Introduction #
AdSpyder is a powerful advertising analysis tool that offers various features to help users understand ad performance on multiple platforms. One of the most useful features is the Ad Library, where users can search for historical ads based on specific text or keywords. In this answer, we will focus on the Text Search functionality in the AdSpyder Ad Library and discuss how users can customize their dashboard to suit their needs.
Ready to Elevate your Marketing Strategy? #
Pointwise Information #
- AdSpyder’s Text Search feature allows users to search for historical ads based on text present in the ad copy.
- Users can select the platform of their choice (Google, Meta, Youtube, Bing, Reddit, LinkedIn, Google Product Listing Ads (PLA), Bing Product Listing Ads (PLA), Display, Amazon, and Flipkart) for their search.
- Users can choose between Broad and Phrase search types to find ad copies that are similar or contain exact phrases.
- After conducting a text-based search, users can apply filters to refine their results based on various criteria such as country, date range, title vs content, sorting order, and advanced filter options.
In-Depth Content #
The Text Search feature in AdSpyder’s Ad Library offers a comprehensive way to analyze ad performance by searching for specific keywords or phrases present in the ad copy. To use this feature effectively, users need to understand how to customize their dashboard settings to suit their requirements.
Firstly, users can choose the platform they want to search within from the given list of options. They can then decide on the type of search they wish to perform – Broad or Phrase. In a Broad search, AdSpyder will return ad copies that are similar to the searched text, while in a Phrase search, it will only show results containing the exact phrase.
Once users have conducted their search and obtained the results, they can apply filters to refine their findings further. They can filter by country and date range, select whether they want to base their search on the title or content of the ad copy, and sort the results based on various criteria such as oldest to newest, newest to oldest, or relevance. Additionally, advanced filters are available, enabling users to narrow down their search results based on specific criteria like call-to-actions (CTAs), ad extensions, sentiment analysis, linguistic tone, and more.
Users can also use the “Ad Details” option when hovering over any particular ad copy result to access additional information about that ad. This includes details such as the ad copy title and content, country of origin, last seen date, and search terms associated with the ad copy.
Conclusion and Call to Action #
In conclusion, AdSpyder’s Text Search feature in the Ad Library offers a valuable way for users to analyze ad performance by searching for specific keywords or phrases present in the ad copy. By customizing their dashboard settings, users can effectively refine their search results to gain deeper insights into ad strategies and optimize their campaigns accordingly. Start exploring the AdSpyder Ad Library today to unlock the power of data-driven ad analysis!
