Case Studies
Learn how businesses make communication hyper-personalized
Latest cases
Industry
Service
Retail
How Predictive Analytics Helped a Furniture Retailer Save €529K
A Swiss furniture retailer spent €667K per year on direct mail. Using predictive analytics, they cut this budget by 79% while keeping the same sales.
Retail
How Predictive Analytics Helped an Electronics Retailer Detect Bonus Abuse
An electronics retailer lost revenue when cashiers scanned their own cards to collect customer bonuses. Manual audits were slow and rarely found real violations. A fraud scoring system prioritized suspicious transactions to reduce manual work while increasing detection rates.
Saas
A telecom provider is now able to see high churn risk customers 3 months prior
A major telecom provider was losing 15% of its subscribers annually. Their retention team only reached out after a customer filed a cancellation request. Using predictive analytics, they now identify at-risk customers 3 months in advance.
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Frequently Asked Questions
Where do you get the data to train the models?
The models learn only from your own client behavior history. We do not use general market data. The predictions are specific to how your unique customers interact with your business.
How does this integrate with my current tools?
We connect to many types of software including medical systems and warehouse tools. We also deliver messages through SMS, Viber, Telegram, or website chats.
Do I need a programmer to use the platform?
No coding skills are necessary. An analyst can train and test models using a simple interface with buttons.
What’s the pricing model?
It’s based on prediction volume per month. One prediction per customer per run counts as one. That keeps cost directly tied to usage/value and makes budgeting straightforward.