Link sBG Notebook in README and Index (#1265)

* Add sBG link to README * Add sBG link to index --------- Co-authored-by: Will Dean <[email protected]>
pymc-labs · Dec 13, 2024 · cca56b4 · cca56b4
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diff --git a/README.md b/README.md
@@ -140,12 +140,11 @@ Dynamic and interactive visualization of key Marketing Mix Modeling (MMM) concep
 
 Understand and optimize your customer's value with our **CLV models**. Our API supports various types of CLV models, catering to both contractual and non-contractual settings, as well as continuous and discrete transaction modes.
 
-Explore our detailed CLV examples using data from the [`lifetimes`](https://github.com/CamDavidsonPilon/lifetimes) package:
-
 - [CLV Quickstart](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/clv_quickstart.html)
 - [BG/NBD model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/bg_nbd.html)
 - [Pareto/NBD model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/pareto_nbd.html)
 - [Gamma-Gamma model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/gamma_gamma.html)
+- [Shifted Beta-Geo model](https://www.pymc-marketing.io/en/stable/notebooks/clv/sBG.html)
 
 ### Examples
 

diff --git a/docs/source/index.md b/docs/source/index.md
@@ -129,14 +129,13 @@ Leverage our Bayesian MMM API to tailor your marketing strategies effectively. L
 
 ## Unlock Customer Lifetime Value (CLV) with PyMC
 
-Understand and optimize your customer's value with our **CLV models**. Our API supports various types of CLV models, catering to both contractual and non-contractual settings, as well as continuous and discrete transaction modes.
-
-Explore our detailed CLV examples using data from the [`lifetimes`](https://github.com/CamDavidsonPilon/lifetimes) package:
+Understand and optimize your customer's value with our **CLV models**. Our API supports various types of CLV models, catering to both contractual and non-contractual settings, as well as continuous and discrete transaction modes:
 
 - [CLV Quickstart](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/clv_quickstart.html)
 - [BG/NBD model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/bg_nbd.html)
 - [Pareto/NBD model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/pareto_nbd.html)
 - [Gamma-Gamma model](https://pymc-marketing.readthedocs.io/en/stable/notebooks/clv/gamma_gamma.html)
+- [Shifted Beta-Geo model](https://www.pymc-marketing.io/en/stable/notebooks/clv/sBG.html)
 
 Each of these models is tailored to different types of data and business scenarios: