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/** | |
* Ad Copy Length Analysis | |
* | |
* Download an ad performance report for the account and break up the | |
* information and aggregate by component lengths. This will create a sheet for | |
* Headline1, Headline2, Headline3, Description1, Description2, Path1, Path2 | |
* and Headline/Description/Path, which concatenates the respective components. | |
* | |
* Google Ads Script | |
* @author Brainlabs | |
*/ | |
function main() { | |
const spreadsheetUrl = "YOUR_SPREADSHEET_URL_HERE"; | |
const dateRange = "LAST_30_DAYS"; | |
const attributes = [ | |
"AdType", | |
"Headline", | |
"Description1", | |
"Description2", | |
"HeadlinePart1", | |
"HeadlinePart2", | |
"ExpandedTextAdHeadlinePart3", | |
"Description", | |
"ExpandedTextAdDescription2", | |
"ExpandedDynamicSearchCreativeDescription2", | |
"Path1", | |
"Path2" | |
]; | |
const metrics = [ | |
"Clicks", | |
"Impressions", | |
"Cost", | |
"Conversions" | |
]; | |
const calculatedMetrics = { | |
CPC: function (d) { | |
return d.Cost / d.Clicks; | |
}, | |
CTR: function (d) { | |
return d.Clicks / d.Impressions; | |
}, | |
CPA: function (d) { | |
return d.Cost / d.Conversions; | |
} | |
}; | |
const validAdTypes = [ | |
"EXPANDED_TEXT_AD", | |
"TEXT_AD", | |
"EXPANDED_DYNAMIC_SEARCH_AD", | |
"DYNAMIC_SEARCH_AD", | |
]; | |
const query = _buildQuery(attributes.concat(metrics), validAdTypes, dateRange); | |
const report = AdsApp.report(query, { | |
includeZeroImpressions: false | |
}); | |
const ads = []; | |
const rows = report.rows(); | |
while (rows.hasNext()) { | |
var row = rows.next(); | |
ads.push(_normalised(row)); | |
} | |
/** | |
* The variables affecting performance: | |
*/ | |
const variables = [ | |
"Headline", | |
"Headline1", | |
"Headline2", | |
"Headline3", | |
"Description", | |
"Description1", | |
"Description2", | |
"Path", | |
"Path1", | |
"Path2" | |
]; | |
var spreadsheet = SpreadsheetApp.openByUrl(spreadsheetUrl); | |
const groupSummer = GroupSummer(ads, metrics); | |
const formatter = Formatter("# chars", ["# ads"].concat(metrics), calculatedMetrics); | |
const numColumns = 2 + metrics.length + Object.keys(calculatedMetrics).length; | |
variables.forEach(function (varname) { | |
const table = formatter(groupSummer(varname)); | |
const sheet = spreadsheet.getSheetByName(varname) || spreadsheet.insertSheet(varname); | |
const range = sheet.getRange(1, 1, table.length, numColumns); | |
range.setValues(table); | |
const maxRows = sheet.getMaxRows(); | |
const maxCols = sheet.getMaxColumns(); | |
// Prune the sheet. | |
if (maxRows > table.length) { | |
sheet.deleteRows(table.length + 1, maxRows - table.length); | |
} | |
if (maxCols > numColumns) { | |
sheet.deleteColumns(numColumns + 1, maxCols - numColumns); | |
} | |
}); | |
} | |
/** | |
* @param {string[]} fields Fields to include in the report | |
* @param {string[]} validAdTypes Ad types to filter by | |
* @param {string} dateRange Date range for metrics | |
*/ | |
function _buildQuery(fields, validAdTypes, dateRange) { | |
return "SELECT " + fields.join(", ") | |
+ " FROM AD_PERFORMANCE_REPORT" | |
+ " WHERE AdType IN [" + validAdTypes.join(", ") + "]" | |
+ " AND Impressions > 0" | |
+ " DURING " + dateRange; | |
} | |
function Formatter(keyName, metrics, calculations) { | |
var calculatedMetrics = Object.keys(calculations); | |
var header = [keyName].concat(metrics, calculatedMetrics); | |
/** | |
* Format the aggregated data from GroupSummer into a table as a 2d array. | |
*/ | |
return function (aggregate) { | |
// Get the number of characters in increasing order. | |
var keys = Object.keys(aggregate); | |
keys.sort(function (i, j) { | |
return i - j; | |
}); | |
var rows = keys.map(function (key) { | |
var data = aggregate[key]; | |
var performanceData = metrics.map(function (m) { | |
return data[m]; | |
}); | |
var calculatedData = calculatedMetrics.map(function (c) { | |
return calculations[c](data); | |
}); | |
return [key].concat(performanceData, calculatedData); | |
}); | |
return [header].concat(rows); | |
}; | |
} | |
function GroupSummer(ads, metrics) { | |
/** | |
* Get the sum of all the metrics, grouped by the length of the number | |
* of characters in `field`. | |
*/ | |
return function (field) { | |
function reducer(result, ad) { | |
const numCharacters = ad[field].length; | |
const aggregate = result[numCharacters] || { | |
"# ads": 0 | |
}; | |
aggregate["# ads"] += 1; | |
metrics.forEach(function (m) { | |
aggregate[m] = parseFloat(ad[m]) + (aggregate[m] || 0); | |
}); | |
result[numCharacters] = aggregate; | |
return result; | |
} | |
const result = ads.reduce(reducer, {}); | |
return result; | |
}; | |
} | |
/** | |
* Convert a row from an AD_PERFORMANCE_REPORT into a normalised structure | |
* for an ad. | |
*/ | |
function _normalised(row) { | |
const ad = Object.create(row); | |
ad.Headline1 = row.HeadlinePart1 || row.Headline; | |
ad.Headline2 = row.HeadlinePart2 || ""; | |
ad.Headline3 = row.ExpandedTextAdHeadlinePart3 || ""; | |
ad.Description1 = row.Description || row.Description1 || ""; | |
ad.Description2 = row.Description2 || row.ExpandedTextAdDescription2 || row.ExpandedDynamicSearchCreativeDescription2 || ""; | |
ad.Headline = ad.Headline1 + ad.Headline2 + ad.Headline3; | |
ad.Description = ad.Description1 + ad.Description2; | |
ad.Path = ad.Path1 + ad.Path2; | |
return ad; | |
} |
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