When it comes to making big (or small) business decisions, it’s important to ensure your decision doesn’t hurt your existing customers, but rather enhances their user experience. When you know who your site visitors are by their age, gender, geographic location, interest topics, etc., you can take proper measures to enhance their user experience.
Use interest targeting.
use Facebook ads on a regular basis.
state that they check their Facebook accounts every day.
are targeted by country instead of specific location.
To answer this question, we first have to identify and state the most important priorities for your website in terms of the main accomplishment.our marketing team set to identify the current situation where your website is and where you want it to be in terms of traffic, rankings, conversions, etc. This will ultimately help you identify the most important area to improve on in order to increase the bottom line.
Increased Page views, number of sessions, and traffic is an indicator that your website content is performing well but those are not indicators of website success. More relevant parameter of measuring website success is how users are engaging with your website.
Today’s businesses are moving towards smart data rather than big data. More than half the data acquired turns useless. Hence defining your key performance indicators is an important aspect of web analytics strategy. Building on the foundation of boosting conversions, data must be gathered to select actionable KPI’s.
There are tremendous opportunities when you tie-up your analytical tool with other marketing tools such as customer relationship management (CRM), email list, phone list and your business repository. Integrating all these tools will give you a clear picture of all your marketing activities, campaign performances and optimization opportunities.
Once you set your web analytics strategy and your analytic segments tool starts gathering data, it may get overwhelming to predict any useful transactions. Navigating through this huge amount of data can be tiring and a huge waste of time. Hence you need to put filters and extract only useful data from your tool.