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	<title>MarketingProfs Daily Fix Blog &#187; probability</title>
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		<title>Predicting the Future? Anchor&#8217;s Aweigh!</title>
		<link>http://www.mpdailyfix.com/predicting-the-future-anchors-aweigh/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=predicting-the-future-anchors-aweigh</link>
		<comments>http://www.mpdailyfix.com/predicting-the-future-anchors-aweigh/#comments</comments>
		<pubDate>Mon, 09 Feb 2009 12:07:46 +0000</pubDate>
		<dc:creator>Paul Barsch</dc:creator>
				<category><![CDATA[Featured Posts]]></category>
		<category><![CDATA[Marketing Analytics and Modeling]]></category>
		<category><![CDATA[Marketing Strategy]]></category>
		<category><![CDATA[analytics]]></category>
		<category><![CDATA[anchoring]]></category>
		<category><![CDATA[decision making]]></category>
		<category><![CDATA[forecasting]]></category>
		<category><![CDATA[gut decision making]]></category>
		<category><![CDATA[probability]]></category>

		<guid isPermaLink="false">http://www.mpdailyfix.com/predicting-the-future-anchors-aweigh/</guid>
		<description><![CDATA[Marketers of all stripes are often tasked with forecasting&#8211;sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals. However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions.  While no forecasting technique is perfect, predictions can be [...]]]></description>
			<content:encoded><![CDATA[<p>Marketers of all stripes are often tasked with forecasting&ndash;sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals. However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions.  While no forecasting technique is perfect, predictions can be drastically improved through a simple technique: pulling your anchor.</p>
<p><span id="more-20384"></span><br />
Let&#8217;s face it, the ability to peer around the corner and forecast the future (tomorrow, much less next month) is one of the biggest challenges for global business executives. If you have made forecasting mistakes in the past, take heart, you&#8217;re not alone.  You can however, learn to forecast a bit better by avoiding a common mistake&ndash;<a href="http://www.sciencedaily.com/articles/a/anchoring.htm">anchoring</a>.</p>
<p>The concept of anchoring in decision making was made famous by psychologists <a href="http://en.wikipedia.org/wiki/Daniel_Kahneman">Daniel Kahneman </a>and <a href="http://en.wikipedia.org/wiki/Amos_Tversky">Amos Tversky</a>.  In a well known <a href="http://www.hss.caltech.edu/~camerer/Ec101/JudgementUncertainty.pdf">experiment</a>, they asked a group of people to estimate the percentage of African countries in the United Nations.</p>
<p>Before each person guessed, they were asked to spin a wheel with the numbers 0 to 100 clearly labeled.  According to a<a href="http://money.cnn.com/magazines/moneymag/moneymag_archive/2001/05/01/301274/index.htm"> Money magazine </a>article, &#8220;When the wheel landed on a low number, people tended to guess that African nations made up a small percentage of UN members; when it landed on a high number, they guessed that Africa accounted for much more of the UN&#8217;s membership.&#8221;</p>
<p>A recent <a href="http://online.wsj.com/article/SB123275782424412007.html">Wall Street Journal </a>article also highlights the problems of anchoring.  The article mentions that in December 2008, Barron&#8217;s asked a dozen experts to forecast the level of the Standard and Poor&#8217;s 500 stock index at the end of 2009.<br />
Despite a tumultuous 2008, where the stock market would regularly jump 500 points in a single day, not one expert predicted a down year for 2009. And while 2009 still has yet to play out, each of the twelve experts predicted a 5-38% increase with a median of 13%!</p>
<p>The author of the WSJ article, Jason Zweig, believes the stock picking experts are guilty of anchoring. He says we tend to over-extrapolate in forecasting when we base our decisions mostly on what happened in the past. Zweig writes, &#8220;(With) the fat five years from 2003-2007, when stocks shot up by an annual average of 12.8%, who expected 2008 to be a bloodbath?&#8221;</p>
<p>Who indeed? With the exception of <a href="http://en.wikipedia.org/wiki/Nouriel_Roubini">Nouriel Roubini </a>and a few others, most market prognosticators missed the mark.</p>
<p>In fact, accurate forecasting can be hard&ndash;or easy. Let me explain.</p>
<p>Years ago, as a divisional manager for a regional telecommunications firm, I was responsible for presenting my annual division revenue forecasts to the company president. These forecasts were very important, as staffing decisions and budgets would be initially based on the &#8220;acceptance&#8221; of the forecasts.</p>
<p>When visiting the office of another divisional manager, I was shocked to find out he was finished with his forecasting processes&ndash;in record time. He finished quickly by taking last year&#8217;s revenue numbers and adding 10%! Adding insult to injury, his last year plus ten percent forecasts were accepted by the company president!</p>
<p>Alas, the above story would be much richer if my colleague&#8217;s exercise in anchoring ultimately cost him dearly. He was lucky&ndash;in this instance his predictions came pretty close to reality. His <a href="http://www.mpdailyfix.com/2007/10/glorifying_the_gut.html">gut decisioning </a>(or perhaps laziness) came through for him.</p>
<p>However as levels of volatility and systemic failures increase in marketplaces and economies, and wild swings become the norm&ndash;anchoring and basing forecasts on what happened last year can ultimately lead to disaster.  Need proof? Just query the terms, &#8220;investment bank&#8221; or &#8220;hedge fund&#8221; in the search field of the online <a href="http://www.wsj.com">Wall Street Journal</a>.</p>
<p>To avoid anchoring in decision making, carefully consider assumptions and take no probability off the table. Think about your &#8220;reference point&#8221; for making a decision and then consider reasons why this particular point is your anchor. Does it take into account the possibility of an extreme outcome?</p>
<p>If you think it couldn&#8217;t happen&ndash;pay special attention to that scenario. It&#8217;s pretty wild out there&ndash;anything is possible!<br />
Questions for DailyFix readers:</p>
<p>* In a tough economic environment, the penalty for poor forecasting increases. What tools and methods are you using to anticipate events and predict the future?<br />
* Author <a href="http://www.peterbernstein.com/">Peter Bernstein</a> says, &#8220;The successful businessperson is a forecaster first&ndash;all other activities follow.&#8221; Do you agree with this statement?<br />
* What &#8220;experts&#8221; via news, commentary, consulting etc, are helping to guide your decisions on the future? Are these experts getting more or less reliable?<br />
* What is the one event&ndash;if it happens in 2009&ndash;that will shake up the game board and change all the rules? Is this event on your radar screen?</p>
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		<title>Decisioning in Volatile Times&#8211;Probability, Intuition or Inaction?</title>
		<link>http://www.mpdailyfix.com/decisioning-in-volatile-timesprobability-intuition-or-inaction/?utm_source=rss&amp;utm_medium=rss&amp;utm_campaign=decisioning-in-volatile-timesprobability-intuition-or-inaction</link>
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		<pubDate>Tue, 09 Dec 2008 11:39:24 +0000</pubDate>
		<dc:creator>Paul Barsch</dc:creator>
				<category><![CDATA[Customer Behavior]]></category>
		<category><![CDATA[Featured Posts]]></category>
		<category><![CDATA[Marketing]]></category>
		<category><![CDATA[Marketing Analytics and Modeling]]></category>
		<category><![CDATA[Marketing Strategy]]></category>
		<category><![CDATA[consumer confidence]]></category>
		<category><![CDATA[decision making]]></category>
		<category><![CDATA[forecasting]]></category>
		<category><![CDATA[intuition]]></category>
		<category><![CDATA[modeling]]></category>
		<category><![CDATA[Nassim Taleb]]></category>
		<category><![CDATA[new markets]]></category>
		<category><![CDATA[new paradigm]]></category>
		<category><![CDATA[probability]]></category>
		<category><![CDATA[statistics]]></category>

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		<description><![CDATA[No doubt, we live in volatile times. The complexity, interconnectedness and intricacy of global markets is causing executives around the globe to check decisions once, twice and even delay important decisions because they cannot &#8220;peer around the corner.&#8221;  Some marketing executives are asking themselves, &#8220;What are the odds of&#8211;&#8221; to help make tough decisions. [...]]]></description>
			<content:encoded><![CDATA[<p>No doubt, we live in <a href="http://www.cboe.com/VIX/">volatile times</a>. The complexity, interconnectedness and intricacy of global markets is causing executives around the globe to check decisions once, twice and even delay important decisions because they cannot &#8220;peer around the corner.&#8221;  Some marketing executives are asking themselves, &#8220;What are the odds of&ndash;&#8221; to help make tough decisions. Others are saying, &#8220;We&#8217;re in a new paradigm,&#8221; and &#8220;the past is no longer relevant.&#8221; How are you making critical decisions?</p>
<p><span id="more-20296"></span><br />
Like it or not, important marketing decisions regarding forecasting, budgeting, hiring and resource allocation must be made for the coming year and beyond.</p>
<p>Marketing executives who sit on the sidelines and watch/wait could be missing some valuable opportunities to stake a claim in new markets, build market share, or capitalize on competitor weakness. Then again, sitting on the sidelines may be the smarter approach.</p>
<p>A common form of decision making is using probability to determine potential outcomes. In a casino&ndash;with games of chance&ndash;it&#8217;s pretty easy to figure out the &#8220;odds&#8221; of beating the house. Outside of the casino, life gets a little messier. We can however, use statistical analysis based on historical data to help us divine the probability of certain events happening (assuming a normal distribution and independence).</p>
<p>In an <a href="http://www.edge.org/3rd_culture/taleb08/taleb08_index.html">Edge</a> essay, <a href="http://www.fooledbyrandomness.com">Dr. Nicholas Nassim Taleb</a> tells us, &#8220;Statistical and applied probabilistic knowledge is the core of knowledge. Statistics is what tells you if something is true, false or merely anecdotal. It is the logic of science, and the instrument of risk taking.&#8221;</p>
<p>&#8220;You cannot be a modern intellectual and not think probabilistically,&#8221; Dr. Taleb declares. But he also counsels us that there are many instances where &#8220;statistics don&#8217;t work&ndash;where stats are unreliable, where your knowledge is no longer valid.&#8221;  And judging from the volatility of events in 2008, we just might be in new and uncharted territory where the usual tools and methods just plain don&#8217;t work.</p>
<p>If you believe 2008 has ushered in a new paradigm where the old rules no longer apply, one is essentially left with two choices:  Pattern recognition of a different kind&ndash;(intuition) and thereby making decisions &#8220;by the gut&#8221;, or inaction&ndash;doing nothing, at least for now.</p>
<p>Is gut decisioning the best approach to plan for 2009? Gary Klein, author of &#8220;<a href="http://www.amazon.com/Power-Intuition-Feelings-Better-Decisions/dp/0385502893">The Power of Intuition</a>&#8221; says, &#8220;Analysis doesn&#8217;t work well in challenging situations where information is scarce, time is short, and stakes are high.&#8221;</p>
<p>While it is hard to argue that information is scarce, time is definitely of the essence and for many companies; the stakes (<a href="http://feeds.reuters.com/~r/reuters/topNews/~3/k25WsqjFZMw/idUSTRE4AD08120081118">i.e. survival)</a> have never been higher.</p>
<p>Lastly, there&#8217;s always inaction as a completely valid alternative. Many companies are maintaining the status quo, <a href="http://www.marketwatch.com/news/story/corporations-hoarding-cash-never-before/story.aspx?guid=%7BD0C46B89-889E-447C-A7E8-C397CCA8ACDB%7D">hoarding cash</a>, letting the bodies pile up, and waiting for a better day before committing to major investments.</p>
<p>Every company is different, and every industry has their own challenges right now.  But it has been said that challenge is only one side of the coin. Turn it over, and &#8220;opportunity&#8221; might be staring back at you.</p>
<p>Key questions:<br />
* Given the events of 2008, are we in a new paradigm? If so, do the old rules no longer apply?<br />
* <a href="http://www.market-harmonics.com/free-charts/sentiment/consumer_confidence.htm">Consumer confidence</a> is at levels unseen since the early 1990s. Is the marketplace, (both B2C and B2B) overly pessimistic?<br />
* In your forecasting models (or mental processes), are you &#8220;weighting the events of 2008&#8243; more heavily than previous years?<br />
* How closely are you monitoring daily/weekly events to determine whether to ramp up/down your spending plans for next year?  What &#8220;key event&#8221; are you seeking that will be a major variable in your decision making?</p>
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