diff --git a/exporter/signalfx/signalfx.go b/exporter/signalfx/signalfx.go
index 27d0238..002d747 100644
--- a/exporter/signalfx/signalfx.go
+++ b/exporter/signalfx/signalfx.go
@@ -131,36 +131,57 @@ func (e *Exporter) Flush() {
 
 // toMetric receives the view data information and creates metrics that are adequate according to
 // graphite documentation.
-func (e *Exporter) toMetric(v *view.View, row *view.Row, vd *view.Data) signalFxMetric {
+func (e *Exporter) toMetric(v *view.View, row *view.Row, vd *view.Data) []signalFxMetric {
 	switch data := row.Data.(type) {
 	case *view.CountData:
-		return signalFxMetric{
+		return []signalFxMetric{{
 			metricName:     sanitize(vd.View.Name),
 			metricType:     "cumulative_counter",
 			metricValueInt: data.Value,
 			timestamp:      time.Now(),
 			dimensions:     buildDimensions(row.Tags),
-		}
+		}}
 	case *view.SumData:
-		return signalFxMetric{
+		return []signalFxMetric{{
 			metricName:     sanitize(vd.View.Name),
 			metricType:     "cumulative_counter",
 			metricValueInt: int64(data.Value),
 			timestamp:      time.Now(),
 			dimensions:     buildDimensions(row.Tags),
-		}
+		}}
 	case *view.LastValueData:
-		return signalFxMetric{
+		return []signalFxMetric{{
 			metricName:  sanitize(vd.View.Name),
 			metricType:  "gauge",
 			metricValue: data.Value,
 			timestamp:   time.Now(),
 			dimensions:  buildDimensions(row.Tags),
+		}}
+	case *view.DistributionData:
+		subMetrics := map[string]float64{
+			"avg":   data.Mean,
+			"count": float64(data.Count),
+			"max":   data.Max,
+			"min":   data.Min,
+		}
+
+		ret := []signalFxMetric{}
+		for name, val := range subMetrics {
+			ret = append(ret, signalFxMetric{
+				metricName:  sanitize(vd.View.Name + "." + name),
+				metricType:  "gauge",
+				metricValue: val,
+				timestamp:   time.Now(),
+				dimensions:  buildDimensions(row.Tags),
+			})
 		}
+
+		// TODO: add support for counts per bucket, quantiles, etc.?
+		return ret
+
 	default:
-		// TODO: add support for histograms (Aggregation.DistributionData).
 		e.opts.onError(fmt.Errorf("aggregation %T is not yet supported", data))
-		return signalFxMetric{}
+		return nil
 	}
 }
 
@@ -190,20 +211,20 @@ func (e *Exporter) sendBundle(vds []*view.Data) {
 	ctx := context.Background()
 	for _, vd := range vds {
 		for _, row := range vd.Rows {
-			metric := e.toMetric(vd.View, row, vd)
+			metrics := e.toMetric(vd.View, row, vd)
 			data := []*datapoint.Datapoint{}
-			switch metric.metricType {
-			case "gauge":
-				data = []*datapoint.Datapoint{
-					sfxclient.GaugeF(metric.metricName, metric.dimensions, metric.metricValue),
-				}
-			case "cumulative_counter":
-				data = []*datapoint.Datapoint{
-					sfxclient.Cumulative(metric.metricName, metric.dimensions, metric.metricValueInt),
-				}
 
-			default:
-				e.opts.onError(fmt.Errorf("metric type not supported: %s", metric.metricType))
+			for _, metric := range metrics {
+				switch metric.metricType {
+				case "gauge":
+					data = append(data, sfxclient.GaugeF(metric.metricName, metric.dimensions, metric.metricValue))
+
+				case "cumulative_counter":
+					data = append(data, sfxclient.Cumulative(metric.metricName, metric.dimensions, metric.metricValueInt))
+
+				default:
+					e.opts.onError(fmt.Errorf("metric type not supported: %s", metric.metricType))
+				}
 			}
 
 			err := e.client.Sink.AddDatapoints(ctx, data)