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My area of interest is any paid advertising with a focus on Google, marketing data analysis, conversionrate optimization, growth marketing. But machinelearning algorithms work properly only when they are trained on a properly designed data set. Tracking One of these things is properly configured tracking.
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Data integration: Connect your analytics platforms, CRM, and marketing automation tools to create a unified view of customer journeys and accurately attribute conversions. Continuous testing: Implement systematic A/B testing across campaigns to incrementally improve conversionrates and maximize the effectiveness of your marketing spend.
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For example, when a consumer sees an advertisement featuring someone enjoying a product, their mirror neurons activate, making them feel as if they are experiencing the same enjoyment. This can lead to higher conversionrates, increased brand loyalty, and a stronger overall brand presence in the market.
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Yannis Dosios: The advertising ecosystem is very complex, with an ever-growing number of channels, publishers, and formats for advertising spend. It can predict how much an advertisement resonates with a consumer and how likely it will lead to an advertiser’s desired business result.
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