If you are launching in a competitive category and you know this to be the case, then you may indeed have to invest more heavily at the start to get ahead. It obviously varies by product and category, and this is why we often advise new sellers to go for non-competitive categories with high demand. That’s not to say you should never launch in a competitive category though – and props to you for going for it!
Hi!! Newbie here! So my boss wants our product to be the first few products to be shown at the top when you search for example “plus size tops”. I am using Manual campaign, added “plus size tops” to keywords, using suggested bid with a daily budget at $50. However, I still don’t see our product whenever I search using “plus size tops”. What am I doing wrong?
Another way to do this is to analyze the keywords that are driving traffic to your site and match the user intent to the right page of your site. In the figure below, you can see a typical buy cycle for a new searcher. They will start off using broad keywords to get a general idea of what content is out there. Searchers who use these broad terms would infer that they’re in the information gathering stage of their search. So ask yourself, which page on your site is best suited to help them gather the information they’re seeking? Do you have an article, how-to, or comparison page you can lead them to that helps them get the information they need?
This metric can aid everything from budget allocations to search term inclusion and exclusion. We recently used the “All conv. value / cost” metric to identify queries that were converting most frequently and qualifying at the highest rates. These queries have since been applied as exact match keywords in a series of “Top Performers” campaigns, and are already generating new leads.
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Either way, for the third time, thank you, Chandan. I tend to start my analysis (my own website or that of competition) using something simpler (like http://geekreport.stream or the tool I mentioned before that was flagged for some reason). It gives a lot of technical data quickly, so long as you can decipher it and draw some conclusions. And, naturally, take some of it with a grain of salt. But once that is done, your list is the obvious next step into in-depth analysis.