Google analytics 谷歌按渠道列出谷歌分析数据
我有一个GoogleSheets文件，它调用GoogleAnalytics并提取度量。这很有效。我想做的是按渠道拉指标，这样最左边的一列就是渠道的集合（PPC、展示、有机、社交、电子邮件、推荐、附属、直接）。我需要使用多通道漏斗设置吗？还是有更好的方法Google analytics 谷歌按渠道列出谷歌分析数据,google-analytics,google-api,google-sheets,google-analytics-api,Google Analytics,Google Api,Google Sheets,Google Analytics Api,我有一个GoogleSheets文件，它调用GoogleAnalytics并提取度量。这很有效。我想做的是按渠道拉指标，这样最左边的一列就是渠道的集合（PPC、展示、有机、社交、电子邮件、推荐、附属、直接）。我需要使用多通道漏斗设置吗？还是有更好的方法 function getGAData() { var sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("test Data"); // var startDate
function getGAData() {
var sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName("test Data");
// var startDate = dateToYMD(sheet.getRange(3,3).getValue());
// var endDate = dateToYMD(sheet.getRange(3,4).getValue());
var dateRanges = readDateRanges(sheet);
var profileIds = readProfileIds(sheet);
var GAMetrics = readGAMetrics(sheet);
var results = [];
var metrics = [];
var optArgs = [];
var filterCount = 0;
var prevFilter = '**NONE**';
var i, j, k;
var profileResults;
var tempResults;
for (i = 0; i < GAMetrics[0].length; i++) {
// Utilities.sleep(100);
if (prevFilter != GAMetrics[1][i]) {
metrics[filterCount] = GAMetrics[0][i];
optArgs[filterCount] = {
'start-index': '1',
'max-results': '10' // Display the first 250 results.
};
if (GAMetrics[1][i] != '')
optArgs[filterCount].filters = GAMetrics[1][i];
if (GAMetrics[2][i] != '')
optArgs[filterCount].segment = GAMetrics[2][i];
filterCount++;
} else {
metrics[filterCount-1] = metrics[filterCount-1] + ',' + GAMetrics[0][i];
}
prevFilter = GAMetrics[1][i];
}
for (i = 0; i < profileIds.length; i++) { // get GA data for each of the rows of input
profileResults = [];
var tableId = 'ga:' + profileIds[i][0];
var startDate = dateToYMD(dateRanges[i][0]);
var endDate = dateToYMD(dateRanges[i][1]);
for (j = 0; j < metrics.length; j++) {
var metric = metrics[j];
var options = optArgs[j];
//var options = {
// 'dimensions': 'ga:source',
//};
try {
// Make a request to the API.
tempResults = Analytics.Data.Ga.get(
'ga:' + profileIds[i][0], // Table id (format ga:xxxxxx).
dateToYMD(dateRanges[i][0]), // Start-date (format yyyy-MM-dd).
dateToYMD(dateRanges[i][1]), // End-date (format yyyy-MM-dd).
metrics[j], // Comma seperated list of metrics.
optArgs[j]);
var report = Analytics.Data.Ga.get(tableId, startDate, endDate, metric,
options);
if (typeof tempResults.getRows() != 'undefined')
appendArray(profileResults, tempResults.getRows()[0]);
} catch (e) {
Logger.log(e + ' - Profile ID: ' + profileIds[i][0] + ' - Metrics: ' + metrics[j] );
}
}
//append Profile results to the set
for (k = profileResults.length; k < GAMetrics[0].length; k++)
profileResults[k] = '0';
results.push(profileResults);
// Utilities.sleep(200);
}
sheet.getRange(6, 13, results.length, GAMetrics[0].length).setValues(results); // populate results on spreadsheet
emailLog('don@test.com','startDate');
}
function readDateRanges(sheet){
var rowStart = 6;
var columnStart = 1;
var numRows = sheet.getLastRow() - rowStart + 1;
return sheet.getRange(rowStart, columnStart, numRows, 2).getValues();
}
function readProfileIds(sheet) {
var rowStart = 6;
var columnStart = 3;
var numRows = sheet.getLastRow() - rowStart + 1;
return sheet.getRange(rowStart, columnStart, numRows, 1).getValues();
}
function readGAMetrics(sheet) {
var rowStart = 2;
var columnStart = 13;
var numColumns = sheet.getLastColumn() - columnStart + 1;
return sheet.getRange(rowStart, columnStart, 3, numColumns).getValues();
}
function dateToYMD(date) {
var d = date.getDate();
var m = date.getMonth() + 1;
var y = date.getFullYear();
return '' + y + '-' + (m<=9 ? '0' + m : m) + '-' + (d <= 9 ? '0' + d : d);
}
function appendArray(a1,a2) {
var startSize = a1.length;
for (var i = 0; i < a2.length; i++)
a1[startSize + i] = a2[i];
}
function emailLog(emailAddress,reportDate) {
var recipient = emailAddress; // Session.getActiveUser().getEmail();
var subject = 'GA Data Pull - extract for ' + reportDate;
var body = Logger.getLog();
MailApp.sendEmail(recipient, subject, body);
}