Decision-making based on small samples

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For websites with lower traffic, marketers using attribution data may not have statistically significant data sets from which to draw accurate correlations for future campaigns.

This leads to erroneous assumptions and the georgia phone number data inability to repeat previous success.

Lack of compliance with monitoring
If your attribution models rely on offline activities, then you may require manual data import or proper recording of sales activities. There is always some degree of inconsistency in recording activities (such as calls, meetings, or emails). This leads to biased attribution models.

Problems with attribution models
Every analytics platform has a set of five or more attribution models that you can use to optimize your campaigns. Without a clear understanding of the pros and cons of each model, the person creating the attribution reports may not structure or configure them to align with your organization’s goals.

Privacy Policy
Since the adoption of GDPR, CCPA, and other privacy laws, analytics data has become increasingly unclear every year.

For organizations that rely on website visitors opting in to tracking, attribution modeling suffers due to the inability to pull tracking for every touchpoint.