diff --git a/etl/customers/ksquared/Wave3 Modelling.py b/etl/customers/ksquared/Wave3 Modelling.py
index bf9eb1e8..023ae25c 100644
--- a/etl/customers/ksquared/Wave3 Modelling.py	
+++ b/etl/customers/ksquared/Wave3 Modelling.py	
@@ -45,3 +45,5 @@ def app():
         searcher = RetrieveFindMyEpc(address=address, postcode=postcode)
         epc_data = searcher.retrieve_newest_find_my_epc_data()
         extracted_data.append(epc_data)
+
+    # We format the extracted data so that is has the same structure as non-intrusive recommendations
diff --git a/etl/find_my_epc/RetrieveFindMyEpc.py b/etl/find_my_epc/RetrieveFindMyEpc.py
index a6696021..dad32bf6 100644
--- a/etl/find_my_epc/RetrieveFindMyEpc.py
+++ b/etl/find_my_epc/RetrieveFindMyEpc.py
@@ -220,6 +220,11 @@ class RetrieveFindMyEpc:
             "Double glazed windows": ["double_glazing"],
             "Cavity wall insulation": ["cavity_wall_insulation"],
             "Replace boiler with new condensing boiler": ["boiler_upgrade"],
+            "Floor insulation": ["floor_insulation"],  # Recommendation typically associated to older EPCs
+            "Heating controls (programmer, room thermostat and TRVs)": [
+                "roomstat_programmer_trvs", "time_temperature_zone_control"
+            ],
+            "Low energy lighting": ["low_energy_lighting"],
         }
 
         formatted_recommendations = []