Custom-built Dashboards using Neo4j
Developing dashboards for a complex Neo4j back end with Node.js.
Read the case study Website analytics Technology start-up
Advanced website analytics. Predicting high-value visitors.
A fast-growing US start-up approached Exometrics to help make sense of its website data. Here’s how we helped them.
115k
website visits analysed
The opportunity
Which content converts? And which visitors will?
A fast-growing tech start-up asked Exometrics to help analyse over 100k website visits. It wanted to know which content types had a positive or negative effect on conversion at various stages of its sales funnel.
It also wanted to know whether we could detect any behavioural patterns or user characteristics that would indicate a visitor was more likely to convert.
Our solution
Hundreds of features. Isolating what drives conversion.
We merged the client’s website data, analysed how visitors behave and what they read, then built predictive models to isolate the characteristics most significant for conversion. That gave the client the information to focus its marketing on high-value visitors.
- Merge Queries to merge and manage website data from several systems
- Analyse Visitor behaviour, content preferences and more, across 100k+ visits
- Predict Machine learning models predict which visitors are most likely to convert
Technologies used.
The cloud, data, CRM and analytics tools behind the project.
- Google Cloud
- Amazon Redshift
- Salesforce
- Python
- Segment
- Google Analytics
Results
115,000 visits analysed. High-value visitors, predicted.
- Our data scientists analysed over 115,000 visits from the client’s website and CRM system
- We used advanced machine learning models to predict which visitors would be most likely to convert
- Our team provided dashboards and reports to the client’s specifications and requirements
115k
website visits analysed, from the client’s website and CRM
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