23 15.79 13.88" data-v-385fb9f0></polyline></g><rect x="100" y="20" width="20" height="20" rx="5" fill="white" stroke="#7a3abf" stroke-width="1.5" data-v-385fb9f0></rect><g transform="translate(104,24) scale(0.5)" stroke="#7a3abf" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><circle cx="12" cy="12" r="10" data-v-385fb9f0></circle><path d="M8 14s1.5 2 4 2 4-2 4-2" data-v-385fb9f0></path><line x1="9" y1="9" x2="9.01" y2="9" data-v-385fb9f0></line><line x1="15" y1="9" x2="15.01" y2="9" data-v-385fb9f0></line></g><rect x="180" y="20" width="20" height="20" rx="5" fill="white" stroke="#9c31a7" stroke-width="1.5" data-v-385fb9f0></rect><g transform="translate(184,24) scale(0.5)" stroke="#9c31a7" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><circle cx="9" cy="21" r="1" data-v-385fb9f0></circle><circle cx="20" cy="21" r="1" data-v-385fb9f0></circle><path d="M1 1h4l2.68 13.39a2 2 0 0 0 2 1.61h9.72a2 2 0 0 0 2-1.61L23 6H6" data-v-385fb9f0></path></g><rect x="260" y="20" width="20" height="20" rx="5" fill="white" stroke="#b61d9b" stroke-width="1.5" data-v-385fb9f0></rect><g transform="translate(264,24) scale(0.5)" stroke="#b61d9b" fill="none" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><path d="M4 15s1-1 4-1 5 2 8 2 4-1 4-1V3s-1 1-4 1-5-2-8-2-4 1-4 1z" data-v-385fb9f0></path><line x1="4" y1="22" x2="4" y2="15" data-v-385fb9f0></line></g><path d="M30,40 C30,54 150,62 150,68" stroke="#5c42d8" stroke-width="1.5" fill="none" data-v-385fb9f0></path><path d="M110,40 C110,54 150,62 150,68" stroke="#7a3abf" stroke-width="1.5" fill="none" data-v-385fb9f0></path><path d="M190,40 C190,54 150,62 150,68" stroke="#9c31a7" stroke-width="1.5" fill="none" data-v-385fb9f0></path><path d="M270,40 C270,54 150,62 150,68" stroke="#b61d9b" stroke-width="1.5" fill="none" data-v-385fb9f0></path><rect x="10" y="68" width="280" height="82" rx="8" fill="white" stroke="#e8e8e8" stroke-width="1" data-v-385fb9f0></rect><text x="26" y="86" font-size="8" fill="#5c42d8" font-weight="600" font-family="inherit" data-v-385fb9f0>brand attribute</text><line x1="26" y1="92" x2="222" y2="92" stroke="#5c42d8" stroke-width="4" stroke-linecap="round" opacity="0.30" data-v-385fb9f0></line><text x="26" y="106" font-size="8" fill="#7a3abf" font-weight="600" font-family="inherit" data-v-385fb9f0>emotional theme</text><line x1="26" y1="112" x2="178" y2="112" stroke="#7a3abf" stroke-width="4" stroke-linecap="round" opacity="0.28" data-v-385fb9f0></line><text x="26" y="126" font-size="8" fill="#9229a8" font-weight="600" font-family="inherit" data-v-385fb9f0>purchase driver</text><line x1="26" y1="132" x2="244" y2="132" stroke="#9229a8" stroke-width="4" stroke-linecap="round" opacity="0.24" data-v-385fb9f0></line></svg></div></div></div></div><div class="ucm-feat-row ucm-feat-row-rev" data-v-385fb9f0><div class="ucm-feat-text" data-v-385fb9f0><h2 class="ucm-feat-title" data-v-385fb9f0>Statistical Significance Testing</h2><p class="ucm-feat-desc" data-v-385fb9f0>Steeped AI&#39;s <a href="https://steeped.ai/data-enhancement-services/significance-testing" data-v-385fb9f0>automated significance testing</a> confirms which wave-over-wave shifts are real movement versus sampling noise. A university-grade, 3-part framework keeps every brand-health call defensible, so you act on a genuine change in perception, not a bump in one survey.</p></div><div class="ucm-feat-visual" data-v-385fb9f0><div class="ucm-visual-glass" data-v-385fb9f0><div class="ucm-tm-wrap" data-v-385fb9f0><svg class="ucm-tm-svg" viewBox="0 0 300 150" xmlns="http://www.w3.org/2000/svg" data-v-385fb9f0><g fill="#d7d7e4" data-v-385fb9f0><rect x="20" y="16" width="28" height="22" rx="3" opacity="0.6" data-v-385fb9f0></rect><rect x="52" y="16" width="28" height="22" rx="3" opacity="0.42" data-v-385fb9f0></rect><rect x="84" y="16" width="28" height="22" rx="3" opacity="0.68" data-v-385fb9f0></rect><rect x="116" y="16" width="28" height="22" rx="3" opacity="0.5" data-v-385fb9f0></rect><rect x="212" y="16" width="28" height="22" rx="3" opacity="0.62" data-v-385fb9f0></rect><rect x="244" y="16" width="28" height="22" rx="3" opacity="0.46" data-v-385fb9f0></rect><rect x="20" y="42" width="28" height="22" rx="3" opacity="0.48" data-v-385fb9f0></rect><rect x="52" y="42" width="28" height="22" rx="3" opacity="0.66" data-v-385fb9f0></rect><rect x="84" y="42" width="28" height="22" rx="3" opacity="0.42" data-v-385fb9f0></rect><rect x="116" y="42" width="28" height="22" rx="3" opacity="0.58" data-v-385fb9f0></rect><rect x="212" y="42" width="28" height="22" rx="3" opacity="0.5" data-v-385fb9f0></rect><rect x="244" y="42" width="28" height="22" rx="3" opacity="0.64" data-v-385fb9f0></rect><rect x="20" y="68" width="28" height="22" rx="3" opacity="0.54" data-v-385fb9f0></rect><rect x="52" y="68" width="28" height="22" rx="3" opacity="0.4" data-v-385fb9f0></rect><rect x="84" y="68" width="28" height="22" rx="3" opacity="0.6" data-v-385fb9f0></rect><rect x="116" y="68" width="28" height="22" rx="3" opacity="0.46" data-v-385fb9f0></rect><rect x="148" y="68" width="28" height="22" rx="3" opacity="0.58" data-v-385fb9f0></rect><rect x="180" y="68" width="28" height="22" rx="3" opacity="0.44" data-v-385fb9f0></rect><rect x="212" y="68" width="28" height="22" rx="3" opacity="0.56" data-v-385fb9f0></rect><rect x="244" y="68" width="28" height="22" rx="3" opacity="0.5" data-v-385fb9f0></rect></g><rect x="148" y="16" width="28" height="22" rx="3" fill="#fb006a" data-v-385fb9f0></rect><rect x="180" y="16" width="28" height="22" rx="3" fill="#c01994" data-v-385fb9f0></rect><rect x="148" y="42" width="28" height="22" rx="3" fill="#9c31a7" data-v-385fb9f0></rect><rect x="180" y="42" width="28" height="22" rx="3" fill="#fb006a" data-v-385fb9f0></rect><rect x="66" y="102" width="168" height="36" rx="9" fill="#fff" stroke="#b61d9b" stroke-width="1.5" data-v-385fb9f0></rect>

1<circle cx="86" cy="120" r="9" fill="#b61d9b" data-v-385fb9f0></circle><path d="M81.5 120 l3 3 l6 -6" fill="none" stroke="#fff" stroke-width="1.9" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0></path><text x="102" y="116" font-size="9" font-weight="700" fill="#111" font-family="inherit" data-v-385fb9f0>Real Shift Confirmed</text><text x="102" y="129" font-size="8" fill="#8a1f78" font-weight="700" font-family="inherit" data-v-385fb9f0>p &lt; 0.01 · FDR corrected</text></svg></div></div></div></div><div class="ucm-feat-row" data-v-385fb9f0><div class="ucm-feat-text" data-v-385fb9f0><h2 class="ucm-feat-title" data-v-385fb9f0>Data Preparation</h2><p class="ucm-feat-desc" data-v-385fb9f0>Use Steeped AI&#39;s <a href="https://steeped.ai/data-enhancement-services/data-preparation" data-v-385fb9f0>data preparation</a> to reconcile inconsistent wave labels, survey scales, and source tags across trackers, panels, and social exports. When every vendor formats its export differently, Steeped AI standardizes them first, so your trend lines compare like with like.</p></div><div class="ucm-feat-visual" data-v-385fb9f0><div class="ucm-visual-glass" data-v-385fb9f0><div class="dp-wrap" data-v-385fb9f0><div class="dp-item" style="opacity:1;" data-v-385fb9f0><span class="dp-chk" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="#5c42d8" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><polyline points="20 6 9 17 4 12" data-v-385fb9f0></polyline></svg></span><span class="dp-text" data-v-385fb9f0>Wave labels &quot;Q1 24&quot;, &quot;2024 Q1&quot; and &quot;Wave 1&quot; were unified</span></div><div class="dp-item" style="opacity:0.76;" data-v-385fb9f0><span class="dp-chk" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="#5c42d8" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><polyline points="20 6 9 17 4 12" data-v-385fb9f0></polyline></svg></span><span class="dp-text" data-v-385fb9f0>Rescaled a 1-7 tracker onto the 0-10 scale used elsewhere</span></div><div class="dp-item" style="opacity:0.52;" data-v-385fb9f0><span class="dp-chk" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="#5c42d8" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><polyline points="20 6 9 17 4 12" data-v-385fb9f0></polyline></svg></span><span class="dp-text" data-v-385fb9f0>Mapped source tags &quot;IG&quot;, &quot;Insta&quot; and &quot;Instagram&quot; to one label</span></div><div class="dp-item" style="opacity:0.30;" data-v-385fb9f0><span class="dp-chk" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="#5c42d8" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><polyline points="20 6 9 17 4 12" data-v-385fb9f0></polyline></svg></span><span class="dp-text" data-v-385fb9f0>Removed column &quot;raw_verbatim&quot; because 79% of values were blank</span></div><div class="dp-item" style="opacity:0.14;" data-v-385fb9f0><span class="dp-chk" data-v-385fb9f0><svg xmlns="http://www.w3.org/2000/svg" width="10" height="10" viewBox="0 0 24 24" fill="none" stroke="#5c42d8" stroke-width="3.5" stroke-linecap="round" stroke-linejoin="round" data-v-385fb9f0><polyline points="20 6 9 17 4 12" data-v-385fb9f0></polyline></svg></span><span class="dp-text" data-v-385fb9f0>Duplicate respondents across panels were merged into one</span></div><div class="dp-divider" data-v-385fb9f0><span class="dp-div-line" data-v-385fb9f0></span><span class="dp-pill" data-v-385fb9f0>generating new dataset</span><span class="dp-div-line" data-v-385fb9f0></span></div><div class="dp-new-data" data-v-385fb9f0><div class="dp-nd-row" data-v-385fb9f0><span class="dp-nd-dot" data-v-385fb9f0></span><span class="dp-nd-label" data-v-385fb9f0>NEW DATA</span></div><div class="dp-nd-bars" data-v-385fb9f0><div class="dp-nd-bar" style="width:68%;" data-v-385fb9f0></div><div class="dp-nd-bar" style="width:44%;" data-v-385fb9f0></div><div class="dp-nd-bar" style="width:82%;" data-v-385fb9f0></div></div></div></div></div></div></div><div class="ucm-feat-row ucm-feat-row-rev" data-v-385fb9f0><div class="ucm-feat-text" data-v-385fb9f0><h2 class="ucm-feat-title" data-v-385fb9f0>Customer Journey Mapping</h2><p class="ucm-feat-desc" data-v-385fb9f0>Apply Steeped AI&#39;s <a href="https://steeped.ai/data-enhancement-services/journey-mapping" data-v-385fb9f0>journey mapping</a> to connect awareness, consideration, preference, and purchase into one measurable brand journey. See where perception strengthens or breaks between stages, so you invest in the moments that actually move customers toward your brand.</p></div><div class="ucm-feat-visual" data-v-385fb9f0><div class="ucm-visual-glass" data-v-385fb9f0><div class="ucm-tm-wrap" data-v-385fb9f0><svg class="ucm-tm-svg" viewBox="0 0 300 150" xmlns="http://www.w3.org/2000/svg" data-v-385fb9f0><defs data-v-385fb9f0><linearGradient id="brand-j" x1="30" y1="0" x2="182" y2="0" gradientUnits="userSpaceOnUse" data-v-385fb9f0><stop offset="0%" stop-color="#5c42d8" data-v-385fb9f0></stop><stop offset="100%" stop-color="#c01994" data-v-385fb9f0></stop></linearGradient></defs>

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