AI Use Case
Optimise website paywall proposition to maximise subscriber conversion rates
Building subscriber income is a key part of many media publisher strategies - especially as print disappears, online advertising pricing pressure increases and 3rd party traffic generators like social media sites or search engines change their algorithms at will. Whilst these conversion rates are typically in low single percentage points any increase can drive significant revenue to the bottom line. Typically the models will score customer propensity to respond to different types of advertising and commercial propositions, perhaps at different times, and offer these up accordingly. For many sites this will also drive the cut-off moment for free access. This is a shift to a more flexible variant on traditional Freemium (some content is free, some paid for), Metered (a certain amount is free) or Hard (everything is charged for) models.
Function
Marketing
Digital Marketing
Benefits
Revenue - Sales effectiveness improvement,Revenue - Customer engagement,Revenue - Customer proposition optimisation (content)
Case Studies
Wall Street Journal~Wall Street Journal improves visitor to subscriber conversion rates by optimising experience to match machine learning modelled propensity to subscribe
Potential Vendors
Industry
Consumer Goods And Services
Media And Publishing
Data Sets
Structured / Semi-structured
AI Technologies
Machine Learning (ML),ML Task - Prediction - Regression,ML Task - Action Selection - Reinforcement Learning