Introduction #
In the realm of digital marketing, understanding the performance of tracked keywords over time is an essential aspect of optimizing ad campaigns. AdSpyder, a powerful tool, offers various features to help users analyze their ad data effectively. In this response, we will discuss how to view day-hour cohort maps for tracked keywords using AdSpyder’s Text Search feature.
Ready to Elevate your Marketing Strategy? #
Pointwise Information #
- Log in to your AdSpyder account.
- Navigate to the “Ad Library” section from the features menu on the left.
- Click on “Text Search” option in the menu.
- Select a platform (Google, Meta, Youtube, Bing, Reddit, LinkedIn, Google Product Listing Ads (PLA), Bing Product Listing Ads (PLA), Display, Amazon, or Flipkart) from the dropdown.
- Choose between “Broad” and “Phrase” search types.
- Type your desired keyword in the search bar.
- Click on the search button.
- Use filters to refine your ad copy results based on country, date range, title, content, etc.
- Look for the “Day-hour Cohort Map” visualization tool within the filter options.
- Apply desired filters and click “Apply Filters” to display the day-hour cohort map for your tracked keyword.
In-Depth Content #
To delve deeper into this topic, let’s discuss each step in detail. After logging into your AdSpyder account, navigate to the “Ad Library” section using the left-hand menu. Inside the Ad Library, click on the “Text Search” option, which will present you with a feature screen having a search bar and platform selection dropdown.
Select your desired platform (Google, Meta, Youtube, Bing, Reddit, LinkedIn, Google Product Listing Ads (PLA), Bing Product Listing Ads (PLA), Display, Amazon, or Flipkart) from the dropdown. Then choose between “Broad” and “Phrase” search types based on your research objectives. For instance, Broad search will return ad copies containing words similar to your keyword, while Phrase search will focus specifically on ad copies with the exact phrase you’ve searched for.
Now type your desired keyword into the search bar and click the search button. AdSpyder will then display a list of relevant ad copies matching your keyword and search criteria. Once the results are presented, use filters to refine them based on your specific needs. For example, apply country and date range filters to focus on a particular region or time period. Additionally, you can filter by title or content, as well as advanced options like Call to Actions, Ad extensions, and more.
Lastly, look for the “Day-hour Cohort Map” visualization tool within the filter options. Apply your desired filters and click on “Apply Filters” to display the day-hour cohort map for your tracked keyword. This graphical representation displays the performance of your ad copies throughout a given time frame, enabling you to identify trends and optimize your campaign effectively.
Conclusion and Call to Action #
In conclusion, AdSpyder’s Text Search feature with its day-hour cohort map visualization tool provides valuable insights into the performance of tracked keywords over time. By following the steps outlined above, you can use this information to optimize your ad campaigns and enhance their overall effectiveness. We encourage you to explore further by experimenting with different search types, platforms, and filters to deepen your understanding of AdSpyder’s capabilities. For more resources on using AdSpyder, visit our documentation or contact our support team for assistance.
