Programmatic marketing overlaps with the following concepts:

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The evolution of programmatic marketing has allowed marketers to focus on strategy while leaving the work to algorithms.
Practical application
Campaign automation
Companies use DSP platforms to manage advertising campaigns. For example, a retailer can launch a sale promotion and see the first results in a few minutes.
Dynamic retargeting
Programmatic marketing helps bring users back to the site. If a customer has added a japan phone number list product to the cart but has not completed the purchase, the algorithm will show them a banner with a reminder or a discount offer.
Budget optimization
Algorithms automatically redistribute budgets between campaigns to ensure the best results. For example, if one ad generates more clicks, the platform allocates more funds to it.
Relationship with other terms
Big Data. Using big data is the basis for analyzing user behavior.
Artificial Intelligence: AI improves programmatic marketing algorithms, making them more efficient.
Contextual advertising. Although it is not fully automated, many elements use principles of the programmatic approach.
These relationships allow you to create comprehensive advertising strategies.
Criticism and expert opinions
Difficulties of implementation