Medusa

The Role Of Data Driven Decisions

<p style&equals;"text-align&colon; justify&semi;">Whether they like it or not &&num;8211&semi; or whether they know it or not &&num;8211&semi; most companies in most industries are in the data business&period; If a business&&num;8217&semi;s efforts go toward marketing&comma; data should be driving their decision-making process&period; Every category of data &&num;8211&semi; including internal data&comma; external data&comma; finite data and big data &&num;8211&semi; should be utilized when making decisions&period; Why&quest; Research shows that businesses that make data-driven decisions are more productive and profitable than their counterparts that do not&period;<&sol;p>&NewLine;<h4 style&equals;"text-align&colon; justify&semi;"><b>&&num;8216&semi;Marketing is not an Art Form&&num;8217&semi;<&sol;b><&sol;h4>&NewLine;<p style&equals;"text-align&colon; justify&semi;">In an expert interview with &&num;8220&semi;Mitch Lapides on the Importance of Data Driven Decisions&comma;&&num;8221&semi; the interviewee stated that &&num;8220&semi;marketing is not an art form&period;&&num;8221&semi; The point the expert was trying to make is that marketing comes down to testing&comma; and your testing can only be as good as your data&period; Gathering as much information as possible on customers&comma; sorting&comma; analyzing and testing that data is not an art form&comma; it is science&period; The science of data testing should drive decisions&period;<&sol;p>&NewLine;<h4 style&equals;"text-align&colon; justify&semi;"><b>Moving Toward Automation<&sol;b><&sol;h4>&NewLine;<p style&equals;"text-align&colon; justify&semi;">The single best way for businesses &&num;8211&semi; especially small businesses &&num;8211&semi; to save critical time and money is to automate every process that doesn&&num;8217&semi;t specifically require a human touch&period; Accurately and efficiently automating any given process is&comma; by itself&comma; a data-driven decision&period; Automation requires a fresh supply of accurate&comma; up-to-date information gathered from every source&comma; including CRM systems&comma; A&sol;B tests&comma; confirmation page input and mailing list feedback&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">In many cases&comma; automation comes down to identifying critical points in the customer journey &&num;8211&semi; especially points that signaled the end of a unique purchasing journey&period; Identifying why and when customers abandon shopping carts&comma; for example&comma; can help the client business can then work on several strategies&comma; including win-back campaigns&comma; renewal campaigns and replenishment campaigns&period;<&sol;p>&NewLine;<h4 style&equals;"text-align&colon; justify&semi;"><b>Don&&num;8217&semi;t Confuse Analytics with Experimentation<&sol;b><&sol;h4>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Whether the data comes from surveys&comma; outside research or BI software&comma; it is critical to remember that analytics is data that provides insight and information on what is currently going on in a business&period; Data experimentation&comma; on the other hand&comma; is the testing of different approaches to different audiences to ascertain the possible variations between potential outcomes&period;<&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;"><i>The mountains of data your business stores are only worthwhile if you put it to use&period;<&sol;i><&sol;p>&NewLine;<p style&equals;"text-align&colon; justify&semi;">Data is the driving force behind marketing services and strategies &&num;8211&semi; but it also serves as the basis for decision-making processes in the most successful businesses&period; Companies that use data as the foundation for decisions are better at automation and get better results from both analytics and experimentation than those that do not&period;<&sol;p>&NewLine;

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