/home/leansigm/public_html/components/com_easyblog/services<title>Helping B2Bs by using Data in Predictive Analytics</title>
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	<h1>Helping B2Bs by using Data in Predictive Analytics</h1>
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			<span class="post-date">Jun 03</span>

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				Posted by <a href="/forum/user/1075-joy-saha">JOY SAHA</a>				in <a href="/resources/sigmaway-blog/analytics">Analytics</a>			</span>
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	<p>Predictive marketing uses machine learning to deliver more accurate insights to encourage sales. The primary objectives are measuring customer behavior and audience insights, campaign effectiveness, calculating and improving customer lifetime value and customer retention. Predictive analysis can achieve these goals by learning from patterns within the data that are derived from customer touch points. Read more at:&nbsp;<a style="font-size: 12.16px; line-height: 1.3em;" href="http://www.emarketer.com/Article/Using-Data-Predictive-Analytics-Helps-B2Bs-Throughout-Funnel/1013868" target="_blank">http://www.emarketer.com/Article/Using-Data-Predictive-Analytics-Helps-B2Bs-Throughout-Funnel/1013868</a></p>
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		<a href="/blog/tags/predictive-analytics-1">
		<span itemprop="keywords">predictive analytics</span>
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		<a href="/blog/tags/customer-retention">
		<span itemprop="keywords">customer retention</span>
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		<a href="/blog/tags/customer-behavior">
		<span itemprop="keywords">customer behavior</span>
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		<a href="/blog/tags/improving-customer-lifetime-value">
		<span itemprop="keywords">improving customer lifetime value</span>
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