To gain more insight into the performance of your visitors and customers, I always add audiences to campaigns. This allows you to make bid adjustments based on the performance of these audiences. Depending on the customer, we sometimes added 100 different audiences to a campaign. Instead of tracking these groups every week and changing bid adjustments, we have automated this process.
The latest changes to this script make it possible to decide how the bidadjustment is calculated. You can go for CPA or ROAS. A bidadjustment is set based on the CPA or ROAS of an audience vs. the CPA or ROAS of it's campaign.
We also have scripts for bidadjustments for devices, locations or adschedule. Start automating all of your bidadjustments today.
Settings
In the script you can only adjust the following things:
LOG: Specify whether the script should report the intermediate steps by adjusting the value to 'true'.
DATE_RANGE: The script looks at the conversions and costs over this period.
MINIMUM_CONVERSIONS: Set a minimum number of conversions for an audience. If an audience has less conversions, we won't set a bidadjustment.
MINIMUM_CONVERSIONVALUE: Set a minimum conversionvalue for an audience. If an audience has less revenue, we won't set a bidadjustment.
MINIMUM_COST: Set a minimum amount of cost for an audience. If an audience has spend less, we won't set a bidadjustment.
MINIMUM_CLICKS: Set a minimum number of clicks for an audience. If an audience has less clicks, we won't set a bidadjustment.
KPI: Calculate the bidadjustment based on 'CPA' or 'ROAS'.
CAMPAIGN_LABEL: Select campaigns by using a label.
MAX_BID: Bidadjustment won't be higher then set here.
MIN_BID: Bidadjustment won't be lower then set here.
Scheduling: To generate sufficient data we advise to run the script once a day or once a week.
The script
// Copyright 2021. Increase BV. All Rights Reserved.
//
// Created By: Tibbe van Asten
// for Increase B.V.
//
// Created: 01-03-2019
// Last update: 23-03-2021
//
// ABOUT THE SCRIPT
// With this script we adjust the biddings for audiences in
// active campaigns.
//
////////////////////////////////////////////////////////////////////
var config = {
LOG : true,
DATE_RANGE : "LAST_30_DAYS",
// Optional: Use minimum conversions and/or cost to select audiences
// Leave empty to skip
MINIMUM_CONVERSIONS : "",
MINIMUM_CONVERSIONVALUE : "",
MINIMUM_COST : "",
MINIMUM_CLICKS : "",
// Set bidadjustments based on CPA or ROAS
KPI : "ROAS",
// Optional: Use a campaignlabel to make a selection.
// Leave empty to skip
CAMPAIGN_LABEL : "",
// Bidadjustments won't be higher then MAX_BID and not lower then MIN_BID
// Examples: 1.2 = +20%, 0.8 = -20%, 2 = +100%
MAX_BID : 1.2,
MIN_BID : 0.8
}
////////////////////////////////////////////////////////////////////
function main() {
if(config.KPI != "CPA" && config.KPI != "ROAS"){
throw Error("Set KPI to 'CPA' or 'ROAS' only!");
}
var map = {};
// Depending on use of campaign label, a function is triggered
if(config.CAMPAIGN_LABEL == ""){ map = collectAudiences(map) }
else{ map = collectAudiencesLabel(map) }
if(config.LOG === true){
Logger.log(" ");
Logger.log("...Loop through audiences");
Logger.log(Object.keys(map).length + " items found");
Logger.log(" ");
}
// Set bidadjustments
for (var key in map) {
var campaignIterator = AdsApp
.campaigns()
.withIds([key.split(",")[1]])
.get();
while(campaignIterator.hasNext()){
var campaign = campaignIterator.next();
var ids = [];
ids.push(key.split(",")[1]);
ids.push(key.split(",")[0]);
var audienceIterator = campaign
.targeting()
.audiences()
.withIds([ids])
.get();
while(audienceIterator.hasNext()){
var audience = audienceIterator.next();
audience.bidding().setBidModifier(parseFloat(map[key][0][2]));
Logger.log("Bidadjustment of " + map[key][0][2] + " set for " + map[key][0][0] + " in " + map[key][0][1]);
} // audienceIterator
} // campaignIterator
} // keyIterator
} // function main()
////////////////////////////////////////////////////////////////////
function collectAudiences(map){
var report = AdsApp.report(
"SELECT Id, UserListName, CampaignName, CampaignId, BidModifier, Conversions, ConversionValue, Cost, Clicks " +
"FROM AUDIENCE_PERFORMANCE_REPORT " +
"WHERE BiddingStrategyType IN ['MANUAL_CPC','MANUAL_CPV','MANUAL_CPM'] " +
"AND CampaignStatus = ENABLED " +
"DURING " + config.DATE_RANGE
);
var rows = report.rows();
while(rows.hasNext()){
var row = rows.next();
// Check thresholds
if(config.MINIMUM_CONVERSIONS != "" || config.MINIMUM_CONVERSIONVALUE != "" ||config.MINIMUM_COST != "" || config.MINIMUM_CLICKS != ""){
if(row["Conversions"] < config.MINIMUM_CONVERSIONS || row["ConversionValue"] < config.MINIMUM_CONVERSIONVALUE || row["Cost"] < config.MINIMUM_COST || row["Clicks"] < config.MINIMUM_CLICKS) continue;
}
var campaignKpi = parseFloat(getCampaignKpi(row["CampaignId"])).toFixed(2);
var oldBid = parseFloat(1 + (row["BidModifier"].split("%")[0] / 100)).toFixed(2);
// Calculate KPI's and new bid
if(config.KPI == "CPA"){ var audienceKpi = parseFloat(row["Cost"] / row["Conversions"]).toFixed(2); var newBid = parseFloat(campaignKpi / audienceKpi).toFixed(2); }
if(config.KPI == "ROAS"){ var audienceKpi = parseFloat(row["ConversionValue"] / row["Cost"]).toFixed(2); var newBid = parseFloat(audienceKpi / campaignKpi).toFixed(2); }
// If there is a CPA, we will set a bidadjustment
if(isNaN(newBid) === false && isFinite(audienceKpi) === true) {
if(newBid < config.MIN_BID) { newBid = parseFloat(config.MIN_BID).toFixed(2); }
if(newBid > config.MAX_BID) { newBid = parseFloat(config.MAX_BID).toFixed(2); }
// Add to map
if(newBid != oldBid) {
if(map[row["Id"] + "," + row["CampaignId"]] == null) {
map[row["Id"] + "," + row["CampaignId"]] = [];
}
map[row["Id"] + "," + row["CampaignId"]].push([row["UserListName"], row["CampaignName"], newBid]);
if(config.LOG === true){
Logger.log("Audience " + row["UserListName"] + " in " + row["CampaignName"]);
Logger.log("Current bidadjustment: " + row["BidModifier"] + " = " + oldBid);
Logger.log("Audience " + config.KPI + ": " + audienceKpi + ", Campain " + config.KPI + ": " + campaignKpi + ", New bid: " + newBid);
Logger.log("------------");
}
}
} // Check bid
} // rowIterator
return map
}
////////////////////////////////////////////////////////////////////
function collectAudiencesLabel(map){
var campaignIterator = AdsApp
.campaigns()
.withCondition("Status = ENABLED")
.withCondition("LabelNames CONTAINS_ANY ['" + config.CAMPAIGN_LABEL + "']")
.get();
while(campaignIterator.hasNext()){
var campaign = campaignIterator.next();
// Collecting all audience data
var report = AdsApp.report(
"SELECT Id, UserListName, CampaignName, CampaignId, BidModifier, Conversions, ConversionValue, Cost, Clicks " +
"FROM AUDIENCE_PERFORMANCE_REPORT " +
"WHERE BiddingStrategyType IN ['MANUAL_CPC','MANUAL_CPV','MANUAL_CPM'] " +
"AND CampaignId = " + campaign.getId() +
" DURING " + config.DATE_RANGE
);
var rows = report.rows();
while(rows.hasNext()){
var row = rows.next();
// Check thresholds
if(config.MINIMUM_CONVERSIONS != "" || config.MINIMUM_CONVERSIONVALUE != "" ||config.MINIMUM_COST != "" || config.MINIMUM_CLICKS != ""){
if(row["Conversions"] < config.MINIMUM_CONVERSIONS || row["ConversionValue"] < config.MINIMUM_CONVERSIONVALUE || row["Cost"] < config.MINIMUM_COST || row["Clicks"] < config.MINIMUM_CLICKS) continue;
}
// Campaign performance
var campaignKpi = parseFloat(getCampaignKpi(row["CampaignId"])).toFixed(2);
var oldBid = parseFloat(1 + (row["BidModifier"].split("%")[0] / 100)).toFixed(2);
// Calculate KPI's and new bid
if(config.KPI == "CPA"){ var audienceKpi = parseFloat(row["Cost"] / row["Conversions"]).toFixed(2); var newBid = parseFloat(campaignKpi / audienceKpi).toFixed(2); }
if(config.KPI == "ROAS"){ var audienceKpi = parseFloat(row["ConversionValue"] / row["Cost"]).toFixed(2); var newBid = parseFloat(audienceKpi / campaignKpi).toFixed(2); }
// If there is a CPA, we will set a bidadjustment
if(isNaN(newBid) === false && isFinite(audienceKpi) === true) {
if(newBid < config.MIN_BID) { newBid = parseFloat(config.MIN_BID).toFixed(2); }
if(newBid > config.MAX_BID) { newBid = parseFloat(config.MAX_BID).toFixed(2); }
// Add to map
if(newBid != oldBid) {
if(map[row["Id"] + "," + row["CampaignId"]] == null) {
map[row["Id"] + "," + row["CampaignId"]] = [];
}
map[row["Id"] + "," + row["CampaignId"]].push([row["UserListName"], row["CampaignName"], newBid]);
if(config.LOG === true){
Logger.log("Audience " + row["UserListName"] + " in " + row["CampaignName"]);
Logger.log("Current bidadjustment: " + row["BidModifier"] + " = " + oldBid);
Logger.log("Audience " + config.KPI + ": " + audienceKpi + ", Campain " + config.KPI + ": " + campaignKpi + ", New bid: " + newBid);
Logger.log("------------");
}
}
} // Check bid
} // rowIterator
} // campaignIterator
return map
}
////////////////////////////////////////////////////////////////////
function getCampaignKpi(campaignId){
var report = AdsApp.report(
"SELECT Cost, Conversions, ConversionValue " +
"FROM CAMPAIGN_PERFORMANCE_REPORT " +
"WHERE CampaignId = '" + campaignId + "' " +
"DURING " + config.DATE_RANGE
);
var rows = report.rows();
while(rows.hasNext()){
var campaign = rows.next();
if(config.KPI == "CPA"){ var campaignKpi = campaign["Cost"] / campaign["Conversions"]; }
if(config.KPI == "ROAS"){ var campaignKpi = campaign["ConversionValue"] / campaign["Cost"]; }
} // campaignIterator
return campaignKpi;
} // function getCampaignKpi()
Show whole script!
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The Experts
Tibbe van AstenTeam Lead Performance Marketing
Nils RooijmansWater Cooler Topics
Martijn KraanFreelance PPC Specialist
Bas BaudoinTeamlead SEA @ Happy Leads
Jermaya LeijenDigital Marketing Strategist
Krzysztof BycinaPPC Specialist from Poland
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