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Will PPC look like this in 2020? Nonetheless, there are some amazing automation opportunities that make the life of Marketing Managers, CMOs, and PPC experts quicker and more efficient—especially for fast-growing companies that need to scale their campaigns. PPC automation is a massive topic. Probably not. Ad Testing.
If we can’t determine where the traffic comes from, we can neither attribute conversions to their original sources of traffic, nor can we find out the true cost per acquisition (CPA) or return on ad spend (ROAS) for each marketing activity. Clear communication and central documentation are required. This can be the type of link (e.g.,
Pay Per Click Advertising (PPC) We didn’t have the slightest idea about search engine optimization (SEO), so we focused on PPC to drive traffic to our website. If you ever get into PPC, make sure you spend ample time studying quality material discussing what it is and how to execute it effectively.
You can remove yourself from that category by reading the documentation here.). The goal of predictive attribution is to improve the overall CPA/ROAS of the whole marketing mix, not a specific channel or campaign. The same happens when you use Google’s AMP viewer instead of a signed exchange. Fully predictive approach.
E.g. Message match / headline match from PPC ad to landing page. Measure these metrics for all: % and # of visitors, % and # landing, % and # revenue, % and # conversion, RPV, % and # previous step, CPA, total spend. Create ideas as experiment documents (hypothesis, research, target, etc.). Preferences, intents, etc.
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