The thing about digital marketing campaigns is that every company has one, even if you’re not the one actively controlling it. Recent years have seen an explosion in data, meaning campaign analysis is now much more detailed than before. We guide you through what to measure, and how. While there is obviously an artistic side to developing a good marketing campaign, increasingly it is also becoming a science. The rise of big data has meant that campaigns can now be analyzed in detail, with the results informing future strategy and spend.
Campaign Performance studies are aimed at identifying recall, strengths and points for improvement both in the pre and post launch phases of your campaigns, recommending the adjustments necessary to improve the return on investments and advertising results. It is possible to conduct a qualitative phase first to achieve in-depth understanding of what the campaign transmits and the messages it conveys. This would be followed by a quantitative phase to measure the campaign’s performance.
Campaign Analysis Study can be defined as follows
Measuring the effectiveness of your advertising campaigns is crucial to maximize the engagement with your customer base, drive depth of engagement, improve customer perceptions and increase brand loyalty.
Every company, brand or agency will approach the end of a campaign differently, with some going into detail and others taking a much broader view. However whilst digital campaigns can be quite simple and straightforward, perhaps with maybe just one or two channels, others may be more complex and multifaceted. I, therefore, believe it’s always best to err on the side of detail so that you can get a true picture of how different elements of a campaign performed in the context of the overall campaign objective. The main advantages of running a PCA include:
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