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<\/a><\/p>\n A cornerstone in your marketing activities is to work with the data you have. You don’t need to be a senior web analyst or a data scientist to do this. Today a Marketing Manager or CMO need to have the knowledge about key metrics and the competence to harness the power of data to transform it into ROI action for the business they market and work for.<\/p>\n Larger companies have already started working with more advanced techniques, such as Machine Learning, predictive analysis and so forth and every company, no matter how large or small, will have to improve the way and also increase the understanding of data, to be part of the future. Being data driven is now a competitive advantage and in the very near future it will be standard procedure for being able to stay within the competition for a customers attention or will to purchase.<\/p>\n Here is a simple framework that anyone can master that will help you start working with data, to turn it into insight and action. Without being complicated. 1\/ Start small and use what you got<\/strong> 2\/ Focus and ask questions<\/strong> <\/p>\n 3\/ Set aside 2 hours\/week for this<\/strong> 4\/ Implement small changes and actions<\/strong> 5\/ Do this for 3 months<\/strong>
\n<\/p>\n
\nYou probably have a website analytics software and perhaps a customer database of some sort. \u00a0Establish what you have and then how you can use this for insight for simple improvements.<\/p>\n
\nRemove the clutter of information by creating questions that are relevant to get the answers to. Such as:<\/p>\n\n
\n
\n(for more inspiration for questions, read this beginners guide to web analytics for businesses<\/a>)<\/li>\n
\nMake this part of your routine and non negotiable. Rather spend 2 hours\/week on this then emails. What activity will grant the most successful outcome for your work?<\/p>\n
\nEach week, identify 3-5 or even just one thing to change on your website, in your communication etc. And then make that change.<\/p>\n
\nthen compare before and after in terms of sales, customer satisfaction and other key metrics.<\/p>\n