With DeepNeed we proved that customers' purchase history is all that is needed to build a precise customer behaviour portrait. For the core AI-algorithms to work properly platform requires access to anonymised transaction history. And that's all!
No more delayed reactions
DeepNeed platform analyses transaction history of a client at the day of his last purchase. In case if any negative changes in client's behaviour occurred you can act immediately to retain him… or let the platform decide what is the best time to contact each client.
All types of sales and offers
From AI-based personal product recommendations to general sale notifications. DeepNeed collects and analyses all historical advertisement campaigns and predicts potential response for future ones based on multiple custom parameters.
Avoid spam and undelivered messages
Some clients don't read e-mails. Some clients hate to receive an SMS a day. Feels relatable? DeepNeed chooses the best fitting communication channel and amount of messages for each client to reach highest ad campaign response possible and decrease campaign costs.
Fast and easy integration
Depending on what CRM system is used, DeepNeed will present its results in the most fitting form — from csv lists to complex reports.
All types of databases
Cloud-based (DeepNeed API) or standalone solution
Separate front-end or integrated into popular CRM systems
Use case: Lenta LLC
Goal: To build Customer Segmentation Model based on customer churn probability and test it in comparison to several existing models.
ROI of retention advertising campaign went up 3.5x times.
Quality of churn prediction went up 2x times.
DeepNeed models are integrated in production servers of Lenta.
We've chosen DeepNeed as a service provider in the area of Customer Behaviour Analytics after several successful pilot projects. The prediction quality of developed algorithms deserves special mentioning and we plan to fully integrate their system into our CRM in 2020.