Introduction #
Advertising data analysis plays a crucial role in digital marketing strategies as it provides valuable insights into past campaigns and helps in shaping future ones. One common requirement in ad data analysis is the ability to filter ads based on specific time periods. In this response, we will discuss how users can find ads from a particular timeframe using AdSpyder’s text search feature.
Ready to Elevate your Marketing Strategy? #
Pointwise Information #
- Log in to your AdSpyder account and navigate to the “Ad Library” section.
- Click on “Text Search” from the menu.
- Select the desired platform (Google, Meta, YouTube, Bing, Reddit, LinkedIn, Google Product Listing Ads (PLA), Bing Product Listing Ads (PLA), Display, Amazon or Flipkart).
- Choose the type of search (Broad or Phrase) and enter your search text in the provided bar.
- After executing the search, you can filter your results using standard filters like country and date range.
In-Depth Content #
To narrow down your ad copy search results to a specific time frame, follow these steps:
1. Perform your text search as previously described.
2. Apply the ‘date range’ filter in the left sidebar menu under the “Filters” tab. This will allow you to set a custom date range for your search results.
3. By default, AdSpyder displays ad copies based on their relevance to your search query. However, you can also sort them by oldest or newest timestamps using the ‘Sort’ dropdown at the top of the page.
4. Advanced filters provide more granular control over your search results. For example, you can filter ads based on the type of call-to-action (CTA) used, ad extensions present, ad copy sentiment, and linguistic tone, among other options.
5. The Ad Details popup contains information about the ad, including country, last seen date, ad copy text, and associated search terms. This data can be useful for understanding how your competitors are targeting their audiences and optimizing your own ad campaigns.
Conclusion and Call to Action #
By following these steps, you will be able to efficiently filter AdSpyder’s extensive repository of historical ads to find those from a specific time period. Apply this knowledge to gain valuable insights into past advertising trends and improve your digital marketing strategies for the future. Stay informed about new features and best practices by exploring additional resources related to AdSpyder and digital advertising analytics.
