This article explores the significance of data quality and timeliness in the success of marketing data attribution for businesses.Traditional approaches to collecting and processing marketing attribution data often fall short in delivering desired results, as outlined in this study's discussion of challenges.By gaining insights into attribution models and the influence of data quality on them, businesses can enhance their data capture strategies to bolster the effectiveness of [1] marketing attribution models.
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Ankush Ramprakash Gautam (2024) studied this question.
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