Introduction #
AdSpyder is an essential tool for digital marketers and advertisers seeking insights into ad copies and their performance across various platforms. In this response, we will guide you through the process of accessing AdSpyder’s Keyword Analysis feature. This feature allows users to search for historical ads based on specific keywords used in the ad copy content.
Pointwise Information #
- Access AdSpyder by visiting its website and logging into your account.
- Navigate to the “Ad Library” section in the features menu on the left of the screen.
- Click on the “Keyword Search” option in the submenu.
- Choose the platform for which you want to search (Google, Meta, YouTube, Bing, Reddit, LinkedIn, Google Product Listing Ads (PLA), Bing Product Listing Ads (PLA), Display, Amazon, or Flipkart).
- Select the type of keyword search you wish to perform: Broad or Phrase.
- Enter the keywords you want to base your search on in the search bar.
- Click the search button to initiate the search.
In-Depth Content #
Once you have entered your keywords and selected your preferred platform, AdSpyder will return a list of ad copies that match your search query. You can then use filters to narrow down your results based on various parameters such as country, date range, target audience, sentiment, etc.
Additionally, the advanced filters enable you to further refine your search by selecting specific call-to-actions, ad extensions, linguistic tones, and other factors that can impact ad performance. By using these advanced filters, you can gain a deeper understanding of how keywords are used in successful ad copies across different platforms and industries.
Conclusion and Call to Action #
The Keyword Analysis tool in AdSpyder is a valuable resource for digital marketers and advertisers seeking to improve their ad copy performance by identifying trends and insights from historical data. By following the steps outlined above, you can easily access this feature and begin your exploration of keyword usage in effective ad copies.