How do I report discrepancies in the ad distribution by platform data?

Introduction #

Discrepancies in ad distribution data across various platforms can be a source of concern for marketers and advertisers. Understanding how to report such discrepancies effectively can help ensure accurate campaign performance analysis and optimize ad spend. In this response, we will discuss the process of reporting discrepancies in ad distribution by platform data using AdSpyder’s Text Search feature.

Pointwise Information #

  • Log in to your AdSpyder account and navigate to the “Ad Library” section.
  • Click on the “Text Search” option under the “Features” menu.
  • Select the platform where you noticed the discrepancy (e.g., Google, Meta, YouTube, Bing, etc.) from the dropdown.
  • Choose your search type – broad or phrase – and enter the text that represents the ad content or keywords related to the discrepancy in the search bar.
  • Click on the “Search” button to view the ad copies relevant to your query.
  • Use filters to narrow down the results based on country, date range, title, content, etc.

In-Depth Content #

Once you have performed a text search and filtered the results as required, examine the ad copies in detail to identify any discrepancies between the reported data and the actual ad distribution. For instance, check the destination URLs, ad copy titles, and contents against your records or expectations. If you find a significant difference, gather evidence by collecting screenshots or URLs of the ads as proof.

To report the discrepancy, use AdSpyder’s “Ad Details” feature. Access it by clicking on the “Ad Details” option that appears when hovering over an ad copy result. In the popup window, make notes about the discrepancy and attach any relevant evidence, such as screenshots or URLs. Save your notes for future reference and consider sharing them with AdSpyder’s support team if necessary.

You can also use advanced filters in the Text Search feature to help identify discrepancies more efficiently. For example, you can filter by ad copy sentiment or CTAs used to narrow down the results and focus on specific areas of concern.

Conclusion and Call to Action #

By following these steps, you can effectively report discrepancies in ad distribution data for various platforms using AdSpyder’s Text Search feature. Regularly reviewing ad distribution data and reporting any discrepancies can help maintain accurate campaign performance analysis and optimize ad spend. Keep exploring AdSpyder’s features to uncover more insights and improvements for your advertising efforts.