Conversion and Web Analytics
The best thing about online is that everything can be measured!
To get the facts and see that what you're doing actually produces results is an important part when running a website or e-commerce. We help you increase your conversion rate and reach your business goals through measurement, experimentation, and analysis.
Digital success through insightful analysis and conversion optimization
It is becoming increasingly important to understand and take advantage of customer data to improve your offerings and strengthen your position in the market. Our view is that this process is established already in the insight- and strategy work.
In the insight phase, the current situation, conditions and objectives for what you want to achieve with your web- or e-com site are mapped. Based on the insights, we then formulate a strategy for the continued work and here we also specify what is to be measured and how follow-up will take place.
Mapping goals and KPIs
In a working meeting, we map out your goals and KPIs. This often takes place in the form of a workshop where several stakeholders are welcome to participate - in order to bring in different perspectives and needs.
Measurement plan and data visualization
The KPIs are compiled in a measurement plan, which in turn lays the foundation for implementing tracking and configuring selected tools and systems for the measurement, such as Google Looker Studio (formerly Google Data Studio) which enables an easy-to-overview way to follow KPIs in real time via customized dashboards and reports.
For more in-depth analysis or insights into customer behaviors where data is collected from various sources to be processed and segmented, a customer data platform like Optimizely Data Platform (ODP) can serve the purpose.
From data to new insights
With a recurring frequency, we jointly review how well your web solution performs and converts. Based on the data, we gain new insights that can lead to various action proposals to optimize and continuously improve the solution.
Based on these insights, we formulate hypotheses, which can serve as a basis for conducting experiments – in the form of, for example, A/B tests or personalization. The insights can also serve as guidance when prioritizing the backlog.
