diff --git a/NAMESPACE b/NAMESPACE
index 929aec9b1..7bdb5f0ff 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -8,7 +8,7 @@ export(aka)
 export(as_label)
 export(as_name)
 export(emissions_profile)
-export(emissions_profile_any_add_values_to_categorize)
+export(emissions_profile_any_add_profile_ranking)
 export(emissions_profile_upstream)
 export(enquo)
 export(enquos)
diff --git a/NEWS.md b/NEWS.md
index 924af0173..2b7fb4689 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -2,16 +2,16 @@
 
 # tiltIndicator 0.0.0.9098
 
-* `emissions_profile_any_add_values_to_categorize()` now relocates the new
+* `emissions_profile_any_add_profile_ranking()` now relocates the new
 columns to the left.
 
 # tiltIndicator 0.0.0.9097
 
-* `emissions_profile*()` uses `co2$values_to_categorize` if present (#605).
+* `emissions_profile*()` uses `co2$profile_ranking` if present (#605).
 
 # tiltIndicator 0.0.0.9096
 
-* New pre-processing helper `emissions_profile_any_add_values_to_categorize()`
+* New pre-processing helper `emissions_profile_any_add_profile_ranking()`
 (#602).
 
 # tiltIndicator 0.0.0.9095
diff --git a/R/emissions_profile_any_add_values_to_categorize.R b/R/emissions_profile_any_add_values_to_categorize.R
index cc5ddc480..2017a2144 100644
--- a/R/emissions_profile_any_add_values_to_categorize.R
+++ b/R/emissions_profile_any_add_values_to_categorize.R
@@ -6,7 +6,7 @@
 #' @family pre-processing helpers
 #'
 #' @return The input data frame with the additional columns `grouped_by` and
-#'   `values_to_categorize` and one row per benchmark per company.
+#'   `profile_ranking` and one row per benchmark per company.
 #'
 #' @export
 #'
@@ -18,25 +18,25 @@
 #' companies <- read_csv(toy_emissions_profile_any_companies())
 #'
 #' products <- read_csv(toy_emissions_profile_products())
-#' products |> emissions_profile_any_add_values_to_categorize()
+#' products |> emissions_profile_any_add_profile_ranking()
 #'
 #' inputs <- read_csv(toy_emissions_profile_upstream_products())
-#' inputs |> emissions_profile_any_add_values_to_categorize()
-emissions_profile_any_add_values_to_categorize <- function(data) {
-  check_emissions_profile_any_add_values_to_categorize(data)
+#' inputs |> emissions_profile_any_add_profile_ranking()
+emissions_profile_any_add_profile_ranking <- function(data) {
+  check_emissions_profile_any_add_profile_ranking(data)
 
-  if (hasName(data, "values_to_categorize")) {
+  if (hasName(data, "profile_ranking")) {
     out <- check_crucial_names(data, "grouped_by")
   } else {
     benchmarks <- set_names(epa_benchmarks(data), flat_benchmarks(data))
     out <- map_df(benchmarks, ~ add_rank(data, .x), .id = "grouped_by")
   }
 
-  related_cols <- c("grouped_by", "values_to_categorize")
+  related_cols <- c("grouped_by", "profile_ranking")
   relocate(out, all_of(related_cols))
 }
 
-check_emissions_profile_any_add_values_to_categorize <- function(data) {
+check_emissions_profile_any_add_profile_ranking <- function(data) {
   crucial <- c(aka("tsector"), aka("xunit"), aka("isic"), aka("co2footprint"))
   walk(crucial, \(pattern) check_matches_name(data, pattern))
 }
@@ -64,7 +64,7 @@ add_rank <- function(data, .by) {
   if (identical(.by, "all")) .by <- NULL
   mutate(
     data,
-    values_to_categorize = rank_proportion(.data[[extract_name(data, aka("co2footprint"))]]),
+    profile_ranking = rank_proportion(.data[[extract_name(data, aka("co2footprint"))]]),
     .by = all_of(.by)
   )
 }
diff --git a/R/emissions_profile_any_at_product_level.R b/R/emissions_profile_any_at_product_level.R
index 3b41a6810..515a5ef84 100644
--- a/R/emissions_profile_any_at_product_level.R
+++ b/R/emissions_profile_any_at_product_level.R
@@ -10,7 +10,7 @@ emissions_profile_any_at_product_level <- function(companies,
   .co2 <- prepare_co2(co2, low_threshold, high_threshold)
 
   .co2 |>
-    emissions_profile_any_add_values_to_categorize() |>
+    emissions_profile_any_add_profile_ranking() |>
     add_risk_category(low_threshold, high_threshold) |>
     join_companies(.companies) |>
     epa_select_cols_at_product_level() |>
diff --git a/R/sector_profile_at_product_level.R b/R/sector_profile_at_product_level.R
index 6d62d95ec..ae80f525e 100644
--- a/R/sector_profile_at_product_level.R
+++ b/R/sector_profile_at_product_level.R
@@ -9,7 +9,7 @@ sector_profile_at_product_level <- function(companies,
   .scenarios <- prepare_scenarios(scenarios, low_threshold, high_threshold)
 
   .companies |>
-    spa_add_values_to_categorize(.scenarios) |>
+    spa_add_profile_ranking(.scenarios) |>
     add_risk_category(low_threshold, high_threshold, .default = NA) |>
     spa_polish_output_at_product_level() |>
     sp_select_cols_at_product_level() |>
diff --git a/R/sector_profile_upstream_at_product_level.R b/R/sector_profile_upstream_at_product_level.R
index bd7f812d2..1049a4982 100644
--- a/R/sector_profile_upstream_at_product_level.R
+++ b/R/sector_profile_upstream_at_product_level.R
@@ -11,7 +11,7 @@ sector_profile_upstream_at_product_level <- function(companies,
   .inputs <- prepare_inputs(inputs)
 
   .inputs |>
-    spa_add_values_to_categorize(.scenarios) |>
+    spa_add_profile_ranking(.scenarios) |>
     add_risk_category(low_threshold, high_threshold, .default = NA) |>
     join_companies(remove_col_scenario(.companies)) |>
     spa_polish_output_at_product_level() |>
diff --git a/R/spa.R b/R/spa.R
index e503b0971..a7852331d 100644
--- a/R/spa.R
+++ b/R/spa.R
@@ -39,10 +39,10 @@ prepare_scenarios <- function(data, low_threshold, high_threshold) {
   data |>
     mutate(low_threshold = low_threshold, high_threshold = high_threshold) |>
     distinct() |>
-    rename(values_to_categorize = aka("co2reduce"))
+    rename(profile_ranking = aka("co2reduce"))
 }
 
-spa_add_values_to_categorize <- function(data, scenarios) {
+spa_add_profile_ranking <- function(data, scenarios) {
   left_join(
     data, scenarios,
     by = c(aka("scenario_type"), aka("xsector"), aka("xsubsector")),
diff --git a/R/utils.R b/R/utils.R
index bac484142..32719de27 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -105,7 +105,7 @@ abort_missing_names <- function(missing_names) {
 
 add_risk_category <- function(data, low_threshold, high_threshold, ...) {
   mutate(data, risk_category = categorize_risk(
-    .data$values_to_categorize, .data$low_threshold, .data$high_threshold, ...
+    .data$profile_ranking, .data$low_threshold, .data$high_threshold, ...
   ))
 }
 
diff --git a/man/emissions_profile_any_add_values_to_categorize.Rd b/man/emissions_profile_any_add_values_to_categorize.Rd
index fe05c766d..a6b8075ef 100644
--- a/man/emissions_profile_any_add_values_to_categorize.Rd
+++ b/man/emissions_profile_any_add_values_to_categorize.Rd
@@ -1,11 +1,11 @@
 % Generated by roxygen2: do not edit by hand
 % Please edit documentation in
-%   R/emissions_profile_any_add_values_to_categorize.R
-\name{emissions_profile_any_add_values_to_categorize}
-\alias{emissions_profile_any_add_values_to_categorize}
+%   R/emissions_profile_any_add_profile_ranking.R
+\name{emissions_profile_any_add_profile_ranking}
+\alias{emissions_profile_any_add_profile_ranking}
 \title{Add values to categorize}
 \usage{
-emissions_profile_any_add_values_to_categorize(data)
+emissions_profile_any_add_profile_ranking(data)
 }
 \arguments{
 \item{data}{A "co2-like" data frame -- i.e. containing products or
@@ -13,7 +13,7 @@ upstream-products (a.k.a. inputs).}
 }
 \value{
 The input data frame with the additional columns \code{grouped_by} and
-\code{values_to_categorize} and one row per benchmark per company.
+\code{profile_ranking} and one row per benchmark per company.
 }
 \description{
 Add values to categorize
@@ -26,10 +26,10 @@ options(readr.show_col_types = FALSE)
 companies <- read_csv(toy_emissions_profile_any_companies())
 
 products <- read_csv(toy_emissions_profile_products())
-products |> emissions_profile_any_add_values_to_categorize()
+products |> emissions_profile_any_add_profile_ranking()
 
 inputs <- read_csv(toy_emissions_profile_upstream_products())
-inputs |> emissions_profile_any_add_values_to_categorize()
+inputs |> emissions_profile_any_add_profile_ranking()
 }
 \seealso{
 Other pre-processing helpers: 
diff --git a/man/sector_profile_any_pivot_type_sector_subsector.Rd b/man/sector_profile_any_pivot_type_sector_subsector.Rd
index 7bf4cbccd..4ad0da534 100644
--- a/man/sector_profile_any_pivot_type_sector_subsector.Rd
+++ b/man/sector_profile_any_pivot_type_sector_subsector.Rd
@@ -34,7 +34,7 @@ companies
 }
 \seealso{
 Other pre-processing helpers: 
-\code{\link{emissions_profile_any_add_values_to_categorize}()},
+\code{\link{emissions_profile_any_add_profile_ranking}()},
 \code{\link{sector_profile_any_prepare_scenario}()},
 \code{\link{sector_profile_any_prune_companies}()}
 }
diff --git a/man/sector_profile_any_prepare_scenario.Rd b/man/sector_profile_any_prepare_scenario.Rd
index 060967634..13224a890 100644
--- a/man/sector_profile_any_prepare_scenario.Rd
+++ b/man/sector_profile_any_prepare_scenario.Rd
@@ -28,7 +28,7 @@ sector_profile_any_prepare_scenario(raw_scenarios)
 }
 \seealso{
 Other pre-processing helpers: 
-\code{\link{emissions_profile_any_add_values_to_categorize}()},
+\code{\link{emissions_profile_any_add_profile_ranking}()},
 \code{\link{sector_profile_any_pivot_type_sector_subsector}()},
 \code{\link{sector_profile_any_prune_companies}()}
 }
diff --git a/man/sector_profile_any_prune_companies.Rd b/man/sector_profile_any_prune_companies.Rd
index 56b10ad44..ab9ed0b64 100644
--- a/man/sector_profile_any_prune_companies.Rd
+++ b/man/sector_profile_any_prune_companies.Rd
@@ -39,7 +39,7 @@ sector_profile_any_prune_companies(companies)
 }
 \seealso{
 Other pre-processing helpers: 
-\code{\link{emissions_profile_any_add_values_to_categorize}()},
+\code{\link{emissions_profile_any_add_profile_ranking}()},
 \code{\link{sector_profile_any_pivot_type_sector_subsector}()},
 \code{\link{sector_profile_any_prepare_scenario}()}
 }
diff --git a/tests/testthat/test-emissions_profile_any_add_values_to_categorize.R b/tests/testthat/test-emissions_profile_any_add_values_to_categorize.R
index a959ec44c..c6b7980c8 100644
--- a/tests/testthat/test-emissions_profile_any_add_values_to_categorize.R
+++ b/tests/testthat/test-emissions_profile_any_add_values_to_categorize.R
@@ -1,33 +1,33 @@
 test_that("works with any 'co2-like' dataset", {
   co2 <- example_products()
-  expect_no_error(emissions_profile_any_add_values_to_categorize(co2))
+  expect_no_error(emissions_profile_any_add_profile_ranking(co2))
 
   co2 <- example_inputs()
-  expect_no_error(emissions_profile_any_add_values_to_categorize(co2))
+  expect_no_error(emissions_profile_any_add_profile_ranking(co2))
 })
 
-test_that("adds columns `grouped_by` and `values_to_categorize`", {
+test_that("adds columns `grouped_by` and `profile_ranking`", {
   co2 <- example_products()
 
-  out <- emissions_profile_any_add_values_to_categorize(co2)
+  out <- emissions_profile_any_add_profile_ranking(co2)
 
-  new_names <- c("grouped_by", "values_to_categorize")
+  new_names <- c("grouped_by", "profile_ranking")
   expect_equal(setdiff(names(out), names(co2)), new_names)
 })
 
-test_that("adds columns `grouped_by` and `values_to_categorize` to the left", {
+test_that("adds columns `grouped_by` and `profile_ranking` to the left", {
   co2 <- example_products()
 
-  out <- emissions_profile_any_add_values_to_categorize(co2)
+  out <- emissions_profile_any_add_profile_ranking(co2)
 
-  new_names <- c("grouped_by", "values_to_categorize")
+  new_names <- c("grouped_by", "profile_ranking")
   expect_equal(names(out)[1:2], new_names)
 })
 
 test_that("with one company, adds one row per benchmark per company", {
   co2 <- example_products()
 
-  out <- emissions_profile_any_add_values_to_categorize(co2)
+  out <- emissions_profile_any_add_profile_ranking(co2)
 
   number_of_benchmarks <- length(flat_benchmarks(co2))
   expect_equal(nrow(out), number_of_benchmarks)
@@ -36,7 +36,7 @@ test_that("with one company, adds one row per benchmark per company", {
 test_that("with two companies, adds one row per benchmark per company", {
   co2 <- example_products(!!aka("id") := c("a", "b"))
 
-  out <- emissions_profile_any_add_values_to_categorize(co2)
+  out <- emissions_profile_any_add_profile_ranking(co2)
 
   number_of_benchmarks <- length(flat_benchmarks(co2))
   expect_equal(nrow(out), 2 * number_of_benchmarks)
@@ -47,24 +47,24 @@ test_that("without crucial columns errors gracefully", {
 
   crucial <- aka("tsector")
   bad <- select(co2, -all_of(crucial))
-  expect_error(emissions_profile_any_add_values_to_categorize(bad), crucial)
+  expect_error(emissions_profile_any_add_profile_ranking(bad), crucial)
 
   crucial <- aka("xunit")
   bad <- select(co2, -all_of(crucial))
-  expect_error(emissions_profile_any_add_values_to_categorize(bad), crucial)
+  expect_error(emissions_profile_any_add_profile_ranking(bad), crucial)
 
   crucial <- aka("isic")
   bad <- select(co2, -all_of(crucial))
-  expect_error(emissions_profile_any_add_values_to_categorize(bad), crucial)
+  expect_error(emissions_profile_any_add_profile_ranking(bad), crucial)
 
   crucial <- aka("co2footprint")
   bad <- select(co2, -all_of(crucial))
-  expect_error(emissions_profile_any_add_values_to_categorize(bad), crucial)
+  expect_error(emissions_profile_any_add_profile_ranking(bad), crucial)
 })
 
-test_that("if `values_to_categorize` is present, `grouped_by` must be present", {
-  co2 <- example_products(values_to_categorize = 1)
+test_that("if `profile_ranking` is present, `grouped_by` must be present", {
+  co2 <- example_products(profile_ranking = 1)
 
   crucial <- "grouped_by"
-  expect_error(emissions_profile_any_add_values_to_categorize(co2), crucial)
+  expect_error(emissions_profile_any_add_profile_ranking(co2), crucial)
 })
diff --git a/tests/testthat/test-emissions_profile_any_at_product_level.R b/tests/testthat/test-emissions_profile_any_at_product_level.R
index 16fbd8b48..dc61ee3cd 100644
--- a/tests/testthat/test-emissions_profile_any_at_product_level.R
+++ b/tests/testthat/test-emissions_profile_any_at_product_level.R
@@ -287,46 +287,46 @@ test_that("`*rowid` columns are passed through inputs with duplicates", {
   expect_true(hasName(out, "products_rowid"))
 })
 
-test_that("with products, uses `co2$values_to_categorize` if present (#603)", {
+test_that("with products, uses `co2$profile_ranking` if present (#603)", {
   companies <- example_companies()
   co2 <- example_products(!!aka("uid") := c("a", "b"))
   co2[extract_name(co2, aka("co2footprint"))] <- 1:2
 
-  lacks_values_to_categorize <- !hasName(co2, "values_to_categorize")
-  stopifnot(lacks_values_to_categorize)
+  lacks_profile_ranking <- !hasName(co2, "profile_ranking")
+  stopifnot(lacks_profile_ranking)
   out1 <- emissions_profile_any_at_product_level(companies, co2)
   using_computed_values <- unique(out1$risk_category)
 
-  pre_computed <- emissions_profile_any_add_values_to_categorize(co2)
-  has_values_to_categorize <- hasName(pre_computed, "values_to_categorize")
-  stopifnot(has_values_to_categorize)
+  pre_computed <- emissions_profile_any_add_profile_ranking(co2)
+  has_profile_ranking <- hasName(pre_computed, "profile_ranking")
+  stopifnot(has_profile_ranking)
 
   yields_a_different_risk_category <- 999
-  pre_computed$values_to_categorize <- yields_a_different_risk_category
+  pre_computed$profile_ranking <- yields_a_different_risk_category
   out2 <- emissions_profile_any_at_product_level(companies, pre_computed)
   using_pre_computed_values <- unique(out2$risk_category)
 
   expect_false(identical(using_computed_values, using_pre_computed_values))
 })
 
-test_that("with inputs, uses `co2$values_to_categorize` if present (#603)", {
+test_that("with inputs, uses `co2$profile_ranking` if present (#603)", {
   companies <- example_companies()
   co2 <- example_inputs(!!aka("uid") := c("a", "b"))
   # This is wrong: names(example_inputs(!!aka("co2footprint") := 1:2))
   # It yields two columns: `co2_footprint` AND `input_co2_footprint`
   co2[extract_name(co2, aka("co2footprint"))] <- 1:2
 
-  lacks_values_to_categorize <- !hasName(co2, "values_to_categorize")
-  stopifnot(lacks_values_to_categorize)
+  lacks_profile_ranking <- !hasName(co2, "profile_ranking")
+  stopifnot(lacks_profile_ranking)
   out1 <- emissions_profile_any_at_product_level(companies, co2)
   using_computed_values <- unique(out1$risk_category)
 
-  pre_computed <- emissions_profile_any_add_values_to_categorize(co2)
-  has_values_to_categorize <- hasName(pre_computed, "values_to_categorize")
-  stopifnot(has_values_to_categorize)
+  pre_computed <- emissions_profile_any_add_profile_ranking(co2)
+  has_profile_ranking <- hasName(pre_computed, "profile_ranking")
+  stopifnot(has_profile_ranking)
 
   yields_a_different_risk_category <- 999
-  pre_computed$values_to_categorize <- yields_a_different_risk_category
+  pre_computed$profile_ranking <- yields_a_different_risk_category
   out2 <- emissions_profile_any_at_product_level(companies, pre_computed)
   using_pre_computed_values <- unique(out2$risk_category)