Post by kmstfatema on Mar 5, 2024 9:11:24 GMT
If you deal with digital marketing activities, surely one of your prerogatives, those of your company or your client, will be to measure the effect of your promotional activities, lead generation campaigns, improvement of brand awareness, etc... Try answering this question: After you have observed and analyzed the data through Google Analytics, what do you do? I'll try to give you some options Share them with colleagues and/or clients Rejoice in secret at your successes You are disappointed because your expectations were different You turn data into information and take action Unfortunately, even in large companies, we stop at just reporting or a superficial analysis of the data without continuing from a data driven perspective.
Data can give us a lot of information, but they are useless Germany Telegram Number Data if we do not exploit them or even if we observe them passively. When we talk about data driven we mean exploiting data to improve your business. The ideal data driven cycle follows these steps: measurement reports data analysis actions/tests check improvements Failure to take action occurs for many reasons: one is afraid of relying on data rather than experience, because there is a boss who decides everything independently of the data, because one thinks that the action is too demanding or not it's clear what the data is really telling us. The data driven model is now well established and applicable in any context and project, be it small or for a multinational.
Data driven approach Booking.com has made data driven a real decision-making process to improve its business, i.e. to ensure that more people book hotels through its system. Example of data driven application: Booking.com Another thing that Booking.com taught us is that improvement is a continuous process and can also happen through small interventions and tests without fear of making mistakes, exploiting failures as a source of knowledge to improve.
Data can give us a lot of information, but they are useless Germany Telegram Number Data if we do not exploit them or even if we observe them passively. When we talk about data driven we mean exploiting data to improve your business. The ideal data driven cycle follows these steps: measurement reports data analysis actions/tests check improvements Failure to take action occurs for many reasons: one is afraid of relying on data rather than experience, because there is a boss who decides everything independently of the data, because one thinks that the action is too demanding or not it's clear what the data is really telling us. The data driven model is now well established and applicable in any context and project, be it small or for a multinational.
Data driven approach Booking.com has made data driven a real decision-making process to improve its business, i.e. to ensure that more people book hotels through its system. Example of data driven application: Booking.com Another thing that Booking.com taught us is that improvement is a continuous process and can also happen through small interventions and tests without fear of making mistakes, exploiting failures as a source of knowledge to improve.