Collection

Subscription Analytics

Jigyasa Analytics
50 followers

Jigyasa Analytics has extensive experience in the publishing industry and this collection will focus on data science topics relevant for the industry.

Events in this collection

  • Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics primary image

    Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics

    Thu, Sep 25, 10:00 AM EDT

    Free

  • Using AI to Generate Synthetic Customer Data -- Business Applications primary image

    Using AI to Generate Synthetic Customer Data -- Business Applications

    Fri, Jun 6, 11:00 AM EDT

    Free

  • Using AI to Generate Synthetic Customer Data primary image

    Using AI to Generate Synthetic Customer Data

    Thu, Jun 5, 11:00 AM EDT

    Free

  • Predicting Subscriber Churn primary image

    Predicting Subscriber Churn

    Wed, May 14, 11:00 AM EDT

    Free

  • Predicting Subscriber Churn primary image

    Predicting Subscriber Churn

    Thu, Apr 3, 11:00 AM EDT

    Free

  • Customer Churn Models for Magazine and Newspaper Publishing primary image

    Customer Churn Models for Magazine and Newspaper Publishing

    Thu, Apr 25, 2:00 PM EDT

    Free

  • Subscriber Analytics: Best Practices from the Magazine Industry primary image

    Subscriber Analytics: Best Practices from the Magazine Industry

    Thu, Apr 4, 2:00 PM EDT

    Free

  • Magazine Subscriber Analytics: Best Practices from Machine Learning and Data Science Part 2 primary image

    Magazine Subscriber Analytics: Best Practices from Machine Learning and Data Science Part 2

    Wed, Dec 13, 1:00 PM PST

    Free

  • Magazine Subscriber Analytics: Best Practices from Data Science primary image

    Magazine Subscriber Analytics: Best Practices from Data Science

    Thu, Dec 7, 1:00 PM EST

    Free

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Jigyasa Analytics

Organizer of Subscription Analytics
JigyasaAnalyticsis an  Analytics Solutions firm based out of New Jersey, USA.We  have expertise in developing solutions for business problems in the areas of  Predictive Modeling,  Modeling Deployment, Business Intelligence, Commercial Lending Analytics, Scorecard Development, Customer/Donor  Acquistion Analytics, Cross Sell, Retention, Managing Donor Cycel, Identifying High Value Donors,Survey Design ,Marketing Mix Modeling, Marketing Optimization, Product  Analytics, Pricing, Risk and  Forecasting.

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