More and more consumers are finding businesses online through search engines. How do they find them? By using keywords! Fortunately, you can take advantage of this consumer habit by optimizing your website around the keywords that are relevant to your business and which keywords consumers are using to find you online. This will increase your chances of getting found by people searching with those keywords, which will drive more and better quality traffic to your business’ website.
Subtracting the COGS, FBA fees, and Miscellaneous from the Selling Price leaves $9 in profit per unit (27-4-11-3=9). So we can spend up to $9 to get a sale and still be profitable. To calculate our ACoS threshold for our break-even point, simply divide the net income from the Selling price, ie $9/$27=.33. This leaves us with a 33% ACoS threshold, meaning that we would be making money on any keyword that has a Cost of Sale at 33% or less.
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.
The same goes for PPC advertising. Potential customers who are targeted with your PPC ads don’t care about your need to fill your pipeline or your salespeople’s need to meet their quota—the truth is they only care about what’s in it for themselves. Cater to this by crafting your ad copy in the second person, keeping the importance on the consumer and not on your company.
In online environments, ad servers look at a user’s IP address to figure out their location. Behind the scenes, the ad server maintains a large database that has every IP address already mapped to its country, state, and postal code. So, when a request comes in, the ad server strips the IP address from the header of the request, queries this table, finds the necessary location data, and then picks an ad that matches that criteria.
When setting up conversion experiments that test different page elements, it may be valuable to make a prior segmentation that is location-based. Testing different ideas and approaches when location is taken into account, usually creates very interesting insights. What will work better for your funnel – showing your traffic from Spain pages in Spanish or English? Will you quote Euro or Dollar?
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