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<HTML>  <HEAD>    <!--SCRIPT LANGUAGE="JavaScript" SRC="http://a1835.g.akamai.net/f/1835/276/3h/www.netlibrary.com/include/js/dictionary_library.js"></SCRIPT>    <SCRIPT LANGUAGE="JavaScript">      if (!opener){document.onkeyup=parent.turnBookPage;}    </SCRIPT!-->    <META HTTP-EQUIV="Cache-Control" CONTENT="no-cache">    <META HTTP-EQUIV="Pragma" CONTENT="no-cache">    <META HTTP-EQUIV="Expires" CONTENT="-1"><META http-equiv="Content-Type" content="text/html; charset=windows-1252"><SCRIPT>var PrevPage="Page_232";var NextPage="Page_234";var CurPage="Page_233";var PageOrder="242";</SCRIPT>  <TITLE>Document</TITLE>  </HEAD>  <BODY BGCOLOR="#FFFFFF"><CENTER><TABLE BORDER=0 WIDTH=100% CELLPADDING=0><TR><TD ALIGN=CENTER>  <TABLE BORDER=0 CELLPADDING=2 CELLSPACING=0 WIDTH=100%>  <TR>  <TD ALIGN=LEFT><A HREF='Page_232.html'>Previous</A></TD>  <TD ALIGN=RIGHT><A HREF='Page_234.html'>Next</A></TD>  </TR>  </TABLE></TD></TR><TR><TD ALIGN=LEFT><P><A NAME='JUMPDEST_Page_233'/><A NAME='{804}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0 WIDTH='100%'><TR><TD ALIGN=RIGHT><FONT FACE='Times New Roman, Times, Serif' SIZE=2 COLOR=#FF0000>Page 233</FONT></TD></TR></TABLE><A NAME='{805}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3><B><I>CACI (ACORN)</I></B></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{806}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>CACI's ACORN neighborhood segmentation system is one of the oldest consumer classification systems. ACORN segments consumers according to ZIP code; thus, if your site is capturing this information in your forms you can use it. For example, suppose you're an electronic retailer of snow boards, and you are looking to expand and grow your online sales. One of the best ways to find new customers is to determine the makeup of your current website visitors and customers and then find others that are similar. Using ACORN to analyze your current website customer base, you may find that a large percentage of your online customers are &quot;Twentysomethings&quot; and &quot;Young Frequent Movers,&quot; two of ACORN's 43 clusters, or neighborhood segments.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{807}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>With this information in hand, you can now seek out other web visitors with ZIP codes with a high percentage concentration from these two clusters. By narrowing your selection of possible customers in this manner, you can now concentrate and focus your incentives or offers to these visitors and shoppers. You can position your ads or banner in websites known to be frequented by these two market clusters. For example, &quot;Twentysomething&quot; consumers are the second ranked market for fast food, while &quot;Young Frequent Movers&quot; are the top ranked market for pet ownership. Armed with this intelligence you may want to position your banner with search engines when keywords such as &quot;dog training'' or &quot;pizza&quot; are entered.</FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{808}'/><TABLE BORDER=0 CELLSPACING=0 CELLPADDING=0><TR>  <TD ROWSPAN=5></TD>  <TD COLSPAN=3 HEIGHT=12></TD>  <TD ROWSPAN=5></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR><TD></TD>  <TD><FONT FACE='Times New Roman, Times, Serif' SIZE=3>ACORN's neighborhood segments are broken up into 43 clusters, which are collected in 9 general categories (groups). The following are some of their key traits:</FONT><FONT FACE='Times New Roman, Times, Serif' SIZE=3 COLOR=#FFFF00><!-- break --></FONT></TD><TD></TD></TR><TR>  <TD COLSPAN=3></TD></TR><TR>  <TD COLSPAN=3 HEIGHT=1></TD></TR></TABLE><A NAME='{809}'/><TABLE CELLPADDING=0 CELLSPACING=0 BORDER=0 WIDTH='100%'><TR><TD HEIGHT=12></TD></TR><TR><TD><TABLE CELLSPACING=0 WIDTH=626 CELLPADDING=5><TR><TD COLSPAN=2 WIDTH=626 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2><B>GROUP 1: AFFLUENT FAMILIES</B></FONT></TD></TR><TR><TD WIDTH=163 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>1A Top One Percent</FONT></TD><TD WIDTH=463 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>These are the wealthiest neighborhoods in the United States. This highly educated type is the top-ranked group for investments, drinking wine, and ordering by phone, a key indicator they are also likely to buy via the Web from such sites like Virtual Vineyards <I>virtualvin.com.</I></FONT></TD></TR><TR><TD WIDTH=163 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>1B Wealthy Seaboard Suburbs</FONT></TD><TD WIDTH=463 VALIGN=TOP><FONT FACE='Times New Roman, Times, Serif' SIZE=2>This type is located along the eastern seaboard and in California. They rank among the highest for auto club memberships and travel extensively, a key indicator for travel-related websites like <I>travelocity.com.</I></FONT></TD></TR></TABLE></TD></TR></TABLE><BR><A NAME='{80A}'/></FORM></P></TD></TR></TABLE><P><FONT SIZE=0 COLOR=WHITE></CENTER><A NAME="bottom">&nbsp;</A><!-- netLibrary.com Copyright Notice -->  </BODY></HTML>

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