diff --git a/R/ga_v4_get.R b/R/ga_v4_get.R
index d7f13e09..c5957c3d 100644
--- a/R/ga_v4_get.R
+++ b/R/ga_v4_get.R
@@ -245,7 +245,7 @@ google_analytics_4 <- function(viewId,
   if(max > 10000){
     ## how many v4 batch requests can be made at one time (5-1) due to bad maths
     batchLimit <- 5
-    meta_batch_start_index <- seq(from=1, to=max, by=10000*batchLimit)
+    meta_batch_start_index <- seq(from=0, to=max, by=10000*batchLimit)
     batches <- length(meta_batch_start_index)
     
     message("V4 Batching data into [", batches, "] calls.")
@@ -311,7 +311,7 @@ google_analytics_4 <- function(viewId,
                          segments=segments,
                          pivots=pivots,
                          cohorts=cohorts,
-                         pageToken = 1,
+                         pageToken = 0,
                          pageSize = max,
                          samplingLevel=samplingLevel,
                          metricFormat=metricFormat,
diff --git a/README.md b/README.md
index a0267552..df97ade7 100644
--- a/README.md
+++ b/README.md
@@ -287,8 +287,8 @@ Details on [cohort reports and LTV can be found here](https://developers.google.
 
 ```r
 ## first make a cohort group
-cohort4 <- make_cohort_group(list("cohort 1" = c("2015-08-01", "2015-08-01"), 
-                                "cohort 2" = c("2015-07-01","2015-07-01")))
+cohort4 <- make_cohort_group(list("Jan2016" = c("2016-01-01", "2016-01-31"), 
+                                "Feb2016" = c("2016-02-01","2016-02-28")))
 
 ## then call cohort report.  No date_range and must include metrics and dimensions
 ##   from the cohort list
@@ -298,9 +298,9 @@ cohort_example <- google_analytics_4(ga_id,
                                      metrics = c('cohortTotalUsers'))
 
 cohort_example
-#     cohort cohortTotalUsers
-# 1 cohort 1               14
-# 2 cohort 2               20
+#    cohort cohortTotalUsers
+# 1 Feb2016            19040
+# 2 Jan2016            23378
 
 ```