Look into the future
Analyze data about your customers and sales.
Easy to use interface
- Drag & Drop loading of files. Basicaly any .csv separated with commas.
- Automatic recognization of formats inside.
- Needed fields: Date of event/transaction/buy, Client / Customer identification and event/transaction value/volume/amount.
- All parameters (like formats, patterns, time spans) will have suggestions.
- Automatic suggestions for recognizing fields.
Readable and understandable output
- Visualy rich and nice graphs and tables
- Pre-formated tableau reports.
- .csv file out possibilities.
- Possible connection to other services (Keboola, Tableau, …)
- Automaticly suggest segmentation rules
- Month to month or year to year customer segmentation changnes.
- New best performing customers, who was good but now not performing well?
- One of the best indicators of future sales.
Prediction of next buy
- What is the probability that customer will buy on his next visit?
- What is the Customer Lifetime Value?
- How he usualy acts?
- Finding patterns in customers actions – like this customer buys 50 USD credit every week, sometimes he doesnt buy regulary, but now he didnt buy for a month.
We are focusing on predictions of future actions of your customers
Predictions Use Cases:
- Retention / Churn analysis – when you want to know if/when a customer leaves you and close account.
- Segmentation – how often individual customers segments buy at your e-shop and for how much. How likely they will buy in next month, …
- Direct Marketing – Precisely target your campaigns to relevant customers
- Fraud Detection – Does this new operation correspond to previous behaviour?
- Better decision-making – When you know the future better you can make better decisions