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Script to find the best ad in each ad group, and find what performance you could have got if the losing ads' impressions had gone to the winner instead.
/**
*
* Ad Rotate Analysis
*
* This script finds the best ad in each ad group (subject to thresholds) and
* calculates the performance you could have got if the impressions that went to
* losing ads went to the winning ads instead.
*
* Version: 1.1
* Updated 2016-10-11: removed 'ConvertedClicks'
* Updated 2017-01-05: changed 'CreativeApprovalStatus' to 'CombinedApprovalStatus'
* Google AdWords Script maintained on brainlabsdigital.com
*
**/
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
//Options
var spreadsheetUrl = "https://docs.google.com/YOUR-SPREADSHEET-URL-HERE";
// The URL of the Google Doc the results will be put into.
var campaignNameDoesNotContain = [];
// Use this if you want to exclude some campaigns.
// For example ["Display"] would ignore any campaigns with 'Display' in the name,
// while ["Display","Shopping"] would ignore any campaigns with 'Display' or
// 'Shopping' in the name.
// Leave as [] to not exclude any campaigns.
var campaignNameContains = [];
// Use this if you only want to look at some campaigns.
// For example ["Brand"] would only look at campaigns with 'Brand' in the name,
// while ["Brand","Generic"] would only look at campaigns with 'Brand' or 'Generic'
// in the name.
// Leave as [] to include all campaigns.
var ignorePausedCampaigns = true;
// Set this to true to only look at currently active campaigns.
// Set to false to also include campaigns that are currently paused.
var ignorePausedAdGroups = true;
// Set this to true to only look at currently active ad groups.
// Set to false to also include ad groups that are currently paused.
var conversionMetrics = ["Conversions"];
// The spreadsheet will report clicks, impressions and cost and this conversion metric(s).
// Allowed fields: "Conversions", "ConversionValue"
// If you'd like more than one separate witha comma, eg ["Conversions", "ConversionValue"]
// These settings are to set which metric determines an ad is the best in its group
var winningMetricName = "CTR"; // The name used in the output spreadsheet
var winningMetricMultiplier = "Clicks";
var winningMetricDivisor = "Impressions";
// The metric will be calculated by dividing winningMetricMultiplier by winningMetricDivisor
// eg to compare conversions per impression, winningMetricMultiplier is "Conversions"
// and winningMetricDivisor is "Impressions".
// winningMetricMultiplier and winningMetricDivisor can be any of "Impressions", "Clicks",
// "Cost", "Conversions", "ConversionValue"
var impressionThreshold = 1000;
var clickThreshold = 0;
// This is used to weed out low traffic ad groups - only ads with this many
// impressions and clicks are considered
var dateRange = "20160101, 20160630";
// This is the date range for the ad's performance.
// Don't set it too short or there won't be enough traffic!
// Possible values: "LAST_30_DAYS", "LAST_MONTH", "THIS_MONTH"
// or custom date ranges formatted "yyyymmdd, yyyymmdd"
var currencySymbol = "£";
// Used for formatting currencies in the output spreadsheet.
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
//~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~//
// Functions
function main() {
// Check the spreadsheet URL works
var spreadsheet = checkSpreadsheet(spreadsheetUrl, "the spreadsheet");
// Make all of the required sheets
var sheetNames = ["Overview","All Device Ads","Mobile Preferred Ads"];
var sheets = {};
for (var i=0; i<sheetNames.length; i++) {
sheets[sheetNames[i]] = spreadsheet.getSheetByName(sheetNames[i]);
if (sheets[sheetNames[i]] === null) {
sheets[sheetNames[i]] = spreadsheet.insertSheet(sheetNames[i],i);
} else {
sheets[sheetNames[i]].clear();
}
}
// Get the campaign IDs (based on campaignNameDoesNotContain, campaignNameContains and ignorePausedCampaigns)
var campaignIds = getCampaignIds();
// Check all the required metrics are listed, and make sure they are trimmed and correctly capitalised
var allowedFields = ["Conversions", "ConversionValue", "Impressions", "Clicks", "Cost"];
var metricsToReport = ["Impressions", "Clicks", "Cost"].concat(conversionMetrics);
var metrics = checkFieldNames(allowedFields, metricsToReport);
winningMetricMultiplier = checkFieldNames(allowedFields, [winningMetricMultiplier])[0];
winningMetricDivisor = checkFieldNames(allowedFields, [winningMetricDivisor])[0];
if (metrics.indexOf(winningMetricMultiplier) == -1) {
metrics.push(winningMetricMultiplier);
}
if (metrics.indexOf(winningMetricDivisor) == -1) {
metrics.push(winningMetricDivisor);
}
// Run the analysis
rotateAnalysis(campaignIds, sheets, metrics);
Logger.log("Finished rotate analysis.");
}
// Check the spreadsheet URL has been entered, and that it works
function checkSpreadsheet(spreadsheetUrl, spreadsheetName) {
if (spreadsheetUrl.replace(/[AEIOU]/g,"X") == "https://docs.google.com/YXXR-SPRXXDSHXXT-XRL-HXRX") {
throw("Problem with " + spreadsheetName + " URL: make sure you've replaced the default with a valid spreadsheet URL.");
}
try {
var spreadsheet = SpreadsheetApp.openByUrl(spreadsheetUrl);
return spreadsheet;
} catch (e) {
throw("Problem with " + spreadsheetName + " URL: '" + e + "'");
}
}
// Get the IDs of campaigns which match the given options
function getCampaignIds() {
var whereStatement = "WHERE ";
var whereStatementsArray = [];
var campaignIds = [];
if (ignorePausedCampaigns) {
whereStatement += "CampaignStatus = ENABLED ";
} else {
whereStatement += "CampaignStatus IN ['ENABLED','PAUSED'] ";
}
for (var i=0; i<campaignNameDoesNotContain.length; i++) {
whereStatement += "AND CampaignName DOES_NOT_CONTAIN_IGNORE_CASE '" + campaignNameDoesNotContain[i].replace(/"/g,'\\\"') + "' ";
}
if (campaignNameContains.length == 0) {
whereStatementsArray = [whereStatement];
} else {
for (var i=0; i<campaignNameContains.length; i++) {
whereStatementsArray.push(whereStatement + 'AND CampaignName CONTAINS_IGNORE_CASE "' + campaignNameContains[i].replace(/"/g,'\\\"') + '" ');
}
}
for (var i=0; i<whereStatementsArray.length; i++) {
var adTextReport = AdWordsApp.report(
"SELECT CampaignId " +
"FROM CAMPAIGN_PERFORMANCE_REPORT " +
whereStatementsArray[i] +
"DURING LAST_30_DAYS");
var rows = adTextReport.rows();
while (rows.hasNext()) {
var row = rows.next();
campaignIds.push(row['CampaignId']);
}
}
if (campaignIds.length == 0) {
throw("No campaigns found with the given settings.");
}
Logger.log(campaignIds.length + " campaigns found");
return campaignIds;
}
// Verify that all field names are valid, and return a list of them with the
// correct capitalisation
function checkFieldNames(allowedFields, givenFields) {
var allowedFieldsLowerCase = allowedFields.map(function (str){return str.toLowerCase()});
var wantedFields = [];
var unrecognisedFields = [];
for (var i=0; i<givenFields.length; i++) {
var fieldIndex = allowedFieldsLowerCase.indexOf(givenFields[i].toLowerCase().replace(" ","").trim());
if(fieldIndex === -1){
unrecognisedFields.push(fields[i]);
} else {
wantedFields.push(allowedFields[fieldIndex]);
}
}
if (unrecognisedFields.length > 0) {
throw unrecognisedFields.length + " field(s) not recognised: '" + unrecognisedFields.join("', '") +
"'. Please choose from '" + allowedFields.join("', '") + "'.";
}
return wantedFields;
}
// This returns an array of formats corresponding to the given array of metrics
// to use when formatting a Google Sheet
function getFormats(metrics) {
// Note: while these formats use , to separate thousands and . as a decimal marker,
// the way they are shown in the Google Sheet depends on the Sheet's locale setting.
var metricFormats = {};
metricFormats["Conversions"] = "#,###,##0";
metricFormats["ConversionValue"] = currencySymbol + "#,###,##0.00";
metricFormats["Impressions"] = "#,###,##0";
metricFormats["Clicks"] = "#,###,##0";
metricFormats["Cost"] = currencySymbol + "#,###,##0.00";
var formats = [];
for (var i=0; i<metrics.length; i++) {
if (metricFormats[metrics[i]] == undefined) {
formats.push("#,###,##0");
} else {
formats.push(metricFormats[metrics[i]]);
}
}
return formats;
}
// Prints an array of rows into the spreadsheet
// and formats them all according to formatRow
function printFormattedRows(sheet, rows, formatRow) {
try {
if (rows.length == 0) {
Logger.log("Nothing to output in " + sheet.getName());
return;
}
var lastRow = sheet.getLastRow();
sheet.getRange("R" + (lastRow + 1) + "C1:R" + (lastRow+rows.length)
+ "C" + (rows[0].length) ).setValues(rows);
sheet.getRange("R" + (lastRow + 1) + "C1:R" + (lastRow+rows.length)
+ "C" + (rows[0].length) ).clearFormat();
Logger.log("Printed " + rows.length + " rows in " + sheet.getName());
if (formatRow.length > 0) {
var formatRows = [];
for (var i=0; i<rows.length; i++) {
formatRows.push(formatRow);
}
sheet.getRange("R" + (lastRow + 1) + "C1:R" + (lastRow+formatRows.length)
+ "C" + (formatRows[0].length) ).setNumberFormats(formatRows);
}
} catch (e) {
Logger.log("Printing rows in " + sheet.getName() + " failed: " + e);
if (e == "Exception: This action would increase the number of cells in the worksheet above the limit of 2000000 cells.") {
try {
sheet.appendRow(["Not enough space to write the data."]);
} catch (e2) {
Logger.log("Error writing 'not enough space' message: " + e2);
}
}
}
}
// Prints an array of rows into the spreadsheet
// with the given title, headers and format
function printRowsWithTitle(sheet, title, headers, rows, formatRow) {
try {
sheet.getRange("R" + (sheet.getLastRow()+2) + "C1").setValue(title);
sheet.getRange("R" + sheet.getLastRow() + "C1").clearFormat();
sheet.getRange("R" + sheet.getLastRow() + "C1").setFontWeight("bold");
if (rows.length == 0) {
sheet.appendRow(["No data"]);
sheet.getRange("R" + sheet.getLastRow() + "C1").clearFormat();
Logger.log("Nothing to output for '" + title + "'");
return;
}
if (headers.length > 0) {
sheet.appendRow(headers);
sheet.getRange("R" + sheet.getLastRow() + "C1:R" + sheet.getLastRow() + "C" + headers.length).clearFormat();
sheet.getRange("R" + sheet.getLastRow() + "C1:R" + sheet.getLastRow() + "C" + headers.length).setFontStyle("italic");
}
printFormattedRows(sheet, rows, formatRow);
} catch (e) {
Logger.log("Printing rows '" + title + "' failed: " + e);
if (e == "Exception: This action would increase the number of cells in the worksheet above the limit of 2000000 cells.") {
try {
sheet.appendRow(["Not enough space to write the data."]);
} catch (e2) {
Logger.log("Error writing 'not enough space' message: " + e2);
}
}
}
}
// Goes through each ad group to perform the rotation analysis
function rotateAnalysis(campaignIds, sheets, metrics) {
// First we find the ad groups which have multiple ads with enough impressions.
// We need to consider mobile preferred ads separately to desktop ones
var groupsWithImpressions = {};
var groupsWithMultipleAds = {};
var groupsWithMobileImpressions = {};
var groupsWithMultipleMobileAds = {};
if (ignorePausedAdGroups) {
var groupStatus = "AND AdGroupStatus = ENABLED ";
} else {
var groupStatus = "AND AdGroupStatus IN ['ENABLED','PAUSED'] ";
}
var adGroupReport = AdWordsApp.report(
'SELECT CampaignName, AdGroupId, AdGroupName, DevicePreference ' +
'FROM AD_PERFORMANCE_REPORT ' +
'WHERE CampaignId IN [' + campaignIds.join(',') + '] ' + groupStatus +
'AND Status = ENABLED AND Impressions >= ' + impressionThreshold + ' ' +
'AND Clicks >= ' + clickThreshold + ' ' +
'AND CombinedApprovalStatus != DISAPPROVED ' +
'DURING ' + dateRange);
var rows = adGroupReport.rows();
while (rows.hasNext()) {
var row = rows.next();
if (row["DevicePreference"] != "30001") { // This is not mobile preferred ads
if (groupsWithImpressions[row["AdGroupId"]] == undefined) {
// This happens if it is the first time an ad group has appeared in the report
groupsWithImpressions[row["AdGroupId"]] = true;
} else if (groupsWithMultipleAds[row["AdGroupId"]] == undefined) {
// This happens the second time an ad group appears in the report
groupsWithMultipleAds[row["AdGroupId"]] = true;
}
} else { // These are mobile preferred ads.
// They are treated separately, as mobiles will perform differently to other devices
if (groupsWithMobileImpressions[row["AdGroupId"]] == undefined) {
groupsWithMobileImpressions[row["AdGroupId"]] = true;
} else if (groupsWithMultipleMobileAds[row["AdGroupId"]] == undefined) {
groupsWithMultipleMobileAds[row["AdGroupId"]] = true;
}
}
}
if (Object.keys(groupsWithMultipleAds).length == 0 && Object.keys(groupsWithMultipleMobileAds).length == 0) {
Logger.log("No ad groups with more than 1 ad above the impression threshold of " + impressionThreshold + " in the given date range.");
return;
}
Logger.log("Found " + Object.keys(groupsWithMultipleAds).length + " ad groups with multiple all device ads, and " +
Object.keys(groupsWithMultipleMobileAds).length + " ad groups with multiple mobile preferred ads");
// Now we go through the all device ads which have multiple ads over the impression threshold
// and record the stats for all ads
var headers = ["Campaign","Ad Group","Number of Ads","Winning Ad","Winning Ad ID","Winning " +
winningMetricName].concat(metrics.map(function(a){return "Actual " + a.replace(/([A-Z])/g, ' $&').trim();}), ["Actual " + winningMetricName],
metrics.map(function(a){return "Possible " + a.replace(/([A-Z])/g, ' $&').trim();}));
sheets["All Device Ads"].appendRow(headers);
sheets["All Device Ads"].getRange("R" + sheets["All Device Ads"].getLastRow() + "C1:R" + sheets["All Device Ads"].getLastRow() + "C" + headers.length).setFontWeight("bold");
var metricFormats = getFormats(metrics);
var formatRow = ["#,###,##0","#,###,##0","#,###,##0","#,###,##0","#","#,##0.00%"].concat(metricFormats, ["#,##0.00%"], metricFormats);
var initialisedArray = []; // This will be copied whenever we need an array to store metrics in
for (var i = 0; i < metrics.length; i++) {
initialisedArray[i] = 0;
}
var allDeviceTotals = {};
allDeviceTotals['Actual'] = initialisedArray.slice();
allDeviceTotals['Possible'] = initialisedArray.slice();
var devicePreference = '!= "30001"';
var allAdGroupIds = Object.keys(groupsWithMultipleAds);
// We get the data in batches of ad groups, so we don't run out of memory
// and because reports can only take 10,000 IDs at once.
var batchSize = 10000;
for (var i=0; i<allAdGroupIds.length; i+=batchSize) {
// This function outputs the ad group level data, and returns a running total
// of the stats and possible stats
allDeviceTotals = calculateAdGroupPotential(sheets["All Device Ads"], allAdGroupIds.slice(i,i+batchSize), metrics, formatRow, devicePreference, allDeviceTotals);
}
// Sort the new rows in the spreadsheet
if (sheets["All Device Ads"].getLastRow() > 1) {
sheets["All Device Ads"].getRange(2,1,sheets["All Device Ads"].getLastRow()-1,headers.length).sort({column: 7, ascending: false});
}
// Do the same for mobile preferred ads
sheets["Mobile Preferred Ads"].appendRow(headers);
sheets["Mobile Preferred Ads"].getRange("R" + sheets["Mobile Preferred Ads"].getLastRow() + "C1:R" + sheets["Mobile Preferred Ads"].getLastRow() + "C" + headers.length).setFontWeight("bold");
var mobilePreferredTotals = {};
mobilePreferredTotals['Actual'] = initialisedArray.slice();
mobilePreferredTotals['Possible'] = initialisedArray.slice();
var devicePreference = '= "30001"';
var allAdGroupIds = Object.keys(groupsWithMultipleMobileAds);
for (var i=0; i<allAdGroupIds.length; i+=batchSize) {
mobilePreferredTotals = calculateAdGroupPotential(sheets["Mobile Preferred Ads"], allAdGroupIds.slice(i,i+batchSize), metrics, formatRow, devicePreference, mobilePreferredTotals);
}
if (sheets["Mobile Preferred Ads"].getLastRow() > 1) {
sheets["Mobile Preferred Ads"].getRange(2,1,sheets["Mobile Preferred Ads"].getLastRow()-1,headers.length).sort({column: 7, ascending: false});
}
// Total the data
var total = {Actual: [], Possible: [], Difference: [], Percent: []};
for (var i = 0; i < metrics.length; i++) {
total['Actual'][i] = allDeviceTotals['Actual'][i] + mobilePreferredTotals['Actual'][i];
total['Possible'][i] = allDeviceTotals['Possible'][i] + mobilePreferredTotals['Possible'][i];
}
// Calculate the average winning metric
var data = [allDeviceTotals['Actual'], allDeviceTotals['Possible'], mobilePreferredTotals['Actual'], mobilePreferredTotals['Possible'], total['Actual'], total['Possible']];
var multiplierIndex = metrics.indexOf(winningMetricMultiplier);
var divisorIndex = metrics.indexOf(winningMetricDivisor);
for (var i=0; i<data.length; i++) {
if (data[i][divisorIndex] != 0) {
data[i].push(data[i][multiplierIndex] / data[i][divisorIndex]);
} else {
data[i].push("-");
}
}
// Calculate differences between actual and possible, and output an overview
sheets["Overview"].appendRow(["Ad Rotate Analysis"]);
sheets["Overview"].getRange("R1C1").setFontWeight("bold");
var headers = [""].concat(metrics.map(function(a){return a.replace(/([A-Z])/g, ' $&').trim();}), [winningMetricName]);
var rowNames = ["Actual", "Possible", "Difference", "Percent"];
var formatRow = ["#,###,##0"].concat(metricFormats, ["#,##0.00%"]);
allDeviceTotals['Difference'] = [];
allDeviceTotals['Percent'] = [];
mobilePreferredTotals['Difference'] = [];
mobilePreferredTotals['Percent'] = [];
var data = [total, allDeviceTotals, mobilePreferredTotals];
var dataNames = ["Total", "All Device Ads", "Mobile Preferred Ads"];
for (var j = 0; j < data.length; j++) {
for (var i = 0; i < metrics.length + 1; i++) {
if (data[j]['Possible'][i] == "-" || data[j]['Actual'][i] == "-") {
data[j]['Difference'][i] = "-";
data[j]['Percent'][i] = "-";
} else {
data[j]['Difference'][i] = data[j]['Possible'][i] - data[j]['Actual'][i];
if (data[j]['Actual'][i] != 0) {
data[j]['Percent'][i] = (data[j]['Difference'][i] / data[j]['Actual'][i]);
} else {
data[j]['Percent'][i] = "-";
}
}
}
var totalRows = [];
for (var r=0; r<rowNames.length; r++) {
totalRows.push([rowNames[r]].concat(data[j][rowNames[r]]));
}
printRowsWithTitle(sheets["Overview"], dataNames[j], headers, totalRows, formatRow);
sheets["Overview"].getRange("R" + sheets["Overview"].getLastRow() + "C1:R" + sheets["Overview"].getLastRow()
+ "C" + (headers.length) ).setNumberFormat("#,###,##0.00%"); // Format the percent line as percentages
}
}
// This goes thorugh the given ad groups, finds their stats and possible stats and
// writes them to the spreadsheet. It also uses the runningTotals object to keep a
// running total of the stats for the Overview sheet.
function calculateAdGroupPotential(sheet, adGroupIds, metrics, formatRow, devicePreference, runningTotals) {
var initialisedArray = []; // This will be copied whenever we need an array to store metrics in
for (var i = 0; i < metrics.length; i++) {
initialisedArray[i] = 0;
}
var groupData = {};
var impressionIndex = metrics.indexOf('Impressions');
var multiplierIndex = metrics.indexOf(winningMetricMultiplier);
var divisorIndex = metrics.indexOf(winningMetricDivisor);
var adReport = AdWordsApp.report(
'SELECT CampaignName, AdGroupId, AdGroupName, Id, Headline, Description1, Description2, ' + metrics.join(', ') + ' ' +
'FROM AD_PERFORMANCE_REPORT ' +
'WHERE Status = ENABLED AND Impressions >= ' + impressionThreshold + ' ' +
'AND Clicks >= ' + clickThreshold + ' ' +
'AND CombinedApprovalStatus != DISAPPROVED ' +
'AND AdGroupId IN [' + adGroupIds.join(",") + '] ' +
'AND DevicePreference ' + devicePreference + ' ' +
'DURING ' + dateRange);
var rows = adReport.rows();
while (rows.hasNext()) {
var row = rows.next();
if (groupData[row['AdGroupId']] == undefined) {
// If this is the first time we've come across this ad group,
// record its details
groupData[row['AdGroupId']] = {};
groupData[row['AdGroupId']]['Names'] = [row['CampaignName'],row['AdGroupName']];
groupData[row['AdGroupId']]['Ads'] = [];
groupData[row['AdGroupId']]['Total'] = initialisedArray.slice();
}
var adStats = [];
for (var i = 0; i < metrics.length; i++) {
var metric = parseFloat(row[metrics[i]].replace(/,/g, ""));
adStats[i] = metric;
groupData[row['AdGroupId']]['Total'][i] += metric;
}
var adDetails = [row['Headline'],row['Description1'],row['Description2']];
if (adStats[divisorIndex] != 0) {
var winningMetric = adStats[multiplierIndex] / adStats[divisorIndex];
} else {
var winningMetric = 0;
}
groupData[row['AdGroupId']]['Ads'].push([winningMetric,adStats,adDetails, row['Id']]);
}
var outputRows = []; // This will be written to a spreadsheet at the end of the function.
// Go through the ad groups, find the best ad
for (var j=0; j<adGroupIds.length; j++) {
var groupPotential = initialisedArray.slice();
// This will be the stats you could have got if the impressions went to the best ad
// rather than the other ads
var adsToCompare = groupData[adGroupIds[j]]['Ads']; // This is the list of ads
// Order the ads from best to worst
adsToCompare.sort(function(a, b){return b[0]-a[0];});
if (adsToCompare[0][0] == 0) {
// This means the best ad's winning metric has a value of 0.
// So we skip this ad group.
continue;
}
if (adsToCompare[0][0] == adsToCompare[1][0]) {
// This means there are at least 2 ads tied for highest winning metric value
// rather than a single winner. The best stats are the average of the stats
// of these ads
var bestStats = adsToCompare[0][1];
var notBestAdsIndex = null;
for (var a=1; a<adsToCompare.length; a++) {
if (adsToCompare[0][0] == adsToCompare[a][0]) {
for (var i = 0; i < metrics.length; i++) {
bestStats[i] += adsToCompare[a][1][i];
}
} else {
notBestAdsIndex = a;
break;
}
}
if (notBestAdsIndex == null) { // All ads were tied, so no ads lost
continue;
}
var groupPotential = bestStats.slice();
for (var n=notBestAdsIndex; n<adsToCompare.length; n++) {
for (var i = 0; i < metrics.length; i++) {
groupPotential[i] += adsToCompare[n][1][impressionIndex] * bestStats[i] / bestStats[impressionIndex];
}
}
} else {
// There's one ad which is the best.
var bestStats = adsToCompare[0][1];
for (var n=0; n<adsToCompare.length; n++) {
for (var i = 0; i < metrics.length; i++) {
groupPotential[i] += adsToCompare[n][1][impressionIndex] * bestStats[i] / bestStats[impressionIndex];
}
}
}
// Update the running totals
for (var i = 0; i < metrics.length; i++) {
runningTotals['Possible'][i] += groupPotential[i];
runningTotals['Actual'][i] += groupData[adGroupIds[j]]['Total'][i];
}
// Make a row for the output spreadsheet
var line = groupData[adGroupIds[j]]['Names'].concat([adsToCompare.length, adsToCompare[0][2].join(" / "), adsToCompare[0][3], adsToCompare[0][0]], groupData[adGroupIds[j]]['Total']);
if (groupData[adGroupIds[j]]['Total'][divisorIndex] != 0) {
var avgWinningMetric = groupData[adGroupIds[j]]['Total'][multiplierIndex] / groupData[adGroupIds[j]]['Total'][divisorIndex];
} else {
var avgWinningMetric = 0;
}
line.push(avgWinningMetric);
line = line.concat(groupPotential);
outputRows.push(line);
}
// Output the ad groups' data
printFormattedRows(sheet, outputRows, formatRow);
return runningTotals;
}
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