diff --git a/R/R/allocator.R b/R/R/allocator.R
index 254061a5d..7066f6daf 100644
--- a/R/R/allocator.R
+++ b/R/R/allocator.R
@@ -49,7 +49,7 @@
 #' @param constr_mode Character. Options are \code{"eq"} or \code{"ineq"},
 #' indicating constraints with equality or inequality.
 #' @param date_min,date_max Character. Date range to calculate mean (of non-zero spends) and
-#' total spends. Default will consider all dates within window.
+#' total spends. Default will consider all dates within window. Length must be 1.
 #' @return A list object containing allocator result.
 #' @examples
 #' \dontrun{
@@ -186,6 +186,7 @@ robyn_allocator <- function(robyn_object = NULL,
 
   # Spend values based on date range set
   dt_optimCost <- dt_mod %>% slice(startRW:endRW)
+  check_daterange(date_min, date_max, dt_optimCost$ds)
   if (is.null(date_min)) date_min <- min(dt_optimCost$ds)
   if (is.null(date_max)) date_max <- max(dt_optimCost$ds)
   if (date_min < min(dt_optimCost$ds)) date_min <- min(dt_optimCost$ds)
diff --git a/R/R/checks.R b/R/R/checks.R
index 1054ea85d..9a85041e7 100644
--- a/R/R/checks.R
+++ b/R/R/checks.R
@@ -684,3 +684,16 @@ check_run_inputs <- function(cores, iterations, trials, intercept_sign, nevergra
     stop(sprintf("Input 'intercept_sign' must be any of: %s", paste(opts, collapse = ", ")))
   }
 }
+
+check_daterange <- function(date_min, date_max, dates) {
+  if (!is.null(date_min)) {
+    if (length(date_min) > 1) stop("Set a single date for 'date_min' parameter")
+    if (date_min < min(dates)) warning(sprintf(
+      "Parameter 'date_min' not in your data's date range. Changed to '%s'", min(dates)))
+  }
+  if (!is.null(date_max)) {
+    if (length(date_max) > 1) stop("Set a single date for 'date_max' parameter")
+    if (date_max > max(dates)) warning(sprintf(
+      "Parameter 'date_max' not in your data's date range. Changed to '%s'", max(dates)))
+  }
+}
diff --git a/R/man/robyn_allocator.Rd b/R/man/robyn_allocator.Rd
index b8627cac0..9de1ea3b2 100644
--- a/R/man/robyn_allocator.Rd
+++ b/R/man/robyn_allocator.Rd
@@ -82,7 +82,7 @@ Defaults to 100000.}
 indicating constraints with equality or inequality.}
 
 \item{date_min, date_max}{Character. Date range to calculate mean (of non-zero spends) and
-total spends. Default will consider all dates within window.}
+total spends. Default will consider all dates within window. Length must be 1.}
 
 \item{export}{Boolean. Export outcomes into local files?}
 
diff --git a/R/man/robyn_converge.Rd b/R/man/robyn_converge.Rd
index ffb64b2ed..202d16d32 100644
--- a/R/man/robyn_converge.Rd
+++ b/R/man/robyn_converge.Rd
@@ -4,7 +4,7 @@
 \alias{robyn_converge}
 \title{Check Models Convergence}
 \usage{
-robyn_converge(OutputModels, n_cuts = 20, sd_qtref = 3, med_lowb = 3, ...)
+robyn_converge(OutputModels, n_cuts = 20, sd_qtref = 3, med_lowb = 2, ...)
 }
 \arguments{
 \item{OutputModels}{List. Output from \code{robyn_run()}.}
@@ -23,12 +23,13 @@ for median. (Criteria #2). Default to 3.}
 \code{robyn_converge()} consumes \code{robyn_run()} outputs
 and calculate convergence status and builds convergence plots.
 Convergence is calculated by default using the following criteria
-(having kept the default parameters: sd_qtref = 3 and med_lowb = 3):
+(having kept the default parameters: sd_qtref = 3 and med_lowb = 2):
 \describe{
   \item{Criteria #1:}{Last quantile's standard deviation < first 3
   quantiles' mean standard deviation}
-  \item{Criteria #2:}{Last quantile's absolute median < first quantile's
-  absolute median - 3 * first 3 quantiles' mean standard deviation.}
+  \item{Criteria #2:}{Last quantile's absolute median < absolute first
+  quantile's absolute median - 2 * first 3 quantiles' mean standard
+  deviation}
 }
 Both mentioned criteria have to be satisfied to consider MOO convergence.
 }