docs: new MMM API demo script (beta users)

R/DESCRIPTION

@@ -1,7 +1,7 @@
 Package: Robyn
 Type: Package
 Title: Semi-Automated Marketing Mix Modeling (MMM) from Meta Marketing Science 
-Version: 3.10.4.9999
+Version: 3.10.4.9000
 Authors@R: c(
     person("Gufeng", "Zhou", , "[email protected]", c("aut")),
     person("Leonel", "Sentana", , "[email protected]", c("aut")),

demo/mmm_api.R

@@ -0,0 +1,100 @@
+library(lares) # Please update to latest dev or stable version
+stopifnot(packageVersion("lares") >= "5.2.0")
+
+### COMMENTS
+# - Ads Insights limit: Calls within one hour = 60 + 400 * Number of Active ads - 0.001 * User Errors
+# - Filtering allowed for MMM breakdown: campaign.id, campaign.name, adset.id, adset.name, country,
+# region, dma, device_platform, publisher_platform, platform_position.
+# - MMM Report: Ads data is available from April 01, 2020 onwards.
+
+### Generate a taken from API Graph with ads_read permissions
+# Api Graph: https://developers.facebook.com/tools/explorer
+token <- "YOURTOKEN"
+
+# To create a long-life token, you can setup an App and generate it with
+# token <- fb_token(app_id = "AAAAAAAAAAA", app_secret = "XXXXXXXXXXXXX", token)
+
+# Fetch all accounts for a specific Business ID with the API
+# accts <- fb_accounts(token, business_id = "BBBBBBBBBB")
+
+# Set which account ID you want to fetch the data from (note it must start with "act_")
+account <- "act_1234567890"
+
+# Request async report with a lot of data that can't be queried in a single run
+async_report <- fb_insights(
+  token = token,
+  which = account,
+  breakdowns = "mmm",
+  start_date = "2023-05-01",
+  end_date = "2023-05-15",
+  time_increment = 1, # Daily data: 1, Weekly data: 7, Monthly data: "monthly"
+  # filtering = dplyr::tibble(field = "country", operator = "IN", value = list("PE")), # Example
+  fields = NULL, # Return default MMM fields
+  report_level = "adset", # Only adset report_level is accepted for MMM
+  async = TRUE # Only available in latest dev version
+)
+
+##### SOME API ERRORS YOU MIGHT ENCOUNTER:
+# 1. There have been too many calls from this ad-account. Wait a bit and try again.
+# For more info, please refer to https://developers.facebook.com/docs/graph-api/overview/rate-limiting.
+# 2. Please reduce the amount of data you're asking for, then retry your request.
+# 3. Missing permissions.
+# 4. Result for MMM request contains total less than the minimum of 100000 impressions.
+
+# Check status for the request report until it's finished (~live)
+status <- fb_report_check(token, async_report$report_run_id, live = TRUE)
+
+# Fetch all the results by small chunks (it may crash if too much data in your report; consider sleep param)
+report <- fb_insights(
+  token = token,
+  which = async_report$report_run_id,
+  fields = NULL, # No need to select fields when fetching a report
+  paginate = TRUE, # First time: check setting to 5 maybe
+  limit = 100, # 100 rows per pagination/batch
+  quiet = FALSE # Show status messages
+)
+
+# Did we get ALL the data?
+attr(report, "paging_done")
+
+# If you reach the hourly limit, you can use the URL provided in the warning to continue later on
+# or automatically pick it up from the (partial) data.frame returned
+error_url <- attr(report, "paging")[["next"]]
+report_append <- fb_process(error_url, paginate = TRUE)
+attr(report_append, "paging_done")
+# Then append: report <- rbind(report, report_append)
+
+# Check the data
+str(report)
+data.frame(head(report))
+
+#################################################################
+
+# NO REGIONAL & CUSTOM DATA (given Robyn doesn't support panel data (DMA) yet)
+# Keep in mind lots of breakdown fields can't be mixed
+account <- "act_1234567890"
+report_custom <- fb_insights(
+  token = token,
+  which = account,
+  start_date = "2022-05-01",
+  end_date = "2023-05-15",
+  fields = c("account_id", "account_name",
+             "campaign_id", "campaign_name",
+             "objective", "optimization_goal",
+             "adset_id", "adset_name",
+             "impressions", "spend"),
+  breakdowns = c("device_platform"),
+  filtering = data.frame(
+    field = "impressions",
+    operator = "GREATER_THAN",
+    value = 100
+  ),
+  report_level = "adset",
+  time_increment = 1,
+  limit = 100,
+  paginate = TRUE
+)
+
+# Check the data
+str(report_custom)
+data.frame(head(report_custom))