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Microsoft Ads destination URL checker

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Clients

Robots.txt change detection

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Rolling Average

KPI Management

Search Console Activity

Automation | Google Search Console

Add comment from Slack

Comments | Slack

Anomaly Algorithm

Anomaly Detection

Authentication

Integrations | Make

Budget Settings

Budget Tracking

Budget Status

Budget Tracking

Budget history

Budget Tracking

Connecting Zapier

Integrations | Zapier

Connecting to Slack

Integrations | Slack

Creating a Data Studio Report

Data Warehouse | Google Data Studio

Creating a Pipeline

Data Warehouse

Data Source Metrics

KPI Management | Google Ads

Data Source Metrics

KPI Management | Google Analytics

Data Source Metrics

KPI Management | Facebook Ads

Data Source Metrics

KPI Management | Microsoft Ads

Data Source Metrics

KPI Management | Google Business Profile

Data Studio Connector Fields

Integrations | Google Data Studio

Data Studio Parameters

Integrations | Google Data Studio

Editing a Pipeline

Data Warehouse

Facebook Ads Fields

Data Warehouse | Facebook Ads

Facebook Ads KPI

KPI Management | Facebook Ads

Facebook Ads destination URL checker

Automation | Facebook Ads

Free Connector to Data Warehouse field comparison

Data Warehouse | Google Business Profile

Getting Started

Frequently Asked Questions

Google Ads change history

Automation | Google Ads

Google Ads destination URL checker

Automation | Google Ads

Google Analytics change history

Automation | Google Analytics

Google BigQuery Permissions

Data Warehouse | BigQuery

Google Business Profile Fields

Data Warehouse | Google Business Profile

Google Business Profile Listing Answers

Automation | Google Business Profile

Google Business Profile Listing Questions

Automation | Google Business Profile

Google Business Profile Location Updates

Automation | Google Business Profile

Google Business Profile Reporting Timezone

Data Warehouse | Google Business Profile

Google Reviews

Automation | Google Business Profile

Google Search Console Fields

Data Warehouse | Google Search Console

Google Sheets for Budgets

Budget Tracking | Google Sheets

Google Sheets format

KPI Management | Google Sheets

Grant access to BigQuery data

Data Warehouse | Google Data Studio

How to create a Data Studio Report for Facebook

Data Warehouse | Google Data Studio

How to use Regex and Examples

Frequently Asked Questions

KPI Insight

Insights

KPI Seasonal Trends

KPI Management

KPI Status

KPI Management

KPI Target Settings

KPI Management

KPI history

KPI Management

Managed BigQuery

Data Warehouse | BigQuery

Microsoft Ads destination URL checker

Automation | Microsoft Ads

Page status checker

Automation | Website

Pipeline Extensions

Data Warehouse

Portfolio

Clients

Robots.txt change detection

Automation | Website

Rolling Average

KPI Management

Search Console Activity

Automation | Google Search Console

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Data Warehouse

Creating a Pipeline

  1. Navigate to the Data Warehouse page (https://app.jepto.com/pipelines)
  1. Select your data source.
  1. In the data source screen you will be asked to choose your account and any data source configuration options.

    During a trial you will have 10 credits which will allow you to select up to 10 Google Business Profile locations (Formerly GMB) or 1 Search Console property.

    For more information on the GBP Timezone please see this article.
  1. Select a destination to which the data is going to be transferred. If you have not used Google Big Query before, take a couple a minutes and set up a Google Cloud Platform project by following this article or utilize the Managed option, where we take care of everything for you.

    💡 Tip
    : If you would like to give view or edit access of a Data studio report and want to restrict what data is visible you should consider creating separate pipelines.
  1. Validation is applied on both the source and destination, which is represented by green ticks. Any errors will need to be resolved prior to proceeding to the next step. You can also adjust the time period of historical data.
  1. Notifications are optional and will be sent in accordance with your notification preferences.
  1. Once the pipeline is created you can monitor its status and any error logs directly within the Dashboard.
  2. Now your data is in Big Query you can start making a report. See here for more details

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