{"id":7390,"date":"2026-06-30T18:52:16","date_gmt":"2026-06-30T18:52:16","guid":{"rendered":"https:\/\/usaonboard.com\/the-commercial-activation-score-explained\/"},"modified":"2026-07-02T16:41:41","modified_gmt":"2026-07-02T16:41:41","slug":"the-commercial-activation-score-explained","status":"publish","type":"page","link":"https:\/\/usaonboard.com\/es\/the-commercial-activation-score-explained\/","title":{"rendered":"The Commercial Activation Score,\u00a0explained."},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"7390\" class=\"elementor elementor-7390 elementor-7385\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-780a358c e-con-full e-flex e-con e-parent\" data-id=\"780a358c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-714ad71e e-con-full e-flex e-con e-child\" data-id=\"714ad71e\" data-element_type=\"container\" 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table.cmp{width:100%;border-collapse:collapse;font-family:var(--sans);font-size:13.5px;min-width:680px;}\n.uob-cas table.cmp th{padding:18px 18px;text-align:left;background:var(--navy);color:#fff;font-family:var(--serif);\n  font-size:17px;font-weight:500;border-right:1px solid rgba(255,255,255,.1);}\n.uob-cas table.cmp th:first-child{background:var(--navy-mid);font-family:var(--sans);font-size:10px;font-weight:600;\n  letter-spacing:.16em;text-transform:uppercase;color:var(--gold-lt);}\n.uob-cas table.cmp th.us{background:linear-gradient(135deg,var(--gold-dk),var(--gold));}\n.uob-cas table.cmp td{padding:15px 18px;border-bottom:1px solid var(--line-soft);border-right:1px solid var(--line-soft);\n  color:var(--ink-mid);vertical-align:top;}\n.uob-cas table.cmp td:first-child{font-family:var(--serif);font-size:15px;color:var(--navy);background:var(--off-white);font-weight:500;}\n.uob-cas table.cmp tr:last-child td{border-bottom:none;}\n.uob-cas table.cmp .yes{color:var(--emerald);font-weight:600;}\n.uob-cas table.cmp .no{color:var(--ink-faint);}\n.uob-cas table.cmp td.usc{background:var(--gold-bg);color:var(--gold-dk);font-weight:600;}\n\n\/* \u2550\u2550\u2550\u2550 PRIVACY \/ LIMITS list \u2550\u2550\u2550\u2550 *\/\n.uob-cas .pcards{display:grid;grid-template-columns:1fr 1fr;gap:18px;margin-top:38px;}\n.uob-cas .pcard{background:var(--paper);border:1px solid var(--line);padding:26px 28px;display:flex;gap:16px;align-items:flex-start;}\n.uob-cas .pcard svg{width:24px;height:24px;color:var(--gold);flex-shrink:0;margin-top:2px;}\n.uob-cas .pcard p{font-size:14px;color:var(--ink-soft);line-height:1.6;margin:0;}\n.uob-cas .pcard p b{color:var(--navy);font-weight:600;font-family:var(--serif);font-size:16px;display:block;margin-bottom:4px;}\n\n\/* \u2550\u2550\u2550\u2550 CTA \u2550\u2550\u2550\u2550 *\/\n.uob-cas .cta{background:var(--navy);color:#fff;padding:96px 0;text-align:center;position:relative;overflow:hidden;}\n.uob-cas .cta::before{content:\"\";position:absolute;inset:0;background:radial-gradient(circle at 50% 0%,rgba(176,141,87,.16),transparent 58%);}\n.uob-cas .cta-inner{position:relative;max-width:720px;margin:0 auto;}\n.uob-cas .cta h2{font-family:var(--serif);font-size:46px;font-weight:400;line-height:1.1;margin:22px 0 20px;color:#fff;}\n.uob-cas .cta h2 em{font-style:italic;color:var(--gold-lt);}\n.uob-cas .cta p{font-size:17px;color:rgba(255,255,255,.78);line-height:1.7;margin:0 auto 38px;max-width:560px;}\n.uob-cas .cta-btns{display:flex;gap:16px;justify-content:center;flex-wrap:wrap;}\n.uob-cas .demo-plate{margin:38px auto 0;max-width:440px;background:rgba(255,255,255,.05);\n  border:1px solid var(--gold-lt);border-radius:2px;padding:24px 32px;display:flex;flex-direction:column;\n  align-items:center;gap:4px;animation:uobBob 2.4s ease-in-out infinite;}\n.uob-cas .demo-plate .dp-label{font-family:var(--sans);font-size:14px;font-weight:600;letter-spacing:.18em;\n  text-transform:uppercase;color:var(--gold-lt);}\n.uob-cas .demo-plate .dp-sub{font-family:var(--serif);font-size:16px;font-style:italic;color:rgba(255,255,255,.7);}\n.uob-cas .demo-plate .dp-arrow{width:26px;height:26px;color:var(--gold-lt);margin-top:6px;}\n@keyframes uobBob{0%,100%{transform:translateY(0);}50%{transform:translateY(6px);}}\n\n@media(max-width:980px){\n  .uob-cas .hero h1{font-size:46px;}\n  .uob-cas .hero-defn{grid-template-columns:1fr;gap:22px 0;}\n  .uob-cas .hero-defn .hd{border-right:none;border-bottom:1px solid rgba(255,255,255,.09);padding:0 0 18px;}\n  .uob-cas .hero-defn .hd:last-child{border-bottom:none;}\n  .uob-cas .layers,.uob-cas .alchemy-types,.uob-cas .examples,.uob-cas .pcards,.uob-cas .film{grid-template-columns:1fr;}\n  .uob-cas .film{gap:34px;}\n  .uob-cas .scale-leg{grid-template-columns:1fr 1fr;}\n  .uob-cas .formula-row{flex-direction:column;}\n  .uob-cas .fplus{justify-content:center;padding:4px 0;}\n  .uob-cas .sig-row{grid-template-columns:1fr 100px 50px;}\n  .uob-cas .sig-bar{display:none;}\n}\n@media(max-width:560px){\n  .uob-cas .wrap,.uob-cas .wrap-narrow{padding:0 22px;}\n  .uob-cas .hero{padding:70px 0 56px;}\n  .uob-cas .hero h1{font-size:36px;}\n  .uob-cas .sec h2,.uob-cas .cta h2{font-size:31px;}\n  .uob-cas .scale-leg{grid-template-columns:1fr;}\n  .uob-cas .scale,.uob-cas .formula{padding:28px 24px;}\n  .uob-cas .sig-row{grid-template-columns:1fr 50px;}\n  .uob-cas .sig-type{display:none;}\n}\n<\/style>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 HERO \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"hero\">\n  <div class=\"hero-grid\"><\/div>\n  <div class=\"wrap hero-inner\">\n    <div class=\"hero-meta\">\n      <span>ADVERTISING&nbsp;&nbsp;\u00b7&nbsp;&nbsp;METHODOLOGY&nbsp;&nbsp;\u00b7&nbsp;&nbsp;HOW THE SMART ENGINE ENABLES TOTAL SEGMENTATION<\/span>\n    <\/div>\n    <h1>The Commercial Activation Score, <em>explained.<\/em><\/h1>\n    <p class=\"hero-lede\">A clear, honest account of the engine that scores every USA ONBOARD reader's buying intent, in real time, in 128 categories. How it works, why it works, and why it produces results a traditional media buy structurally cannot.<\/p>\n    <div class=\"hero-defn\">\n      <div class=\"hd\"><div class=\"t\">THE RANGE<\/div><div class=\"d\">A score from 0 to 100<\/div><\/div>\n      <div class=\"hd\"><div class=\"t\">THE GRANULARITY<\/div><div class=\"d\">Per reader, per category, across 128<\/div><\/div>\n      <div class=\"hd\"><div class=\"t\">THE STATE<\/div><div class=\"d\">Recalculated every day<\/div><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 TOC \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<nav class=\"toc\">\n  <div class=\"toc-inner\">\n    <a href=\"#why\"><span class=\"tn\">01<\/span>Why CAS exists<\/a>\n    <a href=\"#what\"><span class=\"tn\">02<\/span>What it measures<\/a>\n    <a href=\"#layers\"><span class=\"tn\">03<\/span>The four layers<\/a>\n    <a href=\"#formula\"><span class=\"tn\">04<\/span>The formula<\/a>\n    <a href=\"#alchemy\"><span class=\"tn\">05<\/span>The alchemy<\/a>\n    <a href=\"#film\"><span class=\"tn\">06<\/span>Why it moves<\/a>\n    <a href=\"#thresholds\"><span class=\"tn\">07<\/span>The thresholds<\/a>\n    <a href=\"#examples\"><span class=\"tn\">08<\/span>Three readers<\/a>\n    <a href=\"#vs\"><span class=\"tn\">09<\/span>vs. alternatives<\/a>\n    <a href=\"#trust\"><span class=\"tn\">10<\/span>Privacy &amp; limits<\/a>\n  <\/div>\n<\/nav>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 01 \u00b7 WHY \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec\" id=\"why\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">01 \u00b7 Why CAS exists<\/div>\n      <h2>The advertising industry has always paid for <em>everyone.<\/em><\/h2>\n      <p class=\"lede\">For a brand selling a $300 product, paying for everyone is fine. For a brand selling a $3 million yacht, it is structurally absurd.<\/p>\n      <p>The CPM model, cost per thousand impressions, solved a real problem in 1962, when buying media meant buying audience size. Sixty years later it is still the dominant logic across luxury print, digital display and most email. You pay for reach, not for fit.<\/p>\n      <p>When the conversion funnel is wide and shallow, that works. But in the high-end marine market, the buyers who matter are a vanishingly small share of any general audience, and reaching the rest is pure waste. The problem is not the price of attention. It is that traditional media cannot tell you <em>whose<\/em> attention you just bought.<\/p>\n      <div class=\"pull\">CAS exists to answer the one question a CPM never could: <em>of all these readers, which ones can actually buy what I sell, and which ones are ready right now?<\/em><\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 02 \u00b7 WHAT \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec alt\" id=\"what\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">02 \u00b7 What CAS measures<\/div>\n      <h2>A score of 0 to 100, per reader, per category, <em>every day.<\/em><\/h2>\n      <p>The Commercial Activation Score is a daily-updated number assigned to every authenticated USA ONBOARD reader, in every category we publish in. It expresses how likely that reader is to be in active purchase consideration for that specific category, today.<\/p>\n      <p>It is not a label about who someone is. It is a reading of <em>where they are<\/em> right now, on a path toward a decision. And because it is computed separately for each of our 128 categories, the same reader can be a near-certain prospect in one category and completely irrelevant in another.<\/p>\n    <\/div>\n    <div class=\"scale\">\n      <div class=\"scale-title\">The CAS scale<\/div>\n      <div class=\"scale-bar\">\n        <span class=\"mk\" style=\"left:50%\"><\/span>\n        <span class=\"mk\" style=\"left:75%\"><\/span>\n      <\/div>\n      <div class=\"scale-nums\">\n        <span style=\"left:0%\">0<\/span>\n        <span style=\"left:50%\">50<\/span>\n        <span style=\"left:75%\">75<\/span>\n        <span style=\"left:100%\">100<\/span>\n      <\/div>\n      <div class=\"scale-leg\">\n        <div class=\"sl\"><div class=\"n\">0<\/div><div class=\"l\">Cold<\/div><p>No measurable interest, no asset alignment, no behavioral signal.<\/p><\/div>\n        <div class=\"sl\"><div class=\"n\">50<\/div><div class=\"l\">Engaged<\/div><p>Reads category content, plausible asset profile, no recent purchase signals.<\/p><\/div>\n        <div class=\"sl\"><div class=\"n\">75<\/div><div class=\"l\">Researching<\/div><p>Substantial reading, downloads, repeat visits, and the asset profile fits.<\/p><\/div>\n        <div class=\"sl\"><div class=\"n\">90+<\/div><div class=\"l\">Hot<\/div><p>All four signal layers align. In active consideration, right now.<\/p><\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 03 \u00b7 LAYERS \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec\" id=\"layers\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">03 \u00b7 The four signal layers<\/div>\n      <h2>No single piece of data tells the truth. <em>Four, together, do.<\/em><\/h2>\n      <p>Demographics alone give you clich\u00e9s. Behavior alone confuses curiosity for capability. Asset data alone tells you who is wealthy, but not who wants anything. CAS is the weighted synthesis of four independent layers, and the demographic and patrimonial layers are precisely what tune each reader's score to the fine grain that mass media never reaches.<\/p>\n    <\/div>\n    <div class=\"layers\">\n      <div class=\"layer\">\n        <div class=\"lh\">\n          <div class=\"li\"><div class=\"badge\">D<\/div><div><div class=\"lnum\">Layer 01 \u00b7 Demographic<\/div><h4>Demographic Profile<\/h4><\/div><\/div>\n          <div class=\"wt\">15%<small>Weight<\/small><\/div>\n        <\/div>\n        <p>Age, region, gender, marital status, profession where declared. Calibrated against real nautical buying patterns: a South Florida buyer aged 45 to 64 carries a different baseline than a Pacific Northwest reader aged 35 to 44. <span class=\"hl\">This is the first layer of fine tuning.<\/span><\/p>\n      <\/div>\n      <div class=\"layer cap\">\n        <div class=\"lh\">\n          <div class=\"li\"><div class=\"badge\">A<\/div><div><div class=\"lnum\">Layer 02 \u00b7 Patrimony<\/div><h4>Asset &amp; Wealth Signals<\/h4><\/div><\/div>\n          <div class=\"wt\">35%<small>Weight<\/small><\/div>\n        <\/div>\n        <p>Property tier, waterfront status, current vessel ownership by size and year, private aviation. This is the <span class=\"hl\">capability filter<\/span>: a reader without a plausible asset profile cannot score above 60, no matter how much they read. Capacity is what keeps the number honest.<\/p>\n      <\/div>\n      <div class=\"layer\">\n        <div class=\"lh\">\n          <div class=\"li\"><div class=\"badge\">C<\/div><div><div class=\"lnum\">Layer 03 \u00b7 Content<\/div><h4>Content &amp; Behavior<\/h4><\/div><\/div>\n          <div class=\"wt\">35%<small>Weight<\/small><\/div>\n        <\/div>\n        <p>What the reader reads, how long, how deep, how often: downloads, video watch-time, newsletter clicks. <span class=\"hl\">Depth beats breadth.<\/span> Five articles fully read outweigh fifty skimmed. This is the live, moving signal of genuine interest.<\/p>\n      <\/div>\n      <div class=\"layer\">\n        <div class=\"lh\">\n          <div class=\"li\"><div class=\"badge\">T<\/div><div><div class=\"lnum\">Layer 04 \u00b7 Trajectory<\/div><h4>Trajectory Over Time<\/h4><\/div><\/div>\n          <div class=\"wt\">15%<small>Weight<\/small><\/div>\n        <\/div>\n        <p>Is the score rising, stable or cooling? Two readers at 92 are not the same: one steady for months, one who climbed from 67 in ninety days. <span class=\"hl\">The second is in active acceleration<\/span>, and far more likely to convert soon.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 04 \u00b7 FORMULA \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec alt\" id=\"formula\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">04 \u00b7 How the score is calculated<\/div>\n      <h2>The formula, with no <em>hand-waving.<\/em><\/h2>\n      <p>You do not need to be a mathematician to read it. Each of the four layers becomes its own 0 to 100 sub-score, and the final CAS is simply a weighted blend of them. The two layers that decide most are capacity and behavior, exactly the two that mass media ignores.<\/p>\n    <\/div>\n    <div class=\"formula\">\n      <div class=\"fh\">The four sub-scores, blended by weight<\/div>\n      <div class=\"formula-row\">\n        <div class=\"fterm\"><div class=\"fw\">15%<\/div><div class=\"fn\">Demographic<\/div><div class=\"fd\">Who they are<\/div><\/div>\n        <div class=\"fplus\">+<\/div>\n        <div class=\"fterm\"><div class=\"fw\">35%<\/div><div class=\"fn\">Assets<\/div><div class=\"fd\">What they can afford<\/div><\/div>\n        <div class=\"fplus\">+<\/div>\n        <div class=\"fterm\"><div class=\"fw\">35%<\/div><div class=\"fn\">Content<\/div><div class=\"fd\">What they do now<\/div><\/div>\n        <div class=\"fplus\">+<\/div>\n        <div class=\"fterm\"><div class=\"fw\">15%<\/div><div class=\"fn\">Trajectory<\/div><div class=\"fd\">Where they are heading<\/div><\/div>\n      <\/div>\n      <div class=\"formula-eq\">\n        <span class=\"eqlabel\">In short<\/span>\n        <span class=\"eqcode\">CAS = 0.15 D + 0.35 A + 0.35 C + 0.15 T &rarr; a number from 0 to 100<\/span>\n      <\/div>\n      <p class=\"formula-note\">Assets and content are category-aware: a reader's asset and content sub-scores in Yachts are computed from yacht-specific signals, not from a generic profile. That is why the same person holds a different score in every one of the 128 categories.<\/p>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 05 \u00b7 ALCHEMY \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec\" id=\"alchemy\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">05 \u00b7 The alchemy of the engine<\/div>\n      <h2>Categories are not islands. They <em>talk to each other.<\/em><\/h2>\n      <p class=\"lede\">This is where the real intelligence lives, and where most people misunderstand how the engine works.<\/p>\n      <p>It would be easy, and wrong, to treat all 128 categories as independent dimensions that never touch. They are not. Some categories are indifferent to one another. Some are mutually exclusive. And some are deeply complementary, where movement in one inevitably opens a constellation of needs in others.<\/p>\n    <\/div>\n    <div class=\"alchemy-types\">\n      <div class=\"atype\">\n        <div class=\"at-t\">Indifferent<\/div>\n        <div class=\"at-d\">Two categories with no logical relationship. A reader's score in one says nothing about the other.<\/div>\n        <div class=\"at-ex\">Sportfishing Boats &harr; Fine Watches<\/div>\n      <\/div>\n      <div class=\"atype exc\">\n        <div class=\"at-t\">Mutually exclusive<\/div>\n        <div class=\"at-d\">Interest in one makes the other unlikely. A signal in one quietly suppresses the other.<\/div>\n        <div class=\"at-ex\">New Yacht Purchase &harr; Used Yacht Brokerage<\/div>\n      <\/div>\n      <div class=\"atype comp\">\n        <div class=\"at-t\">Complementary<\/div>\n        <div class=\"at-d\">One category necessarily implies others. This is where the engine creates value no behavior alone reveals.<\/div>\n        <div class=\"at-ex\">Yacht Purchase &rarr; Insurance, Finance, Marina, Crew<\/div>\n      <\/div>\n    <\/div>\n    <div class=\"flow\" style=\"margin-top:40px;\">\n      <p>Take the clearest case. A reader moving toward the purchase of a 90-foot yacht does not stop there. That single decision inevitably opens a periphery of needs: <strong>insurance, financing, a berth at a premium marina, crew, management, maintenance.<\/strong> They may never search for those things directly. But the engine knows that the purchase implies them.<\/p>\n      <p>This is the alchemy: the engine reads a strong signal in one category and intelligently raises the inferred score in the complementary ones, before the reader has typed a single word about them. <em>That inference is the mother of all the engine's answers,<\/em> and it is what turns one reader's behavior into opportunities for a dozen different advertisers at once.<\/p>\n    <\/div>\n    <div class=\"constellation\">\n      <div class=\"ctitle\">One purchase, a <em>constellation<\/em> of intent<\/div>\n      <div class=\"csub\">A single deep signal in Yachts, and what it opens<\/div>\n      <svg viewBox=\"0 0 920 380\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" role=\"img\" aria-label=\"Yacht purchase opening peripheral category needs\">\n        <defs>\n          <radialGradient id=\"casCore\" cx=\"50%\" cy=\"50%\" r=\"50%\">\n            <stop offset=\"0\" stop-color=\"#c9a96e\"\/><stop offset=\"1\" stop-color=\"#8a6b38\"\/>\n          <\/radialGradient>\n        <\/defs>\n        <!-- connecting lines first (behind nodes) -->\n        <g stroke=\"#3a4a59\" stroke-width=\"1.5\">\n          <line x1=\"460\" y1=\"190\" x2=\"190\" y2=\"78\"\/>\n          <line x1=\"460\" y1=\"190\" x2=\"730\" y2=\"78\"\/>\n          <line x1=\"460\" y1=\"190\" x2=\"140\" y2=\"200\"\/>\n          <line x1=\"460\" y1=\"190\" x2=\"780\" y2=\"200\"\/>\n          <line x1=\"460\" y1=\"190\" x2=\"230\" y2=\"312\"\/>\n          <line x1=\"460\" y1=\"190\" x2=\"690\" y2=\"312\"\/>\n        <\/g>\n        <!-- core node -->\n        <circle cx=\"460\" cy=\"190\" r=\"62\" fill=\"url(#casCore)\"\/>\n        <text x=\"460\" y=\"182\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"20\" font-weight=\"600\" fill=\"#fff\">Yacht<\/text>\n        <text x=\"460\" y=\"204\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"20\" font-weight=\"600\" fill=\"#fff\">90 ft<\/text>\n        <text x=\"460\" y=\"270\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"11\" font-weight=\"600\" letter-spacing=\"1\" fill=\"#c9a96e\">DIRECT SIGNAL \u00b7 95<\/text>\n        <!-- peripheral nodes -->\n        <g>\n          <circle cx=\"190\" cy=\"78\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"190\" y=\"74\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"12\" fill=\"#fff\">Insurance<\/text>\n          <text x=\"190\" y=\"92\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">64<\/text>\n        <\/g>\n        <g>\n          <circle cx=\"730\" cy=\"78\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"730\" y=\"74\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"12\" fill=\"#fff\">Finance<\/text>\n          <text x=\"730\" y=\"92\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">60<\/text>\n        <\/g>\n        <g>\n          <circle cx=\"140\" cy=\"200\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"140\" y=\"196\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"12\" fill=\"#fff\">Marina<\/text>\n          <text x=\"140\" y=\"214\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">52<\/text>\n        <\/g>\n        <g>\n          <circle cx=\"780\" cy=\"200\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"780\" y=\"196\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"12\" fill=\"#fff\">Crew<\/text>\n          <text x=\"780\" y=\"214\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">55<\/text>\n        <\/g>\n        <g>\n          <circle cx=\"230\" cy=\"312\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"230\" y=\"308\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"11\" fill=\"#fff\">Maintenance<\/text>\n          <text x=\"230\" y=\"326\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">48<\/text>\n        <\/g>\n        <g>\n          <circle cx=\"690\" cy=\"312\" r=\"40\" fill=\"#13283b\" stroke=\"#b08d57\" stroke-width=\"1.5\"\/>\n          <text x=\"690\" y=\"308\" text-anchor=\"middle\" font-family=\"Jost,sans-serif\" font-size=\"11\" fill=\"#fff\">Management<\/text>\n          <text x=\"690\" y=\"326\" text-anchor=\"middle\" font-family=\"Cormorant Garamond,serif\" font-size=\"16\" font-style=\"italic\" fill=\"#c9a96e\">50<\/text>\n        <\/g>\n      <\/svg>\n    <\/div>\n    <div class=\"flow\" style=\"margin-top:40px;\">\n      <p>There is one discipline that keeps this honest. A <strong>direct signal<\/strong>, the category the reader is actually engaging with, can reach a full 100. An <strong>inferred signal<\/strong>, a need the engine deduces from a neighboring category, is deliberately capped at 70, so a predicted need never outranks a declared one. And a category with no logical link to the behavior stays at zero.<\/p>\n    <\/div>\n    <div class=\"sig-demo\">\n      <div class=\"sig-head\">\n        <div class=\"se\">SINGLE BEHAVIOR \u00b7 One deep read of a 90 ft yacht review<\/div>\n        <h4>Direct is obvious. <em>Inferred<\/em> is the intelligence.<\/h4>\n      <\/div>\n      <div class=\"sig-row\">\n        <div class=\"sig-cat\">Yachts 90 ft and above<\/div>\n        <div class=\"sig-type direct\">Direct<\/div>\n        <div class=\"sig-bar direct\"><i style=\"width:95%\"><\/i><\/div>\n        <div class=\"sig-val direct\">95<\/div>\n      <\/div>\n      <div class=\"sig-row\">\n        <div class=\"sig-cat\">Marine Insurance<\/div>\n        <div class=\"sig-type periph\">Inferred<\/div>\n        <div class=\"sig-bar periph\"><i style=\"width:64%\"><\/i><span class=\"cap\" style=\"left:70%\"><\/span><\/div>\n        <div class=\"sig-val periph\">64<\/div>\n      <\/div>\n      <div class=\"sig-row\">\n        <div class=\"sig-cat\">Yacht Financing<\/div>\n        <div class=\"sig-type periph\">Inferred<\/div>\n        <div class=\"sig-bar periph\"><i style=\"width:60%\"><\/i><span class=\"cap\" style=\"left:70%\"><\/span><\/div>\n        <div class=\"sig-val periph\">60<\/div>\n      <\/div>\n      <div class=\"sig-row\">\n        <div class=\"sig-cat\">Crew Management<\/div>\n        <div class=\"sig-type periph\">Inferred<\/div>\n        <div class=\"sig-bar periph\"><i style=\"width:55%\"><\/i><span class=\"cap\" style=\"left:70%\"><\/span><\/div>\n        <div class=\"sig-val periph\">55<\/div>\n      <\/div>\n      <div class=\"sig-row\">\n        <div class=\"sig-cat\">Fine Watches<\/div>\n        <div class=\"sig-type none\">No link<\/div>\n        <div class=\"sig-bar none\"><i style=\"width:4%\"><\/i><\/div>\n        <div class=\"sig-val none\">0<\/div>\n      <\/div>\n      <div class=\"sig-foot\">\n        <div class=\"ff\"><span class=\"dot d\"><\/span>Direct signal, ceiling of 100<\/div>\n        <div class=\"ff\"><span class=\"dot p\"><\/span>Inferred signal, ceiling of 70<\/div>\n        <div class=\"ff\"><span class=\"dot c\"><\/span>The 70 ceiling line<\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 06 \u00b7 FILM \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec alt\" id=\"film\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">06 \u00b7 Why the score moves<\/div>\n      <h2>A score is a <em>film,<\/em> not a photograph.<\/h2>\n    <\/div>\n    <div class=\"film\">\n      <div>\n        <p class=\"lead2\">A number frozen in time is incomplete information. The engine does not take a snapshot and walk away. On top of the base reading, it layers the forces that make the score breathe, day after day.<\/p>\n        <ul class=\"film-factors\">\n          <li><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M12 2v4M12 18v4M2 12h4M18 12h4\"\/><circle cx=\"12\" cy=\"12\" r=\"4\"\/><\/svg><div><b>Frequency<\/b><span>Repeated engagement in a category compounds the signal.<\/span><\/div><\/li>\n          <li><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M12 2a10 10 0 1 0 10 10\"\/><path d=\"M12 7v5l3 3\"\/><\/svg><div><b>Time decay<\/b><span>Interest fades if it is not renewed. A hot score cools on its own.<\/span><\/div><\/li>\n          <li><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M12 3v14M12 17l-4-4M12 17l4-4M4 21h16\"\/><\/svg><div><b>Behavioral weight<\/b><span>A download or a deep read counts for far more than a glance.<\/span><\/div><\/li>\n          <li><svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M3 21h18M5 21V8l7-5 7 5v13\"\/><\/svg><div><b>Capacity cross-check<\/b><span>The asset layer confirms or tempers every interest the behavior suggests.<\/span><\/div><\/li>\n        <\/ul>\n      <\/div>\n      <div class=\"timeline\">\n        <div class=\"tt\">Illustrative<\/div>\n        <div class=\"ts\">One reader, category <em>Yachts 70 to 90 ft<\/em><\/div>\n        <div class=\"tl-row\"><div class=\"tw\">Week 1<\/div><div class=\"tb\"><i style=\"width:34%\"><\/i><\/div><div class=\"tv\">34<\/div><\/div>\n        <div class=\"tl-row\"><div class=\"tw\">Week 2<\/div><div class=\"tb\"><i style=\"width:58%\"><\/i><\/div><div class=\"tv\">58<\/div><\/div>\n        <div class=\"tl-row\"><div class=\"tw\">Week 3 \u00b7 download<\/div><div class=\"tb\"><i style=\"width:82%\"><\/i><\/div><div class=\"tv\">82<\/div><\/div>\n        <div class=\"tl-row\"><div class=\"tw\">Week 4<\/div><div class=\"tb\"><i style=\"width:91%\"><\/i><\/div><div class=\"tv\">91<\/div><\/div>\n        <div class=\"tl-row cool\"><div class=\"tw\">Week 8 \u00b7 quiet<\/div><div class=\"tb\"><i style=\"width:63%\"><\/i><\/div><div class=\"tv\">63<\/div><\/div>\n        <div class=\"tl-note\">The peak in week 4 is the window. The engine activates the right campaign then, not weeks later when the score has already cooled.<\/div>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 07 \u00b7 THRESHOLDS \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec\" id=\"thresholds\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">07 \u00b7 What 90, 75 and 50 mean<\/div>\n      <h2>The thresholds are not arbitrary. They are <em>operational.<\/em><\/h2>\n      <p>Three specific scores drive the three stages of the Intelligent Activation Engine. Each is a probabilistic statement about the reader, calibrated against historical conversion data, not a number someone liked the look of.<\/p>\n    <\/div>\n    <div class=\"examples\">\n      <div class=\"ex hot\">\n        <div class=\"ex-score\"><b>90<\/b><span>Detection<\/span><\/div>\n        <h4>Active consideration<\/h4>\n        <p>All four layers align. This reader enters Stage 01, where a pre-designed campaign reaches them automatically while the intent is live.<\/p>\n      <\/div>\n      <div class=\"ex warm\">\n        <div class=\"ex-score\"><b>75<\/b><span>Reader-Time<\/span><\/div>\n        <h4>Researcher mode<\/h4>\n        <p>Substantial reading and a fitting asset profile. When this reader deeply reads an article featuring your product, Stage 02 fires a message about that exact product.<\/p>\n      <\/div>\n      <div class=\"ex cold\">\n        <div class=\"ex-score\"><b>50<\/b><span>Nurture<\/span><\/div>\n        <h4>Engaged, not ready<\/h4>\n        <p>Genuine interest, but not yet in market. Worth nurturing patiently, not worth spending an activation on today.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 08 \u00b7 EXAMPLES \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec alt\" id=\"examples\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">08 \u00b7 Three readers, three scores<\/div>\n      <h2>The same article, read by three people, <em>scored three ways.<\/em><\/h2>\n      <p>Imagine three readers who all finish the same review of a 24-meter yacht. A CPM model treats them identically: three impressions, one price. CAS does not.<\/p>\n    <\/div>\n    <div class=\"examples\">\n      <div class=\"ex hot\">\n        <div class=\"ex-score\"><b>94<\/b><span>Hot<\/span><\/div>\n        <h4>The waterfront owner<\/h4>\n        <p>Owns a $12M waterfront home and a 60 ft vessel from 2016, reads the category weekly, downloaded the buyer's guide. Capacity, behavior and trajectory all align. A real, present prospect.<\/p>\n      <\/div>\n      <div class=\"ex warm\">\n        <div class=\"ex-score\"><b>58<\/b><span>Warming<\/span><\/div>\n        <h4>The aspirational reader<\/h4>\n        <p>Reads everything about large yachts, but the asset profile points to a $3M inland home and no current vessel. Genuine passion, capped by the capability filter. Worth nurturing, not yet activating.<\/p>\n      <\/div>\n      <div class=\"ex cold\">\n        <div class=\"ex-score\"><b>21<\/b><span>Cold<\/span><\/div>\n        <h4>The one-time visitor<\/h4>\n        <p>Landed on the article once from a social link, no asset signal, no return. Curiosity, not intent. A CPM charged you for all three. CAS tells you which one to call.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 09 \u00b7 VS \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec\" id=\"vs\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">09 \u00b7 CAS vs. the alternatives<\/div>\n      <h2>Others have tried to score intent. None do it <em>quite like this.<\/em><\/h2>\n      <p>CAS is not the first attempt to measure buying intent. The B2B world has tools that score at the company level; the consumer world has lookalike modeling. Each solves part of the problem. None combine a per-person score with a real capability filter for the premium marine market.<\/p>\n    <\/div>\n    <div class=\"cmp-wrap\">\n      <table class=\"cmp\">\n        <thead><tr>\n          <th>Capability<\/th>\n          <th>Third-party intent data<\/th>\n          <th>Lookalike modeling<\/th>\n          <th class=\"us\">USA ONBOARD CAS<\/th>\n        <\/tr><\/thead>\n        <tbody>\n          <tr><td>Per-individual score<\/td><td class=\"no\">Aggregate, company level<\/td><td class=\"no\">Indirect, probabilistic<\/td><td class=\"usc\">Yes, per reader, daily<\/td><\/tr>\n          <tr><td>Capability \/ asset filter<\/td><td class=\"no\">None<\/td><td class=\"no\">None<\/td><td class=\"usc\">Yes, capacity-aware<\/td><\/tr>\n          <tr><td>Category granularity<\/td><td>Broad topics<\/td><td class=\"no\">Modeled audiences<\/td><td class=\"usc\">128 specific categories<\/td><\/tr>\n          <tr><td>Inferred peripheral needs<\/td><td class=\"no\">No<\/td><td class=\"no\">No<\/td><td class=\"usc\">Yes, the alchemy layer<\/td><\/tr>\n          <tr><td>First-party &amp; consented<\/td><td class=\"no\">Often third-party<\/td><td>Platform-dependent<\/td><td class=\"usc\">Yes, first-party only<\/td><\/tr>\n        <\/tbody>\n      <\/table>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 10 \u00b7 TRUST \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"sec alt\" id=\"trust\">\n  <div class=\"wrap\">\n    <div class=\"flow\">\n      <div class=\"sec-num\">10 \u00b7 Privacy, consent and honest limits<\/div>\n      <h2>Built on first-party data, with consent. And honest about <em>what it cannot do.<\/em><\/h2>\n      <p>Every layer of CAS is built from data the reader provided directly, generated through their own engagement, or drawn from publicly auditable sources. USA ONBOARD does not buy intent data from brokers, does not resell its database, and does not let advertisers touch raw user data without explicit, per-advertiser consent.<\/p>\n    <\/div>\n    <div class=\"pcards\">\n      <div class=\"pcard\">\n        <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M12 2l8 4v6c0 5-3.5 8-8 10-4.5-2-8-5-8-10V6z\"\/><path d=\"M9 12l2 2 4-4\"\/><\/svg>\n        <p><b>First-party only<\/b>Computed on registration data, declared profile, the reader's own engagement, and auditable public sources. Never purchased from a data broker.<\/p>\n      <\/div>\n      <div class=\"pcard\">\n        <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M20 6L9 17l-5-5\"\/><\/svg>\n        <p><b>Consent is per advertiser<\/b>A reader's contact data reaches an advertiser only after that reader gives explicit consent for that specific advertiser, with a time-stamped record.<\/p>\n      <\/div>\n      <div class=\"pcard\">\n        <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><path d=\"M12 8v4M12 16h.01\"\/><\/svg>\n        <p><b>A score is not a guarantee<\/b>CAS is a probabilistic instrument. It dramatically improves the odds of reaching the right reader at the right time. It does not promise that any individual will buy.<\/p>\n      <\/div>\n      <div class=\"pcard\">\n        <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.6\"><path d=\"M3 3v18h18\"\/><path d=\"M7 14l4-4 3 3 5-6\"\/><\/svg>\n        <p><b>It improves odds, not certainty<\/b>A reader at 92 with rising trajectory is far more likely to be in active consideration than one at 60. More likely is the honest claim. Guaranteed is not.<\/p>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<!-- \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 CTA \u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550\u2550 -->\n<section class=\"cta\">\n  <div class=\"wrap\">\n    <div class=\"cta-inner\">\n      <span class=\"eyebrow light center\">See It On Your Market<\/span>\n      <h2>Curious what your buyers <em>score?<\/em><\/h2>\n      <p>Tell a Strategic Advisor what you build, and we will show you, live, how the score and its alchemy would surface your real buyers across your own categories.<\/p>\n      <div class=\"cta-btns\">\n        <a class=\"btn btn-primary\" href=\"https:\/\/usaonboard.com\/five-plans-one-intelligence-suite\/\" data-uob-cta=\"view-plans\">Explore the Plans\n          <svg viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M5 12h14M13 6l6 6-6 6\"\/><\/svg><\/a>\n      <\/div>\n      <div class=\"demo-plate\" data-uob-cta=\"request-demo\">\n        <span class=\"dp-label\">Request a Demo<\/span>\n        <span class=\"dp-sub\">Complete the form below<\/span>\n        <svg class=\"dp-arrow\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\"><path d=\"M12 5v14M6 13l6 6 6-6\"\/><\/svg>\n      <\/div>\n    <\/div>\n  <\/div>\n<\/section>\n\n<script>\n(function(){\n  var root=document.querySelector('.uob-cas');\n  if(!root) return;\n  var links=root.querySelectorAll('.toc a');\n  links.forEach(function(a){\n    a.addEventListener('click',function(e){\n      var id=a.getAttribute('href');\n      if(id&&id.charAt(0)==='#'){\n        var el=root.querySelector(id);\n        if(el){e.preventDefault();\n          var y=el.getBoundingClientRect().top+window.pageYOffset-60;\n          window.scrollTo({top:y,behavior:'smooth'});\n        }\n      }\n    });\n  });\n})();\n<\/script>\n\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3178103 e-con-full e-flex e-con e-parent\" data-id=\"3178103\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-acbac4c elementor-widget elementor-widget-template\" data-id=\"acbac4c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"template.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-template\">\n\t\t\t\t\t<div data-elementor-type=\"container\" data-elementor-id=\"7413\" class=\"elementor elementor-7413\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4fdbf4be e-con-full e-flex e-con e-parent\" data-id=\"4fdbf4be\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-3afd47cd e-flex e-con-boxed e-con e-child\" data-id=\"3afd47cd\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4c8cbe0f elementor-widget elementor-widget-heading\" data-id=\"4c8cbe0f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Request a Demo<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50637631 elementor-widget elementor-widget-heading\" data-id=\"50637631\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">A Strategic Advisor will respond within one bussines day.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-195c0679 elementor-button-align-stretch elementor-widget elementor-widget-form\" data-id=\"195c0679\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;step_next_label&quot;:&quot;Next&quot;,&quot;step_previous_label&quot;:&quot;Previous&quot;,&quot;button_width&quot;:&quot;100&quot;,&quot;step_type&quot;:&quot;number_text&quot;,&quot;step_icon_shape&quot;:&quot;circle&quot;}\" data-widget_type=\"form.default\">\n\t\t\t\t\t\t\t<form class=\"elementor-form\" method=\"post\" name=\"New Form\" aria-label=\"New Form\">\n\t\t\t<input type=\"hidden\" name=\"post_id\" value=\"7413\"\/>\n\t\t\t<input type=\"hidden\" name=\"form_id\" value=\"195c0679\"\/>\n\t\t\t<input type=\"hidden\" name=\"referer_title\" value=\"Advertising\" \/>\n\n\t\t\t\t\t\t\t<input type=\"hidden\" name=\"queried_id\" value=\"7383\"\/>\n\t\t\t\n\t\t\t<div class=\"elementor-form-fields-wrapper elementor-labels-above\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-text elementor-field-group elementor-column elementor-field-group-name elementor-col-50 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-name\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tFIRST NAME\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"text\" name=\"form_fields[name]\" id=\"form-field-name\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-text elementor-field-group elementor-column elementor-field-group-field_365f3e5 elementor-col-50 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-field_365f3e5\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tLAST NAME\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"text\" name=\"form_fields[field_365f3e5]\" id=\"form-field-field_365f3e5\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-text elementor-field-group elementor-column elementor-field-group-field_b5aa9f8 elementor-col-100 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-field_b5aa9f8\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tCOMPANY \/ BRAND\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"text\" name=\"form_fields[field_b5aa9f8]\" id=\"form-field-field_b5aa9f8\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-email elementor-field-group elementor-column elementor-field-group-email elementor-col-50 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-email\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tWORK EMAIL\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"email\" name=\"form_fields[email]\" id=\"form-field-email\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-email elementor-field-group elementor-column elementor-field-group-field_079d02f elementor-col-50 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-field_079d02f\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tPHONE\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<input size=\"1\" type=\"email\" name=\"form_fields[field_079d02f]\" id=\"form-field-field_079d02f\" class=\"elementor-field elementor-size-sm  elementor-field-textual\" required=\"required\">\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-select elementor-field-group elementor-column elementor-field-group-field_6b78b3a elementor-col-100 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-field_6b78b3a\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tWHAT DO YOU BUILD OR SELL?\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field elementor-select-wrapper remove-before \">\n\t\t\t<div class=\"select-caret-down-wrapper\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-caret-down\" viewBox=\"0 0 571.4 571.4\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M571 393Q571 407 561 418L311 668Q300 679 286 679T261 668L11 418Q0 407 0 393T11 368 36 357H536Q550 357 561 368T571 393Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t\t<select name=\"form_fields[field_6b78b3a]\" id=\"form-field-field_6b78b3a\" class=\"elementor-field-textual elementor-size-sm\" required=\"required\">\n\t\t\t\t\t\t\t\t\t<option value=\"Select a category ...\">Select a category ...<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Yachts \/ Boats\">Yachts \/ Boats<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Products &amp; Services\">Products &amp; Services<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Maintenance, Refit &amp; Repair\">Maintenance, Refit &amp; Repair<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Ownership Services\">Ownership Services<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Marinas \/ Resorts\">Marinas \/ Resorts<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Lifestyle &amp; Onboarding Living\">Lifestyle &amp; Onboarding Living<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Watertoys\">Watertoys<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"AI \/ Smart Boating \/ Marine Tech\">AI \/ Smart Boating \/ Marine Tech<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Pre-Owned Brokerage\">Pre-Owned Brokerage<\/option>\n\t\t\t\t\t\t\t\t\t<option value=\"Luxury Goods\">Luxury Goods<\/option>\n\t\t\t\t\t\t\t<\/select>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-textarea elementor-field-group elementor-column elementor-field-group-field_e8dabcf elementor-col-100 elementor-field-required\">\n\t\t\t\t\t\t\t\t\t\t\t\t<label for=\"form-field-field_e8dabcf\" class=\"elementor-field-label\">\n\t\t\t\t\t\t\t\tWHAT WOULD YOU LIKE TO ACHIEVE?\t\t\t\t\t\t\t<\/label>\n\t\t\t\t\t\t<textarea class=\"elementor-field-textual elementor-field  elementor-size-sm\" name=\"form_fields[field_e8dabcf]\" id=\"form-field-field_e8dabcf\" rows=\"4\" required=\"required\"><\/textarea>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-type-text\">\n\t\t\t\t\t<input size=\"1\" type=\"text\" name=\"form_fields[field_19bef6e]\" id=\"form-field-field_19bef6e\" class=\"elementor-field elementor-size-sm \" style=\"display:none !important;\">\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<div class=\"elementor-field-group elementor-column elementor-field-type-submit elementor-col-100 e-form__buttons\">\n\t\t\t\t\t<button class=\"elementor-button elementor-size-sm\" type=\"submit\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-arrow-alt-circle-right\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256s111 248 248 248 248-111 248-248zm-448 0c0-110.5 89.5-200 200-200s200 89.5 200 200-89.5 200-200 200S56 366.5 56 256zm72 20v-40c0-6.6 5.4-12 12-12h116v-67c0-10.7 12.9-16 20.5-8.5l99 99c4.7 4.7 4.7 12.3 0 17l-99 99c-7.6 7.6-20.5 2.2-20.5-8.5v-67H140c-6.6 0-12-5.4-12-12z\"><\/path><\/svg>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">SEND REQUEST<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/button>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/form>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>ADVERTISING&nbsp;&nbsp;\u00b7&nbsp;&nbsp;METHODOLOGY&nbsp;&nbsp;\u00b7&nbsp;&nbsp;HOW THE SMART ENGINE ENABLES TOTAL SEGMENTATION The Commercial Activation Score, explained. A clear, honest account of the engine that scores every USA ONBOARD reader&#8217;s buying intent, in real time, in 128 categories. How it works, why it works, and why it produces results a traditional media buy structurally cannot. THE RANGEA score from 0 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"slim_seo":{"title":"The Commercial Activation Score,\u00a0explained. - USA ONBOARD","description":"ADVERTISING&nbsp;&nbsp;\u00b7&nbsp;&nbsp;METHODOLOGY&nbsp;&nbsp;\u00b7&nbsp;&nbsp;HOW THE SMART ENGINE ENABLES TOTAL SEGMENTATION The Commercial Activation Score, explain"},"footnotes":""},"class_list":["post-7390","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/pages\/7390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/comments?post=7390"}],"version-history":[{"count":5,"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/pages\/7390\/revisions"}],"predecessor-version":[{"id":7432,"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/pages\/7390\/revisions\/7432"}],"wp:attachment":[{"href":"https:\/\/usaonboard.com\/es\/wp-json\/wp\/v2\/media?parent=7390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}