Some Brands That Have Used Jigyasa Models

Expires are lapsed subscribers. Jigyasa leverages traditional data science techniques, machine learning and its proprietary magazine analytics methodology to develop models which help publishers win-back their Expires. 

We leverage our proprietary publishing analytics techniques to help publishers identify subscribers who are not likely to not renew their subscriptions or memberships, so that they can take remedial actions. 

Incentives are an essential part of marketing program. However, they are often wasted on customers who would have purchased anyway.  Jigyasa has developed uplift models which identify customers who will respond without the incentives, to help several publishers achieve superior marketing results without offering unnecessary incentives.

Jigyasa has developed forecasting models which help publishers predict newsstand sales for greater operational efficiency.

We have developed Business Intelligence reporting systems for several publishers and other organizations. These have used different databases, CRM systems and reporting front ends as per the organizations requirements.

We have developed numerous cross-sell and upsell models to help publishers sell additional subscriptions and products to existing customers.

We have leveraged pricing analytics to develop elasticity models which help organizations apply different tiers of pricing to their customers.

We have leveraged data science and AI to develop product recommendation systems that delivered great results.