Update 11_targeting_variants_for_maximum_impact.md

Signed-off-by: AlxdrPolyakov <[email protected]>

Author: AlxdrPolyakov

_case_studies/11_targeting_variants_for_maximum_impact.md

@@ -1,6 +1,10 @@
 ---
-title: Targeting variants for maximum impact
-description: "Causal inference for selecting the best option"
+title: Targeting variants for maximum impact using the CausalTune library
+layout: page
+description: >-
+  This tutorial provides an introduction to causal AI using the CausalTune library in Python. It shows a practical example and the use of the ERUPT metric.
+summary: >-
+  This tutorial provides an introduction to causal AI using the CausalTune library in Python. It shows a practical example and the use of   the ERUPT metric. It also shows how to use ERUPT to evaluate previous experiments, as well as how to evaluate the potential effect of a future experiment with different assignments using a real business example. 
 image: assets/causaltune-targeting.png
 image-alt: Targeting variants for maximum impact
 link: https://medium.com/@alexander.polyakov/targeting-variants-for-maximum-impact-bdf26213d7bc