Automate your ecommerce analytics to improve customer experiences, drive conversions and supercharge ROI
Ecommerce teams face a major challenge: They need data analysis to drive performance and create the best online shopping experiences possible – but 65% say they have too much data to analyse.
This means that critical anomalies and hidden performance opportunities in data are being overlooked, costing untold millions in lost revenue.
Fortunately, when it comes to ‘analysis paralysis’ in online retail, there’s one brilliant solution: AI automated KPI monitoring.
In this whitepaper, we explore how you can supercharge your ecommerce analytics using automation.
Ecommerce metrics to measure
Read our tips for picking the best KPIs for your online store, and how to tell a ‘good metric’ from a ‘bad metric’.
Key data analysis challenges
Analysing data is getting more difficult for online retailers. Understand what challenges to expect, and how to overcome them.
AI’s role in data analysis
Humans weren’t made to number crunch – but AI was. Find out how AI supercharges data analysis to save time, money and manpower in ecommerce.
How to automate KPI monitoring
Learn how you can start using AI to automate KPI monitoring in ecommerce today to improve customer experiences, ROI, retention and revenue.