Optimizing Risk-Based Pricing for Customer Onboarding Using Synthetic Scenarios
Published June 4, 2025
At a glance
Views
99
Likes
1
Comments
0
Performance vs. channel
All-time outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
In this demonstration, we will utilize synthetic data algorithms in SAS® Data Maker to simulate feasible economic scenarios based on historical data. These scenarios will calibrate loan pricing according to credit and fraud risk. We will deploy a risk-based pricing calculator by optimizing loan pricing policies impleme…
- Published
- June 4, 2025
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How Optimizing Risk-Based Pricing for Customer Onboarding Using Synthetic Scenarios is doing
It has 99 views in total. It ranks #15,788,553 among tracked YouTube videos by views.
Key facts about Optimizing Risk-Based Pricing for Customer Onboarding Using Synthetic Scenarios
- Total views
- 99
- Total likes
- 1
- Total comments
- 0
- Published
- June 4, 2025
- Global rank by views
- #15,788,553
Frequently asked questions
How many views does Optimizing Risk-Based Pricing for Customer Onboarding Using Synthetic Scenarios have?
Optimizing Risk-Based Pricing for Customer Onboarding Using Synthetic Scenarios has 99 views, 1 likes, ranking #15,788,553 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.