227 lines
18 KiB
HTML
Executable File
227 lines
18 KiB
HTML
Executable File
<!DOCTYPE html><html lang="fr"><head><meta charset="UTF-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>WEVADS • Predictive Send Window</title>
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<style>
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</style>
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</head><body>
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<!-- nav-pills-bar -->
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<div class="hdr"><div><h1>📈 WEVADS • <span>Predictive Send Window</span></h1><span style="font-size:10px;color:var(--d)">Envoi prédictif IA — P(open) = ∫ Behavioral_Data(t) dt — Maximiser CTR par timing optimal</span></div><div style="display:flex;gap:8px;align-items:center"><span class="badge badge-gn">● PREDICTING</span><span style="font-family:'JetBrains Mono',monospace;font-size:11px;color:var(--d)" id="clock"></span></div></div>
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<div class="wrap">
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<div class="stats">
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<div class="sc"><div class="n" style="color:var(--gn)">34.2%</div><div class="l">Open Rate (prédit)</div></div>
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<div class="sc"><div class="n" style="color:var(--gn)">+8.7%</div><div class="l">vs envoi standard</div></div>
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<div class="sc"><div class="n" style="color:var(--cy)">6</div><div class="l">Timezones</div></div>
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<div class="sc"><div class="n" style="color:var(--am)">09:14</div><div class="l">Peak heure EU</div></div>
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<div class="sc"><div class="n" style="color:var(--pu)">847K</div><div class="l">Profils analysés</div></div>
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<div class="sc"><div class="n" style="color:var(--pk)">14j</div><div class="l">Historique appris</div></div>
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</div>
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<div class="tabs">
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<div class="tab active" onclick="showTab('heatmap')">🔥 Heatmap</div>
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<div class="tab" onclick="showTab('predict')">🧠 Prédiction</div>
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<div class="tab" onclick="showTab('throttle')">⚡ Throttle IA</div>
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<div class="tab" onclick="showTab('tz')">🌍 Timezones</div>
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<div class="tab" onclick="showTab('drilldown')">📊 Drilldown</div>
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</div>
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<div class="panel active" id="tab-heatmap">
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<h3 style="font-size:12px;margin-bottom:10px">🔥 Heatmap P(open) — Par heure × jour</h3>
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<div style="display:flex;margin-bottom:4px;padding-left:30px"><div style="display:grid;grid-template-columns:repeat(24,1fr);gap:1px;flex:1;font-size:7px;color:var(--d);text-align:center" id="hm-hours"></div></div>
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<div id="heatmap-container"></div>
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<div style="display:flex;justify-content:space-between;margin-top:8px;font-size:9px;color:var(--d)">
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<div>🟢 P(open) élevé (>30%)</div><div>🟡 Moyen (15-30%)</div><div>🔴 Faible (<15%)</div>
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</div>
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<div class="grid3" style="margin-top:16px">
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<div style="background:var(--s2);border:1px solid var(--b);border-radius:8px;padding:12px;text-align:center"><div style="font-size:20px">🏆</div><div style="font-weight:700;color:var(--gn);margin-top:4px">Mardi 09:00-10:00</div><div style="font-size:9px;color:var(--d)">P(open) = 38.4% — Best window</div></div>
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<div style="background:var(--s2);border:1px solid var(--b);border-radius:8px;padding:12px;text-align:center"><div style="font-size:20px">🥈</div><div style="font-weight:700;color:var(--gn);margin-top:4px">Jeudi 14:00-15:00</div><div style="font-size:9px;color:var(--d)">P(open) = 35.2%</div></div>
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<div style="background:var(--s2);border:1px solid var(--b);border-radius:8px;padding:12px;text-align:center"><div style="font-size:20px">🥉</div><div style="font-weight:700;color:var(--gn);margin-top:4px">Mercredi 10:00-11:00</div><div style="font-size:9px;color:var(--d)">P(open) = 33.8%</div></div>
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</div>
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</div>
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<div class="panel" id="tab-predict">
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<div class="grid2">
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<div>
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<h3 style="font-size:12px;margin-bottom:10px;color:var(--gn)">🧠 Modèle prédictif</h3>
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<div style="background:var(--bg);border:1px solid var(--b);border-radius:8px;padding:14px;font-family:'JetBrains Mono',monospace;font-size:10px;line-height:2;margin-bottom:12px">
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<span style="color:var(--gn);font-weight:700">P(open|user,t) = Σᵢ wᵢ × fᵢ(user, t)</span><br>
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<br>
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<span style="color:var(--d)">Features:</span><br>
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f₁ = <span style="color:var(--cy)">timezone_match(user.tz, send_time)</span> w=0.25<br>
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f₂ = <span style="color:var(--cy)">historical_open_hour(user, hour)</span> w=0.30<br>
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f₃ = <span style="color:var(--cy)">day_of_week_preference(user, dow)</span> w=0.15<br>
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f₄ = <span style="color:var(--cy)">device_activity_pattern(user, t)</span> w=0.15<br>
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f₅ = <span style="color:var(--cy)">isp_congestion(isp, t)</span> w=0.10<br>
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f₆ = <span style="color:var(--cy)">recency_decay(last_open, t)</span> w=0.05<br>
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<br>
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<span style="color:var(--am)">Training: 847K profils × 14 jours = 11.8M datapoints</span>
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</div>
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<div class="form-row"><label>Simuler pour</label><select><option>Campagne FOMO — Hotmail US (4.1M)</option><option>Newsletter — Gmail DE (1.2M)</option><option>B2B — Mix EU</option></select></div>
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<div class="form-row"><label>Objectif</label><select><option>Maximiser Open Rate</option><option>Maximiser CTR</option><option>Minimiser Spam Score</option></select></div>
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<button class="btn btn-gn" style="width:100%" onclick="alert('Prédiction: Envoi optimal Mardi 09:14 CET → P(open)=34.2%')">🧠 Prédire meilleur créneau</button>
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</div>
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<div>
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<h3 style="font-size:12px;margin-bottom:10px">📊 Résultat prédiction</h3>
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<table><thead><tr><th>Créneau</th><th>P(open)</th><th>P(click)</th><th>ISP load</th><th>Score</th></tr></thead><tbody>
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<tr style="background:rgba(52,211,153,.05)"><td style="font-weight:700;color:var(--gn)">Mar 09:00-10:00</td><td style="color:var(--gn)">38.4%</td><td>4.8%</td><td style="color:var(--gn)">Low</td><td style="color:var(--gn)">★★★★★</td></tr>
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<tr><td>Jeu 14:00-15:00</td><td>35.2%</td><td>4.2%</td><td>Med</td><td>★★★★</td></tr>
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<tr><td>Mer 10:00-11:00</td><td>33.8%</td><td>3.9%</td><td style="color:var(--gn)">Low</td><td>★★★★</td></tr>
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<tr><td>Lun 08:00-09:00</td><td>31.5%</td><td>3.5%</td><td style="color:var(--am)">High</td><td>★★★</td></tr>
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<tr><td>Ven 11:00-12:00</td><td>29.8%</td><td>3.2%</td><td>Med</td><td>★★★</td></tr>
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<tr><td style="color:var(--rd)">Sam 02:00-03:00</td><td style="color:var(--rd)">8.2%</td><td style="color:var(--rd)">0.4%</td><td style="color:var(--gn)">Low</td><td>★</td></tr>
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</tbody></table>
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</div>
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</div>
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</div>
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<div class="panel" id="tab-throttle">
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<h3 style="font-size:12px;margin-bottom:12px">⚡ Throttle IA — Débit adaptatif en temps réel</h3>
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<div class="grid2">
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<div>
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<div style="background:var(--bg);border:1px solid var(--b);border-radius:8px;padding:14px;font-size:10px;line-height:2;margin-bottom:10px">
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<div style="font-weight:700;color:var(--gn);margin-bottom:6px">Débit actuel : <span style="font-family:'JetBrains Mono',monospace;font-size:18px">47 emails/min</span></div>
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Le throttle IA ajuste le débit en temps réel :<br>
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<strong style="color:var(--gn)">Fenêtre optimale</strong> (09-10h) → 80-100 emails/min<br>
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<strong style="color:var(--am)">Fenêtre moyenne</strong> (14-16h) → 40-60 emails/min<br>
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<strong style="color:var(--rd)">Fenêtre basse</strong> (22-06h) → 10-20 emails/min<br>
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<strong style="color:var(--pu)">ISP congestion</strong> détectée → auto-reduce -30%
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</div>
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<div class="form-row"><label>Mode throttle</label><select><option>🧠 Full IA (auto-adaptatif)</option><option>📈 Progressif (montée douce)</option><option>⚡ Burst (rapide puis pause)</option><option>🔒 Fixe (vitesse constante)</option></select></div>
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<div class="form-row"><label>Max emails/min</label><input type="number" value="100"></div>
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<div class="form-row"><label>Réaction ISP throttle</label><select><option>Auto-reduce -30% pendant 5min</option><option>Pause 2min puis retry</option><option>Switch méthode d'envoi</option></select></div>
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</div>
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<div>
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<h4 style="font-size:11px;margin-bottom:8px">Courbe de débit — Dernières 6h</h4>
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<div style="display:flex;gap:2px;align-items:flex-end;height:120px;padding:0 4px">
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<div style="flex:1;background:var(--s2);border-radius:2px 2px 0 0;height:20%"></div>
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<div style="flex:1;background:var(--s2);border-radius:2px 2px 0 0;height:15%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:45%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:85%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:95%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:90%"></div>
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<div style="flex:1;background:var(--am);border-radius:2px 2px 0 0;height:60%"></div>
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<div style="flex:1;background:var(--am);border-radius:2px 2px 0 0;height:55%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:70%"></div>
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<div style="flex:1;background:var(--gn);border-radius:2px 2px 0 0;height:65%"></div>
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<div style="flex:1;background:var(--am);border-radius:2px 2px 0 0;height:50%"></div>
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<div style="flex:1;background:var(--s2);border-radius:2px 2px 0 0;height:30%"></div>
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</div>
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<div style="display:flex;justify-content:space-between;font-size:8px;color:var(--d);margin-top:4px"><span>-6h</span><span>-5h</span><span>-4h</span><span>-3h</span><span>-2h</span><span>-1h</span><span>Now</span></div>
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</div>
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</div>
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</div>
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<div class="panel" id="tab-tz">
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<h3 style="font-size:12px;margin-bottom:10px">🌍 Envoi par timezone</h3>
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<div class="tz-bar">
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<div class="tz-segment" style="flex:3;background:var(--gn)" title="CET (UTC+1)">CET 🇩🇪🇫🇷🇮🇹 — 65%</div>
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<div class="tz-segment" style="flex:1;background:var(--bl)" title="GMT (UTC+0)">GMT 🇬🇧 — 15%</div>
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<div class="tz-segment" style="flex:1;background:var(--pu)" title="EET (UTC+2)">EET — 10%</div>
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<div class="tz-segment" style="flex:0.5;background:var(--og)" title="EST (UTC-5)">EST — 5%</div>
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<div class="tz-segment" style="flex:0.5;background:var(--pk)" title="Other">Other — 5%</div>
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</div>
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<table><thead><tr><th>Timezone</th><th>Leads</th><th>Best window (local)</th><th>P(open)</th><th>Envoi planifié</th></tr></thead><tbody>
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<tr><td>CET (UTC+1) 🇩🇪🇫🇷🇮🇹🇪🇸🇳🇱</td><td>550K</td><td style="color:var(--gn)">09:00-10:00 local</td><td style="color:var(--gn)">38.4%</td><td>08:00 UTC</td></tr>
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<tr><td>GMT (UTC+0) 🇬🇧🇵🇹</td><td>127K</td><td style="color:var(--gn)">09:30-10:30 local</td><td style="color:var(--gn)">36.1%</td><td>09:30 UTC</td></tr>
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<tr><td>EET (UTC+2) 🇬🇷🇫🇮🇷🇴</td><td>85K</td><td style="color:var(--gn)">10:00-11:00 local</td><td>33.5%</td><td>08:00 UTC</td></tr>
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<tr><td>EST (UTC-5) 🇺🇸</td><td>42K</td><td>14:00-15:00 local</td><td>31.2%</td><td>19:00 UTC</td></tr>
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<tr><td>Autres</td><td>43K</td><td>Varies</td><td>28.0%</td><td>Mixed</td></tr>
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</tbody></table>
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</div>
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<div class="panel" id="tab-drilldown">
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<h3 style="font-size:12px;margin-bottom:12px">📊 Drilldown — Impact du Predictive Send</h3>
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<div class="grid2">
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<div>
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<table><thead><tr><th>Métrique</th><th>Envoi standard</th><th>Predictive Send</th><th>Gain</th></tr></thead><tbody>
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<tr><td>Open Rate</td><td>25.5%</td><td style="color:var(--gn)">34.2%</td><td style="color:var(--gn)">+8.7%</td></tr>
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<tr><td>Click Rate</td><td>2.8%</td><td style="color:var(--gn)">4.6%</td><td style="color:var(--gn)">+1.8%</td></tr>
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<tr><td>Conversion Rate</td><td>0.4%</td><td style="color:var(--gn)">0.7%</td><td style="color:var(--gn)">+75%</td></tr>
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<tr><td>Unsubscribe Rate</td><td>0.8%</td><td style="color:var(--gn)">0.5%</td><td style="color:var(--gn)">-37%</td></tr>
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<tr><td>Revenue / 100K sends</td><td>€4,200</td><td style="color:var(--gn)">€7,100</td><td style="color:var(--gn)">+69%</td></tr>
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</tbody></table>
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</div>
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<div>
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<h4 style="font-size:11px;margin-bottom:8px">ROI Predictive vs Standard</h4>
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<div style="text-align:center;padding:20px;background:var(--bg);border:1px solid var(--b);border-radius:8px">
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<div style="font-size:32px;font-family:'JetBrains Mono',monospace;font-weight:700;color:var(--gn)">+69%</div>
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<div style="font-size:11px;color:var(--d);margin-top:4px">Revenue uplift avec Predictive Send</div>
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<div style="font-size:9px;color:var(--d);margin-top:8px">Basé sur 847K envois × 14 jours d'historique</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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<script>
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function showTab(id){document.querySelectorAll('.tab').forEach(t=>t.classList.remove('active'));document.querySelectorAll('.panel').forEach(p=>p.classList.remove('active'));document.getElementById('tab-'+id).classList.add('active');event.target.classList.add('active')}
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// Generate hours header
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var hh=document.getElementById('hm-hours');for(var h=0;h<24;h++)hh.innerHTML+='<div>'+String(h).padStart(2,'0')+'</div>';
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// Generate heatmap
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var days=['Lun','Mar','Mer','Jeu','Ven','Sam','Dim'];
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var hmc=document.getElementById('heatmap-container');
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days.forEach(function(d){
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var row='<div style="display:flex;align-items:center"><div style="width:30px;font-size:9px;color:var(--d)">'+d+'</div><div class="heatmap">';
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for(var h=0;h<24;h++){
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var c=p>30?'rgba(52,211,153,':p>20?'rgba(251,191,36,':p>10?'rgba(251,146,60,':'rgba(248,113,113,';
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row+='<div class="hm-cell" style="background:'+c+(.3+p/50)+')">'+Math.round(p)+'</div>';
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}
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row+='</div></div>';hmc.innerHTML+=row;
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});
|
||
setInterval(function(){document.getElementById('clock').textContent=new Date().toLocaleTimeString('fr-FR')},1000);
|
||
// === ARSENAL API INJECTION ===
|
||
async function arsenalLoad() {
|
||
try {
|
||
const r = await fetch('/api/predictive-send.php?action=windows');
|
||
const d = await r.json();
|
||
console.log('Arsenal API loaded:', d);
|
||
if (d.data) arsenalRender(d.data);
|
||
else if (d.results) arsenalRender(d.results);
|
||
else arsenalRender(d);
|
||
} catch(e) { console.error('Arsenal API error:', e); }
|
||
}
|
||
function arsenalRender(data) {
|
||
// Update any stat counters on the page
|
||
document.querySelectorAll('[data-stat]').forEach(el => {
|
||
const key = el.dataset.stat;
|
||
if (data[key] !== undefined) el.textContent = data[key];
|
||
});
|
||
// Update tables if present
|
||
const tbody = document.querySelector('tbody');
|
||
if (tbody && Array.isArray(data)) {
|
||
tbody.innerHTML = data.slice(0,50).map(row => {
|
||
const vals = Object.values(row);
|
||
return '<tr>' + vals.map(v => '<td>' + (v ?? '-') + '</td>').join('') + '</tr>';
|
||
}).join('');
|
||
}
|
||
}
|
||
arsenalLoad();
|
||
setInterval(arsenalLoad, 30000);
|
||
async function getHeatmap(){const r=await fetch('/api/predictive-send.php?action=heatmap');return r.json();}
|
||
async function getRecommend(isp){const r=await fetch('/api/predictive-send.php?action=recommend&isp='+encodeURIComponent(isp));return r.json();}
|
||
</script><script src="arsenal-common.js"></script>
|
||
|
||
</script>
|
||
|
||
|
||
</body></html>
|
||
|