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	<title>Game g = new Game(); &#187; web20</title>
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	<description>Nerdy thoughts</description>
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		<title>&#8220;User retention is key&#8221; AKA &#8220;product vs. service mentality&#8221;</title>
		<link>http://thomasschweitzer.com/2009/07/22/user-retention-is-key-aka-product-vs-service-mentality/</link>
		<comments>http://thomasschweitzer.com/2009/07/22/user-retention-is-key-aka-product-vs-service-mentality/#comments</comments>
		<pubDate>Wed, 22 Jul 2009 08:20:58 +0000</pubDate>
		<dc:creator>tom</dc:creator>
				<category><![CDATA[web]]></category>
		<category><![CDATA[work]]></category>
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		<category><![CDATA[marketing]]></category>
		<category><![CDATA[retention]]></category>
		<category><![CDATA[web20]]></category>

		<guid isPermaLink="false">http://thomasschweitzer.com/?p=283</guid>
		<description><![CDATA[Andrew Chen&#8217;s blog is always a very clever, interesting read.
In one of his latests posts he cites a discussion with Matt Humphrey of Bumba Labs, reminding that seemingly small differences in retention rates have a big impact, actually:
Having month-to-month user retention of 92%, 96%, and 97.3% will get you on average 1, 2, and 3 [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://andrewchenblog.com/2009/06/30/matt-humphrey-of-bumba-labs-on-user-retention-curves/">Andrew Chen&#8217;s blog</a> is always a very clever, interesting read.</p>
<p>In one of his latests posts he cites a discussion with Matt Humphrey of Bumba Labs, <a href="http://andrewchenblog.com/2009/06/30/matt-humphrey-of-bumba-labs-on-user-retention-curves/">reminding that seemingly small differences in retention rates have a big impact</a>, actually:</p>
<blockquote><p>Having month-to-month user retention of 92%, 96%, and 97.3% will get you on average 1, 2, and 3 user-years respectively per user that ever signs up on the site.</p>
<p>Okay, in English? If each month you lose 8% of your existing users (92% retention) from the previous month, the average use will stay for 12 months. If you can hold just 4% more of your users (96% retention), then they will stick around for 2 years. If you can hold only 1.3% more than that (97.3% retention), they will be in for 3 years.</p></blockquote>
<p>The multiplicative effects are just enormous over time. And, 90%+ seems a rather unrealistically high number.</p>
<blockquote><p><strong>Retention-focused features are very powerful</strong><br />
The point of all of the above is that retention-focused features are very powerful because they let you create dramatic improvements in all the important metrics, across the board – be it pageviews, total time usage, revenue, etc.</p></blockquote>
<p>In real life, it seems to me that this mindset to focus on features that increase user retention is difficult to grasp for people coming from a retail history. They tend to follow a &#8220;big bang&#8221; mentality in terms of feature scope for launch, marketing, launch dates, etc., rather than</p>
<blockquote><p>[...] put a tremendous amount of time into a whole host of retention-driven features like:</p>
<ul>
<li> A great product and value proposition</li>
<li>Targeted notifications</li>
<li>Fresh news and content on every return</li>
<li>Desktop app-integration (which has a much lower rate of uninstall)</li>
<li>The number of friends on the site (the more that are there, the more notifications can be generated)</li>
</ul>
<p>All of the above contribute meaningfully to this user retention number.</p></blockquote>



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