diff --git a/README.md b/README.md
index 2d53eae..2ab0286 100644
--- a/README.md
+++ b/README.md
@@ -658,7 +658,7 @@ Product.search("apple", track: {user_id: current_user.id})
 
 Focus on:
 
-- top searches with low conversions
+- top searches with a low conversion rate
 - top searches with no results
 
 Searchkick can then use the conversion data to learn what users are looking for. If a user searches for “ice cream” and adds Ben & Jerry’s Chunky Monkey to the cart (our conversion metric at Instacart), that item gets a little more weight for similar searches.
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libgit2 0.21.0