diff --git a/packages/reviewiq-pipeline/src/reviewiq_pipeline/stages/stage5_synthesize.py b/packages/reviewiq-pipeline/src/reviewiq_pipeline/stages/stage5_synthesize.py
index c652d71..0e2912f 100644
--- a/packages/reviewiq-pipeline/src/reviewiq_pipeline/stages/stage5_synthesize.py
+++ b/packages/reviewiq-pipeline/src/reviewiq_pipeline/stages/stage5_synthesize.py
@@ -407,12 +407,14 @@ class Stage5Synthesizer:
     async def _gather_context(self, job_id: str) -> dict[str, Any]:
         """Gather all context needed for report generation."""
 
-        # Overview stats
+        # Overview stats with date range
         overview = await self.pool.fetchrow("""
             SELECT
                 COUNT(DISTINCT r.review_id) as total_reviews,
                 ROUND(AVG(r.rating)::numeric, 2) as avg_rating,
-                COUNT(s.span_id) as total_spans
+                COUNT(s.span_id) as total_spans,
+                MIN(r.review_time) as earliest_review,
+                MAX(r.review_time) as latest_review
             FROM pipeline.reviews_enriched r
             LEFT JOIN pipeline.review_spans s ON s.review_id = r.review_id
             WHERE r.job_id = $1::uuid
@@ -577,11 +579,30 @@ class Stage5Synthesizer:
             LIMIT 10
         """, job_id)
 
+        # Calculate analysis period from actual date range
+        earliest = overview["earliest_review"]
+        latest = overview["latest_review"]
+        if earliest and latest:
+            from datetime import datetime
+            days_span = (latest - earliest).days
+            if days_span <= 31:
+                analysis_period = "Last month"
+            elif days_span <= 90:
+                analysis_period = "Last 3 months"
+            elif days_span <= 365:
+                analysis_period = "Last 12 months"
+            else:
+                years = days_span // 365
+                analysis_period = f"Last {years} years" if years > 1 else "Last year"
+        else:
+            analysis_period = "All available data"
+
         return {
             "business_name": business or "This business",
             "total_reviews": overview["total_reviews"] or 0,
             "avg_rating": float(overview["avg_rating"] or 0),
             "total_spans": overview["total_spans"] or 0,
+            "analysis_period": analysis_period,
             "sentiment": [dict(r) for r in sentiment],
             "top_issues": [dict(r) for r in top_issues],
             "top_strengths": [dict(r) for r in top_strengths],
@@ -869,7 +890,7 @@ class Stage5Synthesizer:
                 generated_at=datetime.utcnow().isoformat(),
                 review_count=context["total_reviews"],
                 insight_count=context["total_spans"],
-                analysis_period="Last 12 months",
+                analysis_period=context.get("analysis_period", "All available data"),
                 charts=chart_data,
             )
 
@@ -1022,7 +1043,7 @@ Generate a comprehensive analyst report based on this data."""
             generated_at=datetime.utcnow().isoformat(),
             review_count=ctx["total_reviews"],
             insight_count=ctx["total_spans"],
-            analysis_period="Last 12 months",
+            analysis_period=ctx.get("analysis_period", "All available data"),
             charts=chart_data,
         )