Curbing the trend of falling retention
Churn and retention can be make-or-break metrics for mobile app-based companies. Across iOS and Android, worldwide user retention after 90 days is just 4%.
This is why the mobile app is perhaps the most critical use case for getting predictive right. When a company's future hinges on what happens in the first 90 days after user acquisition, descriptive analytics (describing what happened in the past) can be ineffective.
In this webinar, we covered:
• Top metrics for app makers and marketers to predict
• How to ensure predictive models are aligned with the bottom line
• How to structure your analytics and data science teams with limited resources
• You have predictions with a high level of accuracy—how do you take action?
"Prediction is just the logical evolution of big data, but it's simply not scalable to work months on every new model. That's where the Pecan magic comes in, cutting development time from months to days. "
Head of BI, Appsflyer
“The Pecan platform was able to build models from raw and broken data in days.
A task that would take a team of data scientists months.”
Maayan Ekstein Konnect
"Predictive analytics is marching towards automation and I believe Pecan has built a great product for it. The Pecan platform enables business analysts to reduce the complexity of building and deploying predictive models and will help transform the way data science projects are executed."
VP Data, Fiverr
Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases. Pecan does not require any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.