diff --git a/plots.py b/plots.py
index 431cf55..9a645da 100644
--- a/plots.py
+++ b/plots.py
@@ -2,6 +2,7 @@
 
 import plotly.graph_objects as go
 import polars as pl
+from theme import ColorPalette
 
 
 def plot_average_scores_with_counts(
@@ -9,7 +10,7 @@ def plot_average_scores_with_counts(
     title: str = "General Impression (1-10)<br>Per Voice with Number of Participants Who Rated It",
     x_label: str = "Stimuli",
     y_label: str = "Average General Impression Rating (1-10)",
-    color: str = "#0077B6",
+    color: str = ColorPalette.PRIMARY,
     height: int = 500,
     width: int = 1000,
 ) -> go.Figure:
@@ -74,16 +75,16 @@ def plot_average_scores_with_counts(
         yaxis_title=y_label,
         height=height,
         width=width,
-        plot_bgcolor='white',
+        plot_bgcolor=ColorPalette.BACKGROUND,
         xaxis=dict(
             showgrid=True,
-            gridcolor='lightgray',
+            gridcolor=ColorPalette.GRID,
             tickangle=-45
         ),
         yaxis=dict(
             range=[0, 10],
             showgrid=True,
-            gridcolor='lightgray'
+            gridcolor=ColorPalette.GRID
         ),
         font=dict(size=11)
     )
@@ -96,7 +97,7 @@ def plot_top3_ranking_distribution(
     title: str = "Top 3 Rankings Distribution<br>Count of 1st, 2nd, and 3rd Place Votes per Voice",
     x_label: str = "Voices",
     y_label: str = "Number of Mentions in Top 3",
-    height: int = 600,
+    height: int = 500,
     width: int = 1000,
 ) -> go.Figure:
     """
@@ -161,7 +162,7 @@ def plot_top3_ranking_distribution(
         name='Rank 1 (1st Choice)',
         x=labels,
         y=stats_df['Rank 1'],
-        marker_color='#004C6D',  # Dark Blue
+        marker_color=ColorPalette.RANK_1,
         hovertemplate='<b>%{x}</b><br>Rank 1: %{y}<extra></extra>'
     ))
 
@@ -169,7 +170,7 @@ def plot_top3_ranking_distribution(
         name='Rank 2 (2nd Choice)',
         x=labels,
         y=stats_df['Rank 2'],
-        marker_color='#008493',  # Teal
+        marker_color=ColorPalette.RANK_2,
         hovertemplate='<b>%{x}</b><br>Rank 2: %{y}<extra></extra>'
     ))
 
@@ -177,7 +178,7 @@ def plot_top3_ranking_distribution(
         name='Rank 3 (3rd Choice)',
         x=labels,
         y=stats_df['Rank 3'],
-        marker_color='#5AAE95',  # Sea Green
+        marker_color=ColorPalette.RANK_3,
         hovertemplate='<b>%{x}</b><br>Rank 3: %{y}<extra></extra>'
     ))
 
@@ -188,15 +189,15 @@ def plot_top3_ranking_distribution(
         yaxis_title=y_label,
         height=height,
         width=width,
-        plot_bgcolor='white',
+        plot_bgcolor=ColorPalette.BACKGROUND,
         xaxis=dict(
             showgrid=True,
-            gridcolor='lightgray',
+            gridcolor=ColorPalette.GRID,
             tickangle=-45
         ),
         yaxis=dict(
             showgrid=True,
-            gridcolor='lightgray'
+            gridcolor=ColorPalette.GRID
         ),
         legend=dict(
             orientation="h",
diff --git a/theme.py b/theme.py
new file mode 100644
index 0000000..be5658a
--- /dev/null
+++ b/theme.py
@@ -0,0 +1,21 @@
+"""
+Color palette and style definitions for Voice Branding analysis plots.
+"""
+
+class ColorPalette:
+    """
+    Consistent color palette for all visualizations.
+    Update colors here to propagate changes to all plots.
+    """
+    # Primary brand/chart color
+    PRIMARY = "#0077B6"  # Medium Blue
+
+    # Gradient for rankings (Darkest -> Lightest or Strong -> Soft)
+    RANK_1 = "#004C6D"   # Dark Blue (1st Choice)
+    RANK_2 = "#008493"   # Teal (2nd Choice)
+    RANK_3 = "#5AAE95"   # Sea Green (3rd Choice)
+
+    # General UI elements
+    TEXT = "black"
+    GRID = "lightgray"
+    BACKGROUND = "white"