The data you select above Phone Number Database must appear in a fixed format. It is therefore important that the campaigns for these data sources are provided with UTM tagging , so that you can also import this data into Analytics. You can read more about the step-by-step plan for importing cost data here . The above Phone Number Database must be done manually. It is of course easier to have this done automatically and you can do that with the tools Funnel.io and Supermetrics . Supermetrics This tool is somewhat limited Phone Number Database when it comes to importing cost data to Google Analytics (Supermetrics currently only supports Bing-Ads.
Facebook-Ads, and Yahoo Gemini Phone Number Database although it does offer multiple platforms for importing directly into Google Data Studio from which it collects data. can import. Supermetrics also offers the possibility to load data into Google Sheets. funnel.io The funnel.io tool offers the option of automatically Phone Number Database uploading data from many advertising platforms into Google Analytics. This import is done daily, so that your data from the various advertising platforms is easily and quickly up to Phone Number Database date in Google Analytics.
By importing the cost data Phone Number Database and other campaign-related data into Google Analytics, you get a much more complete picture of what the campaign delivered and what it cost. The ROI can therefore be Phone Number Database calculated across all channels. The cost/turnover ratio can also be made transparent as a calculated statistic for all channels. This gives you a more complete picture of the return on the Phone Number Database channels and campaigns and makes an evaluation of the campaign across all channels a lot easier. This gives you the opportunity to identify campaigns that are very profitable and to which you can allocate more budget.