See an example of what you can do: google ads dashbooard how to make data-driven marketing decisions? The big secret of marketing analytics is transforming data into intelligence. They should help companies make better decisions for their future. This is the premise of data-driven marketing. All decisions involve collecting and analyzing data about campaigns, audiences and competitors, so that the company can perceive trends and define its paths with more precision and security.
Let's say, for example, that your goal is to increase brand cameroon whatsapp data awareness and one of your kpis is the percentage of new visitors. Then, when analyzing the data, you can segment this percentage by city, by media or by campaign to extract some insights. You may notice, for example, that a certain region of the country is bringing many new visitors in the last year.
, the company can investigate the reasons and intensify branding efforts there. Note that data-driven marketing decisions are focused on the strategy's objectives and kpis. They never get out of sight, as they are the ones who direct the company to success. Who should do marketing analytics? Is marketing analytics just a concern for company managers? Or marketing managers? After all, who should carry out this activity? Ideally, data analysis should not be exclusive to one professional, nor should it be limited to one area of the company.
Then, with this information in hand
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