www.tvrbo.com
Open in
urlscan Pro
3.233.126.24
Public Scan
Submitted URL: https://infotvrbo.com/
Effective URL: https://www.tvrbo.com/
Submission: On August 15 via api from US — Scanned from US
Effective URL: https://www.tvrbo.com/
Submission: On August 15 via api from US — Scanned from US
Form analysis 1 forms found in the DOM
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<span class="c-calculator__variable-append"> % </span>
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<div class="c-calculator__variable-inner">
<div class="c-calculator__variable-inner-row">
<label class="c-calculator__variable-title"> Monthly sessions </label>
<div class="c-calculator__variable-value">
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<span class="c-calculator__variable-append"> k </span>
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<div class="c-calculator__output-wrapper c-calculator__output-wrapper--impact">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 245 46" style="fill:none">
<path d="M23.06.768C10.73.768.732 10.764.732 23.096c0 12.33 9.997 22.327 22.328 22.327h198.88c12.332 0 22.328-9.996 22.328-22.327 0-12.332-9.996-22.328-22.327-22.328z" style="fill:url(#aba)"></path>
<path d="M23.06.768C10.73.768.732 10.764.732 23.096c0 12.33 9.997 22.327 22.328 22.327h198.88c12.332 0 22.328-9.996 22.328-22.327 0-12.332-9.996-22.328-22.327-22.328z" style="stroke:url(#bab);stroke-width:1.53553998"></path>
<defs>
<linearGradient id="aba" x1="123.52" x2="123.52" y1="-3.417" y2="45.093" gradientTransform="translate(-1.02 -.437)" gradientUnits="userSpaceOnUse">
<stop stop-color="#242424"></stop>
<stop offset="1"></stop>
</linearGradient>
<linearGradient id="bab" x1="123.52" x2="123.52" y1="-33.252" y2="34.768" gradientTransform="translate(-1.02 -.437)" gradientUnits="userSpaceOnUse">
<stop stop-color="#DB3929"></stop>
<stop offset="1" stop-color="#DB3929" stop-opacity="0"></stop>
</linearGradient>
</defs>
</svg>
<div class="c-calculator__output-title"> A/B Test Impact </div>
</div>
<ul class="c-calculator__impact">
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="5"> +5<span>%</span>
</button>
</li>
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="12" data-selected="true"> +12<span>%</span>
</button>
</li>
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="16"> +16<span>%</span>
</button>
</li>
</ul>
</div>
</div>
<div class="c-calculator__column c-calculator__column--mobile">
<div>
<div class="c-calculator__output-wrapper c-calculator__output-wrapper--impact">
<svg preserveAspectRatio="none" viewBox="0 0 264 51" xmlns="http://www.w3.org/2000/svg" style="fill:none">
<path fill="url(#abb)" d="M24.845 1.444c-13.26 0-24.01 10.75-24.01 24.01 0 13.26 10.75 24.009 24.01 24.009h213.858c13.26 0 24.01-10.75 24.01-24.01 0-13.26-10.75-24.01-24.01-24.01H24.845Z"></path>
<path stroke="url(#baa)" stroke-width="1.651" d="M24.845 1.444c-13.26 0-24.01 10.75-24.01 24.01 0 13.26 10.75 24.009 24.01 24.009h213.858c13.26 0 24.01-10.75 24.01-24.01 0-13.26-10.75-24.01-24.01-24.01H24.845Z"></path>
<defs>
<linearGradient id="abb" x1="131.774" x2="131.774" y1="-3.526" y2="48.637" gradientUnits="userSpaceOnUse">
<stop stop-color="#242424"></stop>
<stop offset="1"></stop>
</linearGradient>
<linearGradient id="baa" x1="131.774" x2="131.774" y1="-35.608" y2="37.535" gradientUnits="userSpaceOnUse">
<stop stop-color="#DB3929"></stop>
<stop offset="1" stop-color="#DB3929" stop-opacity="0"></stop>
</linearGradient>
</defs>
</svg>
<div class="c-calculator__output-title"> A/B Test Impact </div>
</div>
<ul class="c-calculator__impact">
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="5"> +5<span>%</span>
</button>
</li>
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="12" data-selected="true"> +12<span>%</span>
</button>
</li>
<li class="c-calculator__impact-item">
<button class="c-calculator__impact-item-button" data-value="16"> +16<span>%</span>
</button>
</li>
</ul>
</div>
<div class="c-calculator__output">
<div class="c-calculator__output-wrapper c-calculator__output-wrapper--ear">
<svg preserveAspectRatio="none" viewBox="0 0 264 51" xmlns="http://www.w3.org/2000/svg" style="fill:none">
<defs>
<linearGradient id="abc" x1="131.774" x2="131.774" y1="-3.526" y2="48.637" gradientUnits="userSpaceOnUse">
<stop stop-color="#242424"></stop>
<stop offset="1"></stop>
</linearGradient>
<linearGradient id="bac" x1="131.774" x2="131.774" y1="-35.608" y2="37.535" gradientUnits="userSpaceOnUse">
<stop stop-color="#DB3929"></stop>
<stop offset="1" stop-color="#DB3929" stop-opacity="0"></stop>
</linearGradient>
</defs>
<path fill="url(#abc)" d="M24.845 1.444c-13.26 0-24.01 10.75-24.01 24.01 0 13.26 10.75 24.009 24.01 24.009h213.858c13.26 0 24.01-10.75 24.01-24.01 0-13.26-10.75-24.01-24.01-24.01H24.845Z"></path>
<path stroke="url(#bac)" stroke-width="1.651" d="M24.845 1.444c-13.26 0-24.01 10.75-24.01 24.01 0 13.26 10.75 24.009 24.01 24.009h213.858c13.26 0 24.01-10.75 24.01-24.01 0-13.26-10.75-24.01-24.01-24.01H24.845Z"></path>
</svg>
<div class="c-calculator__output-title"> Extra Annual Revenue </div>
</div>
<div class="c-calculator__output-inner">
<svg preserveAspectRatio="none" viewBox="0 0 279 41" xmlns="http://www.w3.org/2000/svg">
<rect x="0.279163" y="0.40955" width="262.133" height="41.3553" transform="matrix(1 0 -0.365539 0.930796 16.136 0.873069)" fill="#0F0F0F" stroke="url(#paint0_linear_3901_3150)" stroke-width="0.88"></rect>
<defs>
<linearGradient id="paint0_linear_3901_3150" x1="123.558" y1="-21.7448" x2="114.775" y2="36.0886" gradientUnits="userSpaceOnUse">
<stop stop-color="#939393"></stop>
<stop offset="1" stop-color="#101010"></stop>
</linearGradient>
</defs>
</svg>
<p class="c-calculator__output-value display--ear">$518,400</p>
</div>
</div>
<div class="c-calculator__output">
<div class="c-calculator__output-title"> Revenue Per User </div>
<div class="c-calculator__output-inner">
<svg preserveAspectRatio="none" viewBox="0 0 279 41" xmlns="http://www.w3.org/2000/svg">
<rect x="0.279163" y="0.40955" width="262.133" height="41.3553" transform="matrix(1 0 -0.365539 0.930796 16.136 0.873069)" fill="#0F0F0F" stroke="url(#paint0_linear_3901_3150)" stroke-width="0.88"></rect>
<defs>
<linearGradient id="paint0_linear_3901_3150" x1="123.558" y1="-21.7448" x2="114.775" y2="36.0886" gradientUnits="userSpaceOnUse">
<stop stop-color="#939393"></stop>
<stop offset="1" stop-color="#101010"></stop>
</linearGradient>
</defs>
</svg>
<p class="c-calculator__output-value display--rpu">$3.60</p>
</div>
</div>
<div class="c-calculator__output">
<div class="c-calculator__output-title"> Annual Revenue </div>
<div class="c-calculator__output-inner">
<svg preserveAspectRatio="none" viewBox="0 0 279 41" xmlns="http://www.w3.org/2000/svg">
<rect x="0.279163" y="0.40955" width="262.133" height="41.3553" transform="matrix(1 0 -0.365539 0.930796 16.136 0.873069)" fill="#0F0F0F" stroke="url(#paint0_linear_3901_3150)" stroke-width="0.88"></rect>
<defs>
<linearGradient id="paint0_linear_3901_3150" x1="123.558" y1="-21.7448" x2="114.775" y2="36.0886" gradientUnits="userSpaceOnUse">
<stop stop-color="#939393"></stop>
<stop offset="1" stop-color="#101010"></stop>
</linearGradient>
</defs>
</svg>
<p class="c-calculator__output-value display--ar">$4,320,000</p>
</div>
</div>
</div>
<div class="c-calculator__column">
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" id="svg116" class="c-calculator__dial" style="fill:none" version="1.1" viewBox="0 0 519.2 519.2">
<mask id="a" width="450" height="405" x="513" y="275" maskUnits="userSpaceOnUse">
<path id="path2" d="M0 0h448.8v403.92H0z" style="fill:#d9d9d9" transform="matrix(1 0 0 -1 513.894 679.917)"></path>
</mask>
<g id="g17" style="filter:url(#e)">
<circle id="circle15" cx="738.294" cy="531.198" r="76.56" style="fill:url(#f)" transform="translate(-478.694 -264.557)"></circle>
</g>
<mask id="h" width="88" height="94" x="689" y="493" maskUnits="userSpaceOnUse">
<path id="path21" d="M689.2 493.404h87.435v93.318H689.2z" style="fill:url(#g)"></path>
</mask>
<path id="path140" d="M425.28 414.164c38.487-40.876 62.071-95.941 62.071-156.515 0-126.121-102.24-228.362-228.36-228.362-126.122 0-228.363 102.24-228.363 228.362 0 60.574 23.585 115.639 62.072 156.515z"
style="fill:url(#paint8_linear_3901_3026)"></path>
<path id="path142"
d="M425.28 414.164c38.487-40.876 62.071-95.941 62.071-156.515 0-126.121-102.24-228.362-228.36-228.362-126.122 0-228.363 102.24-228.363 228.362 0 60.574 23.585 115.639 62.072 156.515h11.706c-9.785-10.214-20.372-22.03-27.939-32.543-18.063-25.102-35.105-70.983-35.105-70.983l5.558-3.831c-3.647-15.797-5.574-32.253-5.574-49.158 0-93.53 58.996-173.28 141.804-204.067v-5.335s47.45-12.005 78.368-11.376c31.135.634 78.367 11.376 78.367 11.376v7.287c80.144 32.107 136.75 110.5 136.75 202.115 0 17.204-1.997 33.942-5.77 49.996l5.565 3.836s-17.04 45.88-35.105 70.982c-7.359 10.226-17.575 21.683-27.133 31.7z"
style="fill:url(#paint9_linear_3901_3026)"></path>
<g id="g205" style="filter:url(#filter0_dd_3901_3026)" transform="translate(-471.03 -207.065)">
<circle id="circle203" cx="729.57" cy="467.791" r="77.912" style="fill:url(#paint11_linear_3901_3026)"></circle>
</g>
<path id="path214"
d="M155.844 375.509c-4.276 0-6.962-2.888-6.962-7.724 0-4.814 2.686-7.724 6.962-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.523c3.471 0 5.262-2.014 5.262-6.201 0-4.187-1.79-6.202-5.262-6.202-3.492 0-5.283 2.015-5.283 6.202 0 4.187 1.791 6.2 5.283 6.2z"
style="fill:#fff"></path>
<path id="path216"
d="M110.413 263.285H98.524v-1.097c0-2.888 1.053-4.3 4.075-5.396l3.358-1.186c2.172-.806 2.888-1.545 2.888-3.135 0-1.97-1.365-2.91-4.209-2.91-3.246 0-4.589 1.254-4.589 3.493v.268h-1.59v-.201c0-2.665 1.836-5.06 6.224-5.06 4.03 0 5.776 1.992 5.776 4.41 0 2.306-1.432 3.605-4.074 4.5l-3.067 1.03c-2.463.873-3.157 1.859-3.157 3.963l3.358-.134h6.896zm8.581.224c-4.276 0-6.963-2.888-6.963-7.724 0-4.814 2.687-7.724 6.963-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.523c3.47 0 5.262-2.014 5.262-6.201 0-4.187-1.792-6.202-5.262-6.202-3.492 0-5.283 2.015-5.283 6.202 0 4.187 1.791 6.2 5.283 6.2z"
style="fill:#fff"></path>
<path id="path218"
d="M153.092 148.285h-1.612v-3.18h-9.605v-1.163l9.336-10.657h1.881v10.366h2.8v1.455h-2.8zm-9.023-4.634h7.411v-8.441h-.112l-7.299 8.306zm20.123 4.858c-4.276 0-6.963-2.888-6.963-7.724 0-4.814 2.687-7.724 6.963-7.724 4.254 0 6.94 2.91 6.94 7.724 0 4.836-2.686 7.724-6.94 7.724zm0-1.523c3.47 0 5.261-2.014 5.261-6.201 0-4.187-1.79-6.202-5.26-6.202-3.494 0-5.285 2.015-5.285 6.202 0 4.187 1.791 6.2 5.284 6.2z"
style="fill:#fff"></path>
<path id="path220"
d="M346.185 148.509c-4.097 0-6.627-1.433-6.627-4.3 0-1.857 1.298-3.29 3.761-3.782v-.157c-2.17-.291-3.358-1.612-3.358-3.314 0-2.306 2.127-3.895 6.224-3.895 4.12 0 6.224 1.589 6.224 3.895 0 1.702-1.187 3.023-3.358 3.314v.157c2.507.492 3.761 1.925 3.761 3.783 0 2.866-2.552 4.299-6.627 4.299zm0-8.62c3.18 0 4.634-.873 4.634-2.641 0-1.657-1.119-2.665-4.634-2.665-3.493 0-4.634 1.008-4.634 2.665 0 1.768 1.455 2.64 4.634 2.64zm0 7.097c3.56 0 5.015-.895 5.015-3.022 0-1.948-1.5-2.933-5.015-2.933-3.515 0-5.015.985-5.015 2.933 0 2.127 1.433 3.022 5.015 3.022zm14.945 1.523c-4.276 0-6.962-2.888-6.962-7.724 0-4.814 2.686-7.724 6.962-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.523c3.471 0 5.262-2.014 5.262-6.201 0-4.187-1.79-6.202-5.262-6.202-3.492 0-5.283 2.015-5.283 6.202 0 4.187 1.791 6.2 5.283 6.2z"
style="fill:#fff"></path>
<path id="path222"
d="M251.806 110.497c-4.814 0-6.896-2.283-6.896-7.858 0-4.5 2.172-7.59 6.851-7.59 3.426 0 5.933 1.769 5.933 4.79v.158h-1.724v-.157c0-1.858-1.097-3.268-4.209-3.268-3.806 0-5.194 2.015-5.194 6v1.343h.157c.515-1.68 2.574-2.933 5.552-2.933 3.672 0 5.821 1.79 5.821 4.702 0 2.933-2.284 4.813-6.29 4.813zm-.045-1.522c3.224 0 4.702-1.12 4.702-3.403 0-2.217-1.433-3.381-4.679-3.381-3.045 0-4.904 1.209-4.904 3.246 0 2.329 1.747 3.538 4.881 3.538zm15.041 1.522c-4.276 0-6.962-2.888-6.962-7.724 0-4.813 2.686-7.724 6.962-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.522c3.471 0 5.262-2.015 5.262-6.202 0-4.186-1.79-6.201-5.262-6.201-3.492 0-5.283 2.015-5.283 6.2 0 4.188 1.791 6.203 5.283 6.203z"
style="fill:#fff"></path>
<path id="path226"
d="M384.357 263.285h-1.59v-11.933h-3.537v-1.21h.784c1.656 0 2.462-.447 3.044-1.857h1.3zm9.064.224c-4.276 0-6.963-2.888-6.963-7.724 0-4.814 2.687-7.724 6.963-7.724 4.254 0 6.94 2.91 6.94 7.724 0 4.836-2.686 7.724-6.94 7.724zm0-1.523c3.47 0 5.261-2.014 5.261-6.201 0-4.187-1.79-6.202-5.26-6.202-3.494 0-5.285 2.015-5.285 6.202 0 4.187 1.791 6.2 5.284 6.2zm15.48 1.523c-4.277 0-6.963-2.888-6.963-7.724 0-4.814 2.686-7.724 6.962-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.523c3.47 0 5.261-2.014 5.261-6.201 0-4.187-1.79-6.202-5.262-6.202-3.492 0-5.283 2.015-5.283 6.202 0 4.187 1.791 6.2 5.283 6.2z"
style="fill:#fff"></path>
<path id="path228"
d="M347.163 375.285h-1.59v-11.933h-3.537v-1.21h.783c1.657 0 2.463-.447 3.045-1.857h1.3zm14.191 0h-11.889v-1.097c0-2.888 1.053-4.3 4.075-5.396l3.358-1.186c2.172-.806 2.888-1.545 2.888-3.135 0-1.97-1.365-2.91-4.209-2.91-3.246 0-4.589 1.254-4.589 3.493v.268h-1.59v-.201c0-2.665 1.836-5.06 6.224-5.06 4.03 0 5.776 1.992 5.776 4.41 0 2.306-1.433 3.605-4.074 4.5l-3.068 1.03c-2.462.873-3.156 1.859-3.156 3.963l3.358-.134h6.896zm8.581.224c-4.276 0-6.963-2.888-6.963-7.724 0-4.814 2.687-7.724 6.963-7.724 4.254 0 6.941 2.91 6.941 7.724 0 4.836-2.687 7.724-6.94 7.724zm0-1.523c3.47 0 5.261-2.014 5.261-6.201 0-4.187-1.79-6.202-5.26-6.202-3.493 0-5.285 2.015-5.285 6.202 0 4.187 1.792 6.2 5.284 6.2z"
style="fill:#fff"></path>
<path id="path147" d="M87.269 371.153c1.468 2.105 2.115 3.068 3.699 5.216l16.59-14.562c.327-.293.232-.979-.202-1.562l-.024-.003c-.45-.56-1.089-.82-1.46-.571z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path149" d="M55.784 290.253c.384 2.537.537 3.687 1.005 6.314l21.325-5.704c.423-.118.642-.775.511-1.49l-.02-.013c-.155-.701-.613-1.218-1.056-1.159z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path151" d="M57.366 212.277c-.509 2.515-.759 3.647-1.219 6.276l21.989 1.946c.437.034.868-.509.99-1.225l-.015-.02c.095-.711-.158-1.354-.595-1.45z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path153" d="M88.49 137.824c-1.553 2.044-2.27 2.955-3.827 5.122l18.955 11.314c.379.221 1.003-.081 1.424-.672l-.004-.025c.394-.599.446-1.288.094-1.564z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path155" d="M143.819 82.939c-2.197 1.326-3.2 1.908-5.448 3.346l13.436 17.515c.271.345.963.296 1.572-.099l.005-.024c.588-.412.89-1.033.666-1.419z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path157" d="M221.103 52.844c-2.538.384-3.687.538-6.314 1.006l5.706 21.324c.118.423.776.642 1.49.511l.014-.021c.701-.155 1.218-.613 1.158-1.056z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path159" d="M303.94 54.077c-2.496-.595-3.619-.883-6.231-1.434l-2.699 21.909c-.049.436.479.886 1.19 1.032l.021-.014c.708.119 1.358-.112 1.469-.545z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path161" d="M377.501 87.305c-1.977-1.636-2.857-2.39-4.957-4.038l-12.097 18.465c-.237.37.038 1.006.612 1.452l.024-.004c.583.419 1.269.5 1.559.16z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path163" d="M434.568 147.109c-1.308-2.208-1.881-3.215-3.301-5.476l-17.627 13.289c-.348.268-.304.959.085 1.572l.025.005c.406.592 1.024.899 1.413.678z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path165" d="M460.482 220.434c-.497-2.518-.702-3.659-1.287-6.263l-21.047 6.658c-.417.137-.607.804-.444 1.511l.021.013c.187.693.667 1.189 1.107 1.11z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path167" d="M462.693 306.495c.637-2.486.944-3.604 1.539-6.206l-21.861-3.068c-.435-.056-.893.464-1.052 1.173l.014.021c-.131.705.089 1.36.52 1.478z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path169" d="M431.515 376.019c1.645-1.97 2.404-2.847 4.06-4.939l-18.409-12.181c-.369-.238-1.006.034-1.454.605l.003.025c-.422.581-.505 1.266-.167 1.558z" style="fill:#fff;fill-opacity:.2"></path>
<path id="path193" d="M451.106 343.8c1.628-3.461 2.39-5.012 3.988-8.654l-31.142-10.603c-.621-.205-1.437.428-1.867 1.422l.014.034c-.388.996-.25 2.016.348 2.309z" style="fill:#fff;fill-opacity:.6"></path>
<path id="path171" d="M342.814 65.045c-3.475-1.599-5.031-2.349-8.686-3.916l-10.349 31.226c-.199.623.44 1.434 1.437 1.856l.034-.015c1 .381 2.018.234 2.307-.366z" style="fill:#fff;fill-opacity:.6"></path>
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YIIR1YRwrji5+p6/xLq9W61XttQArJ9w0AAADA6iSzuTfUn47j+EU9dd4GDCEdWCfaWAQzMzOjqp5v10bjf06e+zkDAAAAsC50fH1K3Qs63v5cqVT6YxuAieIuREgH1oHC+Y65ublAAf3N2mBs18aDy9oBAACA9dOdKM7HoKt/KgiCs9ab3X3gENKBNdKGotxsNt+uDcWOOI7/pR6HepoJ4gAAAID14zO3N9S+oPZbs7Oz57dt2zZwVXRHSAdWYXHseavVuq7dbpcVzl+vhzvUCqqkh4w9X7EFvW5+X8u62ktqbb2G07a++mJ7p9ch8M6b1qshSzGdmPLO/8bQ+kP379S6lerX1bqrwVB3CI31Xt9U6/6x/bMOBP7++2vb+7PTzU/6DvXDH9qz+PkKLMWSz5a/pn2xDljvIxb6/iDZ5qZZd9/VT+uA9cE21vk64H3aX1v7zuu5Ua/thD4LJ9WfUd/UMXjHBhQhHVihZAM5orZd7X/S44p2nD+55PuGFWvqdZtVf692RB9RO1osFu+3dZK8Z6O+fP78+VTvkPP5fMmDulreeju5VPKjxiTo+ImpkvWBKIqqyWKq9316PXPJa1u0/thP53SwVEmWU/350mta7nXd9TbNf2s3QGg9KHqzlEtOLo4ky2lfZ3PaZwdaZ4tLJntNrWR7UFkSLNOsnOwbfLLc1H++1IpJSzvfFowk73+qT4gmxy7+d/pxwUb8rd9U+3N9fh+tVCqnbIAR0oEV0AbSg3nQ6XTepA2Ejz3fq8cVw2p1K+Y6XppW/6w27o9o2e91uRGzdHbPtuqsa6oPcsbGxpqzs7N+DBmlPUQMDw8PNRqNdnIVROppvYq8LxQKqT7I0fYlzOVyQ8ldIVJfOpNQf/Nsspz2kN49IA/DMG/p1q1I+t+p1bZg6eeht3uyTicaU73O6vX0Y98hfcby/lmzlPMKqv7m4T6oojs/8TGUnKhJ9f7L/069pnmtt6n/fOnv9L+3nBwSpHpFSE58bdj+S//+43rPzoyMjMzZgOuXS6iALZeMPb9LG54dWvax534UvdewFsfUHtAG95s6CPlIq9Vq7NixY8YAAACAjKKSDlzE0suKVNm8dn5+vqyzmW/wCeL0VFE9Y89XzqvDXs3sjj3X6/eCnxVVteh5nQBpqSo7sGOLAAAAgCtBJR24iOSSnWEFx+59z9Uqeu6nk2/z2VkFvYbzeg1rtmTseaFQWLex5wAAAEC/o5IOXMDD+fnz532CqUqn07leFXMfe77PJ24xrFZNr9+8QvkJLZ/c4LHnAAAAQN+iGghcQGFym6rndyhI3qiHv2q9k1kHDGvxhDe9tp/SiY+/Yuw5AAAAsDwq6ci8Jbc08Vvz+ORwPuZ8j54fTWYo5XOycj69a6y+rr7mM3Fq+Yyq53N6XX2S7dgAAAAAvAaVdGSeQqNPDldut9vXKkz+fS3vV3tf8m0+I6uwOPZc/V/pobfHi8Xi4wYAAADgkqgQIrN87PmxY8dys7OzlUKhsD0Mwx0KlVUF9WJyL0oC+sq1kzahNqXXeCKXy813Op2+uI82AAAAsNUIIcisqamp8VKp9EYF8pv08J+oldT2GdbiVWPP52Xv3r3zBgAAAOCKUElHZiwde67qeVmPfdb2vT72PAiCnF/2nlTQceUuN/acG8kDAAAAK0AiQWYk9z0vtFqta7T831hvxvb3W+9zwGdhFRh7DgAAAKwvKukYeEk4D+fm5kbz+fxYGIY7VfGt6vmiEc5Xi7HnAAAAwAYgoGDgKZzvCYLgei2+Q/2HrXertYOGVVPl/H4F8xcYew4AAACsr8CAAeNjz72dOHFiWP02Vc936um9Cpaj1rt6hPV+5XzseaQ2pxMdZ/S6njXGngMAAADrjko6Bk5y3/NCvV6/XSHyJxQsb9FzP2iMPV81vYYzeg2bej0/ov7eOI7vK5fLxwwAAADAumJMOgbG4tjz2dnZaqFQGFOg9Ar6KGPP12Rx7Pmk2nlVzCfz+fy8esaeAwAAABuAkI6BMTc3ty0Mw2tzudw79PAX1caM+56viSroDyVjz/+g3W7fe+7cuZnDhw83DAAAAMCGIKSjby2573np/PnzJfW71PYpWHo4z3Pf81W58L7n3bHnOvkx12q1ok6nw9hzAAAAYAORYNC3FMJ9Arh8vV5/kwLlB/T4tiAIfsh66zWTw60CY88BAACArUWQAQAAAAAgJaiko+/Mz8/vz+fz+7X4DlV6f1kV33FVgPcbVm3xvudaZOw5AAAAsIWopAMAAAAAkBJU0pF6yX3Pw2azeZeW71LV93v02Gdw9/U3NKyYXsNpvZZt9f9eD59l7DkAAACQDlTSAQAAAABICSrpSC1Veve22+196n9c7f16ao/aXsOq6XX8kqrnZ1U5/3dRFD1bqVSm9LhtAAAAAFKBSjoAAAAAAClBJR2pkdz3POx0Oj5r+zv1+Hv12Fv3ecOKXTj2vFAo3OOVdAMAAACQSlTSAQAAAABICSrp2HKzs7O7VeHdrer5B1Tl/YD1xp3vM6waY88BAACA/kQlHQAAAACAlKCSjk2X3Pd8qNls/oiqu7f5vc/1+G7rjTtn7PnqTKjFjD0HAAAA+huVdAAAAAAAUoJKOjbN/Pz8/lwuN67K+S+pvUOV3sN6eqdhLf5KrdZut/8X9ROMPQcAAAD6G5V0AAAAAABSImfABknue26dTuddURRdr8UfieP4NvWjqvZWjPVvxZL7nkdq/38tTxSLxU/Ozc3VVEGfSH5kwQAAAAD0LUISNtqQAnrJesHcL233W6vljQniVsUDuvUmiDvrIV3LZ6vVas0AAAAADARCOtadguRudZVGo/EzuVzudi3fpEDp4dzDetGwYsl9z+c7nc6/0cOJkZGR59RHeo6ADgAAAAwQxqRjIwTNZjMfBMFoHMcezncqZG5TK1tvskImLFwhD+jqanoNT3r72Mc+ViOgAwAAAIOHsIQ1U2jsBm9Vzr83DMNrFMzfp8c+9nxMrWq9S9u5amMFLjf2XM/FBgAAAGDgEJywHronexQciwroowqWO7W833pjz1nHVoGx5wAAAEA2UUnHqilI7lX1vKgQ+T+ovU6Pb14ce55c2u5Yx1bG73tujD0HAAAAsokx6ViLQOHRK+VePd+rtkttu9qwMfZ8tTyMM/YcAAAAyChCFK5YMvbcms3mj3gg1+LfVYA84ME8ue85Y89XbvH+5v+rf2m32x/1nrHnAAAAQDYRqLBiPvbcehPC7VDbr8d+azXue7463RDuY8+9r1arZw0AAABAZlFJx2XNzc3tCYKgoPbfq2r+OgXKO9R2aNnDOWPPV2dx7Pn/7P3IyMgz3nNpOwAAAJBtVNJxWQqOr4w9V79HvY89HzesRTeM+7hz7wnnAAAAABwhHa+xZOz5D2p5hwLk39PDg9a7vN3HnrPerNwlx54DAAAAgCNs4VIKCug+9nynmt/33GdtZ+z56jD2HAAAAMBlEdLxipmZGa+ah6qg/y31V6l9j1fS9a0Daj7+nFv2rZBevy95H8fxv/J+eHj4PgMAAACAiyCk4xVhGBaTsefXK1zeqHaTHm8zrNpi5Vwh/f6ljwEAAABgOYR0WL1e/16/z7lC+S+o3269kF5NLnXHlVvQa3beepPC/W7y3OLY8ykDAAAAgMsgpMOCINirSq+H8rfooYf0Eb/s3bBSsU5utPXazWj5CX+iWCw+YQAAAABwhQjpGaQg6Zew+9jzv6dAuVOP36Pe73d+VfIjjD1fmbZew6/rNZyPoug3dNJjvlQqPW4AAAAAsEKE9Gwq1Ov1nELlG613W7Ub1cqGVdHr2FLnY80nfOy5gnpULpe5tRoAAACAFRsyZMbMzMw7VOWthGH4d5Ox529WH6gKvN2wEq8ae65MXtNr+kkF9Loq6C8l3+8YAAAAAKwQlfQMKRaLexQkKz723IO5+jH1XNq+cq8ae+6XtzP2HAAAAMB6IKQPsKmpqXFVeENVd39e1V4fe/5DCpbD+tbr1PuPENBX5mJjz9sGAAAAAOuAkD7AcrlcQUEyVKB8vYKljz2/SW3YsCqMPQcAAACw0QjpA6jdbn+f9wqSv6jK7w61261XNSegr0xHwXzOlhl7ntz3fMEAAAAAYB0R0geQQuQe7xXOfez5DgXNcePS9hXT68bYcwAAAACbipA+AKanp/2+51Yul3/Fe4X0D3mvcHmIseerMq1w/rDacb2Wf8rYcwAAAACbhZA+AMIwzHuvUHmb9wrmNxtWLamen1X/ImPPAQAAAGwm7pPex+bn59/ivUL6f5M89e6kv9qwFl4xP6FWU1j/lvpYOX1u6Q+ouh5bb0x6Y5nfV75faCY/F13wvU7yfHPpk/r3F5J+uX/Pf96fX9B7HV3wH4p0IqH77+l3X/WtJb8XL/MHtpLnL/xe1G63F0qlkrr2K9/L5/P+7y20Wq2OltvL/Hsdb/q97s8lT1u9Xvd/w09yRHNzc6/8gZVKZfFn/PVo2WtFyff8nvOxAQBWTNvl4Wazua/T6dygbfdPLfcjvo1NrOpqMd/PqS3o95ur+X3/D3uvv6Ph/46tXPf3fb+rfeSK9xfJ/ndB/+1X7fdW+N/3f2PZ/eMV8GOGhai3E1/V7/v/t97jWH1rFb9vi8cW+jdW9R7ad96Dhv+/2ArpdYuS3188Nlmphd6vL7SLxWK00l9uNBp+3OP/3Y6OVTor/PXuMc3s7Gz3PRwfH1/xe3Dy5Enbv39/dz3S52C17wEGDCG9j2nH272sXRul30ie2mlYT77B9B2mb/jry3wv1sZ09iK/N2+9X3zVxn4xnOv52jK/48+fX+bf89+bS3Z8vvNZugNsJY/rF+wY48XfS37nVZL/vj8fLf097ajb2sf4WPyWlpf+7Ys7wJrvBJf5E5v+O2qxdrav7GAV6iM99gDfvuD3uv+ejs1aOii68LW1sbEx///y18p3WCve4QIAuhvtUZ0svUX7gjfr4f+13I9YclJ0mf3cFf0nkm30K/u9VVjc18ytJuBZsl/U37G4X1vV71tvP7rigGbJ8YDv35OQuVKL70Fr8QT/an5f/33/21f8Hi45tvDlWVud7muYHHOs+j1MjjFW/R7quMX//1f9Hvrr78cltnILSdGktZoTHf7LCvfdz5Hf5tcA43L3vnLmzJmK9yMjIz/vvTYG3bPi+kBXDBvBT2L5Z2Qhub/8UosV49Kyvzg01F7yc9/5pe/sfDoXPL+4uOzOIalU24VVZT84Sn430vLCRX5vubPSUXI1QJzMW9B78jsVhSgpbiz+d7r7ca80LFfZ1s92fyf5uVf+jlwu58uLZ4cv/Nu7P6uz3q/ZoSrc+9/V/X/WyaiFJf8/i9V/L7688ntJ9cVDf3zhVQrf+dXXXt2QXIXQSf6fX/XaX8HVDd2DoVVc3VC3ZQ5iLnZ1g17Djg6yTWf5/YTG0t9b8CscLnF1g58YiZLqwCv0b3UPBC5xdUPblq/m+Ou0eDDM1Q1AH9D2c5e2Ue/RtuCqi/yI7wBCtWBo6c5gZRb3h6u9g8wr255V/gmL26PIVlGFTfatC6v9/eR3F5bsn1b8Jyw23+/Z6iwkVvX7yfHA0mOXFfFjgOSP6KzmPMuSfUpn8W9ZieS/6ccA0Wr2T4u/b71johWfJFhcB7y/8JjgSmnf3P039Jl9zXvgV7mofcvnSNK++yOGTCCk9xEdbHcDoT6kd3mvjcFdho20ePDiVvRZWelO6koOTJb7mSv571zs317ud5f+7IW/548v9t9b/Nnlvn+x30lC/0W/d5HfW7y6IVp6SVhyYmDxAGe5s9CLZ6e7O/Gl/ynrVS/8MrXlrpbwv3HZqxsWr6JYerIg0UpOQNQvOHGyeBA0Y8tXGpa9usHDu4dxv4xQgX3pwYef9fcQX1vuMtWkKtZRsH/V1Rf+9/qlhX4goN995ff8cj//OT8poUrAa96YsbGxV/4fAPQHbW+K+szfqsXdl9jPDCWtaBl0qf1ev1nt37+aYH2x/+5aX8O1/i1r/f21/DfX8v9+qeMoP37RsUjF50vSQ0J6RhDS+4AqZX6Zmh9cd8ee6wP8VgOyafHqhlA7q/CC712ymnORqxu61Y+kkrLiqxuSf3elVze0F5Y/irjk1Q1+HmHpr13B1Q1xMtZ0YenfcbmrG/x7y1UCFOL9+Utd3RAtPQGyeHWD9SrwrzmJ4K9TcnJhYWnlZPGqDOtdPvqq31t8LdQve7VEMgfDa65uSMZ62sJrLyVdvLqhZsv9g72fX3y9lj6v8xgdfy1bF7yXC8kJlaZdZC4If70udnWDv35LL/VccnWDr4PLVci4ugHL8ouUZmdnK15B17pxhz82AP3Gt+tTapP6HP+BPsdcCp8hhPQ+oA/l1cni+/2LPqh7DMimDbm6Ybmz3xtZkdjMqxuW+3cvdXXDpf6/lw6BWGJxkr+Ofre15N9aDOl+ZUF9mf9WJ3n+wqsbuldL9C5ueE0YXxz7uexcEItj+S68umHJVRfLzgWh7y97tYQsjq981dUN/v/pYXyZoQtxchXI3MIy4yoXkrkgarValEzGaIt/r1/d4EMull6uunh1g04I1PRavOZEx5KrGza/dIRUO336dG50dHRE6+qoH0Os4VJ2AFvHt+8+Tn9SJ8fvjS+yE8ZgIqSnjD6IQ9q5DktZ7QP+nA7Q/rb3vrNNfsYAICX80vjFqxsu3KcsXtmw7LwZq7y6wb8sV5lfWAzGy1SVF59fdrzmJSYK6iRXBMQXnPRYDOOruroh+X9c7uqGeOlVD4vL+n50wVCHrsWrG/TPzqgaP62fuUdh/x5D5o2Pjx/QKvYOrRvXLXPVEYD0607GqM/v76qf0knZ7pA9Q2YQ0tNnqFwuFwuFwrgqJ9+bPPcu/0I4B5BCqbm6YbXFwkv93uWuVNjIqxuuZJyjF1b0c6f1M6e1zzippwjp8BNFo1o3bk4mjKOKDvSneX2Ov+pz0iy9Ug3ZQEhPCX0A8+12+xZVQ0aKxeLP6cM4oue+ywAAuLTjag8kPTJMxw1+wiynEzZXqd21zJ1JAKScPrd+v/kv+ERxygRP2upuK4c+R0hPj5zOlh3M5XI71L8/2dHuNgAALkEHcpPqntO+Y8qQdT78xE/6j2u9uN44zgP6kc+j8rhv0/U5PmXIJDbeW8THnqsrzc7ODufz+Q80m80RPX6vznwP6wM5br0dLQAAF7M4vv242jfK5TKV9Iyr1+t7gyC4TevDzUkVnUvdgf7h86ec0Of3nAL6n4dhWDNkFiF96/iOs1CtVkdbrdY7tOy3SvkBJmAFAKyEV9J1QPe8FmcNmaaDej+W8Mni9uthwQD0Ew/pU/oMn9FJ128ZE8VlGiF9kz3wwAP517/+9Te12+0RHVQtjj3/HmNnCgBYmbNqp9WODw8PTxvjFjMruTpvqNlsHtSxxbsV1g8w2SzQN/zD6tvv81EU/Y6yAdtzENI32x133JHTTvSAdqI79SFcHHu+1wAAWBmvnJ/0Svpy96JH9vitWoMguFnHGKNcmQf0DQ/pXkWfzeVyX1Y2aC13G09kCyF9g+mD1p3ERa2scP7OVqvllfMf9bFialU9H3C2GwCwCqe0/3jYb8FmyDofOrdP68LVatt1fFE0AH1Bn1mfIO4bauf0OT6jx5Eh8wjpG89DerHRaPhMq+/TckX9T/s3ksvTAABYjdOqmj6sntl/M65er4+GYXijFq/WMcZ2A9A39Jn1O3P8TRzHM9Vq9YwBRkjfMMePHy/v3LlzX7vd3qUwfrcOpLyC/mY1xp4DANbCxyp6peW0Du6e0n5mwpBpuVxudxRFb9f6cK0B6Bc+TOmk2lMK6PcqIzQNSBDSN8jBgwdLqp5fow+dn9n+b633Wh8wAADWxgN60++fm8/nn1ZrGzJNxxq7tD54SN/LEDqgP/hcIvq8PqfFp8rl8r0GLEFIXyfJ2HN/Pbc1m807FdB3a/luNZ8gbswYew4AWB9ntT95KRmL7gGd8YsZpXWgrG5MxxwHdKxxSGG9woRxQOr5Nrulz+8J9X8ZRZFPAEpIwKsQ0tdP977n7XbbZ2r/0eQepT4GnbHnAID1dFb7mCfUn1JPFT3byjru2Kf+oNohAjrQF2Jlg+6l7jqx9pfDw8Nc5o7XIKSvkT5kpenp6b21Wm1XGIZ366nd2kneqb6aVM7ZYwIA1pNPFPewDu6Y1T3jms3mLnVvD4LgGq7WA/rGhD6zf63+2VKp5LfS5GoovAYhfY0U0PX5KvlsqjdZb+x5STvKfQYAwAZILnN/WAGNkJ5xKg7s0smat2udYMI4oH/4ZJ+f1GfXr4qaM2AZhPQVSi5dXxx7fofOhO2Kouhu6409H9f38wYAwPqraT/TSkL6C+Pj49OGTEqONYrJvdFv0/IOA5B2HsiPJMOVvM0bcBGE9JXzCeLy2jH6xHA/rLNgPlnL+7U8xNhzAMAGqmk/M++zuheLxReYaCjTcrVarapKus+D4yE9MACppu33nIp7D2nxKW3DnzDgEgjpV+jUqVMjo6OjO/y+5wrmd+mDtlsftLeqHzXGnQMANphC+XGf1V39aQJ6ttXr9Z3qble7Ri00jkOA1PIJPpUdvIr+gtqnlR/OGHAZhPQrVBF1r4ui6CZ92P6BWlkHSwcNAIBNkNx27ZHkcndkWC6X26njkbfYd0I6gJTSNruj3DCl/oVCofBpPdUx4DII6ReRXLoe6mz1Pp3xulnLh9Xeog/ZTn1vu/o8M6kCADaLKjHH1T0chuEpQyYtHpvMz8/vUVD3O8kcMABp5UFBH9sFnyDuL9Se12O/3VpswGUQ0i+uO/Zc7XVqP6h2i9p7kh3kEAEdALCZFM5f1L7HZ3WfMGRV99hE64LPi+MhvWQA0mzBL2+Pougv1M6XSqWWAVeAkH4BHQAV5+bmRn1iOH2YbtOO8Ho9d6u+5Ze2M+YLALDZZrQfaqpN+UFetVptGLKqomOUqwqFgs/q7gGdO8oA6XU+juNjqqA/q6Duw5SaBlwhQvoFPKArmF+rA6F36AP1i9oJjulp7nsOANgSfqmkOr9c8qVKpcJ49GzbncvlvksH/j4/TsUApNl5fU4/pf6oKuhHDFiBzIf0xcvX1ba12+1DalcppN/uO0A95wF92AAA2CJ+yzW1ozpxPGfINB2jjGlduIWJa4FU84r5rLbZPkTpIX1upwxYISrpvYCer9fr12nH9wG12/SB+iH1/jz3HQUAbCntjp7Tfule7ae4bU+GeVGh1WpdpcX3qI0bgFTSNrupYt9RtSeKxeLHC4UCE8VhxTIb0rWz8wp5WTu8PVEU3aoP1PVqr9dZr4NLqusAAGyV7oGd33Kt0+kcrVarVNIzSutAWSdpdqjfo+OUcbVhJrAFUse32ZHC+Rllii9r+cXkOT6sWLHMhvRarTaez+f360PkY89/WTs7Pyu9n50eACAl4qQ9r5PJ9x45cmTekFXbdKzik9heZxyrAGkVqbWULU6o/x2F9ZqWIwNWITMhfbE6rnC+V/1efWhu1HPX68DnFi1zVhoAkCraJ/mt1ubVz6iK2rzuuus42MuoVqs1puOU7lh0jlWA1PKx50+oPd3pdHxm944Bq5SlSrqPLw/lVu3g7lIw/x71XkX38B6y0wMApMxL2le9kMvlTu7du5cqeoYl4fwHtT7sNwCplMwf8l9UADzJnTiwVgMf0n0cl7qyz9yus1qHFNLfpMdv0Adpb1JdZ3I4AEDqaB/ls7ofUc9Y9Izye6FPT0+XVJHbqaLCAT3eZgDSpqbP5qS218eUM55WSJ81YI2yUEkfU0Dfpw/P+7SDe79PuqLn9lI5BwCkmfZZz+mg7+s6wUxFJqPm5uaqw8PDu7R4WMcttxqA1EkC+kPq78vlcl/M5/OEDKzZwIX0pDruE8Pt1Ydkd6vVulEPb1B7g9p2fYjKBHQAQIq11GLtq84qqL+kkF43ZFKhUNilytwtWgcW74vOnWeA9OhOFKfttE8U9zVts59WziBkYF0MYiW9O8ZcO7ab4jh+pz4w36vH3rpj0gnoAIA083vsal/V1IHfUZ1sflSNyYcySuvBtQro79G6cL2OaQjoQIpoW93yiT3VHtbn9D+NjIxwQhXrZmBCuj4gBXX5RqOxW2edd2tn5rO2H/KZ27nvOQCgX2if5ZPETar5WPQF4x67maN1IHzwwQcD9aM6jtmjY5rtBiBN9PFcqKn36vmLCul+BRQnVLFuBqmSPt5qtfb4uHPtzD5gvXHn+wwAgP7ymNpTURT5xHFtQ+acPHmyeMMNNwxr8Ra1d6uFBiAtFk+cflvt37fb7ZfGx8enDFhHfRvSF8eey5iq52M+c7vC+WGvnuu5ir5f1LIBANBPtO/yCvqpMAyZ1T2jxsbGqur2aF0Ytd5wPe5EA6SHX+Y+of6099pWnzdgnfVzJd13WEPNZvN7VT2/TRUHv/f53dY72xwS0AEA/UgnnB/Rgd/nmNU9u3TQf6OObb5X64FX0osGIE1eUM74oj6jXy8UCt8wYAP0XUjXDiuvztvudru9y8ee60PitybxmdsZew4A6Fd+aXvb74vu99mtVqtNQ6YsXiWoAsSojm8O6PimyoS3QGrEag3FjSl9No9oO33SgA3SdyG9VqvtyuVyPhncL6m9wwO6nt5J5RwA0M+0Tzunfdl5VVGfHR4eftKQRd070aj55Lc/rr5iANJiVs2vcPqKsshvqDFnCDZM6kP6krHno1NTU2PJbUj2JzO3+5gtLgMDAPQ9H4uufdypZEw6MmhycnKkXC77jO7eCjoGGsRb5QL9pns5i995Q5/LJ9W/YL17pMcGbJB+2Ph3L2FvNpvvUGXhVn043q8Px+3Wu+Sd2U4BAANB+7eHtX/7dqvVOmPIpGKx6BPgvlHNx6LvMABp4CE90ufy/iiKfk0nU/2qp4YBGyi1s4U+8MADeR2sDDcajava7baHct9hXaPnfKfVnTTOAADof4v3Qp/Tgd9pZnXPLr33Ppv7QbVRA5AWHsiPKZy/5POFlEqleQM2WGor6XfccccOVc/98vZf9LHneupatd0GAMDg0a5u4REdAH5uZmZmwpBJSQX9g2p7DUAq6HP5lLo/9ztvjI6OPmXAJkhNSF8y9rxar9dHO53OdXrugD4YPnO7n1EuGQAAg6eh/VzdK+ja9zX37NnTMWSK3n8/xin58Y+KExU9LjIhLrDlOvocziucT2n5RW2juS0mNk2aKumLtx35Lu2gbtaBygf1wXhzcss1Jk4BAAyqY9rfndKB4IuVSoWDwAxqNBpeOT+kEHCLjnuuJ6ADqTCp9pxyyZcKhcIfWzKBHLAZtjz8+tlidUGr1bpaO6VhLd+iA5Vr9YFYHHue2nHzAACsld8XXd2ppEcGRVE0qoB+MLlyEMDW6k4Ul2yTn1Q+OWbfmTsE2BRpqFD72POy+n+sD8NNajcooDP2HACQFQ+rfbXdblNFzygd9/h90X0s+o0GYKu1kvYN5ZJf07Z5tlgscrs1bKotC+la6f0e51ar1fZr51RW8/FYXlXntmoAgCxYvPeuHwzW4jhuGzJF7333isFGo+HHP341Yd4AbLW62rROnM1pu9ypVCqRAZts00P64gRxrVbr3T4xXBiGv2y9W6t5SCegAwCywsN5J5fLfSufz3+mXC7XDZkyMzMzrgrddoUBv9Xs9xu3lwXS4IvKJR9XOzI8PPyiAVtg00K6VvTuf2t+fn7nUG9GlB0+7lyL3PMcAJBFbZ/VPamkcyllBukETTEZj+6VdI6FgK3lVzP5dnk+GY/eMmCLbFpIr9Vqu/ySdu2Q/oke3qhw/iZ9AMYNAIAM0n7wEbXntW/02d3nDZmjcP4mdT/slfQlt6IFsDWeVXtSn8VPqIL+ZwZsoQ2fOd3Hnifjz/er91bSzoh7ngMAMk37wpaPeUwq6cgQD+Q+Hl3vv98PvZLc6QbA1ljQ57CTVNAn1GoGbLENq6QvnhFuNpvvUrdfZ4v/gfpr1Ib1PcaeAwAyLY7jB9R9Loqi44as8VDuBQuvoH9IfcEAbInkZOlcEASfUG75zWq1SkjHllv3kL449lx2zM/PDymc70jueT7EpVwAAFjHvyQV9IbPHmzIlKmpqWKpVKouGYvO8RGwNRa8cq6gfs4r6doe+/wg3A8dW27dQ3qtVtutFT2nYP6ruVzuRq3wd6ptMwAA4KbVWto3PlIul79qHBBmjgL6rTpO+m6tAz6r+4gB2AqLt8H8rLo/VHtufHx8yoAUWLeQfvbs2e59z/P5/P5Op+MhvaSTUYw9BwDg1XySuJaqqF5J97GQhPSMWLyi0O+Lrve9ylh0YEs19TlsegVd2+O68gtXNSE11i2kj46O/rBCeVXtnymgb1fvZ4bD3t3WAACA0wHhN7RvPK7jwePFYpGAni1+UBTkcrnboyj6BS2PGYAtoe3wQ9oe36v+MyoyfsWAFFl1SF9y3/MdyWO//3nFejPGb/is8QAA9Kk5ZnXPrLz1Jo3z5sdRHC8Bmy9Si72Crm3xlAqLDQNSZi2V9B31ej0XhuH/oRXcg/pdamUDAAAXpf3m13Rw+MDIyMhLhkxptVrXqbtVzcei7zcAW2FC7azaJwqFwu9YMpknkCYrDulnzpzxarlPEHdAXRgEgQdzwjkAAJfgYx+9136z1el02tar5iBD/L7oURSNah1gLDqw+RaHF9V0ovScTpjOJ88x7Aips+KQPjY29oNxHFe0o/nnWsG3W288FZdrAQBwCdpnvqhuTvvQp0ul0tOGzFFA9wr6L2odOMicPcCm89ur+cnRTymg/16r1TqlSnrTgBQiXAMAAAAAkBKXraTPzs7uDoLAL2v/333suSoB369+2L/HWWAAAK7YX6s91+l0ThsypdFoXKvq+S4dN71dD99uALbCF9Q+5/OC5PP5hwxIMSrpAAAAAACkxEUr6bVa7We8VwX9X6h6vkNnf8eNUA8AwEr5GMiFKIr+RtXUb1QqlSlDpuhY6j06lrrbejO7A9hcR9WO6TP4x6VS6Q+MieLQBwjdAAAAAACkxCuVdB977n0+n//N5KmfWPweY88BAFgdVW/u0350IpfLPVcsFs8YMmNmZmaH3veRKIru0jrgx1UUR4DNU1NraRv8p2q/WS6Xz+tzGBvQB9hZAAAAAACQErlms/khX9AZpt9InttpAABgXQRB8Fl1TxQKBWZ1zxhV0X9A7/+dOsa6za7gjjoA1tUfxHH8FbVHK5XKcQP6CJV0AAAAAABS4rKDzXX2t+A/Nz09XR5ah8Hp+Xze/51QLXcl//3L0RnqYf1bheThWv69oU6nE/qfqH+vZGukf8NPgBSTvmDrQGcCq8nims7GL3kfR5O/b62676X+vpKtQ6VAf1NenbdwPf69ZB32v83/v9f0/5u8Xt6qtj6664b+xhFbB8m6212PbR0+X1Je3AbYGv69ZJ3rfiaSBmTBnFonDMOfUEX1G1puMR4yG7Td7O4Pm83mv1HvVywO2zodCwC4NH3+vqnueW13f0u54ysG9CEq6QAAAAAApMRlq5Q6699KFpu2Prg/LIBLqtVqB4MgeKO2P2/VGfGfUfOrPnYb0F/uUXs5iqITquY0DJnRaDTeoW3WzWpv0PZr3ABshnNq82EY/qa2uZ+w3uzuQF+ikg4AAAAAQEpwA3QAqaUKlJ9IzKmyflsul/shPX6dHv+s9cbdlw1It/9B6+xD9Xr9ke3bt583DDy93935O1qt1q9r2e+LvsfWbw4TAMtb8DY0NPR/xHH82SiKnqpUKqcM6GNU0gEAAAAASAnu2QkgtXwmbFWj2mfOnHlibGzsuXw+X5T/2Ol0rtO3fzoMw936/tsWf9yAdPAKTkvr5sOlUul+tY4hE+bn5/2qn71afL3aIaMYAmyGL6gdURX9r0+dOnXvoUOH2Oai7xHSAaSagrpfxuaTbjUUeor1ev2knvNL3ef1eN6A9PHbrHW0fvrEq81kHUYGFAqFnN73Yd9WGcdYwKbQNrapz9yMQvr84cOHmaQTA4EdCIC+4Tvie+65x6uUp+6+++7Hm83muJ67Q4+v81ng1VfUXmfAFtI6+UWtjyfL5fIEAT1bFBLu1nt+txavNQAbStvZE+rO6zP3J8Vi8bNanjNgQBDSAfSVd73rXYuXsZ3TDrrTaDROa7mqnXRbfduAreeXus9r3WR9zBiF9GIQBKNaLBqAjRYlt4r2q+qm1bjMHQODkA6gb2nnPH306NFvHjp06F49/Ot6vb5fz71Hy4fV+8zKvo0bMWBzdKvmCmpfVFD79tzc3KQhE3RS5kCr1RpXf4e2PW9Xz/EVsHH8BGik7ezvq31en70jhUKhzZVLGCTsRAD0NR9/ltz26GXr5vahCfWjei72iecM2GQ6aOxW0rdv394yZEWo7U3Bx6KrlQzARurecs23szopek4hvTYyMkJAx0AhpAPoe372XKJyuXxcDz8yMzOTD8PwD/P5/GE9/pBaRd9/b/LjzLaMjfKU1sX5KIqe17r4gvUmkEMGNBqNu7XNeYsxFh3YcNrOflLdI+q/oP38s6qiRwYMGEI6gIGw5DK3WQXy/Ozs7IlOp1PQgbM/9u8bsJG0jvmM7s1cLtfyZUNmaDvjVXTGogObQNXzhg930+J8Mh8NMHAI6QAGju+0dcDs44G9Pa9WUHXzj9R2aPlX1PyS1FsNWEdap76o7qjWM8aiZ8T09PQ2VfLKes/fEQTBj+mpYQOwUZ5SO6PP2p+pev55LTcNGFCEdAADacl49AmFp4LOvL+s1tLOnZ06NkorGSPJWPSM0PYk0LbGj6X8xJ9PUslxFbBx/Aoln4fGZ3OfZaI4DDJ2JgAGnt+iRTv1x1Xxslqt9sEwDEcUpN6r57ep/X39SKi2w4DV8VC+oHXpK8Vi8X7r3QoIGaBtyTv1vr9B7QY9zBuAjeDD1jr6nP1+p9P57MjIyEkCOgYdIR1AJiT3UvVLkl8+d+5cRc7pOZ9shglnsB4WfFZ39TXr3R4IGaBtSFGt6rO6DzHxBbBR/Mq4OIoiH4N+znrbWWCgEdIBZEpy9t3Pyv+5+qDZbP61wtW4Kuu/qO/5rdt+IvlRqmK4Ilpn7vNJjLQuvZzL5WYsuV86BpeHcnU5vefvUP/jflWOAdgQ+nz9hvbTz6t9rVAonDHunIEMIKQDyCS/VZYOtINisXhCD+d1sD2joG5cQoeVSiYqrOXz+daSuRAw2IaS5mG9qlYwABulpm3sRFJJ5+o3ZAIhHUCWeSCvJ/1v6ix9WUH9y8n3/pF/0QHBWw24tAfCMHy63W5PGTJB7/UtCg3Xqt2gbUTFevNaAFhH+mzd53dq0X75S6VS6Uk9dd6AjCCkA8ispGruZ+V9ptjn/P7qqqgvjifmNlq4IlqP/CDytKo8zOqeEXqvt+t936sTeyVtNziWAjaAB3R9zk61Wq2z5XL5nAEZwo4FABIf+9jH4g996EMv+rIOCv7f3it8fc17HSj8g+THDhhg3XXCx59HOpB8rFgs3qc2Yxhoeq+7l7nX6/Xb1f+oV9OZLw5YX35puz5XTZ0E+xM9fLRarb5kQMYQ0gEg8VM/9VNeVa8nDx/1L6qsX+u9DhoaBiyhEzhtHx+pdcPDuV/q3jEMum4iD8Nwp953P2FXNADrygO6ukYURcdLpdIR+85+GcgMQjoAXEKhUPiq941G48Pe6+Dh55Nv/VzSc5CeUVoX7vWArmqPX4bZYdLBwddqtW7R+z2m8HCzekI6sL584s0FbUs/opOgz6g9bb3brTEhJzKHkA4Al5Dck9Ur6fd7r4P0dyaPOWjIOK0bp613O78WAT0bPKArOOxUP6KHZQOwnrrbUW1TX1B7UifH50ZGRpjNHZlESAeAK+OX33ll/SPeK6z7GX6/5Pm/814h7W5Dpug9/6rCmt8bnUkGM0Kf97vU3ax2rQFYb5/zieL8KqVisXikXC7XDMgoQjoAXIEl97/uTixXq9UWn/8pQyYpoJ/2Wd21yKzuGaHq3m51B43L3IF1p8/XaTXfx07qhDgTcSLTCOkAsAqnT58+4/3+/fv/hfcK691Z4BXafl4HGTv0eL8e5g2D6IRau9PpPKtqz0ljUqOBp5NyB3VSpqzP9uvVv0l9xQCsCw/m2mfW9Nn6y+RuGacMyDhCOgCswuHDhxdne3/Cv9Trda+weVifVysZBtm8WjuKojm913OGgecBXa2i93xMIWLcAKwbD+j6XM3qJPfJcrn8gnGnDICQDgDrodFoPOS9KgDd+6vroOPH1Kpa/ICaH9QPqwWGvudXTahNqbo6b8gEBYi71A7rfd9lANaLz/US67P1BwroT+gk2PPGnTKALkI6AKyDbdu2TXufzAI/pNDuk0tV9dgPOKgKDBAfh+4h3ZAZqqJ7OD+oz3NR770BWBc+10usz9cxfa6eHB4eniegAz2EdABYX90J5nQw/1k1P7h/Rg8DHXj8jB5v0/I71Hw8K1X1/tN9b/Vefl0VnxM6McOl7gNuYmJiNC/67L5VD+/Ue8+l7sA60efq49pH+kRxDxWLxeOW3EUFACEdANbVkiqATy5m58+fr+u5oFQqfZ8OSDgAGQA6qDyTzOqOAecBPQzDgha3q/m8E0wGCawT7RtPaFv6nNq0QjoTcAJLENIBYAMdP358bmRkJDhw4MAf60CkrPaMDkx8Eqqf1LfLWr7a2Bb3C78qoqPcdk7N740eGwZaoVB4i9+twXrzSvA5BdbH42ot7f++0mq1nqxWq7MG4FXY4QDABrrtttsW76H9Lf8yNzfnByN+j+W3WK865/dcZlvcBxTWzuqgsj4/Pz9XqVSo+mSATqbtj6LosBbHjCEqwLrQtvSUz+iuxedGR0efMQCvwYEhAGyidrv9Yig6+P/XXlHXUz+kAxaf+f37k/GuPl49NKSO3p/79V7NdDqdlmGg6X3uXtbeaDTeqvf9Nr9Tg88xAWD19Dnyk9Q+m/ufxHE8qX7CACyLkA4Am2jJLPD3eF+v10d04FJRaL/ZZ47WUx7cCekppIPK43qvzo2NjRHSB59XzX3CxwPqb9Rns2oA1iSZlyXStvRbWj45MjIyaQCWRUgHgC2wOMGcDlS+qa7QbDbPKahvj6Lo3Xq8Q8tvS4IBgX3rNfyL3rNH9L68fOTIEW6pN+Da7fYb9Fms+q3X9Dnk6hZgbRYvQ/lTfZ78rhinFdDPf+xjH2NeD+AiCOkAsIUU/Pz2M90xeupyqjCMqr9a/U1eYbfewQ03Zt5aHsoXSqWSz9j/0nXXXUclfcDp87dH3b7ktoklA7BmOun1bX22zkyLQnrDAFwUIR0A0sEPWPwS20+rgjeez+ef8lml1X5Ez/ns0tcYYWFL6D14VCdMmvV6fb5cLnMbvQGm97p7QqzRaLxd77lf5j6q3gCsydf0WWq12+1v6/N0dv/+/ZzoBC6DkA4AKaADl8VLqJ/1LwqEZ1V18Anl/BZt1+n7XtUjpG8BvfYvq811Op3GkvcJA0yfvYP6vN2i93vUAKyJPkfH1M3qBPSLo6OjTBYHXAFCOgCk0Pnz588Wi8X8yMjIf4jjeLvad+tAx2/Z5rPBb1eIGFPPNnwT6HW/T21KVSCqPwNuZmbm2jAMy2qv03u+X0/lDcBqnVHzced/4TO5V6tVbl0JXCEO8AAghfbu3TufLD7gX1RZrys07NSBzq3qi8lkVmzDN4GqPz6r++nt27cT0gdcuVze5ifFrDfEZNwArIVPEtcpFAoPq39ZjZAOXCEO8ACgD5RKpSeV04dVQf//KjDuUJD4/qSy/nq1q6y3PQ8M60av77ROhkRqz/jtgqw3gRwGmD5X36XP2NXJBI4AViey7hQPC3+oNjM7O3teVXROcgIrQEgHgD7g9+f2Xgc8p9UFjUajpOXXaflAclluYIT0daXX16s+Hb2+Z1RhPaWe2wUNvoMK6H61yqjefwOwKv7hWdBn6UH1L58+fXp2dHSUk5zAChDSAaC/tK13S7Z7oigaU9XvaQWK3QoUb9dz16td7ZfFG9bDAx7UdaDZJKAPNr3Pu2q1Wl7v9c16r2/TU2UDsFqf8W1nGIZPt1qtc9dddx0BHVghQjoA9JElYfGof5mZmXkpn8+PKKyXdVBU1FM7k4a1O652fmRkhNuuDbhGozGSy+X8bgp+wsuvTOG+a8AqaT/1lA8XKhQKp0ql0nkDsGKEdADoY7Ozs7Xh4eFOpVL5arvdPuoHR3r6oPrXK2wcUHivcuu2VXtSr9/Z06dPtw0DTZ8Xv93aXsaiA2vSnbsjiqJv+hCtY8eOcYITWCVCOgD0sQMHDtTUefuqP242m495JVAHSD+jhwUt+y2kCOmroNfOq0En9uzZw4RHg+8WBfQb1I8ZVXRgVXx7qe2mB/NvqoJ+6vDhw5EBWBVCOgAMkEKhcKbRaPjt2j6hh9/SAdObtHxQyzeq7bHefZ9Dw0X55Hx6zTqqop/R63nWejMVYwAdPXq0pPc40Hvu8zm8Qe/5CBPGASvmJzL9g/MZtWntg+bK5TLzeABrQEgHgAGicOmh8qyCxgvqA1XW363+Zr/kXd/zKqHPAE9IvwS/J7pXg4rF4tnFWfUxmMbGxoq5XM5PXF2v9/oNybwOAFamG9KjKPprfY5Obtu2bV49Z7uANSCkA8Bg8iqGHyQ9G4bhlA6e5hVAvuJBxCvrWt6r73nj0t4LxHH8pF6jWesdeGKAVSqVG/V+b9fiuPWOifg8ACv3Re1Tan6rSi1PWW//A2ANCOkAMICSKkY3pHvTAdQTtVptWIH9J/X4zWpvsl5I958hmCyh1+gJvV6TRkgfeHqfb9Rn5Wr1HtLzBmA1vqg2cfbs2dO7d++eMwBrRkgHgGxoDg8PR/V6/T6FUL+12JMKJg9a797qfqlvVX3Vsq079jyKIr/3/Oljx44xq/uA0rrvwz6GGo2G3xf9Vj0eVW8AVuQJ/6LPz8Pabp7btWsXJzaBdUJIB4AMUABpJIv3+RdV1X0yOb9V2w+rH0lmhM96SO8OEcjlck8rvL106NAhDjgHl8/LMBQEwU1a99/Cug+sSjekl0qlh5P5UACsE0I6AGSQKuoz5XL5JetdpnhCB1h++ymvql+TtLxl7/Lfo2rtOI5n/f7z1WqViY8G1Nzc3I0K6IUwDHdq3a8oqDOZInCF9JmZ8V7byv/q/dmzZ+sGYF0R0gEgg3bs2OEHWTMKJyfUf6ndbr8piqLbtfwDOgDzserDlr2Q7jPi1/RazCb3n8eAKhQKNyhgVLS4S58BqujACugz4xNrWqvV+qT3u3btYnsJrDNCOgBkmE8w5/eFVjB9OZ/P+7JP+uOXMHYr6woyB/Qz+603udygD9r1Wd2nK5UKl7kPOK3Xt2td36H3e9QAXKnFq4v+0r/MzMx0K+ijo6NcdQSsM0I6AGRcMhP8y94UXJ5UX1KF5F1aflcQBHcmt2vrTrRlg+0ptTPGrO5Z8Gat2/vUE9KBlfu4f7nqqqu4zB3YIIR0AMBSHTWfZM7DekMB/Yh6nwXeK+s36HFFoX6nDZbFA83nrHeyglndB5RPmKj1N6eAvjc5+VQwAFdEn5l7k8XnDMCGIqQDAF6hAOMh3ZtXlZ+anZ19sFAo7NbBmc8CX0jCzUCFdP3/dEN6qVTyA0+fTK9jGEi5XO5gFEUlv5uBHu41AFdM+4duSNe28nkDsKEI6QCAi6pUKnWZUjh/TAdogcLNAT19SsvbtXyt9W5lVbL+5rO6+4z3zXK5HBkGlgL6tVp3x9SKPhcDgMvTZ2UqWXzQAGwKQjoA4KIUZnwWX28+C/ynFWQPK7C/Rct3qv20Dt5G9DN9HdL199/vfbvdridXEmBw3aXmV4YUDcAV0XbRt/9WLBY/ZgA2BSEdAHDFSqXSnMLs0eS+0n75uweeW603AddB600wF1h/8XH3Vq1WmTBuQPnJpMnJydDvVOC3GNTjrN1eEFiN7pVF2s5/aeljABtv0GfqBQBsAIUcP8lbUGX9DQo971XzoP6D1rv8va8m44rj+Lu9L5fL39L/R9MwcLSeHvIJ47T4BTUfstFvJ5KArdDdHuqz81bvVUl/xABsCirpAIDViNU6qrCc0wHct6IomlLvs8LvVO+zwA+nfRZ4/X3nvdf/w5nkKapEg+saraOVMAx9aAYFCuAK+Lbde312Jg3ApiKkAwBWTAdvHtL98nC/VPzIxMTE6MjIyMdVlX6LvvfTalfp+VSHdJ1I6IbzZFZ3DLbvVUDfbr1JDgnpwBXQNvIvvB8eHn7JAGwqQjoAYM22b9/enpubm1EQOqaHX1BYv0oV6gkd5G1XYL9Oz/kY4GFLlyOGgZaMPR9qtVpXq9+jx9wXHbi8l/2LtuePGYAtQUgHAKyZgrjfa9ybV6e/UavVfNzv6xXU36pg9LPJ5e+pCun6e75uGHRltUAnjd6u99snNiSkA5f3lH/J5XJ/bQC2BCEdALDu/HZmqsKc8Pur6+HH1ft91d/o96jW40PWm7grtK2xeINsLnMfcF5B91sEqnlYZ0Z34NK6E8VpW/2V5PGCAdgShHQAwLobGxvziYYmdbD3uPpPNhqNgwpKP2m9gP7z1gvoZdtCqq5+wzDQ9B5/l9a7Ua2Ho+q5NzpwCfqc1JL+97zXZ4aQDmwRQjoAYCP5QV6siub08PDwo51Ox8c6VnQQuEPV9ZvUV3QguNs2dzKvU/7F7/luGEhar7rrk04OXaNuFwEduDx9TronLrVtnDcAW4qQDgDYMEklpqPmlfXP+MRdtVrt83r+WrW/r+f2qP2A9cL8ZgX1Z5K/7ZxhUPlwiiGdCHqn1jnGogNXQNvEP0h6brkGbDFCOgBgM0WqqNdU4TyhA8Ev6/GOOI7b6n0W+OvVe8WzYhuLWd0HXL1e36+A7sF8TCF9RMuBegPwGn4rze4t1qIoOmoAUoGQDgDYNArikbrzSfvdycnJsVKp9OUkoP+/rBfQr7cNpLDGrO4DTpncJykc1nu9W/0OAjpwUW19Pr7pCzqBep8BSAVCOgBgy2zbtq3TarXO6yDRx4k/qDZuvUvfS2r7kh9br1m5/QSBTyZ21jDQFNJ36n32qzOKBHRgefp8NPT58FtnPmsAUmUzJ+oBAGBZyURfQ8llyu/V8mG1D+v5UAeS22x9+MGoFYvFvd7r350xDKRGo/HnWnf26T2+3XpDKAC8ms8V4sOOThYKhR/xJ7Q8bQBSgUo6AGDL+QRzXvGMoqipkH6yN4R44V7r3art9cmP7V/8cVudxYniOoaBpHVmeHJy0o9tRpMWGoAL+eUlvo19Sv0JY5sIpA4hHQCQCslM8H4p+iceeOCB/PXXX/8xVXjG9fw/1sFkVf3ftl5AX1Xw0r/xteS/UzMMpFqtdmO5XPbK+S16n/cZgAt1b4updkbt1+M4buizwu0ogZQhpAMAUueOO+6IVRHt5PP5jsL1s2EY+oRyPmbdS+43JD82vpJ/UweipwwDTeuJ3xPdK+iMRQcu7rjPAxJF0bSHdAOQOoR0AEDqJLPAzyTt3/n91dvt9qd0UOmTgf1ztZKee5utzGcNg+59Ch0e1EsGYDkz2nb+F7WpSqXysAFIJUI6AKAvqKo+a72Z3h9SECspiFX9eR1sXpv8yMUmCPP7APuM35OGgfTYY48Vbr311qFGo+GTDHpIz1FJB15jTp+LuTAMj3pINwCpxezuAIC+kswEP9JqtX7MZ35XYP+n1hunvvciv9K9zL1YLF7lvX6HSZIGzPz8/H4P5joR8yU9PGi99YFjHOA7/GTlE9p+vlwqld6v5QV9ZtoGIJWopAMA+koyE/yCwvkZhbK2Ht+np0M99cbkR163+KPJz59OHlNaHVC5XG6n1oWRKIr8MvchI6ADS/nwoUjbwif0OXnZktndDUBqEdIBAH1HB5vz6j6vYB6o/4zaWKPR+O+S7/3j5McK/kU/8zfJ85FhIOmEzXv1Pvul7sPGbdeApTyMexX9pNqv6bPSpoIOpB8hHQDQ76KkPZ88vi/pb/YvYRgyq/uAUjDvBvJms7lDy3sUPgoG4FX02fBt40n1NYX0lgFIPUI6AKBvKZT5/X7rSfs9f04V9S8m3/73/kUHpp8zDKqyf9F7/B6tCz4WnZAOvNqkPhu/FQTBTKFQOGYA+gIhHQAwUBTYuhPD6aD0dPKYytHgqvgXhRAf9hAYgKW6JzC1DZz1ZgD6BhOrAACAvtRoNP6R9wog/0JBfbsBWOQB/Us+caYq6H/Pn/BJNw1AX6CSDgAA+kpyGz4P6aMG4EI+DChWKD+nz8o5wjnQf6ikAwCAvpLM6u8Txj2dPHXIKDwALtLnY1rB/EQURT8Ux3FUrVbPGIC+wg4NAAD0m+Gk5zgGeK0JBfWJ4eFhn5+DW08CfYidGwAA6CutVuv7k8VDBmCpiSAI/ie/3Zqq6WcNQF8ipAMAgL4Sx3F3LLpCiAHofhaa6vxOFj6Tey0Mw3kD0LcI6QAAoK8okHzYALxCwXxS3V/5ZHGlUumvDUBfI6QDAIC+oCBS8L7VapWSxwZkXJy0eQX0ySAIJg1A3+M6MQAA0BcUzm/3Po7jbxkA5/dDf1kB/f5CofBL1rv1Ws0A9DUq6QAAoC9EUcRYdKBn8TKSmt8LXf188hyXlwADgJAOAAD6QhAE3bHoXOYOdMX6LBxV+xV9Ns7r5BWTxQEDgpAOAABSTSEk9L7ZbI4YANdQ89uszcVx3NRnpGMABgYhHQAApFqtVtvtfRiGP2YA3GkF8z9Qf3RkZIQ5GoABExgAAAAAAEgFKukAACDVgiD4h8liwYBsm1EF/Un13y6VSv8fY6I4YCBRSQcAAAAAICW4hwkAAEglVQzL3jebzReTp3YakE2RWkOfiQeGhoZ+uVgs+qRxJwzAQKKSDgAAAABASjAmHQAApFKj0fg571UxpIKOrDuiKvq/0WfhZKlUetYADDQq6QAAAAAApARj0gEAQKqoYtg9Pmk2m48lT91iQDadU/u6KuiPFovFf2YAMoFKOgAAAAAAKcGYdAAAkCqqoL8nWaSCjqxqqU2q3d9ut3+pUqm0DEBmUEkHAAAAACAlqKQDAIC0+R8NyKaFpH9K7Z/GcTxRrVbPGoBMoZIOAAAAAEBKUEkHAABbbmFhId9qta5Plt9jQAYNDQ09rfX/Hi0+UyqVPmUAMolKOgAAAAAAKUElHQAApMGoqogf9oXF+6QDGTKr9f6M+i8Ui8X/XX1kADKLkA4AAFIhjuNRA7Ip1kmqttqclqeMkA5kGpe7AwCALfPRj340PH/+/Pb5+fkDqiR+wJsB2RGrtdXuVfsVtf+sVrfefdIBZBSVdAAAsKVUPQwKhUKgSvqIAdnjt12rBUFwLoqimj4PCwYg0wjpAABgy7z73e+uKqD/rMLJNoWTkgHZ4vdD/yut+w/k8/lH1bjMHQAhHQAAbC0FlKqqiBVV0pkwDpmidb+hbnphYcEr6FziDqCLkA4AADZdMoO7H4dsazabf0ePQwMyQuv7hE5MPa8TU3/TarV+c3R0tG4AkCCkAwCArTLUaDSGvJKuZUI6MkPrfEdBvanFeQX089Yblw4AXYR0AACw6c6ePTsyNjb2gworO/VwtwHZ4DO5+5mpr3U6nV9Xf0aNcegAXoWQDgAAtoTP5q6A4jO6U0VHVnjFfEHr/rzP5l4qlWoGABcgpAMAgE03MjIyqoD+YbXCwgJX+iIbtK4/ovZHCuiPF4vFl6x3n3QAeJXAAAAAtsaoAsuoAdlR14mpyVar5bO5d9QI6QBeg0o6AADYNArlpXa7/Sb1e9VuNSADtK6fVCB/SO2LqqD/36VSidutAbgoQjoAANhUURSVPKwHQVAwIAOSe6D7+HOvoM8bAFwCIR0AAGymokLKB9VvM2Dw+W3WZtQejOP4X2vdf9kA4DII6QAAYNPMzc0V8/n8QYWVYQMGn99eraWAfrrdbj9Tr9ebBgCXQUgHAAAbbmFhIVBA2ad+nx5+lxqXumOQdW9ZoPX9SZ2Q+k86MfX4E088MXvHHXdwT3QAl8Xs7gAAYMM9+OCDYRAEZTW/L/pONWZ1x8BTQD+roP6UV9LvvPPONrO5A7gSVNIBAMCGUwWxoEr6Tyqke0CnSICBpjD+hIL5E+q/1mw2vzU2NlY3ALhChHQAALAZigroB/y+6AouBgy4Ga3nLymonxkfH58yAFgBQjoAANgwCuWeyEdUTfTZ3H9YwaVowIDS+j6ldXxa4fwLOin1R+Vy+ZwBwAoR0gEAwEbykJ4rFotlBfW9xqXuGGxttXkF9dOFQuGo9WZ3B4AVIaQDAICNVGi1Wj+qCuMeLZetF9qBQeNhPFb1/B71f6H2uFrLklneAWAlOJsNAAA2zNTUVNFvu6bK4g49DI1jDwwmD+Ox1vWz6p9st9tnfSZ3NUI6gBWjkg4AADaEAks4Pz9fVlD5CS2PGDCgtI5/S+v4fVEUfX54ePi5QqHQMgBYJUI6AABYd8mEcUNhGJa0fMA45sAA8wnj1B31sehq8wYAa8AOEwAAbIR8o9F4RxAEexVgdhuXuWMwvax2ymdzV/+xcrl83gBgjQjpAABgI+QV0HeqqrhNIb1kwGBqqPlt106XSqWXGIMOYD0Q0gEAwLqbmZkpynsU0McMGDx+q7WW1u97dTLqE51O5zECOoD1QkgHAADrLpfL+azutyq4FA0YPB2t3z453PNRFH11ZGSEy9wBrBtCOgAAWDcKLsPNZnNfHMf79PBan+FdQd2AQaL1+mGt19/U4jdLpdKE9SrrALAuCOkAAGA95RTQd6nfpRCzy4ABpHX7pSSkP6++ZgCwjgjpAABg3aiKvisMw/couGxXWDdgwBzXun1clfRvFgqFe8+LAcA6I6QDAIB142PQFc59LPqIAQNG6/WkuufUewX9mAHABiCkAwCANVNlsTA7O1tVf5XCyx3+mLHoGCB+SXtNJ6DuzeVyf6b2nAHABgkMAABgjY4dOxYouIwomI/q4dXq9xswILQ++0zu80EQPK/1/F4tnzAA2CBU0gEAwJodOnRoZ6PR+AFVGq9ToAkNGAw+scKCPKj1+h6vpOtxXS0yANggVNIBAMCaNZvNokLMzVq8Rm0oacCgeEEB/as6EXVM63lbjVkRAWwYKukAAGDVVGH0E/75TqezV+0uhZdhAwbHY2ov+mzuURQ93W635wwANhghHQAArIVXzPMKMMMK6NcbxxYYIKqe+y3XPKg/X6lUThkAbAJ2pAAAYC22N5vNO9X7pe5eRecydwyCc2qzal9RFf0eY6I4AJuIkA4AANaioHad2qFkGRgEcwrnk2EYPl0oFB4yJooDsIkI6QAAYFUUYoZardaY+rcNDQ3tMaD/eRiP5QGt0w+12+1jCund5wwANgkhHQAArJgHdOvePnpoVO1tWi4b0P88kEdBENyv9fqTjUbjpHqq6AA2FSEdAACsRllV9NdFUXSNQsx2tbwB/e9xNZ8s7mmt32fHx8frBgCbjJAOAABWbHZ2drhYLN4YhuFhVdW3GzAAtC4/roB+rxafrlarZw0AtgAhHQAArFg+nx+N4/jtQRC8zoA+p3B+WuF8JpfLPaTl+xqNxjkDgC1CSAcAACumCno3pGtx3IA+p4B+2nq3WXtYJ6DuLxQKCwYAW4SQDgAArpiqjH6bNb83+n71h/S4ZECfUjhvqutoPb5f/f31ev346OgoAR3AliKkAwCAlSi02+19CjUHFHAOGdDfmlqXm1EU3a/+4+fFAGCLEdIBAMAVU6VxLAiC71ZAv96APqdg/rC6Z9UfqdVqcwcPHmwbAGwxQjoAALhiyVj079biHgV1A/rcQ1qP79GJp2d37949ZwCQAoR0AABwWao05qampkZardaefD5/q56qGNC/XlA4n1B7TOv2k+VymcvcAaQGIR0AAFzWsWPHcnv27BlTJX2XQo2HdMro6GcvaD1+VhX0xwqFwlMGAClCSAcAAJd16NChqqrob43j+BZVHwMjpKM/zftEcVqHH1D7Ri6XO2EAkDKEdAAAcFnNZnNU3dvUrlILDOhPcwrnsx7SVUH/jB43DABShpAOAAAuSlVHD+RhrVYbD8PQZ3TfbkD/6d773MefK6A/H8fxaT1sLz4PAGlCSAcAAJfil7UXFdA9nN+lgMOxA/pRbL1A/iUF9E93Op3nyuVy0wAghdjRAgCAS/FZ3A8HQbBf4aZgXOqO/vS0WkPr8Etal89Wq1UCOoDUIqQDAIBLqTSbzXeq90vdhw3oQwsLC/dbb0b3B1RBf94AIMUI6QAAYFkKNENzc3NjuVzOZ3TfbUCf0Xo7qfU4UntCD4+EYThtAJByhHQAAPAaHtDVDRWLxdE4jn9Ay2UD+ozW41Nqs2r3DA8Pf1tPRQYAKUdIBwAAy/FQvrPT6exTNdJvv5ZTb0Cf6Kgt+K3W1J/WiaZ5YyZ3AH2CkA4AAF6jXq/vCMPwdrVbVIXkUnf0G7+9mlfN/0rtwenp6RPVapUqOoC+QEgHAACvUS6XR1utlgf0gwb0Ga23j6qbU3+u0+nMNBqN2ACgTxDSAQDAazSbzavUvWdoaGhcQceAfqL19ktab58ulUqPa/mMAUAfIaQDAIBXKNj4vdArqjzuDIJgrx6XDOgfL6t1tN4eUf+sWssAoM8Q0gEAwFKVdrt9tfprFXRuMqC/+D3QJ3SC6evFYvExA4A+REgHAABLjSqc36KesejoJw3rzd7+LbWXCoVCzQCgTxHSAQDAKzqdjodzH4t+rQF9QieWalpn/dL2T7fb7QdURZ82AOhThHQAAOAhx2+Cnm82m8Pq/ZZr4wakX3dWwyAIXtQ6PB3H8UylUmkZ90QH0McI6QAAwJVqtdp4GIY3avn71AID+oQC+p+oe1RV9CeHh4fPGwD0MUI6AABwRQWcA6pI7hoSI6SjP5xTa/r90HWCaWJ0dLRtANDnCOkAAMAU0A8Xi8UfVz5/gx7mDegDWl+/qoB+Uv1XCoXCswYAA4Cz5AAAZJiPRVcLOp1OWQ/3a3mnAenXVKtpfT0Rx/HzOsFUNwAYEFTSAQDINj9hX1Al8jq192m5ZEDKKZyf1vrqIf2j5XL5Qevdgg0ABgIhHQCAbCs0Go09CjzbrXeZe2hAei3O2v6C2jlV0efUR8Zs7gAGCCEdAIBs8/ui362K5BsV1McMSLeO2kIYhn+g/tvFYvFZrbdNA4ABQkgHACDDWq2WX95+UEGHsejoBy9rXa0HQTDZ6XRmrVdFB4CBQkgHACCjfNI4hXQfi/5BLY/37rwGpJfWUb8f+rTW2weGh4dfNAAYQIR0AAAySKE8Nzs7O5bP5z2cD6sVDUgprZ8+9ryj9fblXC53tlAoMFEcgIFFSAcAIJt2K+i8Xv2taocMSLcnFNCbcRz/WRiGpxTaucwdwMAipAMAkEGNRqOksHNQwWeXmgEptThz+wtaT6fL5fK8MZM7gAFHSAcAIINUibxWVckPqd9vQHrV1BaiKPp3WldPanlOfWwAMMACAwAAmaFqZKDm90Mvqi8ny0Aqaf2cUjdhvfHoHQOADKCSDgBAhkxPT48ODw/vVzXyDXr4TgNSTMH836k7Vy6XH9c6O28AkAFU0gEAyJDx8fGCws5oHMeLs7lz3zWkkQfyeZ/VPQiCOQOADKGSDgBAhtTr9esUen4hDMPrFdQJ6EirL6iKXut0On9ZrVbPGgBkCJV0AAAyQIFnyMej+/3Q1Ua0XDAgfXzcuY8/n1SbMADIICrpAABkwLFjx4o7duyoqIJ+k0L6B/RUaED6nFOLVEH/V1EUnRwbGztvAJAxVNIBAMiA0dHRQj6fryqk+1j0IWMsOtLF732+oBNIHtLPFQqF2BkAZBCVdAAAMqBSqRxS976FhYXb1ZcMSCFVz39dQf10sVg8qtYwAMggKukAAAywZCz6kMKPB/OqWtGA9JlJWkPrK+EcQKZRSQcAYLD5CflQrlP4+TuqUpbVG5AmWic/pnVzplwu36N+ygAgw6ikAwAw2PLnz58f8VndrTdZHPt+pEnLmwdzwjkA9FBJBwBggM3Pz99YLBbfGMfxd+nhbqroSJmn/IvW0d9Q97L1QjsAZBpn0wEAGGBBEBQVzEfVGIuONOnO5i7nvDUajYXkOQDIPCrpAAAMMIV0n839w2rbDUiPbsVc6+eveF8oFE4ODQ21DQBAJR0AAAAAgLSgkg4AwACq1+uH1B1SdfLtyb3RgTT5p/6lWCw+agCAV6GSDgAAAABASlBJBwBgAKl6/vYgCP6W+hsNSI/P+xdV0P+tAQCWRSUdAAAAAICUoJIOAMAAOX/+/HZVKX0m97er/ZjakAFbbGFhYTLp/673Q0ND3G4NAC6CSjoAAAAAAClBJR0AgAGiKvrb1P2wKpVvVdWSk/FIhSAI/qH3Wj9PGADgkth5AwAAAACQElTSAQAYAKqal9SVWq2W3xf976kVDNhiQ0NDH/FeFfT/YgCAK0IlHQAAAACAlKCSDgDAAKjX628OguC7rTere8WArXXMvxQKhf/eAAArQiUdAAAAAICUoJIOAEAfS2ZwH2q327fHcfwLerxraIhbo2PLRN0vUfQ/Jo9nDQCwIoR0AAD6n3L5UFF9NemBLaX18FzSLxgAYEUI6QAA9LFms3mduhsUhm5Xv199oGq6AVvkt/1LuVy+3wAAq0JIBwCgjymU59UNq3kFPUdAx1bS+jfjvdbLpgEAVoWQDgBAH4vj+HYFor+jcHQtY9GxFTyQa/17xpdLpdK/NQDAmhDSAQDob0UFpFHrVdKBLaF1sJUsThsAYE0I6QAA9KG5ubm9qmDuS8aiewsN2Fw+tqKhgH5S7VeS59oGAFgTQjoAAH0oCALfhxeXNGAreFBfCMOQ2dwBYJ0Q0gEA6EMK6V49f5/amw3YGpOqoP9btdknnnjiOQMArAtCOgAAfcjvhx7H8Sj3RcdW0vo3pW72zjvv5DJ3AFgnhHQAAPqIqpbVWq1WTWZ1/yHjUndsvrrWw3vVny6VSn9ovUveAQDrJDAAANA3pqamAoXzXFJB9/uj5w3YZFr/6kEQ1LU4qzZnAIB1QyUdAIA+Ui6X36jublUy36yg5DO6c3N0bJbIerdYO6l171f9MRPFAcD6I6QDANBHkgp6VSHdewI6Nlvsrd1uT2gdjAwAsO4I6QAA9AEFIr+sPddsNm9R/6NquwzYRDpBVNN6+K/UJo8dOzbZaDSoogPABiCkAwDQH/zS9lBBaVQhaZ/6kgGbKI7juta7p7VYu+2221oGANgQhHQAAPpAu92+ReH8WgWlWxWUKsbkr9g8Hsg/FwTB2Waz+fVqtcrt1gBgAxHSAQDoA1EUbVc43+uVdGP/jU2kda6pE0Qva/Hc6OjoOQMAbCh28gAApJjCkU8ON1Sv129X/6MKTFcbsDliD+dxHE+Uy+X/U49rBgDYcIR0AAD6QBiGOxWYDqiNKqgbsAn8Fms+Dt1vu/ac9WZ2BwBsMEI6AAAp1mw2r1FA3xtF0c1BEBxQYGLfjc0Q6YTQnPpf03o3pb6uxmzuALAJ2NEDAJBiCkijcRzvVD+ih2UDNp6H8QWdEJrTuvdku91uFotF7okOAJuEkA4AQIqpgv5mBfS7tXitAZujqfbHaufq9fqT27dv7xgAYNMQ0gEASLGFhYVdage1WDRgczRURX9B6930jh07ZgwAsKkI6QAApJCH82azOa6wdKsevkmPKwZsLJ+9/QW1s4VC4SPqGwYA2HSEdAAA0qkcBEEljuMxLY8bsPE6Ohk0oxNDk1p+0ZgoDgC2BCEdAIAUqtVqb87lcm8xxqJj4/mt1ZoK6M/opJDP5n5eQZ2J4gBgixDSAQBIoXw+v5Ox6NgkXjH3UD4XhuGTWu/aBgDYMoR0AABSRAGpPD09XVRF8yY9fJvabgM21gm1z6iCfmxubu5Mu92mig4AW4iQDgBAuhSkrLC+b2ho6LCxr8bGq2t9u0/9y8zmDgBbjx0/AAApUq/Xb1ZF08ehX2W9/fSQARtAJ4Gm4zh+Tuvb48Vi8Ut6qmUAgC1HSAcAIEXCMNzvl7qrsjmmEBUYsEF87LnWsRe1vr2g/ogBAFKBkA4AQAooMIXqglardbMC07vU9huwMXxiOL8n+tNRFP2+Qvp5AwCkBiEdAIB08Kp5TuH8gAL7jVquGrAxfDb3utqUQvrXO50Os7kDQIoQ0gEASAFV0K9VRXO/QvrVelhRyxuwvjyc+1j0F9R9VCeDTkxMTMwdOnQoNgBAahDSAQBIAQX0PequVYAaV3gqGbBxalrHvhYEwcThw4cbBgBIFUI6AABbTIFpqNls3qLF79PyQQM2gNatCZ0EekjtqSiKHikWi1zmDgApREgHACAFFKCuUnjyoD5qwMZoqj0Vx/Gzw8PDJwwAkEqEdAAAtlCtVjswPz+/PQzDw3roM7qPGLC+GjoJNKn+MfUf1bo2ZwCA1CKkAwCwhRSYtgVB4OF8h9q4AesvGhoamlZAP1MqlR7wxwYASC1COgAAWyiKoltzudxb4zhmLDrWm8/m7oH8qNrveUhX3zIAQKoR0gEA2EKqoh9UQL/VGIuO9echPVY4nwvD8CtanlVFnSo6AKQcIR0AgC2g4FSdm5vzW629Tu1aI6RjnSWXuN/vs7m32+2Xh4eHmwYASD1COgAAW6BWq1ULhYLfE30xpAPrSuvWtAL6F6MoenFkZORlAwD0BUI6AABbQAH9WoWo6+M43qUg5U8NGbAOtD7Nad06p/7pIAi+pqfOGwCgbxDSAQDYAgpR1yqgv11BapcR0LGOtF7Nab16Qe2ZXC73deuNTQcA9AlCOgAAm+jo0aMlVdGDKIr8vuhvUJDaZsD68Enh2mrPKaj/pdpL+Xw+NgBAXyGkAwCwicbGxoqqbuaDIDikavob9FTegPXhId0nh3tOJ3/+QieCGuqpogNAnyGkAwCwiSqVyo2qcG7X4m7r7YdDA9aBTvqcUPdN9Q82m83z7Xa7YwCAvkNIBwBgEylA3ajq5tXq9xhVdKyvl9Q+rfbctm3bpg0A0JcI6QAAbAKF8kDdUKPRuFkh/VYt7zRgHWh9mvIquvpH1R6OomjKAAB9i5AOAMDm8Mvah4IguEmB6i0KU2PqDVirOI69av64+sdGRkYeMQBAXyOkAwCwCWZnZw+HYVhR26mAXlFALxiwNi2tS3X1z2p9+mShUHjOAAB9j5AOAMAmUAX9sJqPQ9+lQFU1YI0U0Ntal2a0+Eyz2fxUqVRqGgCg7xHSAQDYBArotyhQXa9gNWrA2ml1WnhB/d/4bO5jY2NeUY8MAND3COkAAGwChfNb1O7QIiEda7U4mcGLCuh/qRNAL2vdahgAYCAQ0gEA2EAKUT6Le67ZbO5Q7/dH577oWCu/xP24wrmPRX+5UChwuzUAGCCEdAAANlC73T4YRdG4j0lXoLragLXz+6F/ttPp3D88PPyUAQAGCiEdAIANpGB+7dDQ0B71RQPWpqX1aE79Szrp82Aul3veAAADh5AOAMAGiuP4doX027S4y4A1UECf17r0ktqDhULh/zYmigOAgURIBwBgAyhQjUxOToaqeO7Xw4NqeT1nwCr4ihOrndb69CWtR49bL6DHBgAYOIR0AAA2QL1eHx8ZGSmrkn6zKp+366nAgNXxMN5WQH9UAf13oiia0jrVMQDAQCKkAwCwARSirvUJ43K5XFHBasiAVdL6M6Xuaa1Pz2i9miqXy/MGABhYhHQAADaAwtSbwjC8TgFrtz80YPWe1/r0Z1qXnhgZGTlhAICBxqV3AACsIwUpH3te0OLVClbXqS8YsApaf2bVnQyC4AX1T2i9eskAAAOPSjoAAOvLb7Xm+9fXK1R9l/qyAaug9eesuqPq7y8Wi58rlUrMPAgAGUBIBwBgHc3NzR1SoPJgPqyWNy51x8r5pHCRwvlR9V9RRf0pNQI6AGQEIR0AgHVUKBRujeP4Ki3utV5VHViptgJ6Xf031f9es9msGQAgMwjpAACsg8UZ3Fut1jXqfCw6AR2r4mPPgyB4Wid7ntf6VJufn28aACAzCOkAAKwPn4zVg7rfE/1tarsMWAUF9G+r+5j6J8bHx6cMAJAphHQAANbHWK1WK+ZyOR+L7lV07qCClZrzpkr6mWTSOC5zB4AMIqQDALAOGo3GGxXQdylcHdbDPQas0NDQ0BF1D6t9vlQqfckAAJlESAcAYB0onHtAP2iMRcfK+WzuHa+gK6g/GwTBhAEAMouQDgDAOlCwuksh680KWYxFx0r5Ze7Tap8vFAq/pZ6J4gAgwwjpAACsgYL58OTkZE7hfFTLo8a+FVdu8d7nPv78iFfSrVdVjw0AkFkcSAAAsAatVutQuVz2cH6LgvotBlw5D+nK5gtfVvt9Lb+odYjJ4gAg4wjpAACsQRzHu8Iw9EvcGYuOFVEwP69uWuvQmWSZy9wBAIR0AADW6G6FLK+g71YV1IArpfXlUYXzrwRB8IVyufyoAQBg3MMVAIBVeeyxxwoKWEUFrW16uEt93oAr4xXzWTUfg35MJ3mmDQCABJV0AABW4fDhwzvr9bpPGHen2tv0VGjAlZnQCZ6Xtd74/dD/sx5HBgBAgpAOAMAq5HK5nUEQjHQ6nZIecp07roRPFBcrnPsY9CdVQT+bPLdgAAAkCOkAAKyCAtZ7FbS2KXDtNqrouDJ+e7W21pt7dILnd5rN5jmtPx0DAGAJQjoAACuggOXzuQwpYO3Q8h4tF5kwDldoUu2Mz+auvlatVtsGAMAFCOkAAKxMWW1IAf09CucHtVwx4Mo8oPapXC53f6FQeNEAAFgGIR0AgJUZUQsU0L2izl1ScCW8Yu6Xuc+rn1XP/dABABdFSAcAYAUajcaPKKBXFbT2qh814DK0njyu9eUltY+Xy+U/0WMmigMAXBQVAAAAroACll/iPpQEdMI5roSvMFEcx/NaZ/y2azUCOgDgcqikAwBwZRZnh/tJBa0D6gnquCStJ91L2xXSP+JV9FqtNmcAAFwGlXQAAK6MTxg3rLCVN05y4wpoXamrmwiCYE7LXlGnig4AuCwOMgAAuALNZvO7VRkd1uJ1arsNuLw/VfuCAvq3q9XqWQMA4AoQ0gEAuAI+SZwqocMGXJ7P3t5KZnOvab3hfugAgCtGSAcA4Mp8UEG9O6O7wpcBl/ANtWe0nnxyeHj4GwYAwAowJh0AgEtQ0Cp602JJAb1kwMXFam2fzV3rymQul6sbAAArRCUdAIBLu77dbhcVvN6m4LXPgIvQyZwzWkdmwjD8w0Kh8F+td9k7AAArQkgHAOASOp3OWBRFRQMurjv+QQG9pqB+TovzyXOMiwAArBghHQCAS1BA/9vqdimAjRmwPL/MXfl8we+H/ul2u/1cqVSqGQAAq8CYdAAAlqGwlUvaSHLrNWBZWj8aWk+mfTb3OI6b1Wq1YwAArBKVdAAAllGr1XYrfOWCILhbDw+qhQYsQ+H8s1pPHtL68tlCofCwAQCwBlTSAQAAAABICSrpAAAsQ5XRX1BldJsWtxv7SyzviNaRs6qk/0dV0D9tvbHpAACsCZV0AAAAAABSgsoAAABL+ERx6oYajYbP6u5j0SsGvFpdzSeH+7/iOP7E3Nzc2VKpFBkAAOuASjoAAAAAAClBJR0AgCVUQf/Q0NBQVYv71cYNeK0/WVhY+LrWky+Xy+XnDQCAdUQlHQAAAACAlKCSDgCAdceid09cN5vNX1B3QFXSUQOW0DryFa0X59T/oSro9xgAABuASjoAAAAAAClBJR0AAOtW0L9fVdJhVUlvVr/bgO+YUGtpvfi1Vqv1QLVanTMAADYIlXQAAAAAAFKCSjoAAKIq6YdVRd8bBMGoegNkcUX4l2qPFovF+0ql0pQBALCBqKQDAAAAAJASVNIBAJnWarVu9z6KortUTd9HFR1L/KXaCe9VQT9iAABsAirpAAAAAACkBJV0AEDWfdi/BEFQpYqOxHG1htpvR1H06PDw8LQBALBJCOkAgExTMB814NUitXYcx/MK6D5RXNMAANgkhHQAQCbNzs4u3gv9x/yLwvqIIeva/kXh/N/k8/kni8XiM9arqAMAsGkYkw4AyKQgCEJvHs4J6FhiYWhoaF7rxLmzZ8/WtOyPGQcBANg0VNIBAJmk4PV3ksX84lOGTNM68cfqTqr/+jPPPPP8rbfeGhkAAJuMkA4AyCQFseriogHWHfLgl7ZP+1j02267rWUAAGwBQjoAIFMUxEreN5vNnzXAuidsHlM3p3D+R6VSyZdrBgDAFiGkAwCyZrFyXjWgp6OTN80wDOe1PKPQzmXuAIAtQ0gHAGRKvV7/gPdBEGw3ZJ2H8kgV9H+r9niz2TxWKBQI6ACALUVIBwBkiqqkizO5c4cT+Kztsaro8zppc25ycpLL3AEAW46QDgDIBAWx7mXurVbrw8ljQ+b9tiroL2id+PbY2NiJ3//9348NAIAtRkgHAGSKwvmoAdZdF+rqJsIwnBsaGuoYAAApQEgHAGRCvV5/i/dBEFxtyDSF83utNx7987Ozs0/u3r17ygAASAlCOgAgExTOtyWLI4ZMU0g/o8q5j0M/vWfPntMGAECKENIBAJmgQPZB7+OYYccZNqEWhWH4HxuNxsujo6MvGQAAKUNIBwBkgsL5VYasa6l1Wq3Ws6qmn9Ry3QAASBlCOgBgoNXr9e4YdIWy7pj0oaEhQ+Z0L5/QOvC7ev9PVSqVF/SwocY90QEAqUNIBwAMtCAIumPQFdC2GTJN68CT6nwMeofZ3AEAaUVIBwAMug8mPSX0jFIg/0wcxzPlctlndZ/S44YBAJBShHQAwEBT9fSgIdO0DhxXMJ85f/789Pj4+LQBAJBihHQAwECanJwc814B7d3eMxY9k46rtbQO/Be9/yfHxsYI6ACA1COkAwAGUi6Xy3uvcLbHkEkK5/N6/1ulUul5PXzZAADoA4R0AMBAyufz70sWi4asaastKKD/ppqH81PWmyxuwQAASDlCOgBgIAVBsN97VVMDQ9b4LdcWwjB8Mo5jD+mxAnpsAAD0AUI6AGCgKJR3922NRuP93jMWPXu0DnxM7/tkq9V6bHh4eEbLbQMAoE8Q0gEAg6ZbOVcw22/IKh+DPqmAPqf1YN4AAOgjhHQAwEBRBf1t3iucjRuy5mmvmquS/gX1Z/W4ZQAA9BlCOgBg0BxO+rIhUxTOz6irR1H0dKlUOs1EcQCAfkRIBwAMmvcYsqZmvdnc/9jHoo+MjMwT0AEA/YqQDgAYKApntxiypqUqeiwP6v0/ab3QDgBAXyKkAwD6ns/o3mq1rvNlBbWrvWdW90z5qN5vnyTu5XK5PGm9W7ABANCXCOkAgEGQUzjf6wsKatsNmRIEwUM6UXPWA7re/7oBANDHCOkAgEFQNMaiZ9FXk/5+naQ5p577oQMA+h4hHQDQ9+bm5or5fJ6x6BmjqvkR7xuNxrHR0dFzBgDAACCkAwD61sLCQqCAvrNYLO5TJfVNhkzwS9u9D8PwD72vVqtMFAcAGBiBAQDQpx588MFQFfTRKIrG9fCqpGHAqYI+6y2Xy93nTU8xDh0AMDCopAMA+tYdd9xRqNVq7w6CYJdx4jkLIv+igP67yeOGAQAwYAjpAIB+VgzD8OaFhYVRQ2ZEUdSdME5hnYniAAADh5AOAOg7CuV+E/Ryo9EYV1B7p5ZLhiz4lH+J4/hZAwBgQBHSAQD9yEN6oVQqDTebzesU1LnUPQN0cuZR7yuVymkDAGBAEdIBAP2ooCr6mxXa9gRBULBeaMfgOpH0XzQAAAYcIR0A0HempqaKw8PDb1ZA36agXjAMNL3HJ70vlUpfMgAABhwhHQDQV/ze6OpKrVbrrVoeMQyyln/R+/znyePIAAAYcIR0AEDfSCaMCxqNRnloaOhtxn5s0HVnbw+CoBvS9Z7HBgDAgOPgBgDQT/KqoN+Yy+X2RlE0ZtwbfdB91r/oPZ8wAAAygpAOAOgneTW/L/ou9WOGQfc5/zI6OkpIBwBkBiEdANA3ZmZmivJ2hfRRwyB7xr9EUfSAAQCQMYR0AEDfyOVyRQX07xoaGioaBlk3pA8PDxPSAQCZw1g+AEDq3XPPPblarXZQi92moL7PMGhinXyZ86b39xPetLzgzQAAyJAhAwAg5RTYivV6/XYt7luc6RsDx2+vds4XOp3OG72vVCqnDQCAjOFydwBAPygqnPtY9O2GgaSKec2r5748MjIyZwAAZBQhHQDQDxbHoo8YBpLe35q6bkjX+zxvAABkFCEdAJBaCm7B1NRUtdlsbldwu1lPFQwDRe9rM47jx9SftWTCOAAAsoyQDgBIs6BUKo0pxO0IgsBDOnOpDBidiGkpoD+ofqJcLhPSAQCZR0gHAKTW6dOni+Pj4zcrxO1SiPOATkgfEHpPI72nPvZ8Qidg7ksudwcAIPMI6QCA1NqzZ0+h2Wz+gCrpYwp1oWFgKJTH6nz29pP5fP5P1ccGAAAI6QCA9PGx6Oo8lA+rXa9WNgyS2KvoOvHyZS1Pq7UNAAB0EdIBAGnkl7UX1apqdynMBYZBsaAW6T2djaLodxTWm6VSqWUAAKCLkA4ASKOK2uFms7nXejO6MxZ9QCicN+I4flyL54IgOKeA3jEAAPAKQjoAII0qCujvVKDbrkrrsGFgeOVc4fwTem+nC4XCUQMAAK9CSAcApIrP4j43NzeWy+VuUZAbMQwKr5hPJvdDf0TV9IYBAIDXIKQDAFJj8TZrxWJxVCHOZ3XPK9QZBoKPQ39O/cuqoH/SemPTAQDABQjpAIA08Vncd3Y6nX0KdKNMGDcQPIy3dQLmfDKb+4wR0AEAuChCOgAgNWZnZ4dVRb89DMNbFOp2GwaBB/KmAvpUHMc+m3tHy9wTHQCAiyCkAwBSI5/Pj6rzgH7QMCjqej/vVT/R6XRmK5VKZAAA4KII6QCA1FAF3ceiv0eV1nEFO0P/0/tYV/dH6ueq1epZAwAAl0RIBwBsOQU4vxd6pdFo7AyCYK8elwz9rq12Uu1su90+ove0ZQAA4LII6QCANCgoyF2t/rDC3E2GQeAh/cGhoaEzo6OjXzUAAHBFCOkAgDQoxnF8UFX0XVzm3vcWFMy9at5Ue1rv5xkDAABXjJAOANhyrVZrl4LdBxXo9hr6mgd0vY+T6k80m81/Xa1WmSgOAIAV4P6zAIAtozA35OPRO53OiN9yzSeMM/QzvwyipvZUHMdPK6D7Je9tAwAAV4xKOgBgK+VrtdqOXC73OoX071Pj5HH/6o5T0Hv4orp/qVbXSZcZAwAAK0JIBwBspWK73T4QBMFOBbohQz/zcehnFNJfDsNwMrn1GgAAWCFCOgBgy/gt14rF4o9r0Wd2zxv6md8D/c91ruVIoVB4wAAAwKpwWSEAYNMlY9FVQA/8fuj7Fex2GvqS3jufGK6m93Na/fN6fNIAAMCqUUkHAGwFv7Tdb7u2T6HufWp5br3Wn/S+NdS9oBMu31IF/Xe0HBsAAFg1KukAgK1QaDQaexTwdmjZAzonjfuPn1XRW7cwr5MsT+iEywvWC+icbQEAYA04KAIAbIVtau9W9fVG9WOGfuRhvKP38DmF9F9Tm/N7pBsAAFgTKukAgE03PT3tY9EPqgq7y9Cv/DL3o2ovqYo+p8Zs7gAArAMq6QCATeWTxrXb7V0KdR/U8oihX72s9h/UXiyVSkcMAACsCyrpAIBN42PPZ2dntyugj+vhsFrJ0G86atN6LyeGhoaOB0FwxgAAwLqhkg4A2DQzMzOjxWLxTi2+Qe2QQp6hv+g9m1VAf0j9w4VC4aPGRHEAAKwrKukAgE2Ty+WKCnejakVDv/EwHktN7985BfWaEdABAFh3VNIBAJtGIX2Xwt0vqm2nit53IrU5tScV1H81iqKG3kNCOgAA64xKOgBgwymUB2p5r6CrL6vnJHH/qSfj0OfUd9RiAwAA646DJADAhjt9+nR527ZtVyvg3aL2TkM/Oq5g/mvqTw8PD58wAACwIaikAwA2XLlc7o5Fj6JocSw617r3Cb1vLXXz6ucV0ue13DIAALBhqKQDADZcsVj0+6J/OAiCfX6fdEPf0Ps1pfZ5hfQnRkZGPm4AAGBDUUkHAGwYD+Q+Hr3T6XglfUTLBUO/8DHnfk90r6JP6L2rGwAA2HBU0gEAG+bYsWPFHTt2VMIwvFoh7wPGyeF+4qHcJ4r7dqFQ+F+sF9gBAMAGI6QDADbM6OhoIZ/PVxXQfSz6kDEWvR8s3lbNK+jnvLdeVZ3brQEAsAkI6QCADVOpVA6pe59C+mH1JUO/8ED+YBzH/yoMwymF9RkDAACbgssOAeD/ae9Ogyw7z/uwv33O7XtvrzMYYAbbjLkAEEkQIgWRokhLIlWWSFlRJNmS9SWOKonyId8SuSqV+Itd5bKtisupUkrluGwtVijFWkyGFLVRpEGJOwkKIA0CwhDENgCIwaw9S293O6fzvD0NcAMGs/Ryl9+v6unnvT0z3bfPLQzmf59z3sO227oWfaqqqhzMX5ykMxq6UTmU593cO/me6AkA2DUm6QDshHxaeyOmsHdGyPvFmMTaMG50PBH10ZiiPzA7O/uFBADsKpN0AHbC9IULF+YinOcJehnd/2+GXxXVi9dqJd5YOV8URScBALvOJB2Abdftdg+3Wq0fimnsu+LhoQh9ieEWr9GFCOjPxvK+drv9f6ZLm8UBALvMZAMAAACGhEk6ANuuqqo3l2X5y7E8kBh2+TT3flEU90X/Z4PB4Hyr1eolAGBPmKQDAADAkDBJB2DbbGxs3NLpdN4YU9l3xfrexNCL1+nBqamp34v+aLvdfjQBAHvKJB0AAACGhEk6ANsmpuh3x1T2f46p7JHEUIvX6Hi8Vo9E/88xQf+1WNuCHwCGgEk6AAAADAmTdACu29mzZxfn5uYOxfJtUT8dNZUYVp2Ynq9G/2hVVf9kdnZ2zRQdAIaHSToAAAAMCZN0AK7bzMzMm6L9w6jcvQE83L5QFMW/ien5M/G6vZAAgKHiH1IAAAAwJEzSAbhmGxsbzWiznU7nLdH/h6jpxLB6Iqbnn63r+rPtdvtDCQAYSibpAAAAMCRM0gG4ZisrK98zPT39d4uieHtM1ecTQydel3MxQT8Xyz9tNpv/NHovAQBDyyQdAAAAhoRJOgBXLaaz+T7oRa/XuzPW/31d1wdiWpsYKnXURlEUfx6v0R/m3dzj8UoCAIaaSToA12qqLMu8cdxCVDMxlCKgr8WbKGeir0ZQ38iVAIChZZIOwFVbX1+/LSa090a9Mx7mdREhMDE84vX466gvxUvz8ZmZmS/Hp6oEAAw9IR2AqxbT2GbUbCxbUQ0BfSh14zW6UJZlnqB3EwAwEoR0AK5aVVV3RPD7HyOcH04MlXhNTsZrk+sj/X7/d5eWllYTADAyhHQArlqj0WhGGFyMZcuGccMlXo9BvDZ5ir46Pz9/Pspp7gAwQoR0AK7YhQsXDkRAf02EwO+PEHhvfKpMDIt+rnht/jTqd6Kei8cDG8UBwGixuzsAV6woijJCXyt63s1983r0xLDIYTzv3r4ar8+ZwWCwJqADwOjxjysArlhZlndEAMzXor8hMVTiNfl0vDb31XX9hXa7/VSr1aoTADByTNIBuGLT09OtfC16VDsxVGJqvh4B/VxU3s09n+YupAPACDJJB+BVRShfWFtbW6iq6s0R/v5uunSqO8PhqXh9jkX/45WVlT+86aab3G4NAEaYSToAr+rcuXNFhPP8xm6+Fj3fH92bvMMjT83XiqJYPXjw4HKsewkAGFn+kQXAq5qZmXlrtB/NO7rH1Dbv6O6+a3ssbxAXr8VaLD8S6/+n2WyeTgDAyDNJB+BV5R3doxbqus7XogvowyHv3F7nsN7v98/Gei0BACPPJB2AVxST2vz/ielut3t39J+KQHggsdc2b6sWr83no308XpsvLSwsLH3gAx+wURwAjAEhHYDLyWdc5Xuj5x3db02XrklnCMTrcSZel8eazebJ6P0EAIwFIR2AV9Tr9e6M9ua6rvOu7vPJZVLD4LGt+kS8Pl+IKbrT3AFgjAjpALyiHMwjoN+SJ+nJ/zOGQrwWyzFFPx795OLi4tkEAIwV/+AC4LtECMybw011Op18LfrPRyB8TWJPxWtyLl6HlXjT5C+rqvq9ubm5EwkAGDtCOgCvaGuCfnsExMVYJ/ZUN2o9XodTEdCfjLX7oQPAGBLSAfgu6+vrR6anp49EOM/Xot8e5f8Xeyfv2p5vtfbn8Xp8KqboX221WusJABhL/tEFwHcpimKmruubYpkn6TOJvZRD+kaE9GcioB/Nk/Qot1sDgDElpAPwXfJu7o1G4+9HGLw7sdfujwn60bIsP7W2tva1m266qZsAgLElpAPwXfK16BHUj6RLk3T2ULwWJ6KOxetx7uDBg8sJABhrQjoAL1leXj4Y7WCEwu+NemtMcNuJvXI86myE849Fv6/dbr+QAICxJ6QD8JKyLFvp0vR8MQL6/sSeybdbi9fgQvTjrVbr2XTp2nQAYMwJ6QC8JALhHUVRvCemt3e65dqe6UdVEdA/Ga/F56qqejReiyoBABNBSAfgJREKD+ZN4yIUHkzslcFWHY2A/tmVlZUzCQCYGEI6ACmmtjPLy8uzsbwjAvrbom6IzyX2xP1RR/v9/lc6nc7pm266yT3RAWCCCOkApHPnzjXb7fZcBPM8QX9N9CKxV56I4/+luq6ft5s7AEweIR2AND8///qqqu6N5Z1RZZQL0nffsQjn+dT2L0xNTX222+2eSADAxBHSAUgxtb0pguGb8iR9yo5xeyIO++loz8Rr8FS73X4iAQATSUgHmGARCPP/B8p+v39HTNLfE+vbE7ttLQJ6N+/mHq/Bp2ZnZx9LAMDEEtIBJlu+9nx6a4J+V6zbid3Wi+O/HnV0MBh84YknnlhNAMDEEtIBJli32/1b0e6KgJjvi553dy8Tu2Vz+/y6rj9bluWXY4r+0KlTp1bvvPPOfgIAJpaQDjDBiqI4ECHxzq37ojcTuy5eg6/FmySfi+WJu+66q5sAgIkmpANMoAiFeXO4qV6vd0eE9PfGJPf17ou+645GfSPeIPlSs9l8JNZLCQCYeEI6wATL16LHJPdNEdQP2NR9130j6mhVVc/EsT+eAACSkA4wkdbW1m6Znp6+NV26L/qhCImtxK6IN0ZORevHmyOfjvpkr9d7KgEAbBHSASZQWZaLERaPbO3qvpjYTatxzFdjgv5Ys9l8cGFhwUZxAMBLhHSACRQh/fBgMHhnhMXDid1S5Q8xPf9UtGcajUaeoA+i6gQAsKVIAEycCOhHIqC/M5ZC+u7JYbyK455D+ofW1taejvUgyo59AMBLTNIBJsjGxsa+aDOdTieH89dG7U/sijj2X4lAvlRV1dNRJ/ft27eeAAC+g5AOMFn29fv9G7dOc39tYtfEMf9ytKcirD81Pz9/MgEAvAwhHWCCDAaDfF/0Nyanue+mF6I6Ec4fbDQaR9fW1i4mAIBXIKQDTJAIinfka9GjC+m750TU+XhzJIf0hw4cOGCjOADgFQnpABMgQnk7WqPT6bwuQvo9sT6U2GnddGmzuLxR3FNx3E9Ht0kcAHBZQjrAZGitra3NFkXx2ljnkF4mdlov3hwZRH061g/MzMyctpM7APBqhHSACRAB/fXRjqRLE/Qc0KcSOyrC+RejnWw0Gs9OT09fSJfuiQ4AcFlCOsAEiKD4urqu743geCimuabou6Aoii9EO9rtdp9rNps2iwMAroiQDjDGIpRvTs0jKL4+wvnbo25M7LSnolajHok6uhoSAMAVEtIBxlsR1Yip7utjkv72WC8kdlq+F/qpeEPkkVardTQBAFwFIR1gvB1ZX18/GCH9lljPJhvG7aSVCOb5uvPPRn+82WyeTQAAV0lIBxhjnU7nSATG74m6Oaa7s4mdtBLHuBv1uXa7/UB+nAAArpKQDjDGqqo60mg07q7rel8E9cSO2LytWhzfB+M4n4vKO7n3knuiAwDXQEgHGFMx0Z2KSfrdsXxfBMjbEjulzh/ieH882kO9Xu/xubm5tQQAcA2EdIAxFIHxwPr6+mzezT3W+6M3EzvliTi+naqqnh8MBif6/b77oQMA10xIBxhDMc29rSiK22P5uihT9B0Ub4J8OdpzEdS/sri4+FQCALgOQjrAGIrgeCRC+hujL0YldsSFOLZV9EcioD8Zk/ROAgC4TkI6wHjKm8W9N/rhxE55PsJ5L47zXzabzS9H9RMAwHUS0gHGyIkTJ+ZardZ0LG+Ouj1C5IxJ+rbbvOY8ju1fR52P472ctjaPAwC4XkI6wBhZWFjY12g09kcwvysevllA3xE5pG8URfG7MUV/IdbHIqzbLA4A2BZCOsAYibB4pCzLI/1+f3Hrvuhujr7N4o2Pv4m21u12T+dJerPZrBIAwDYR0gHGSEzR3zQYDP52hMd8LbqAvgNigv7HEdSX5ubmno7jvJwAALaRkA4wBh555JFmhMaiqqp8u7U7IjzOJ7bbqai8OdzXy7I8Hb2XAAC2mZAOMAZuvvnmVhZT3jfElPdd8anpxLaK4/pYvPmx3u/3PxlviJyMtQv+AYBtJ6QDjIGFhYVb67o+GEFyfzwso4rEdskT8zqm5w9UVXUuAvqqgA4A7BQhHWAMRHh8Y6PReEuE9CPxsJnYNnFMV6PVMUH/j9GPR60lAIAdIqQDjLAIkJubw/V6vcWYpOf7oi8ktlUc0+eiVtrt9oV42E3uiQ4A7CAhHWC0bZ7aHmH9HREkfzZqn3ujb7t/my5tGnc8jq8pOgCwo4R0gBF27ty5uZjwLpRluRjhvBnl7/XtczaqF8H8VFEUeTf3fgIA2GH+MQcwwiKg3xMh8o4I56+Phzcmtk0c1/viuK40m81Px/psAgDYBUI6wAiLCW+eoB+O5b7Edtm87jyO6zcinJ+J9XoCANglQjrACIsg+c4Ikj8dy9sT2+Vk1CDqN2KKnndzF9IBgF0jpAOMoAjn89Ea3W53MXpetxLX68Ud956JuthqtZbTpbAOALBrhHSAEdTv9++sqmp/TNHfGA/vSmyHzVurxTH91Ti2J2J5NtbdBACwi4R0gBFU1/XBaDdHiFx0y7XtEcfxVBzP9aIo8iZx+Z7oVQIA2GVCOsAIikD5ngiU92xtGsc2iGP5gWjnG43GV+PYnk8AAHtASAcYIREk87XnRb/f3x/T9HzLtdnEdYlAfnFr+Xwc07ybeycBAOwRIR1ghKyvr99UFMVMhPW3Rbh8R3xqKnFdIpgf3Vr+/uzs7AvJae4AwB4S0gFGSL4WPcJ53jAuT9QF9OuzGcbjmH4t9wjoK9E24ti6yB8A2DNCOsAIaTQa7452Z9ShJKRfr83T2suy/JWtx8sR0E3RAYA9JaQDjICNjY0i906nM18Uxbwd3bfFUv4Qx7KfAACGhJAOMBryBnGNmPT+aITKd8V6JnFd4jj+i9xnZmaeTgAAQ0JIBxgN8+vr69MxRc8Tdae5X5+1/CFC+nICABgyQjrACOj1eu+JfH4klq+Nmktcj/vyh9nZ2d9PAABDRkgHGGIx7d2cmvf7/YVoC65Fvy6bm8LFMTybAACGlJAOMNw2T2+PYPm+qB+M9c2Ja3U6fxgMBv97AgAYUkI6wBBbWlqaO3DgQCqKoqyqyt/Z1+bF0w82J+jz8/NuswYADC3/4AMYYrOzs2/r9XoHY4r+xnh4W+J6/OP8YWpqaikBAAwpIR1giMUEfbGu68UIlolrtrmLe7zRsZYAAIackA4wxPK16NG+P+pw4lr9x/xhZmbmLxMAwJAT0gGGUITzVu6dTqcVU/RW4lr084c4lucSAMCIENIBhlCv17ujqqrFsizvjZB5b+JaPJk/tNvtf5kAAEaEkA4whHJAz9ejJ67F5m7u8ebGmW99DAAwCoR0gCE0NTX1ExEy7446YtO4qzbIH8qy/Ee5x/FbTwAAI6JIAAAAwFAwSQcYIisrKzcXRZE3intvTIB/MHqZuCpx3P5Z7s1m84EEADBiTNIBAABgSJikAwyRRqPx96PdEfW3kr+jr1hMzzsbGxubk/OYoP8fCQBgRJmkAwAAwJAwpQEYAjEFnolWdrvdn4n+rqj5xJWoo1bquj4e/RfzJ2KqXiUAgBFlkg4AAABDwiQdYAj0er2fjGn67bG8K2p/4orEMVuK9r9GX5mdnT2WAABGnEk6AAAADAmTdIA9FBPgzTdLO53Oz09NTb0jlrcnXlUcq9U4dh+Nfqrdbr8/AQCMCZN0AAAAGBIm6QB7qNvt/lhMg2ej3hIP70xcVhynQUzQT+bd3Hu93v8UvU4AAGPEJB0AAACGhEk6wB6KyfAvxWT4luiHoycuKw7Rxumo/67RaKzPzMwsJQCAMWOSDgAAAEPCJB1gD3Q6nbtiet6M5Tui3xbTYX8fX97FqA/EsVpqtVqfSwAAY8o/CgH2QA7ouaqqmoneTlyJ5bqul+N4dRIAwJgS0gH2xj+IuqkoigXXol9WL+rpOEYvtNvtfxVrBwsAGGtCOsAeiGnwYgTPxcSV6MfxymH9fBLSAYAxJ6QD7KKLFy/eGIGzjID+3niYd3SfS7ycfP/zQdTxsiz/l3Rpot5NAABjTkgH2EU5oBdFUW6FcwH98vIt11Jd12di3YtjZ4oOAIw9IR1gFzUajb8XwXN/LA9ETUdNJV7OUxHKfz/6xWazeTQBAEwIIR1gF0VAX4jwmSuvBfTLiONzPupiHKt+AgCYEEI6wC6IsNmKNtXtdn82XboW3aZxLyMC+bm6rr8Wy4fW19d/KwEATBghHWB3TG3VwlbxCrbug9654YYbLiYAgAkjpAPsgpigvzcmxAtFUdyWLl2PXiS+VT6lfW1jY+PBqqr+t0aj0bFRHAAwiYR0gF0QgXMuV4TQMrqA/jLi2NRxbHKdaTabnQQAMIGEdIAd9OLmcDFJ/4U8RXct+it6PML5/x0T9JNlWb6QAAAmlGkOwO5YFNAvL0L62X6/vxR9kCsBAEwgk3SAHbS6unpPTNBnInTeEXUoXbo3OlvimCxFeyD60enp6b9Ml65NBwCYWEI6wA4qy/KGCKAzsZyNmkt8m42NjV4cn5PRT0Y/nQAAJpyQDrCzfiIm6Yfqunaq+7frRZ2LYP5w1K/FFH05AQAgpAPspAjohyOg35z4TnVUJyboF5vN5hOxdg06AEAS0gF2xOrq6m0R0KcjhN4bdfvWKe+klO99ngP6saj/q6qqvJP7ytbnAQAmnpAOsAPKssz3Rc8h/UD0GxLfJo7Jal3XX4vjc95O7gAA3ySkA+yM90XdGAF08cV7pbO5Udypoijui4D+eKfTeajf7wvoAADfQkgH2AERRg+nSyE98W26EdCfi378hhtuOJ8AAPg2QjrANjp16tR8o9EoI5z/8FZQn09ka1HfyLu5R//tCOprCQCA9J2EdIBt1Gq1mhFEiwjoN0e3q/s3VVErcVzOtdvtY+nS5nEAAHwHIR1gG0UA/dGYEu+P5Y1RrahJP989h/NBvGHxRFVVvxL9dLp0uzW7uQMAvAwhHWAbRQjNt17bHxPjIh4Wic1broXVsiyP5h7HyBQdAOAVCOkA2yBC+ebfp91u98fztegRRBcS2VMRzP883rh46ty5c8/cfPPNVQIA4BUJ6QDbY3Nqnifp0W5LbMrXoEdAfzKC+vO33HLLagIA4LKEdIBt0Ol0fjD3COk3RcvXpE/6qe5no54vy/L+COqfiOPSTQAAvCohHWB7vG6r59PcZxLrUc9HHWs2m1+LkG6jOACAKyCkA2yP9231Vpps/ag8NX8ogvlvr6+vfyNCuoAOAHCFhHSAbRCB9O6t5aSH9LwxXCfqhX6//7mqqtYTAABXTEgHuA7dbveNudd1/ZrcI6yXabJ9PerjcRweOnfu3IXDhw/bzR0A4CoI6QDXIcL5LblHKD2QyLu5ny2K4vNxPJ45cuSIKToAwFUS0gGuz/sS2QsRzr8eIf3zVVU9ODMzs5YAALhqQjrAdfiWa9En3Upd10/ke6LPzs4+mwAAuCZCOsA1WF5ePrS1/L402dZjer4c4fzBqN+LoH4yAQBwzYR0gGswPT29uLU8kiZbf2pq6mIE9eONRuNL6dIt2AAAuEZCOsA1qKrqvbmXZVmkyZTvfV5HQH80jsWHYop+NF26P3qdAAC4ZkI6wDWIcP6mRN7N/XS0T+cegd0UHQDgOgnpAFchwmg79263O9HXosdxOBmh/Gj0r8TDb8TxsJs7AMA2ENIBrk57q9+bJlgE9JMR0D9TFMVXWq3W8wkAgG0hpANchU6n8/25R0htpsmUJ+ZLEdDzNeifinohAQCwbYR0gKsQ4fz7t5aTGtJXI6DnyfnX2u32p9OlDeQAANgmQjrAFYhgurmLe6/Xe8fW4zRhqlzxJsWTdV1/uCiKR9KlndyFdACAbSSkA1yZzZAe4fwH02TKIb0XAf2pCOgf6vf7F2OS7nZrAADbTEgHuAIxQX/xlmv70mR6IupoTNIf7Ha7S4uLi90EAMC2E9IBrsykh/QnNzY2Phb96/v27VtKAADsCCEd4ApEQH1nmkxnos7Gz/9wWZYPVlV1NgEAsGOEdIArECH1XblPTU2lCZND+WNFUTzcbDa/nAAA2FFCOsBlrK2tHd5aHk6TpbdVD8cbFH8RIf2xBADAjhPSAS5vM5zHBH0SQ/pKPs19MBj8cbvdXk0AAOw4IR3gMmKCPInXom/EmxJfi4D+YD7NfX5+Pgf0fgIAYMcJ6QCXMYHXom9s9a9FfSR+/sfjZ19LAADsCiEd4GWcOHFibmv5mjRBIpSfjen56bqun47+jWazeTEBALBrhHSAl7G4uHhj7jFFfluaLE9HUP/r+Lm/2Gq1Hk4AAOwqIR3gZcQU+U1by0k5z70T1Y16KkL6A2VZHk8AAOw6IR3g5f34Vi/TBIhgvhLT8zNbE/Q/TDaKAwDYE0I6wJYIqnlqvvn3YrfbvStNhrxR3EZRFPk0969ESH86Hg+i6gQAwK4T0gG+KYf01tb6PWky5DBe5VPcI6j/1vT09PEI6r0EAMCeKBIAm44dO9aMdudWNbdqrEU4PxGh/CuxfKqqqrPnz59fTwAA7BmTdIAti4uLzW63+yNbD2fTBIiAfjTaJ+q6/uLs7OyxBADAnhLSAdJL16O3Op3O3flxhNc05lajVuLnfrrRaDwc/VQCAGDPCekAl0ytr6+3i6L48TQZzkY9G3V/WZZ/EWWjOACAISCkAxMvpsjT0W6NifKtVVUt5s+N8SR9c+f2PEGPNyQ+F+H8WLq0wzsAAENASAdIabrX691b1/WhCOeH0njrb9UX4+f9jWazeT5+ZlN0AIAhIaQDXLrt2vdGWN2Xxt/jMUU/Gf2pdru9Et3t1gAAhoiQDky8tbW1dqPR+K8ipLciwKZxFj/f/dE+UxTFQ/HznkkAAAwVIR2YaGfPnl0sy3Ixwmu+Fr2VxlQE8tX4GfOO7ifjDYkTg8FgJQEAMHSEdGBiRWhtra+v313X9a0xWX5zGmPxM/5NtGNR901PT38qAQAwlIR0YKLFFP1whPVb0/jKu7lXMUk/FT/n1+PNiLMJAIChJaQDk2wxJsy/EAF2Lo2p+NmWI5yvDQaDD1VV9ZFTp06tJgAAhlaRACZQPtV9aWmpHcuDsT6YxlP8aBtnor7WaDRORlAf3HnnnVUCAGBomaQDEydCa2N9ff3mmZmZwzFp/pH41FQaPy9uU//hqI/HFP3RG2+88WICAGCoCenARJqenr69ruvbI7CPY0DPp7lfjJ/vYvSTZVmea7fb6wkAgKEnpAOTaCEmyz8XAX1fhNgyjaEI6F+Mn+1viqL4dLPZ/HICAGAkCOnARIlgnkN5mXd0jxC7mMZPL36uXvx8J2P9VIT18wkAgJEhpAMTI4Jr3ixzJuqmCLI/lcZz88yT8XOej/rjdrv9p/G4nwAAGBlCOjBpbtmq/PffOIX0ja3Ku7k/XlXV6VjX6ZsbyAEAMAKEdGBiLC0tzc/Nzf1kTNEPxMP5NF4GUXUE9A8WRfGnEdKfi5/TFB0AYMQI6cBEeHEX9263ezjWB9L4ydeenynL8mQE9JVOp9NLAACMHCEdmBRT6+vr+2LKnHd1n44pcxon8fPcFz/XA/EmxBcXFhaeSgAAjCQhHZgUsxHQZ6M3ItCO0999+TT3QQT01ah8b/RuAgBgZAnpwNiL8Drb6/V+LPqhCOivTePl61EvRH2w3W5/fGZmxkZxAAAjTEgHJkJMmBfH7L7oeef2fJr7SvxsZ2K5FmsBHQBgxAnpwNhbXV1dbDQavxQhth3T9DQm8untg6qq3h8/10dign4uAQAw8sbpHsEA3yZCbBnVLIqimQN6fKqdxsfZXPGz5Un64NixY3UCAGDkmaQD42ym3+/fFUH2tgjr70xjJH6e34mf69EI6PfPz8+fTAAAjAUhHRhnraqqFiPMLo7Lae75GvSt5erWju79BADA2BDSgbHV6/UORkD/pQiy82lMxM/y+QjqJ6P+uNVqfS0BADBWXJMOjJ0IslP5evR+v583ipuLT82l0bd5P/QI52dzJQAAxpJJOjCOptfW1m6cnp5+XYT0n47HU2nExc9xJsJ5p67r32y32w/Ep1YTAABjR0gHxlGrLMuFqqpaRVHkgD7KIX3zYvr4OU5HQO82Go28i7ud3AEAxpSQDoydTqdzU7RfjMnza6JPp9G2Gchjkv7r0R5aXl7+6oEDB1YSAABjSUgHxka+Fj33Xq/XivVChPTmqO/qHj/DxWgbeYpelmUnAQAw1oR0YJzkkN6KQHtbhNt/mEZ/ip7iZ/lotGej7ms2m08nAADGmt3dAQAAYEiYpAPj5OZOp/NfxxT9DbG+acRPdX8snv9KWZa/Nj09/ZV43E8AAIw9k3QAAAAYEibpwFjIm8b1+/0jMUX/5VjPRU8jKm8OV8fP8M+Lonjw9OnTz95+++29BADARDBJBwAAgCFhkg6MvAsXLhzodrs/EMu3RN09wlP07N9HPRGT9E+2Wq3nEwAAE8UkHQAAAIaESTow8trt9uGYPP+jqAOjOkWP535/PPelqP/QbDYfjj7SW9MDAHBtTNIBAABgSJikAyPrxIkTczfccMNrYup8b0yi3zeiU/SzUXU8938xGAweOHbs2NI999xjig4AMKFM0gEAAGBImKQDI2v//v35WvRfjuWtUSM5Ri+K4h/XdX2q1Wp9od1un00AAEw0k3QAAAAYEibpwMiJ6fn08vLyvqqqvqcsy/82Ho/cG45TU1N/GM97ZXp6+sOxNkEHAGCTSToAAAAMCZN0YOR0Op3bms3m34vl66LaaYTE9Pz5mJz34/n/6vr6+gvxqaUEAABbTNKBkRRBdyFarqk0QpvG5YAebRC1NDMzI6ADAPBtTNKBkbF17XkZk/TXxPoXY91Mo6Pa/FBV/7IsyzxBfy6qG6HdPdEBAHiJSTowaqYajc33F1+cpI+SHMjP1HV9Jq8FdAAAvpNJOjAyVldXD01PT/9QLN8YdSiNkKIo3h/h/MLs7Ozn4+GFCOjdBAAA38EkHRgpEXTncsWy3KpRkYP5+dAT0AEAeCUm6cDIiHB7OOqXouY3NkbmTPFHo3rxfP9Ds9l8IepCAgCAVyCkA6NmMQLvfBodOaB386nusRbQAQC4LCEdGHoRcm/q9/t3RtD9vnj45jQa1tPm2fn1P49+/NFHHz3xtre9rbJZHAAAl+OadGAUNKqqakfP1Uyjceu1Ompjenr6dFEUZyKg280dAIBXZZIODL319fU7yrL8pTxRTyMiAvm/iTcWzrZarYcbjcZKPB4kAAB4FSbpwNCLgNuKgJ6vRV9MIyKe61I876VYDgR0AACulEk6MLQi6M51Op2DEXLviYc/Fn0qDbl4zp+Jp7kW/YPtdvtUrFcSAABcIZN0YGgtLS2VEXLzm4mtqNmtGmo5oEdbGwwGKwI6AABXyyQdGFrz8/O3V1X1M2VZviMm00P9pmI+vT33oih+K57z8XjuZxIAAFwlIR0YWhF2FyP03j4K16LH1LyXe7/f/3o83+MJAACugZAODJ0Iufnvpnav13ttrH8yav8QX47+4m3V/lX+MDc393S09Xi+dQIAgKskpAPDKJ/a3qjrejHC7i1R02n4PbbV+/F8+wkAAK6BkA4MnfPnz982Ozv7QxF2fyAezkQN7Rg9nuOHc+90Ovfn3m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<span id="display--emr">$43K</span> EXTRA Monthly Revenue
</div>
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<div class="c-calculator__column c-calculator__column--desktop">
<div class="c-calculator__output">
<div class="c-calculator__output-title"> Revenue Per User </div>
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<p class="c-calculator__output-value display--rpu">$3.60</p>
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<div class="c-calculator__output">
<div class="c-calculator__output-title"> Annual Revenue </div>
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<rect x="0.279163" y="0.40955" width="262.133" height="41.3553" transform="matrix(1 0 -0.365539 0.930796 16.136 0.873069)" fill="#0F0F0F" stroke="url(#paint0_linear_3901_3150)" stroke-width="0.88"></rect>
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<p class="c-calculator__output-value display--ar">$4,320,000</p>
</div>
</div>
<div class="c-calculator__output">
<div class="c-calculator__output-wrapper c-calculator__output-wrapper--ear">
<svg preserveAspectRatio="none" viewBox="0 0 264 51" xmlns="http://www.w3.org/2000/svg" style="fill:none">
<path fill="url(#abd)" d="M24.845 1.444c-13.26 0-24.01 10.75-24.01 24.01 0 13.26 10.75 24.009 24.01 24.009h213.858c13.26 0 24.01-10.75 24.01-24.01 0-13.26-10.75-24.01-24.01-24.01H24.845Z"></path>
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<div class="c-calculator__output-title"> Extra Annual Revenue </div>
</div>
<div class="c-calculator__output-inner">
<svg preserveAspectRatio="none" viewBox="0 0 279 41" xmlns="http://www.w3.org/2000/svg">
<rect x="0.279163" y="0.40955" width="262.133" height="41.3553" transform="matrix(1 0 -0.365539 0.930796 16.136 0.873069)" fill="#0F0F0F" stroke="url(#paint0_linear_3901_3150)" stroke-width="0.88"></rect>
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</linearGradient>
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</svg>
<p class="c-calculator__output-value display--ear">$518,400</p>
</div>
</div>
</div>
</div>
</form>Text Content
Landing Pages & FunnelsA/B TestingCase Studies Book a call PartnersContact Us BOOK A CALL BOOST E-COMMERCE REVENUE WITHOUT INCREASING AD SPEND Guaranteed 10% Revenue Uplift within 90 Days. Guaranteed 10% Revenue Uplift within 90 Days. Start Now with a FREE Call "I can say without a doubt that working with TVRBO has been the best marketing investment to date." "I can say without a doubt that working with TVRBO has been the best marketing investment to date." More than 300 Satisfied Clients 21% Average Increase Per CRO Test 30% Average CPA Decrease 18% Average AOV Increase WHERE OTHER CRO AGENCIES STOP, WE PUSH FURTHER. By shifting our focus from conversion-obsessed to revenue-obsessed, we're able to scale your business at a much faster rate. Here's how we do it: Click for sound 1:01 1 Revenue-Per-User Approach We don't just count sales based on the number of website visitors (Conversion Rate). We take it a step further by making each visit more profitable (Revenue Per User). 2 Customer Insights AI Our cutting-edge AI tool extracts customer feedback from platforms like Amazon and Meta and classifies it by sentiment. This uncovers customer desires, purchase motives, pain points, and hidden marketing opportunities. 3 High-Volume Rapid A/B Testing Using data from the Customer Insights AI and other valuable sources, we swiftly conduct multiple A/B tests to achieve rapid results and revenue turnaround. OUR SERVICES MORE THAN 50,000 MONTHLY SESSIONS RAPID A/B TESTING Through extensive data collection and customer analysis, we identify what tests will have the biggest impact on your conversion rates, average order value, and profitability. From there, it's analyze, implement, and repeat. Convert more with expert A/B testing Includes a 50+ page audit report Performance-based pricing LEARN MORE LESS THAN 50,000 MONTHLY SESSIONS LANDING PAGES & FUNNELS Scaling comes easier when you have a strong foundation. Through data-informed optimizations and audience-specific landing pages, we're able to build a high-converting customer journey that drives growth and profit. Boost revenue with every customer interaction Unlimited calls with your personal success manager Performance-based pricing LEARN MORE SUCCESS STORIES FROM OUR CLIENTS From my perspective, TVRBO's help has had the most direct and meaningful impact on our business, and I would definitely recommend TVRBO to small business struggling to manage your website funnel." Paolo - Giant Loop "We sell niche products, really, they are a niche within a niche, making the customers very difficult to target. They've been great with feedback concerning the nuance of our product, and adapted quickly. They also have a great tracking and communication document that they have put together. 10/10." Erik - Robert Axle Project "The TVRBO team has proven themselves to be invaluable partners to EarthCruiser in expanding both our brand reach and product demand in a strategic, data-driven manner." Mary - EarthCruiser CASE STUDIES A/B testing GIANT LOOP Unclear product differentiation was a hurdle for Giant Loop. We tackled this with strategic A/B testing, leveraging customer data from our AI reports, heatmaps, and Google Analytics. This data-driven approach pinpointed high-impact improvements. Results +330% Overall Uplift +142% Greatest Single-Test Uplift CASE STUDIES A/B testing MOON To boost this brand, we created landing pages that cater to their audience and enhanced their website by adding high-converting elements. We also conducted competitor comparisons, addressed unclear messaging, and expanded product offerings. Results +353% Overall Uplift +72% Greatest Single-Test Uplift CASE STUDIES Landing Pages & Funnel Optimization DON’T TELL COMEDY First, we analyzed their drop-off rates, engagement rates, and events throughout the funnel. Based on that data, AI reports, and extensive A/B testing, we created a high-converting website by tailoring copy, UX/UI, and implementing urgency messaging. Results +108% Conversion Rate +4.16% Average Order Value +159.84% Revenue Per User CASE STUDIES Landing Pages & Funnel Optimization SPOUT WATER We improved Spout's market entry by creating a new website, implementing an educational pre-sale page, adding a tiered pricing structure, and implementing urgency messaging. Results +114% Conversion Rate +32% Lifetime Value +191% Revenue Per User CASE STUDIES A/B testing GIANT LOOP Unclear product differentiation was a hurdle for Giant Loop. We tackled this with strategic A/B testing, leveraging customer data from our AI reports, heatmaps, and Google Analytics. This data-driven approach pinpointed high-impact improvements. Results +330% Overall Uplift +142% Greatest Single-Test Uplift CASE STUDIES A/B testing MOON To boost this brand, we created landing pages that cater to their audience and enhanced their website by adding high-converting elements. We also conducted competitor comparisons, addressed unclear messaging, and expanded product offerings. Results +353% Overall Uplift +72% Greatest Single-Test Uplift We focus on Revenue Per User RPU tells a more profitable story, as conversion rates can sometimes increase without affecting your revenue. RPU shows you how much money you make on average from each person who interacts with your business. INPUT YOUR DATA TO SEE YOUR POTENTIAL REVENUE 🔥 TVRBO's average conversion rate increase is 21% Conversion rate % Average order value $ Monthly sessions k A/B Test Impact * +5% * +12% * +16% A/B Test Impact * +5% * +12% * +16% Extra Annual Revenue $518,400 Revenue Per User $3.60 Annual Revenue $4,320,000 $43K EXTRA Monthly Revenue Revenue Per User $3.60 Annual Revenue $4,320,000 Extra Annual Revenue $518,400 BOOK A CALL Performance-Based Pricing Model Our partnership is results-driven. We'll earn a commission off our winning tests. If no impact is made, you don't pay. REVIEWS From my perspective, TVRBO's help has had the most direct and meaningful impact on our business, and I would definitely recommend TVRBO to small business struggling to manage your website funnel. Paolo - Giant Loop We sell niche products, really, they are a niche within a niche making the customers very difficult to target. They've been great with feedback concerning the nuance of our product, and adapted quickly. They also have a great tracking and communication document that they have put together. 10/10. Erik - Robert Axle Project Before we launched Moon, we had no idea if anyone would buy our awning. In less than a year we’re a team of 6 people selling more shades than we can produce. We have a business we can count on and we wouldn’t be here without TVRBO. Henry - Moon Excellent experience all around with great communication, flexibility, and collaboration. TVRBO team really know what they’re doing and it has been a pleasure working with them. Annan - One Plus TVRBO has done an awesome job communicating and sharing the strategy and was very detailed with everything. Highly recommended. Will - Reason TVRBO is phenomenal. They are extremely knowledgeable and professional. I highly recommend them. Ryan - Talius The TVRBO team has proven themselves to be invaluable partners to EarthCruiser in expanding both our brand reach and product demand in a strategic, data-driven manner. Mary - EarthCruiser 353% Aggregated Test Uplift Moon Case Study 142% Aggregated Test Uplift Giant Loop Case Study 191% Increase in Revenue Per Visitor Spout Water Case Study 159% Aggregated Test Uplift Don’t Tell Comedy Case Study DON’T TELL COMEDY - FULL FUNNEL We designed and developed a home page for DTC and then utilized A/B testing across the entire website. Their main issues were UX/UI and user journey-related. We improved the user journey by analyzing drop-off rates, engagement rates, and events throughout the funnel. On the product page, we directed our attention mainly toward the text and messaging, as it had previously lacked branded content and urgency. On the home page, we worked on layouts, text adjustments, and element sizing to ensure it stayed optimized to the industry standards. 108% Conversion Rate 160% Revenue Before After MOONFAB - A/B TEST We developed vehicle-specific landing pages for this client to appeal to their audience's mass desires: finding innovative solutions to add to their "van life" vehicles, including vans, trucks, and SUVs. Additionally, we focused on the main website by adding high-converting elements that convey the brand's main USPs in a visually appealing and easy-to-digest way. Also, we had to understand the customers' pain points and motivations, as they were not communicated clearly on the product page. Then, we compared their product to competitors to educate on why Moon's product had a better quality/cost proposal than most brands. Finally, we increased the readability on several pages, including the product page, and increased the AOV by offering more products on the exit funnel. 353% Aggregated Test Uplift 72% Biggest Singular Test Uplift Before After Before we launched Moon, we had no idea if anyone would buy our awning. In less than a year, we’re a team of 6 people selling more shades than we can produce. We have a business we can count on and we wouldn’t be here without TVRBO. GIANT LOOP - A/B TEST For Giant Loop, we A/B tested product pages to tackle low-hanging fruit. One of the main issues was that the differentiation of product usage needed to be clearer. We ran a Customer Insight AI report, conducted a behavioral analysis with heatmap tools, and looked at other sources, such as Google Analytics, to create a solid base of customer data and feedback. We used the feedback and data to ensure our improvements would make the highest impact possible. * The subtitle helped users quickly gather important context regarding the product. * A/B testing the right text for headings and subtitles reaped long-term SEO benefits. * Testing text above the fold resulted in continuous improvement and optimization of the pages that matter most. * Strong keywords drove user engagement 142% Aggregated Test Uplift 30% Biggest Uplift singular test Before After From my perspective, TVRBO's help has had the most direct and meaningful impact on our business, and I would definitely recommend TVRBO to small business struggling to manage your website funnel. SPOUT WATER - FULL FUNNEL We designed Spout’s website and an educational pre-sale page for their product, which is new to the market. Through a full-funnel approach, we communicated the benefits of this product’s new technology to unaware audiences, speaking directly to their pain points. As we managed the pre-sale phase of this product launch, we also incorporated tiered pricing and urgency messaging to further drive sales. With feedback and customer data from Customer Insight AI Reports, behavioral analyses and heat map tools, we identified the proper way to communicate with audiences. And through our educational messaging angle on why Spout was an effective water purification solution, we were able to nearly triple the Revenue Per User. Finally, we also increased the brand’s profitability by achieving nearly 2x their initial ROAS without touching ad spend. * High-converting elements above the fold. * Social proof across the website (press mentions, testimonials, awards...). * Better value propositions and overall copy. * Increased readability. * Increased urgency with timers and messaging. * Answered FAQs based on Customer Insights AI Report throughout the pages and in the FAQ section. 114% Conversion rate 191% Revenue per user Before After DON’T TELL COMEDY - FULL FUNNEL We designed and developed a home page for DTC and then utilized A/B testing across the entire website. Their main issues were UX/UI and user journey-related. We improved the user journey by analyzing drop-off rates, engagement rates, and events throughout the funnel. On the product page, we directed our attention mainly toward the text and messaging, as it had previously lacked branded content and urgency. On the home page, we worked on layouts, text adjustments, and element sizing to ensure it stayed optimized to the industry standards. 108% Conversion Rate 160% Revenue Before After MOONFAB - A/B TEST We developed vehicle-specific landing pages for this client to appeal to their audience's mass desires: finding innovative solutions to add to their "van life" vehicles, including vans, trucks, and SUVs. Additionally, we focused on the main website by adding high-converting elements that convey the brand's main USPs in a visually appealing and easy-to-digest way. Also, we had to understand the customers' pain points and motivations, as they were not communicated clearly on the product page. Then, we compared their product to competitors to educate on why Moon's product had a better quality/cost proposal than most brands. Finally, we increased the readability on several pages, including the product page, and increased the AOV by offering more products on the exit funnel. 353% Aggregated Test Uplift 72% Biggest Singular Test Uplift Before After Before we launched Moon, we had no idea if anyone would buy our awning. In less than a year, we’re a team of 6 people selling more shades than we can produce. We have a business we can count on and we wouldn’t be here without TVRBO. GET STARTED BECOME UNSTOPPABLE BECOME UNSTOPPABLE Schedule a free, no-commitment strategy session with our team. Spots are limited. More than 300 Satisfied Clients FREQUENTLY ASKED QUESTIONS Learn more about TVRBO and the metrics we help you increase. What is TVRBO’s Performance-Based Pricing? We charge you a small retainer and base the rest on your results rather than a large set fee – meaning your success is our success. Our commission structure incentivizes us to continuously launch tests and improve your site for better results across multiple KPIs, especially your revenue growth. What is the difference between TVRBO’s Full Funnel and A/B Testing service? The A/B Testing service aims to test and refine certain customer touchpoints within the customer journey and includes analysis tools like TVRBO AI. Our Full-Funnel service is a complete digital optimization process that looks at every part of your customer journey rather than just parts of it. What is Revenue Per User (RPU)? RPU is the revenue generated by each individual user who interacts with your business rather than just those who purchase something. TVRBO focuses on this metric as it guides strategic decisions to optimize revenue generation across the entire customer journey. What is Average Order Value (AOV) and Lifetime Value (LTV)? TVRBO helps you increase the total revenue generated by a customer over their entire relationship with your business (LTV) and the average amount a customer spends on each individual purchase (AOV). Landing Pages & Full Funnel OptimizationA/B TestingTestimonials Case StudiesPartnersContact Us Follow Us © 2024 TVRBO. All rights reserved. Terms of ServiceCookies SettingsPrivacy Policy SUBSCRIBE NOW X Ready to see how you can achieve these results? Ready to see how you can achieve these results? Subscribe for exclusive insights to increase your revenue per user. Subscribe now X Thank you for subscribing! Get ready to scale your business. Thank you for subscribing! Get ready to scale your business. Made with ♥️ by OptiMonk