Effectiveness of video content is predicted using an automated or semi-automated analysis process operating on a computer. Video content is analyzed using image and audio data processing to assign a collection of attributes to a video ad. The collection of attributes is correlated to a historical effectiveness (e.g., click-thru rate) of past video ads in the same or similar attribute space to obtain predicted ad effectiveness. Differences between the collection of attributes and historical attribute spaces of greater effectiveness may also be determined and reported in the form of suggestions for improving the effectiveness of the ad.