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search-query-mining-with-quality-score.js
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1134 lines (970 loc) · 46.5 KB
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// ID: b6b6d806968d0e706ed1518275212eb1
/**
*
* Search Query Mining With Quality Score Tool
*
* This script calculates the contribution of each word or phrase found in the
* search query report and outputs a report into a Google Doc spreadsheet.
*
* Version: 1.0
* Google AdWords Script maintained on brainlabsdigital.com
*
**/
function main() {
//////////////////////////////////////////////////////////////////////////////
// Options
var startDate = "2018-07-01";
var endDate = "2018-07-30";
// The start and end date of the date range for your search query data
// Format is yyyy-mm-dd
var currencySymbol = "£";
// The currency symbol used for formatting. For example "£", "$" or "€".
var campaignNameContains = "";
// Use this if you only want to look at some campaigns
// such as campaigns with names containing 'Brand' or 'Shopping'.
// Leave as "" if not wanted.
var campaignNameDoesNotContain = "";
// Use this if you want to exclude some campaigns
// such as campaigns with names containing 'Brand' or 'Shopping'.
// Leave as "" if not wanted.
var ignorePausedCampaigns = true;
// Set this to true to only look at currently active campaigns.
// Set to false to include campaigns that had impressions but are currently paused.
var ignorePausedAdGroups = true;
// Set this to true to only look at currently active ad groups.
// Set to false to include ad groups that had impressions but are currently paused.
var checkNegatives = true;
// Set this to true to remove queries that would be excluded by your negative keywords.
var spreadsheetUrl = "https://docs.google.com/YOUR-SPREADSHEET-URL-HERE";
// The URL of the Google Doc the results will be put into.
var minNGramLength = 1;
var maxNGramLength = 2;
// The word length of phrases to be checked.
// For example if minNGramLength is 1 and maxNGramLength is 3,
// phrases made of 1, 2 and 3 words will be checked.
// Change both min and max to 1 to just look at single words.
var clearSpreadsheet = true;
//////////////////////////////////////////////////////////////////////////////
// Thresholds
var queryCountThreshold = 0;
var impressionThreshold = 10;
var clickThreshold = 0;
// Words will be ignored if their statistics are lower than any of these thresholds
// This is what you'll see if Adwords doesn't report a quality score.
var DEFAULT_QUALITY_SCORE = "-";
//////////////////////////////////////////////////////////////////////////////
// Check the spreadsheet has been entered, and that it works
if (spreadsheetUrl.replace(/[AEIOU]/g, "X") == "https://docs.google.com/YXXR-SPRXXDSHXXT-XRL-HXRX") {
Logger.log("Problem with the spreadsheet URL: make sure you've replaced the default with a valid spreadsheet URL.");
return;
}
try {
var spreadsheet = SpreadsheetApp.openByUrl(spreadsheetUrl);
} catch (e) {
Logger.log("Problem with the spreadsheet URL: '" + e + "'");
return;
}
// Get the IDs of the campaigns to look at
var dateRange = startDate.replace(/-/g, "") + "," + endDate.replace(/-/g, "");
var activeCampaignIds = [];
var whereStatements = "";
if (campaignNameDoesNotContain != "") {
whereStatements += "AND CampaignName DOES_NOT_CONTAIN_IGNORE_CASE '" + campaignNameDoesNotContain + "' ";
}
if (ignorePausedCampaigns) {
whereStatements += "AND CampaignStatus = ENABLED ";
} else {
whereStatements += "AND CampaignStatus IN ['ENABLED','PAUSED'] ";
}
var campaignReport = AdWordsApp.report(
"SELECT CampaignName, CampaignId " +
"FROM CAMPAIGN_PERFORMANCE_REPORT " +
"WHERE CampaignName CONTAINS_IGNORE_CASE '" + campaignNameContains + "' " +
"AND Impressions > 0 " + whereStatements +
"DURING " + dateRange
);
var campaignRows = campaignReport.rows();
while (campaignRows.hasNext()) {
var campaignRow = campaignRows.next();
activeCampaignIds.push(campaignRow["CampaignId"]);
}
if (activeCampaignIds.length == 0) {
Logger.log("Could not find any campaigns with impressions and the specified options.");
return;
}
var whereAdGroupStatus = "AND AdGroupStatus IN ['ENABLED','PAUSED'] ";
if (ignorePausedAdGroups) {
whereAdGroupStatus = "AND AdGroupStatus = ENABLED ";
}
//////////////////////////////////////////////////////////////////////////////
// Find the negative keywords
var negativesByGroup = {};
var negativesByCampaign = {};
var sharedSetNames = {};
var sharedSetCampaigns = {};
if (checkNegatives) {
// Gather ad group level negative keywords
var keywordReport = AdWordsApp.report(
"SELECT CampaignId, AdGroupId, Criteria, KeywordMatchType " +
"FROM KEYWORDS_PERFORMANCE_REPORT " +
"WHERE Status = ENABLED AND IsNegative = TRUE " + whereAdGroupStatus +
"AND CampaignId IN [" + activeCampaignIds.join(",") + "] " +
"DURING " + dateRange
);
var keywordRows = keywordReport.rows();
while (keywordRows.hasNext()) {
var keywordRow = keywordRows.next();
if (negativesByGroup[keywordRow["AdGroupId"]] == undefined) {
negativesByGroup[keywordRow["AdGroupId"]] = {};
}
var keywordAdGroup = keywordRow["Criteria"].toLowerCase();
var matchType = keywordRow["KeywordMatchType"].toLowerCase();
if (!(matchType in negativesByGroup[keywordRow["AdGroupId"]])) {
negativesByGroup[keywordRow["AdGroupId"]][matchType] = [];
}
negativesByGroup[keywordRow["AdGroupId"]][matchType].push(keywordAdGroup);
}
// Gather campaign level negative keywords
var campaignNegReport = AdWordsApp.report(
"SELECT CampaignId, Criteria, KeywordMatchType " +
"FROM CAMPAIGN_NEGATIVE_KEYWORDS_PERFORMANCE_REPORT " +
"WHERE IsNegative = TRUE " +
"AND CampaignId IN [" + activeCampaignIds.join(",") + "]"
);
var campaignNegativeRows = campaignNegReport.rows();
while (campaignNegativeRows.hasNext()) {
var campaignNegativeRow = campaignNegativeRows.next();
var campaignId = campaignNegativeRow["CampaignId"];
var keywordCampaign = campaignNegativeRow["Criteria"].toLowerCase();
var matchType = campaignNegativeRow["KeywordMatchType"].toLowerCase();
if (negativesByCampaign[campaignNegativeRow["CampaignId"]] == undefined) {
negativesByCampaign[campaignNegativeRow["CampaignId"]] = {};
}
if (!(matchType in negativesByCampaign[campaignId])) {
negativesByCampaign[campaignId][matchType] = [];
}
negativesByCampaign[campaignId][matchType].push(keywordCampaign);
}
// Find which campaigns use shared negative keyword sets
var campaignSharedReport = AdWordsApp.report(
"SELECT CampaignName, CampaignId, SharedSetName, SharedSetType, Status " +
"FROM CAMPAIGN_SHARED_SET_REPORT " +
"WHERE SharedSetType = NEGATIVE_KEYWORDS " +
"AND CampaignId IN [" + activeCampaignIds.join(",") + "]");
var campaignSharedRows = campaignSharedReport.rows();
while (campaignSharedRows.hasNext()) {
var campaignSharedRow = campaignSharedRows.next();
if (sharedSetCampaigns[campaignSharedRow["SharedSetName"]] == undefined) {
sharedSetCampaigns[campaignSharedRow["SharedSetName"]] = [campaignSharedRow["CampaignId"]];
} else {
sharedSetCampaigns[campaignSharedRow["SharedSetName"]].push(campaignSharedRow["CampaignId"]);
}
}
// Map the shared sets' IDs (used in the criteria report below)
// to their names (used in the campaign report above)
var sharedSetReport = AdWordsApp.report(
"SELECT Name, SharedSetId, MemberCount, ReferenceCount, Type " +
"FROM SHARED_SET_REPORT " +
"WHERE ReferenceCount > 0 AND Type = NEGATIVE_KEYWORDS ");
var sharedSetRows = sharedSetReport.rows();
while (sharedSetRows.hasNext()) {
var sharedSetRow = sharedSetRows.next();
sharedSetNames[sharedSetRow["SharedSetId"]] = sharedSetRow["Name"];
}
// Collect the negative keyword text from the sets,
// and record it as a campaign level negative in the campaigns that use the set
var sharedSetReport = AdWordsApp.report(
"SELECT SharedSetId, KeywordMatchType, Criteria " +
"FROM SHARED_SET_CRITERIA_REPORT ");
var sharedSetRows = sharedSetReport.rows();
while (sharedSetRows.hasNext()) {
var sharedSetRow = sharedSetRows.next();
var setName = sharedSetNames[sharedSetRow["SharedSetId"]];
if (sharedSetCampaigns[setName] !== undefined) {
for (var i = 0; i < sharedSetCampaigns[setName].length; i++) {
var campaignId = sharedSetCampaigns[setName][i];
var matchTypeSharedSet = sharedSetRow["KeywordMatchType"].toLowerCase();
if (!negativesByCampaign.hasOwnProperty(campaignId)) {
negativesByCampaign[campaignId] = {};
}
if (!negativesByCampaign[campaignId].hasOwnProperty(matchTypeSharedSet)) {
negativesByCampaign[campaignId][matchTypeSharedSet] = [];
}
negativesByCampaign[campaignId][matchTypeSharedSet].push(sharedSetRow["KeywordMatchType"].toLowerCase());
}
}
}
Logger.log("Finished finding negative keywords");
} // end if
//////////////////////////////////////////////////////////////////////////////
// Define the statistics to download or calculate, and their formatting
var statColumns = ["Clicks", "Impressions"];
calculatedStats = [{
"stat": "CTR",
"multiplier": "Clicks",
"divisor": "Impressions"
}];
var currencyFormat = currencySymbol + "#,##0.00";
var formatting = ["#,##0", "#,##0", "#,##0", "0.00%", "0.00"];
//////////////////////////////////////////////////////////////////////////////
// Go through the search query report, remove searches already excluded by negatives
// record the performance of each word in each remaining query
var queryReport = AdWordsApp.report(
"SELECT CampaignName, CampaignId, AdGroupId, AdGroupName, Query, KeywordId, " + statColumns.join(", ") + " " +
"FROM SEARCH_QUERY_PERFORMANCE_REPORT " +
"WHERE CampaignId IN [" + activeCampaignIds.join(",") + "] " + whereAdGroupStatus + " " +
"DURING " + dateRange + " "
);
var aggregateStatsByWordLength = {};
var campaignNGrams = {};
var adGroupNGrams = {};
var totalNGrams = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
totalNGrams[n] = {};
}
var queryRows = queryReport.rows();
while (queryRows.hasNext()) {
var queryRow = queryRows.next();
if (checkNegatives) {
// Checks if the query is excluded by an ad group level negative
var searchIsExcluded = false;
var adGroupId = queryRow["AdGroupId"];
var currentQuery = queryRow["Query"];
var campaignId = queryRow["CampaignId"];
if (adGroupId in negativesByGroup) {
searchIsExcluded = isSearchExcluded(adGroupId, currentQuery, negativesByGroup);
}
// Checks if the query is excluded by a campaign level negative
if (!searchIsExcluded && negativesByCampaign.hasOwnProperty(campaignId)) {
searchIsExcluded = isSearchExcluded(campaignId, currentQuery, negativesByCampaign);
}
if (searchIsExcluded) {
continue;
}
}
var currentWords = queryRow["Query"].split(" ");
if (campaignNGrams[queryRow["CampaignName"]] == undefined) {
campaignNGrams[queryRow["CampaignName"]] = {};
adGroupNGrams[queryRow["CampaignName"]] = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
campaignNGrams[queryRow["CampaignName"]][n] = {};
}
}
if (adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]] == undefined) {
adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]] = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n] = {};
}
}
var stats = [];
for (var i = 0; i < statColumns.length; i++) {
stats[i] = parseFloat(queryRow[statColumns[i]].replace(/,/g, ""));
}
var wordLength = currentWords.length;
if (wordLength > 6) {
wordLength = "7+";
}
if (aggregateStatsByWordLength[wordLength] == undefined) {
aggregateStatsByWordLength[wordLength] = {};
}
for (var i = 0; i < statColumns.length; i++) {
if (aggregateStatsByWordLength[wordLength].hasOwnProperty(statColumns[i])) {
aggregateStatsByWordLength[wordLength][statColumns[i]] += stats[i];
} else {
aggregateStatsByWordLength[wordLength][statColumns[i]] = stats[i];
}
}
// Splits the query into n-grams and records the stats for each
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
if (n > currentWords.length) {
break;
}
var doneNGrams = [];
for (var w = 0; w < currentWords.length - n + 1; w++) {
var currentNGram = '="' + currentWords.slice(w, w + n).join(" ") + '"';
if (doneNGrams.indexOf(currentNGram) < 0) {
if (!campaignNGrams[queryRow["CampaignName"]][n].hasOwnProperty(currentNGram)) {
campaignNGrams[queryRow["CampaignName"]][n][currentNGram] = {};
campaignNGrams[queryRow["CampaignName"]][n][currentNGram]["Query Count"] = 0;
}
if (!adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n].hasOwnProperty(currentNGram)) {
adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n][currentNGram] = {};
adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n][currentNGram]["Query Count"] = 0;
}
if (!totalNGrams[n].hasOwnProperty(currentNGram)) {
totalNGrams[n][currentNGram] = {};
totalNGrams[n][currentNGram]["Query Count"] = 0;
}
campaignNGrams[queryRow["CampaignName"]][n][currentNGram]["Query Count"]++;
adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n][currentNGram]["Query Count"]++;
totalNGrams[n][currentNGram]["Query Count"]++;
for (var i = 0; i < statColumns.length; i++) {
accumulateStats(campaignNGrams[queryRow["CampaignName"]][n][currentNGram], statColumns[i], stats[i]);
accumulateStats(adGroupNGrams[queryRow["CampaignName"]][queryRow["AdGroupName"]][n][currentNGram], statColumns[i], stats[i]);
accumulateStats(totalNGrams[n][currentNGram], statColumns[i], stats[i]);
}
doneNGrams.push(currentNGram);
}
}
}
}
Logger.log("Finished analysing queries.");
var qualityScores = generateAverageQualityScore(minNGramLength, maxNGramLength, dateRange);
Logger.log("Done generating Quality score");
var qualityScoresCampaignLevel = qualityScores["campaignNGrams"];
var qualityScoresAdGroupLevel = qualityScores["adGroupNGrams"];
var qualityScoresTotal = qualityScores["totalNGrams"];
var qualityScoresWordCount = qualityScores["wordCountNGrams"];
var qualityScoresAdGroupLevelBroad = qualityScores["adGroupNGramsBroad"];
var qualityScoresCampaignLevelBroad = qualityScores["campaignNGramsBroad"];
var qualityScoresTotalBroad = qualityScores["totalNGramsBroad"];
//////////////////////////////////////////////////////////////////////////////
// Output the data into the spreadsheet
var wordLengthOutput = [];
var wordLengthFormat = [];
var outputs = [];
var formats = [];
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
outputs[n] = {
'campaign': [],
'adgroup': [],
"total": []
};
formats[n] = {
'campaign': [],
'adgroup': [],
"total": []
};
}
// Create headers
var calcStatNames = [];
for (var s = 0; s < calculatedStats.length; s++) {
calcStatNames.push(calculatedStats[s]["stat"]);
}
var statNames = statColumns.concat(calcStatNames);
statNames.push("Average Quality Score")
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
// headers
outputs[n]['campaign'].push(["Campaign", "Phrase", "Query Count"].concat(statNames));
outputs[n]['adgroup'].push(["Campaign", "Ad Group", "Phrase", "Query Count"].concat(statNames));
outputs[n]['total'].push(["Phrase", "Query Count"].concat(statNames));
}
wordLengthOutput.push(["Word count"].concat(statNames));
var logCounter = 0;
// Organise the ad group level stats into an array for output
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
for (var campaign in adGroupNGrams) {
for (var adGroup in adGroupNGrams[campaign]) {
for (var nGram in adGroupNGrams[campaign][adGroup][n]) {
// skips nGrams under the thresholds
if (adGroupNGrams[campaign][adGroup][n][nGram]["Query Count"] < queryCountThreshold) {
continue;
}
if (adGroupNGrams[campaign][adGroup][n][nGram]["Impressions"] < impressionThreshold) {
continue;
}
if (adGroupNGrams[campaign][adGroup][n][nGram]["Clicks"] < clickThreshold) {
continue;
}
var printline = [campaign, adGroup, nGram, adGroupNGrams[campaign][adGroup][n][nGram]["Query Count"]];
for (var s = 0; s < statColumns.length; s++) {
printline.push(adGroupNGrams[campaign][adGroup][n][nGram][statColumns[s]]);
}
for (var s = 0; s < calculatedStats.length; s++) {
var multiplier = calculatedStats[s]["multiplier"];
var divisor = calculatedStats[s]["divisor"];
if (adGroupNGrams[campaign][adGroup][n][nGram][divisor] > 0) {
printline.push(adGroupNGrams[campaign][adGroup][n][nGram][multiplier] / adGroupNGrams[campaign][adGroup][n][nGram][divisor]);
} else {
printline.push("-");
}
}
// Add Quality Score
var qualityScoreResult = DEFAULT_QUALITY_SCORE;
try {
qualityScoreResult = qualityScoresAdGroupLevel[campaign][adGroup][n][nGram]["QualityScore"];
if (qualityScoreResult === undefined) {
throw new Error("undefined");
}
} catch (error) {
qualityScoreResult = DEFAULT_QUALITY_SCORE;
}
var broadCounter = 0;
try {
var allBroadKeywords = qualityScoresAdGroupLevelBroad[campaign][adGroup][n];
if (allBroadKeywords === undefined) {
throw new Error("undefined");
}
for (var k = 0; k < allBroadKeywords.length; ++k) {
var broadKeywords = allBroadKeywords[k][0];
var nGramSplit = nGram.replace(/"/g, "").replace("=", "").split(" ");
var nGramContainsAllOfBroadKW = true;
for (var word in nGramSplit) {
if (!broadKeywords.hasOwnProperty(nGramSplit[word])) {
nGramContainsAllOfBroadKW = false;
}
}
if (nGramContainsAllOfBroadKW) {
broadCounter += 1;
if (qualityScoreResult == DEFAULT_QUALITY_SCORE) {
qualityScoreResult = allBroadKeywords[k][1];
continue;
}
qualityScoreResult += allBroadKeywords[k][1];
}
}
} catch (error) {
}
if (qualityScoreResult !== DEFAULT_QUALITY_SCORE) {
if (broadCounter === 1) {
broadCounter = 2;
}
if (broadCounter === 0) {
broadCounter = 1;
}
qualityScoreResult /= broadCounter;
}
printline.push(qualityScoreResult);
outputs[n]['adgroup'].push(printline);
formats[n]['adgroup'].push(["0", "0", "0"].concat(formatting));
}
}
}
}
// Organise the campaign level stats into an array for output
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
for (var campaign in campaignNGrams) {
for (var nGram in campaignNGrams[campaign][n]) {
// skips nGrams under the thresholds
if (campaignNGrams[campaign][n][nGram]["Query Count"] < queryCountThreshold) {
continue;
}
if (campaignNGrams[campaign][n][nGram]["Impressions"] < impressionThreshold) {
continue;
}
if (campaignNGrams[campaign][n][nGram]["Clicks"] < clickThreshold) {
continue;
}
var printline = [campaign, nGram, campaignNGrams[campaign][n][nGram]["Query Count"]];
for (var s = 0; s < statColumns.length; s++) {
printline.push(campaignNGrams[campaign][n][nGram][statColumns[s]]);
}
for (var s = 0; s < calculatedStats.length; s++) {
var multiplier = calculatedStats[s]["multiplier"];
var divisor = calculatedStats[s]["divisor"];
if (campaignNGrams[campaign][n][nGram][divisor] > 0) {
printline.push(campaignNGrams[campaign][n][nGram][multiplier] / campaignNGrams[campaign][n][nGram][divisor]);
} else {
printline.push("-");
}
}
// Add the quality score
var qualityScoreResult = DEFAULT_QUALITY_SCORE;
try {
qualityScoreResult = qualityScoresCampaignLevel[campaign][n][nGram]["QualityScore"];
if (qualityScoreResult === undefined) {
throw new Error("undefined");
}
} catch (e) {
qualityScoreResult = DEFAULT_QUALITY_SCORE;
}
var broadCounter = 0;
try {
var allBroadKeywords = qualityScoresCampaignLevelBroad[campaign][n];
if (allBroadKeywords === undefined) {
throw new Error("undefined");
}
for (var k = 0; k < allBroadKeywords.length; ++k) {
var broadKeywords = allBroadKeywords[k][0];
var nGramSplit = nGram.replace(/"/g, "").replace("=", "").split(" ");
var nGramContainsAllOfBroadKW = true;
for (var word in nGramSplit) {
if (!broadKeywords.hasOwnProperty(nGramSplit[word])) {
nGramContainsAllOfBroadKW = false;
}
}
if (nGramContainsAllOfBroadKW) {
broadCounter += 1;
if (qualityScoreResult == DEFAULT_QUALITY_SCORE) {
qualityScoreResult = allBroadKeywords[k][1];
continue;
}
qualityScoreResult += allBroadKeywords[k][1];
}
}
} catch (error) { }
if (qualityScoreResult !== DEFAULT_QUALITY_SCORE) {
if (broadCounter === 1) {
broadCounter = 2;
}
if (broadCounter === 0) {
broadCounter = 1;
}
qualityScoreResult /= broadCounter;
}
printline.push(qualityScoreResult);
outputs[n]['campaign'].push(printline);
formats[n]['campaign'].push(["0", "0"].concat(formatting));
}
}
}
// Organise the account level stats into an array for output
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
for (var nGram in totalNGrams[n]) {
// skips n-grams under the thresholds
if (totalNGrams[n][nGram]["Query Count"] < queryCountThreshold) {
continue;
}
if (totalNGrams[n][nGram]["Clicks"] < clickThreshold) {
continue;
}
if (totalNGrams[n][nGram]["Impressions"] < impressionThreshold) {
continue;
}
var printline = [nGram, totalNGrams[n][nGram]["Query Count"]];
for (var s = 0; s < statColumns.length; s++) {
printline.push(totalNGrams[n][nGram][statColumns[s]]);
}
for (var s = 0; s < calculatedStats.length; s++) {
var multiplier = calculatedStats[s]["multiplier"];
var divisor = calculatedStats[s]["divisor"];
if (totalNGrams[n][nGram][divisor] > 0) {
printline.push(totalNGrams[n][nGram][multiplier] / totalNGrams[n][nGram][divisor]);
} else {
printline.push("-");
}
}
// Add the quality score
var qualityScoreResult = DEFAULT_QUALITY_SCORE;
if (qualityScoresTotal[n] != undefined &&
qualityScoresTotal[n][nGram] != undefined
) {
qualityScoreResult = qualityScoresTotal[n][nGram]["QualityScore"];
}
var broadCounter = 0;
if (qualityScoresTotalBroad.hasOwnProperty(n)) {
var allBroadKeywords = qualityScoresTotalBroad[n];
for (var k = 0; k < allBroadKeywords.length; ++k) {
var broadKeywords = allBroadKeywords[k][0];
var nGramSplit = nGram.replace(/"/g, "").replace("=", "").split(" ");
var nGramContainsAllOfBroadKW = true;
for (var word in nGramSplit) {
if (!broadKeywords.hasOwnProperty(nGramSplit[word])) {
nGramContainsAllOfBroadKW = false;
}
}
if (nGramContainsAllOfBroadKW) {
broadCounter += 1;
if (qualityScoreResult == DEFAULT_QUALITY_SCORE) {
qualityScoreResult = allBroadKeywords[k][1];
continue;
}
qualityScoreResult += allBroadKeywords[k][1];
}
}
}
if (qualityScoreResult !== DEFAULT_QUALITY_SCORE) {
if (broadCounter === 1) {
broadCounter = 2;
}
if (broadCounter === 0) {
broadCounter = 1;
}
qualityScoreResult /= broadCounter;
}
printline.push(qualityScoreResult);
outputs[n]['total'].push(printline);
formats[n]['total'].push(["0"].concat(formatting));
}
}
// Organise the word count analysis into an array for output
for (var i = 1; i < 8; i++) {
if (i < 7) {
var wordLength = i;
} else {
var wordLength = "7+";
}
var printline = [wordLength];
if (aggregateStatsByWordLength[wordLength] == undefined) {
for (var s = 0; s < statColumns.length + 1; s++) {
printline.push(0);
}
} else {
for (var s = 0; s < statColumns.length; s++) {
printline.push(aggregateStatsByWordLength[wordLength][statColumns[s]]);
}
for (var s = 0; s < calculatedStats.length; s++) {
var multiplier = calculatedStats[s]["multiplier"];
var divisor = calculatedStats[s]["divisor"];
if (aggregateStatsByWordLength[wordLength][divisor] > 0) {
printline.push(aggregateStatsByWordLength[wordLength][multiplier] / aggregateStatsByWordLength[wordLength][divisor]);
} else {
printline.push("-");
}
}
}
// Loop through all total n grams
var qualityScoreResult = DEFAULT_QUALITY_SCORE;
if (qualityScoresWordCount.hasOwnProperty(wordLength)) {
var totalQualityScore = qualityScoresWordCount[wordLength]["totalQualityScore"];
var totalOccurences = qualityScoresWordCount[wordLength]["occurence"];
qualityScoreResult = totalQualityScore / totalOccurences;
}
printline.push(qualityScoreResult);
wordLengthOutput.push(printline);
wordLengthFormat.push(formatting);
}
var filterText = "";
if (ignorePausedAdGroups) {
filterText = "Active ad groups";
} else {
filterText = "All ad groups";
}
if (ignorePausedCampaigns) {
filterText += " in active campaigns";
} else {
filterText += " in all campaigns";
}
if (campaignNameContains != "") {
filterText += " containing '" + campaignNameContains + "'";
if (campaignNameDoesNotContain != "") {
filterText += " and not containing '" + campaignNameDoesNotContain + "'";
}
} else if (campaignNameDoesNotContain != "") {
filterText += " not containing '" + campaignNameDoesNotContain + "'";
}
// Find or create the required sheets
var spreadsheet = SpreadsheetApp.openByUrl(spreadsheetUrl);
var campaignNGramName = {};
var adGroupNGramName = {};
var totalNGramName = {};
var campaignNGramSheet = {};
var adGroupNGramSheet = {};
var totalNGramSheet = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
if (n == 1) {
campaignNGramName[n] = "Campaign Word Analysis";
adGroupNGramName[n] = "Ad Group Word Analysis";
totalNGramName[n] = "Account Word Analysis";
} else {
campaignNGramName[n] = "Campaign " + n + "-Gram Analysis";
adGroupNGramName[n] = "Ad Group " + n + "-Gram Analysis";
totalNGramName[n] = "Account " + n + "-Gram Analysis";
}
campaignNGramSheet[n] = getSheet(campaignNGramName[n], spreadsheet);
adGroupNGramSheet[n] = getSheet(adGroupNGramName[n], spreadsheet);
totalNGramSheet[n] = getSheet(totalNGramName[n], spreadsheet);
}
var wordCountSheet = getSheet("Word Count Analysis", spreadsheet);
// Write the output arrays to the spreadsheet
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
var nGramName = n + "-Grams";
if (n == 1) {
nGramName = "Words";
}
writeOutput(outputs[n]['campaign'], formats[n]['campaign'], campaignNGramSheet[n], nGramName, "Campaign", filterText, clearSpreadsheet);
writeOutput(outputs[n]['adgroup'], formats[n]['adgroup'], adGroupNGramSheet[n], nGramName, "Ad Group", filterText, clearSpreadsheet);
writeOutput(outputs[n]['total'], formats[n]['total'], totalNGramSheet[n], nGramName, "Account", filterText, clearSpreadsheet);
}
writeOutput(wordLengthOutput, wordLengthFormat, wordCountSheet, "Word Count", "Account", filterText, clearSpreadsheet);
Logger.log("Finished writing to spreadsheet.");
} // end main function
function writeOutput(outputArray, formatArray, sheet, nGramName, levelName, filterText, clearSpreadsheet) {
for (var i = 0; i < 5; i++) {
try {
if (clearSpreadsheet) {
sheet.clear();
}
if (nGramName == "Word Count") {
sheet.getRange("R1C1").setValue("Analysis of Search Query Performance by Word Count");
} else {
sheet.getRange("R1C1").setValue("Analysis of " + nGramName + " in Search Query Report, By " + levelName);
}
sheet.getRange("R" + (sheet.getLastRow() + 2) + "C1").setValue(filterText);
var lastRow = sheet.getLastRow();
if (formatArray.length == 0) {
sheet.getRange("R" + (lastRow + 1) + "C1").setValue("No " + nGramName.toLowerCase() + " found within the thresholds.");
} else {
sheet.getRange("R" + (lastRow + 1) + "C1:R" + (lastRow + outputArray.length) + "C" + outputArray[0].length).setValues(outputArray);
sheet.getRange("R" + (lastRow + 2) + "C1:R" + (lastRow + outputArray.length) + "C" + formatArray[0].length).setNumberFormats(formatArray);
var sortByColumns = [];
if (outputArray[0][0] == "Campaign" || outputArray[0][0] == "Word count") {
sortByColumns.push({
column: 1,
ascending: true
});
}
if (outputArray[0][1] == "Ad Group") {
sortByColumns.push({
column: 2,
ascending: true
});
}
if (sortByColumns.length !== 0) {
sheet.getRange("R" + (lastRow + 2) + "C1:R" + (lastRow + outputArray.length) + "C" + outputArray[0].length).sort(sortByColumns);
}
}
break;
} catch (e) {
if (e == "Exception: This action would increase the number of cells in the worksheet above the limit of 2000000 cells.") {
Logger.log("Could not output " + levelName + " level " + nGramName.toLowerCase() + ": '" + e + "'");
try {
sheet.getRange("R" + (sheet.getLastRow() + 2) + "C1").setValue("Not enough space to write the data - try again in an empty spreadsheet");
} catch (e2) {
Logger.log("Error writing 'not enough space' message: " + e2);
}
break;
}
if (i == 4) {
Logger.log("Could not output " + levelName + " level " + nGramName.toLowerCase() + ": '" + e + "'");
}
}
}
}
function generateAverageQualityScore(minNGramLength, maxNGramLength, dateRange) {
var campaignNGrams = {};
var campaignNGramsBroad = {};
var adGroupNGrams = {};
var adGroupNGramsBroad = {};
var totalNGrams = {};
var totalNGramsBroad = {};
var wordCountGrams = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
totalNGrams[n] = {};
}
var statColumns = ["QualityScore"];
var awql = AdWordsApp.report(
"SELECT CampaignName, QualityScore, AdGroupName, Criteria, Id, KeywordMatchType " +
"FROM KEYWORDS_PERFORMANCE_REPORT " +
"WHERE Status = ENABLED AND IsNegative = FALSE " +
"DURING " + dateRange + " "
);
// Iterate over exact/phrase/broad Keywords
var rows = awql.rows();
// Broad KWs.
while (rows.hasNext()) {
var row = rows.next();
var campaignName = row["CampaignName"];
var adGroupName = row["AdGroupName"];
var qualityScore = row["QualityScore"];
var keywordMatchType = row["KeywordMatchType"];
var criteria = row["Criteria"];
if (qualityScore === "--") {
continue;
}
if (keywordMatchType.toLowerCase() === "broad") {
qualityScore = parseFloat(qualityScore);
var words = criteria.replace(/\+/g, "").split(" ");
var wordObject = {};
if (wordCountGrams[words.length] == undefined) {
wordCountGrams[words.length] = {};
wordCountGrams[words.length]["totalQualityScore"] = 0;
wordCountGrams[words.length]["occurence"] = 0;
}
wordCountGrams[words.length]["totalQualityScore"] += qualityScore;
wordCountGrams[words.length]["occurence"] += 1;
for (var i = 0; i < words.length; i++) {
var currentWord = words[i];
wordObject[currentWord] = true;
}
// Ag Group N Gram Broad
initialiseIfNotExists(adGroupNGramsBroad, campaignName, {});
initialiseIfNotExists(adGroupNGramsBroad[campaignName], adGroupName, {});
initialiseIfNotExists(adGroupNGramsBroad[campaignName][adGroupName], words.length, []);
// Campaign N Gram Broad
initialiseIfNotExists(campaignNGramsBroad, campaignName, {});
initialiseIfNotExists(campaignNGramsBroad[campaignName], words.length, []);
// Total N Gram Broad
initialiseIfNotExists(totalNGramsBroad, words.length, []);
adGroupNGramsBroad[campaignName][adGroupName][words.length].push([wordObject, qualityScore]);
campaignNGramsBroad[campaignName][words.length].push([wordObject, qualityScore]);
if (totalNGramsBroad[words.length].length === 0) {
totalNGramsBroad[words.length].push([wordObject, qualityScore, 1])
} else {
for (var c = 0; c < totalNGramsBroad[words.length].length; c++) {
var areBothObjectsEqual = areObjectsEqual(wordObject, totalNGramsBroad[words.length][c][0]);
if (areBothObjectsEqual) {
totalNGramsBroad[words.length][c][1] += qualityScore;
totalNGramsBroad[words.length][c][2] += 1;
continue;
}
totalNGramsBroad[words.length].push([wordObject, qualityScore, 1]);
break;
}
}
} else {
var currentWords = criteria.split(" ");
var stats = [];
qualityScore = parseFloat(qualityScore);
for (var i = 0; i < statColumns.length; i++) {
stats[i] = qualityScore;
}
var wordsLength = currentWords.length;
if (wordCountGrams[wordsLength] == undefined) {
wordCountGrams[wordsLength] = {};
wordCountGrams[wordsLength]["totalQualityScore"] = 0;
wordCountGrams[wordsLength]["occurence"] = 0;
}
wordCountGrams[wordsLength]["totalQualityScore"] += qualityScore;
wordCountGrams[wordsLength]["occurence"] += 1;
if (campaignNGrams[campaignName] == undefined) {
campaignNGrams[campaignName] = [];
adGroupNGrams[campaignName] = {};
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
campaignNGrams[campaignName][n] = {};
}
}
if (adGroupNGrams[campaignName][adGroupName] == undefined) {
adGroupNGrams[campaignName][adGroupName] = [];
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
adGroupNGrams[campaignName][adGroupName][n] = {};
}
}
for (var n = minNGramLength; n < maxNGramLength + 1; n++) {
if (n > currentWords.length) {
break;
}
var doneNGrams = {};
for (var w = 0; w < currentWords.length - n + 1; w++) {
var replaced = currentWords.slice(w, w + n).join(" ").replace(/\+/g, "");
var currentNGram = '="' + replaced + '"';
if (!doneNGrams.hasOwnProperty(currentNGram)) {
if (campaignNGrams[campaignName][n][currentNGram] == undefined) {
campaignNGrams[campaignName][n][currentNGram] = {};
campaignNGrams[campaignName][n][currentNGram]["Query Count"] = 0;
}
if (adGroupNGrams[campaignName][adGroupName][n][currentNGram] == undefined) {
adGroupNGrams[campaignName][adGroupName][n][currentNGram] = {};
adGroupNGrams[campaignName][adGroupName][n][currentNGram]["Query Count"] = 0;
}
if (totalNGrams[n][currentNGram] == undefined) {
totalNGrams[n][currentNGram] = {};
totalNGrams[n][currentNGram]["Query Count"] = 0;
}
campaignNGrams[campaignName][n][currentNGram]["Query Count"]++;
adGroupNGrams[campaignName][adGroupName][n][currentNGram]["Query Count"]++;
totalNGrams[n][currentNGram]["Query Count"]++;
for (var i = 0; i < statColumns.length; i++) {
accumulateStats(campaignNGrams[campaignName][n][currentNGram], statColumns[i], stats[i]);
accumulateStats(adGroupNGrams[campaignName][adGroupName][n][currentNGram], statColumns[i], stats[i]);
accumulateStats(totalNGrams[n][currentNGram], statColumns[i], stats[i]);