An ad-analysis tool should help your team make a better decision. Start with the question your existing reports cannot answer before choosing another system.
Distinguish an overview from a test
An overview can collect files, names and results. A test also needs a clear question, suitable setup and enough data. A dashboard cannot make a weak comparison conclusive.
Describe the problem precisely. You may be unable to identify videos belonging to the same concept, revisions may be mixed together, or a clear report may never become a new brief. Those are three problems that may need different tools.
Test the data with a known ad
Choose an ad whose file, period and account figures you know. Check the tool's timezone, currency, filters and result definitions against that reference. Explain discrepancies before using its view for decisions.
Check whether a concept can contain several ad IDs without incorrect counting. A reused clip, new upload and new content variant are not necessarily the same thing. The tool should support your naming and organisation.
A hypothetical trial
Imagine the team struggles to distinguish videos about product size from videos about material. Select a small known group and tag them by purchase motivation. Then assess whether the grouped view helps formulate the next assignment.
If the system makes files easy to retrieve but mixes periods, one problem is solved and another remains. Manually inspect the basis of any automated winner suggestion. This is a hypothetical evaluation method, not a recommendation of a particular product.
Ask the campaign owner and producer to complete a practical trial task. One needs to interpret the data correctly; the other needs to identify the actual file and requested change.