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	<title>Predictive Analytics Blog &#187; twitter reach</title>
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		<title>Using The “Linest” Function in Excel For Faster Twitter Potential Reach Analysis</title>
		<link>http://vaultanalytics.com/marketinganalytics/2009/12/using-the-%e2%80%9clinest%e2%80%9d-function-in-excel-for-faster-twitter-potential-reach-analysis/</link>
		<comments>http://vaultanalytics.com/marketinganalytics/2009/12/using-the-%e2%80%9clinest%e2%80%9d-function-in-excel-for-faster-twitter-potential-reach-analysis/#comments</comments>
		<pubDate>Mon, 07 Dec 2009 16:15:40 +0000</pubDate>
		<dc:creator>Curtis Seare</dc:creator>
				<category><![CDATA[Excel]]></category>
		<category><![CDATA[twitter analysis]]></category>
		<category><![CDATA[twitter reach]]></category>

		<guid isPermaLink="false">http://vaultanalytics.com/marketinganalytics/?p=345</guid>
		<description><![CDATA[Last time we looked at a way to put together an analysis for the potential reach of a tweet; today we’ll look at a method of using the ‘linest’ function in excel to make the analysis faster.  When you go to Twellow to look up the users that would be interested in your business, [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://vaultanalytics.com/marketinganalytics/2009/12/potential-reach-of-a-tweet/">Last time</a> we looked at a way to put together an analysis for the potential reach of a tweet; today we’ll look at a method of using the ‘linest’ function in excel to make the analysis faster.  When you go to <a href="http://www.twellow.com/" target="_blank">Twellow</a> to look up the users that would be interested in your business, it will give you a long list of profiles.  The only way to get the data into Excel is to type it in manually, so if we want the entire list of sometimes thousands of users, we need a way to cut back on the amount of time it takes.  Here’s the method in a few steps:</p>
<p>1.	List manually the first 10 to 20 names; you want to be exact with the users that have a substantial amount of followers.</p>
<p>2.	After the really large users are entered in, you’ll notice that the number of users doesn’t change drastically from, say, user 25 to user 40.  So, we’ll just enter in the two users and use a regression to fill in the rest.  This makes our work faster, and we’re still close enough on the numbers for our analysis.  How to do this is shown below.</p>
<div id="attachment_346" class="wp-caption aligncenter" style="width: 110px"><img src="http://vaultanalytics.com/marketinganalytics/wp-content/uploads/2009/12/tweetreachlinest1.png" alt="Set up for the regression" title="tweetreachlinest1" width="100" height="294" class="size-full wp-image-346" /><p class="wp-caption-text">Set up for the regression</p></div>
<p>&nbsp;</p>
<div id="attachment_347" class="wp-caption aligncenter" style="width: 510px"><img src="http://vaultanalytics.com/marketinganalytics/wp-content/uploads/2009/12/tweetreachlinest2.png" alt="Setting up the linest function" title="tweetreachlinest2" width="500" height="393" class="size-full wp-image-347" /><p class="wp-caption-text">Setting up the linest function</p></div>
<p>Remember to important things when setting up the &#8216;linest&#8217; function:<br />
1. Make sure an highlight two adjacent cells before typing it in.<br />
2. After entering the formula, hit ctrl+shift+enter</p>
<p>&nbsp;</p>
<div id="attachment_348" class="wp-caption aligncenter" style="width: 310px"><img src="http://vaultanalytics.com/marketinganalytics/wp-content/uploads/2009/12/tweetreachlinest3.png" alt="Filling in the data" title="tweetreachlinest3" width="300" height="331" class="size-full wp-image-348" /><p class="wp-caption-text">Filling in the data</p></div>
<p>Repeat this as many times as necessary to get the complete data set.  As you keep going, you can increase the intervals from 15 to 50 to 100, etc.  </p>
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		<title>Potential Reach of a Tweet</title>
		<link>http://vaultanalytics.com/marketinganalytics/2009/12/potential-reach-of-a-tweet/</link>
		<comments>http://vaultanalytics.com/marketinganalytics/2009/12/potential-reach-of-a-tweet/#comments</comments>
		<pubDate>Sat, 05 Dec 2009 09:39:54 +0000</pubDate>
		<dc:creator>Curtis Seare</dc:creator>
				<category><![CDATA[Twitter Analytics]]></category>
		<category><![CDATA[twitter reach]]></category>

		<guid isPermaLink="false">http://vaultanalytics.com/marketinganalytics/?p=336</guid>
		<description><![CDATA[How do you show the online marketing opportunity for a new business venture?  One piece of the online space that you will want to show is Twitter.  Here’s an attempt at gauging how much reach your tweets would have.
To start the analysis, head over to Twellow and search for users that would be [...]]]></description>
			<content:encoded><![CDATA[<p>How do you show the online marketing opportunity for a new business venture?  One piece of the online space that you will want to show is Twitter.  Here’s an attempt at gauging how much reach your tweets would have.</p>
<p>To start the analysis, head over to <a href="http://www.twellow.com/" target="_blank">Twellow</a> and search for users that would be interested in the new business.  Twellow gives you a long list of people that could be interested, and from that list we can start creating a spreadsheet with the user name and the number of followers they have.  </p>
<p>The rest of this analysis assumes we get each user to tweet once about our new business.  The question is, how many people will be aware of us as a result?  The completed sheet below answers that question.</p>
<p><a href="http://vaultanalytics.com/marketinganalytics/wp-content/uploads/2009/12/tweet-reach.png" title="" rel="lightbox"><div id="attachment_196" class="wp-caption aligncenter" style="width: 310px"><p class="wp-caption-text">(Click to Enlarge)</p></div><img src="http://vaultanalytics.com/marketinganalytics/wp-content/uploads/2009/12/tweet-reach.png" alt="Tweet Reach" title="Tweet Reach" width="500" height="186" class="aligncenter size-full wp-image-337" /></a></p>
<p>&nbsp;</p>
<p>The <strong>% Views</strong> is our best estimate of how many of the user&#8217;s followers will actually read the tweet.  </p>
<p>The <strong>Awareness</strong> is the number of followers the user has multiplied by the % views, giving us how many people actually read the tweet.</p>
<p>Then we get into the retweets.  The <strong>% that Retweet</strong> is the percentage of aware people that we think will be interested enough to retweet.</p>
<p>The <strong># of retweets</strong> is the % that retweet multiplied by the awareness</p>
<p>The <strong>average # of followers</strong> is the average of each of the users followers on the list, to give us the number of followers the average user has.</p>
<p>Multiply the number of retweets and the average # of followers, and you get the potential number of people that can be reached from the retweeting, or <strong>Potential Reach</strong>.</p>
<p>Multiply this by the % views, and you get the <strong>Awareness</strong> reached by the retweeting.</p>
<p>Finally, add up both awareness columns to get the <strong>Total Awareness</strong>.  This number is an estimate of the number of people that will be aware of your business as a result of that user tweeting about it once.</p>
<p>Obviously there are many assumptions made here, but it gives you a good idea at just how powerful a tweet could be to increase awareness of your product or service.</p>
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