For most search engine optimization agencies, forecasting comes across as a routine, but there are still many challenges with implementation and interpretation. There is a requirement to find a connection between the performance and return on investment and the process is loosely defined. As with any forecasting, there’s a limitation in our ability to predict events accurately. Sometimes, outliers and anecdotal evidence is counted and used as a data. Failing of forecasting models is a result of issues at two different levels. One is making wrong conclusions followed by inadequate course of action as a result, while the other one is inability of decision makers to recognize and understand their fallibility.
- The dunning kruger effect typically applies to people who think they have SEO all figured out.
- These SEO models are hard to predict because a search for coffee shops in new york city is going to have advertisements at the very top.
- Mobile and Desktop platforms are also going to perform differently in search results.
“Although forecasting is a fairly routine activity in the life of an SEO agency, there are a lot of pain points associated with it. It comes with”