Measurement is a very foundation of every online effort. It serves two main purposes. First one is so we can track goals, metrics and KPIs and second so systems can learn from collected data. We implement analytical systems, primarily Google Analytics, so it collects meaningful data. We can then repurpose this data for custom dashobards, mostly prepared in Looker Studio which can be analyzed and used for decisionmaking and strategic planning. We also repurpose this data in advertising platforms for machine learning and improvements in ad performance.
We do this by using tracking pixels or server side APIs and by creating default, ecommerce and custom tracking events, incorporating online and offline measurements, loyalty and CRM systems with 1st party data by utilizing measurement protocol, which we track as KPIs or which later serve as guidance for machine-learning in order to reach campaign goals. To simplify this technobabble, we plan and execute complex multipoint tracking scenarios.
Most of all we do this in a privacy compliant manner, while fully respecting user privacy.
In case you need help with funneling data analytics implementation, no matter how complex it may be, we are here for you.
Globally most common analytics platform. We use it to track and to learn from data.
Most common tag management platform. We use it to manage tracking pixels. events and 1st party data.
Statistical data collectiong platform. We use it to collect cookieless data in privacy compliant manner.
Popular data visualization platform. It can aggregate data from multiple sources. We use it to create custom dashboards and reports.
SQL based data warehouse. We use it to store and to analyze large data sets, primarily from Google Analytics.
Heatmap and session recording platform. We use it to analyze user specific behavior on websites.