Pre-Implementation Phase:

Leave analytics to the end: consider Web Analytics as something complementary to your web strategy is wrong. It is extremely important to determine which KPIs are to be measured. To do this you must think and find the own and characteristic objectives of the business strategy and thus you will find the metrics that best suit those objectives. Otherwise, you could find yourself with illegible data and reports because you do not find yourself in an analytical context that makes sense.

Think that Google Analytics is a tool that will support you in the assimilation of your Marketing and Business Sales objectives, therefore its use should be directed towards this fact. You must not stop visualizing your conversion funnel or forget that all actions in analytics must be directed towards its optimization.

Do not link the Google Analytics account with the Adwords account: the data crossing through its link can provide us with a succulent context of data analysis. Linking the Adwords account to the Google Analytics property is equivalent to accessing the customer's behavior data (ad clicks, impressions and conversions). Once the accounts are linked, the Analytics data can be used to optimize your Adwords campaigns, thus improving the overall performance of your business.

If you do not ask questions you will not get key answers: Web Analytics can help you through a quantitative analysis to understand what users are doing and how they interact with your content. However, to answer "the whys" it is necessary to complement it with a qualitative analysis. The combination of both is ideal if you want to get a real interpretation of everything that is happening. But this last type of analysis has to be carried out by the person behind the data analysis. If the number of visits to your landing page is very high but the bounce rate is very high, the analytics tools will not tell you why, you must be the one to investigate to draw these conclusions.

Do not define what is going to be analyzed: it is very necessary to consider aspects such as the destination URL, the time in the users' site, the analysis of pages / visit, etc. before starting to analyze.

Development phase:

Do not use a segmentation that can filter the Branding: After establishing the objectives it is easy to determine that these have been directed towards users who have already searched for us by brand or Product Company. However, it is necessary to establish a filter that takes into account potential clients. You cannot assume that all users are equal and / or that they are governed by the same behavior patterns. For this, Google Analytics allows you to separate the traffic obtained from a direct word search.

Count your own visits: It is necessary to filter your own visits and that of web collaborators to avoid biased data. You only have to find out the corresponding IPs and create a new profile for your website in Google Analytics with the corresponding filter for those IPs.

Do not optimize the tool to its full potential: do not use tagging, do not work with redirects, create pages and do not place the tracking code, do not work with redirects, use URLs and titles without optimizing them or do not perform an appropriate structure and nomenclature of the directories, they would be some of the most common errors that you could carry out. Since you have powerful tools you must be very meticulous and exploit their full potential! If you want digital marketing service and training please visit here: Digital marketing training in Lahore