You like Google Trends but you are disappointed that it does not work well for Long Tail Keywords? Then keep on reading and use this Python Script to build your own “Google Trends” service by using the google autosuggest.
How does your content compare to your strongest competitor? To answer this question we build a small Python Script that is doing this task.
We already released a Python Script here that is using this approach for grouping keywords together by using the search results from Google. We further improved this version and added some nice graph outputs for visualizing the keyword topics in a more understandable way.
But which electronic car model can compete with Teslas model 3 in user demand? Let’s have look at search trends for the German market. The data is pulled from Google Trends. The interest is shown in an indexed way per keyword.
Google’s BigQuery is a perfect fit as Marketing Analytics Data Warehouse. Google Analytics 360 uses BigQuery. If you are using free Google Analytics and Google Ads, you can also import their data into BigQuery via Google App Script or Ads Script.
Google’s BigQuery is a perfect fit as Marketing Analytics Data Warehouse (DWH). Even if you are not the tech affine marketing guy and you don’t have the power in your team to deal with a DWH, please do your future techie and your business a favor and enable the enable the Export to BigQuery, today
You can group display placements together based on their web site content and judge elements even with low sample sizes. This will help you detect the good and bad performing ones and make adjustments.
Identifying the quality of a placement is more difficult on mobile apps. Insufficient sample size can be quite a challenge. Here is a smart solution to tackle this problem.