diff --git a/R/downloads.R b/R/downloads.R
index 9f125ad8..2f3ee899 100644
--- a/R/downloads.R
+++ b/R/downloads.R
@@ -136,12 +136,14 @@ hintr_prepare_agyw_download <- function(output, pjnz,
 #' @param path Path to save output file
 #' @param vmmc_file Optional file object, with path, filename and hash for
 #'   VMMC input
+#' @param ids List of naomi web app queue ids for putting into metadata
 #'
 #' @return Path to output file and metadata for file
 #' @export
 hintr_prepare_datapack_download <- function(output,
                                             path = tempfile(fileext = ".xlsx"),
-                                            vmmc_file = NULL) {
+                                            vmmc_file = NULL,
+                                            ids = NULL) {
   assert_model_output_version(output)
   progress <- new_simple_progress()
   progress$update_progress("PROGRESS_DOWNLOAD_SPECTRUM")
@@ -157,7 +159,7 @@ hintr_prepare_datapack_download <- function(output,
     model_output$output_package,
     model_output$output_package$fit$model_options$psnu_level,
     vmmc_datapack)
-  datapack_metadata <- build_datapack_metadata(model_output$output_package)
+  datapack_metadata <- build_datapack_metadata(model_output$output_package, ids)
   writexl::write_xlsx(list(data = datapack_output, metadata = datapack_metadata),
                       path = path)
   list(
diff --git a/R/pepfar-datapack.R b/R/pepfar-datapack.R
index 84479c93..c5ddb66b 100644
--- a/R/pepfar-datapack.R
+++ b/R/pepfar-datapack.R
@@ -201,18 +201,24 @@ build_datapack_output <- function(naomi_output, psnu_level, dmppt2_output) {
     )
 }
 
-build_datapack_metadata <- function(naomi_output) {
+build_datapack_metadata <- function(naomi_output, ids) {
   meta_period <- get_period_metadata(
     c(naomi_output$fit$model_options$calendar_quarter_t1,
       naomi_output$fit$model_options$calendar_quarter_t2,
       naomi_output$fit$model_options$calendar_quarter_t3,
       naomi_output$fit$model_options$calendar_quarter_t4,
       naomi_output$fit$model_options$calendar_quarter_t5))
+
   info <- attr(naomi_output, "info")
   inputs <- read.csv(text = info$inputs.csv, header = FALSE)
 
   version <- data.frame("version", utils::packageVersion("naomi"))
-  all_data <- list(version, inputs)
+
+  if (!is.null(ids)) {
+    all_data <- list(version, ids, inputs, meta_period)
+  } else {
+    all_data <- list(version, inputs, meta_period)
+  }
 
   max_cols <- max(vapply(all_data, ncol, numeric(1)))
   col_names <- vapply(seq_len(max_cols), function(i) paste0("V", i), character(1))