diff --git a/src/tracker/lib.jl b/src/tracker/lib.jl
index 5065a40d..ab250e39 100644
--- a/src/tracker/lib.jl
+++ b/src/tracker/lib.jl
@@ -70,7 +70,7 @@ back(::typeof(mean), Δ, xs::TrackedArray, region) =
 
 # BLAS
 
-for f in :[*, Ac_mul_B].args
+for f in :[*, Ac_mul_B, A_mul_Bc].args
   @eval begin
     import Base.$f
     $f(a::TrackedMatrix, b::TrackedMatrix)  = TrackedArray(Call($f, a, b))
@@ -94,7 +94,12 @@ end
 
 function back(::typeof(Ac_mul_B), Δ, a::AbstractVecOrMat{<:Real}, b::AbstractVecOrMat{<:Real})
   @back(a, A_mul_Bt(Δ, data(b))')
-  @back(b, *(data(a), Δ))
+  @back(b, data(a)*Δ)
+end
+
+function back(::typeof(A_mul_Bc), Δ, a::AbstractVecOrMat{<:Real}, b::AbstractVecOrMat{<:Real})
+  @back(a, Δ * data(b))
+  @back(b, At_mul_B(data(a), Δ)')
 end
 
 # Fast path for matrix-vector
diff --git a/test/tracker.jl b/test/tracker.jl
index 81a72566..7d9ef4f5 100644
--- a/test/tracker.jl
+++ b/test/tracker.jl
@@ -10,6 +10,7 @@ gradtest(f, dims...) = gradtest(f, rand.(dims)...)
 @test gradtest((x, W, b) -> σ.(W*x .+ b), (5,3), (2,5), 2)
 
 @test gradtest((w, x) -> w'*x, randn(10, 2), randn(10))
+@test gradtest((w, x) -> w*x', randn(5,5), randn(5,5))
 
 @test gradtest(x -> sin.(sum(x, (2, 3))), (3,4,5))