Standard Deviation Anomaly Detector

Receive email notification when your account performs one or two standard deviations from the mean.

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Google's own Anomaly Detector script can be very useful for receiving alerts whenever account performance is unusual. However, the parameters within this script do not take into account general account volatility. As a result, you will receive too many alerts for volatile accounts and too little for large and stable accounts.

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This script calculates the mean and the standard deviation for the same day of the week for the last 2 weeks. Whenever today's performance deviates one or two standard deviations from the mean you will receive an email notification.

 

 

The script
/**
 * @name Anomaly checker stdev
 *
 * @author Bas Baudoin
 *
 * @instructions
 * - add email addresses and accountlabels
 *
 * @todo
 * - Impressions?
 *
 * @version 0.92 (working)
 * - added two standard deviations
 * - added data delay config item
 *
 */

var config = {
  email: ['test@gmail.com'],
  accountLabel: 'Accountlabelname',
  daysFrom: 180,
  daysTo: 1,
  dataDelayHours: 2
}

function main() {
  var account = AdsManagerApp.accounts().withCondition('LabelNames CONTAINS "' + config.accountLabel + '"')
  account.executeInParallel('go')
}

function go() {
  var alertMsg = ''
  var log = '--- \n' + AdsApp.currentAccount().getName() + '\n'

  var timeZone = timeZone || AdsApp.currentAccount().getTimeZone()
  var weekDays = {
    '1': 'MONDAY',
    '2': 'TUESDAY',
    '3': 'WEDNESDAY',
    '4': 'THURSDAY',
    '5': 'FRIDAY',
    '6': 'SATURDAY',
    '7': 'SUNDAY'
  }
  var dayOfWeek = weekDays[Utilities.formatDate(new Date(), timeZone, 'u').toUpperCase()]
  var hourOfDay = Utilities.formatDate(new Date(), timeZone, 'H')
  var adjustedHourOfDay = hourOfDay - config.dataDelayHours
  
  var dataPast = AdsApp.report(
   "SELECT Date, DayOfWeek, HourOfDay, Clicks, Impressions, Conversions, ConversionValue, Cost " +
    "FROM ACCOUNT_PERFORMANCE_REPORT " +
    "WHERE DayOfWeek = " + dayOfWeek + " " +
    "AND HourOfDay < " + adjustedHourOfDay + " " +
    "DURING " + getDateByDaysAgo(config.daysFrom) + ',' + getDateByDaysAgo(config.daysTo)
  )
  
  var weekDayObj = {}
  
  var rows = dataPast.rows()
  while (rows.hasNext()) {
    var week = rows.next()
    var date = week["Date"]
    var clicks = parseFloat(week["Clicks"])
    var conversions = parseFloat(week["Conversions"])
    if (weekDayObj[date] === undefined) {
      weekDayObj[date] = []
      weekDayObj[date]['clicks'] = []
      weekDayObj[date]['conversions'] = []
      weekDayObj[date]['clicks'].push(clicks)
      weekDayObj[date]['conversions'].push(conversions)
    } else {
      weekDayObj[date]['clicks'].push(clicks)
      weekDayObj[date]['conversions'].push(conversions)
    }
  }
  
  var pastClicks = []
  var pastConversions = []
  for (var date in weekDayObj) {
    var dayClicks = weekDayObj[date]['clicks']
    var dayConversions = weekDayObj[date]['conversions']
    var sumClicks = dayClicks.reduce(function (a,b) {return a + b}, 0)
    var sumConversions = dayConversions.reduce(function (a,b) {return a + b}, 0)
    pastClicks.push(sumClicks)
    pastConversions.push(sumConversions)
  }
  Logger.log(pastClicks)
  Logger.log(pastConversions)
  
  var todayClicks = AdsApp.currentAccount().getStatsFor('TODAY').getClicks()
  var statisticsClicks = getStatistics(pastClicks)
  var minClicks = statisticsClicks.mean - statisticsClicks.stdDev
  var minTwoClicks = statisticsClicks.mean - statisticsClicks.stdDev
  if (minTwoClicks > todayClicks) {
    alertMsg += 'Clicks: 2+ std van gemiddelde (min: ' + minTwoClicks.toFixed(2) + '), vandaag: ' + todayClicks + ' clicks \n'
  } else if (minClicks > todayClicks) {
    alertMsg += 'Clicks: 1+ std van gemiddelde (min: ' + minClicks.toFixed(2) + '), vandaag: ' + todayClicks + ' clicks \n'
  } else {
    log += 'Clicks: business as usual, min: ' + parseInt(minClicks) + ' today: ' + todayClicks + ' clicks \n'
  }
  
  var todayConversions = AdsApp.currentAccount().getStatsFor('TODAY').getConversions()
  var statisticsConversions = getStatistics(pastConversions)
  var minConversions = statisticsConversions.mean - statisticsConversions.stdDev
  var minTwoConversions = statisticsConversions.mean - statisticsConversions.stdDev * 2
  if (minTwoConversions > todayConversions) {
    alertMsg += 'Conversions: 2+ std van gemiddelde (min: ' + minTwoConversions.toFixed(2) + '), vandaag: ' + todayConversions + ' conversions \n'
  } else if (minConversions > todayConversions) {
    alertMsg += 'Conversions: 1+ std van gemiddelde (min: ' + minConversions.toFixed(2) + '), vandaag: ' + todayConversions + ' conversions \n'
  } else {
    log += 'Conversions: business as usual, min: ' + parseInt(minConversions) + ' today: ' + todayConversions + ' conversions \n'
  }
  
  Logger.log(log)
  if (alertMsg !== '') {
    Logger.log(alertMsg)
    MailApp.sendEmail(config.email, AdsApp.currentAccount().getName() + ' anomaly', alertMsg)
  }
}

// mean, variance, stdev, coefficient of variation
function getStatistics(numbers) {
  var total = 0
  for (i=0; i<numbers.length; i++) {
    total += numbers[i]
  }
  var mean = total / numbers.length
  
  var varTotal = 0
  for (j=0; j<numbers.length; j++) {
    varTotal += (numbers[j] - mean) * (numbers[j] - mean)
  }
  var variance = varTotal / numbers.length
  var stdDev = Math.sqrt(variance)
  var coefficientOfVariation = stdDev/mean
  var statistics = {
    variance: variance,
    stdDev: stdDev,
    mean: mean,
    coefficientOfVariation: coefficientOfVariation
  }
  //Logger.log('mean     = ' + mean.toFixed(2))
  //Logger.log('variance = ' + variance.toFixed(2))
  //Logger.log('stdev    = ' + stdDev.toFixed(2))
  //Logger.log('coefficient of variation = ' + coefficientOfVariation.toFixed(2))
  return statistics
}

function getDateByDaysAgo(daysAgo) {
	var today = new Date()
	today.setDate(today.getDate() - daysAgo)
  var formattedDate = Utilities.formatDate(today, 'PST', 'yyyyMMdd')
  return formattedDate
}
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The Experts
Tibbe van Asten Head of PPC @ Increase
Nils Rooijmans Water Cooler Topics
Martijn Kraan Freelance PPC Specialist
Bas Baudoin Teamlead SEA @ Happy Leads
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