Visit Us, Create a Free Account and you are all set to go.
You can reach us at (212) 392 5409 or Email Us: [email protected]. We provide support round the clock.
Electrik.AI is a cloud-based marketing analytics platform built for marketers.
It consists of two products:
Electrik.AI Data Flow/Pipeline is an automated service for running batch and streaming data extraction from source (advertising, analytics, CRM, etc.) connector into a database/data warehouse/File Storage/Object Storage.
No, Unlimited users can be invited to log in to your organization and can share resources.
In Electrik.AI, you create connections to the different third-party platforms for exporting data to your database/data warehouse or any other enabled integrated tool.
Connections can be classified into two categories:
Currently, we provide
Currently, we provide
Yes, Electrik.AI currently provides Freshdesk and Freshworks CRM source connectors.
iO is a collection of prebuilt data pipelines to load marketing data into your data warehouse. Using iO you can load marketing data in three easy steps.
Not at all, in fact you will receive notifications in your configured mailbox with all the flow execution details.
The Data Flows runs daily at the configured (runtime) time zone, loading the data on daily basis into your selected destination.
When you create a Data Flow, it is scheduled to run at a random time slot in the configured time zone and daily it will continue to run at the same time.
You will receive notifications in your configured mailbox with all the flow execution details when the flow execution is completed.
Sure, you can pause and resume your data flow at any point in time.
No, you do not need to do any deduplication, Electrik.AI handles all that for you.
Pausing the data flow will temporarily disable the data extraction process as long as you do not enable it back whereas deleting the flow will permanently delete your data extraction flow.
CMi is a marketing data warehouse and customer data platform hosted on Electrik.AI’s cloud. It provides the ability to
The price of Electrik.AI Google Analytics Hit Data Extractor is based on data volume extracted from each Google Analytics View; it scales with the number of records extracted from Google Analytics. Every time we extract records from one of your data sources, this counts against your total records for the day of that flow.
The best way to predict your data volume across all data sources is to connect all your data sources during the free trial period, then you will be able to view the volume of data being pushed by each data source.
We never want you to lose access to fresh data. So instead of putting a limit on the number or records extracted each day. At the end of the month you will be billed based on the average number of records extracted by each Google Analytics Hit Data Extractor flow per day for that month.
For Example
Total Number of Records Extracted in the Month = 15 * 400 + 5 * 1200 + 10 * 500 = 17000
Average Number of Records per Day for the Month = 17000 / 30 = 566
Your Bill for the month of Google Analytics to Database Flow = $49.
We offer a 30-day free trial, no credit card required. During this time, you will have access to Google Analytics Hit Data Extractor and will be able to extract unlimited records from Google Analytics. At the end of 30 days, if you love it (we think you will), you can continue using Electrik.AI simply by providing us with your payment details.
You will be billed at the end of the month based on your usage. Payable by credit card.
If your average number of records extracted per day for the month is upto200 records, then you won’t be charged anything for that month.
Don’t worry we will not stop your Google Analytics Hit Data Extractor.However, we will limit the number of records extracted from your Google Analytics View to 200 records per day.
Yes, Get started free and make your marketing journey effortless and exciting.
Try Electrik.AI free for 30 days. Get started at zero dollars per month and pay as you grow. At the end of the month, you will be billed based on the average number of records populated in your destination. Charges are based on the source connection selection for data extraction. Know more about detailed pricing here.
You can view invoices for your billing in your Electrik.AI account. A monthly invoice is generated at the beginning of the calendar month and displays charges for the previous month.
Electrik.AI is committed to the security of the data you process with us. We have created our systems from the ground up based on security and data protection best practices:
Due to API limitations, it is not possible to connect Google Ads Manager Accounts to Electrik.AI. Google Ads Manager (or MCC) Accounts are built for Agencies to manage multiple Client Accounts through a single login.
It is recommended that Agencies connect their individual Client Google Ads Data Sources in their respective Client Accounts using unique logins. If your Agency only has access to a Manager Account, you can request credentials from your Clients so they can connect their own Google Ads Account in Databox. This would not give the Client direct access to the Electrik.AI Account.
If you try to connect your Google Ads Manager Account in Electrik.AI, you will receive the following error message: “You are trying to add a manager account. Reports can only be obtained for advertiser (non-manager) accounts. To get data, please reconnect Google Ads using advertiser (non-manager) account”.
Electrik.AI’s Google Analytics Hit Data Extractor enriches and extracts the un-sampled hit level data sent to Google Analytics from website or application and periodically ships it to your desired destination database/data warehouse or file/data lake.
Electrik.AI’s primary offering Google Analytics Hit data extractor is cloud-based solution. We assume that you have Google Analytics and Google Tag Manager account.
Electric.AI GA Hit Level Data Extractor creates 7 custom dimensions:
EAI_ClientId: Client ID assigned to a visitor by Google Analytics.
EAI_HitTime: Timestamp of Hit in visitor’s time zone.
EAI_SessionUserId (Session): Session is a group of user interactions with your website that take place within a given time frame. Google Analytics doesn’t generate public session ID’s that you can see within Google Analytics to use for analysis. Electrik.AI provides a unique identifier for each session so that you can easily identify if two distinct hits belong to the same session.
EAI_VisitorUID: Unique Id assigned to visitor by Electrik.AI
EAI_HitType: Type of Hit or interaction that results in data being sent to Analytics. Ex: pageview, event etc.
EAI_HitOrder: Sequence of hits occurred on the website per visitor per session.
EAI_PageViewOrder: Sequence of pages viewed on the website per visitor per session.
No, you cannot delete custom dimensions. Once created they can only be edited to change name. By renaming them they can be repurposed for other processes.
If you create multiple EAI’s Google Hit Level Data Extractor processes running again the same GA property, then it will try to find if the seven (EAI_ClientId, EAI_HitTime, EAI_SessionUserId (Session), EAI_VisitorUID, EAI_HitType, EAI_HitOrder, EAI_PageViewOrder) custom dimensions are already present. If yes, then it will reuse it.
The Google Analytics free edition only supports 20 custom dimensions. If you are running short, login into Google Analytics (GA) dashboard and edit their names and scope to the desired one.
a. Tracking Code or Analytics Tag
The Analytics tag is a snippet of JavaScript that collects and sends data to Analytics from a website.
b. Tracking ID
In order to send hits to the appropriate property inside Google Analytics, a tracking ID is included in the tracking code (or Google Tag Manager tag). The tracking ID starts with ‘UA’, followed by a series of numbers, for example, UA-123456-1. The number between the dashes is a unique identifier for the Google Analytics account and the number at the end identifies a property within the account.
c. Property ID
Properties are created within a Google Analytics account. Each property represents an instance of the tracking ID used to collect data from a website, group of websites, a mobile app or the Measurement Protocol. Each property will include data sent to the associated tracking ID. Once data has been collected it is processed in the reporting view (or views) created under the property.
d. View ID
Within each Google Analytics property, there are one or more reporting views which contain data from your website. Views can contain a complete set of data from the tracking code or a subset of data (using filters). Each reporting view has its own goals and other configurations. Filters can be applied to reporting views inside Google Analytics to include a subset of data (for example, only include data for particular parts of the website) or exclude a subset of data (for example, excluding your own sessions on the website) or to transform the data (for example, to modify the reported page path to include the hostname).
e. Session
A single visit to your website, consisting of one or more pageviews, along with events, ecommerce transactions and other interactions. The default session timeout is 30 minutes, which means that if someone is inactive on your website for over 30 minutes, then a new session will be reported if they perform another interaction, for example, viewing another page.
f. Session Timeout (Tracking Info -> Session Settings)
You can adjust the default session timeout and campaign timeout by navigating to ‘Admin’ and then selecting ‘Tracking Info’ and ‘Session Settings’. The default session timeout it 30 minutes. This is an industry-standard, so you should only change this if you have a specific reason.
g. Time zone (View Settings)
The country or territory and the time zone you want to use as the day boundary for your reports, regardless of where the data originates. For example, if you choose United States, Los Angeles Time, then the beginning and end of each day is calculated based on Los Angeles Time, even if the hit comes from New York, London, or Moscow.
If you choose a time zone that honors Daylight Savings Time, Analytics automatically adjusts for the changes. If you do not want Analytics to adjust for Daylight Savings time, then you can use Greenwich Mean Time instead of your local time zone.
Changing the time zone only affects data going forward and is not applied retroactively. If you change the time zone for an existing view, you may see a flat spot or a spike in your data. This may be caused by the time shift forwards or backwards, respectively. Report data may refer to the old time zone for a short period after you update your settings, until our servers have processed the change
h. Dimensions and Metrics
Dimension is an attribute or characteristic of your users and their interactions with your website. Dimensions are typically presented as a row of information within your reports. Examples of dimensions include page path, which provides information about the pages people have viewed and marketing channel which provide information about how people found your website.
Metric is typically a number, like a count or a percentage. Metrics are typically presented as columns of data within your reports. Examples of metrics include pageviews, which tells you the total number of pages that were viewed and users which tell you how many people viewed your website.
i. Custom Dimensions and Metrics
In addition to the default dimensions and metrics, Google Analytics can be configured to collect additional data and make it available in your reports. For example, you could configure a custom dimension to report the authors of each page on your website, to understand performance based on who is creating content.
No. We only support HTTPs for Google search console.
Visit Us, Create a Free Account and you are all set to go.
You can reach us at (212) 392 5409 or Email Us: [email protected]. We provide support round the clock.
Electrik.AI is a cloud-based marketing analytics platform built for marketers.
It consists of two products:
No, Unlimited users can be invited to log in to your organization and can share resources.
Electrik.AI Data Flow/Pipeline is an automated service for running batch and streaming data extraction from source (advertising, analytics, CRM, etc.) connector into a database/data warehouse/File Storage/Object Storage.
In Electrik.AI, you create connections to the different third-party platforms for exporting data to your database/data warehouse or any other enabled integrated tool.
Connections can be classified into two categories:
Currently, we provide
Currently, we provide
Yes, Electrik.AI currently provides Freshdesk and Freshworks CRM source connectors.
iO is a collection of prebuilt data pipelines to load marketing data into your data warehouse. Using iO you can load marketing data in three easy steps.
Not at all, in fact you will receive notifications in your configured mailbox with all the flow execution details.
The Data Flows runs daily at the configured (runtime) time zone, loading the data on daily basis into your selected destination.
When you create a Data Flow, it is scheduled to run at a random time slot in the configured time zone and daily it will continue to run at the same time.
You will receive notifications in your configured mailbox with all the flow execution details when the flow execution is completed.
Sure, you can pause and resume your data flow at any point in time.
No, you do not need to do any deduplication, Electrik.AI handles all that for you.
Pausing the data flow will temporarily disable the data extraction process as long as you do not enable it back whereas deleting the flow will permanently delete your data extraction flow.
CMi is a marketing data warehouse and customer data platform hosted on Electrik.AI’s cloud. It provides the ability to
The price of Electrik.AI Google Analytics Hit Data Extractor is based on data volume extracted from each Google Analytics View; it scales with the number of records extracted from Google Analytics. Every time we extract records from one of your data sources, this counts against your total records for the day of that flow.
The best way to predict your data volume across all data sources is to connect all your data sources during the free trial period, then you will be able to view the volume of data being pushed by each data source.
We never want you to lose access to fresh data. So instead of putting a limit on the number or records extracted each day. At the end of the month you will be billed based on the average number of records extracted by each Google Analytics Hit Data Extractor flow per day for that month.
For Example
Total Number of Records Extracted in the Month = 15 * 400 + 5 * 1200 + 10 * 500 = 17000
Average Number of Records per Day for the Month = 17000 / 30 = 566
Your Bill for the month of Google Analytics to Database Flow = $49.
We offer a 30-day free trial, no credit card required. During this time, you will have access to Google Analytics Hit Data Extractor and will be able to extract unlimited records from Google Analytics. At the end of 30 days, if you love it (we think you will), you can continue using Electrik.AI simply by providing us with your payment details.
You will be billed at the end of the month based on your usage. Payable by credit card.
If your average number of records extracted per day for the month is upto200 records, then you won’t be charged anything for that month.
Don’t worry we will not stop your Google Analytics Hit Data Extractor.However, we will limit the number of records extracted from your Google Analytics View to 200 records per day.
Yes, Get started free and make your marketing journey effortless and exciting.
Try Electrik.AI free for 30 days. Get started at zero dollars per month and pay as you grow. At the end of the month, you will be billed based on the average number of records populated in your destination. Charges are based on the source connection selection for data extraction. Know more about detailed pricing here.
You can view invoices for your billing in your Electrik.AI account. A monthly invoice is generated at the beginning of the calendar month and displays charges for the previous month.
Electrik.AI is committed to the security of the data you process with us. We have created our systems from the ground up based on security and data protection best practices:
Due to API limitations, it is not possible to connect Google Ads Manager Accounts to Electrik.AI. Google Ads Manager (or MCC) Accounts are built for Agencies to manage multiple Client Accounts through a single login.
It is recommended that Agencies connect their individual Client Google Ads Data Sources in their respective Client Accounts using unique logins. If your Agency only has access to a Manager Account, you can request credentials from your Clients so they can connect their own Google Ads Account in Databox. This would not give the Client direct access to the Electrik.AI Account.
If you try to connect your Google Ads Manager Account in Electrik.AI, you will receive the following error message: “You are trying to add a manager account. Reports can only be obtained for advertiser (non-manager) accounts. To get data, please reconnect Google Ads using advertiser (non-manager) account”.
Electrik.AI’s Google Analytics Hit Data Extractor enriches and extracts the un-sampled hit level data sent to Google Analytics from website or application and periodically ships it to your desired destination database/data warehouse or file/data lake.
Electrik.AI’s primary offering Google Analytics Hit data extractor is cloud-based solution. We assume that you have Google Analytics and Google Tag Manager account.
Electric.AI GA Hit Level Data Extractor creates 7 custom dimensions:
EAI_ClientId: Client ID assigned to a visitor by Google Analytics.
EAI_HitTime: Timestamp of Hit in visitor’s time zone.
EAI_SessionUserId (Session): Session is a group of user interactions with your website that take place within a given time frame. Google Analytics doesn’t generate public session ID’s that you can see within Google Analytics to use for analysis. Electrik.AI provides a unique identifier for each session so that you can easily identify if two distinct hits belong to the same session.
EAI_VisitorUID: Unique Id assigned to visitor by Electrik.AI
EAI_HitType: Type of Hit or interaction that results in data being sent to Analytics. Ex: pageview, event etc.
EAI_HitOrder: Sequence of hits occurred on the website per visitor per session.
EAI_PageViewOrder: Sequence of pages viewed on the website per visitor per session.
No, you cannot delete custom dimensions. Once created they can only be edited to change name. By renaming them they can be repurposed for other processes.
If you create multiple EAI’s Google Hit Level Data Extractor processes running again the same GA property, then it will try to find if the seven (EAI_ClientId, EAI_HitTime, EAI_SessionUserId (Session), EAI_VisitorUID, EAI_HitType, EAI_HitOrder, EAI_PageViewOrder) custom dimensions are already present. If yes, then it will reuse it.
The Google Analytics free edition only supports 20 custom dimensions. If you are running short, login into Google Analytics (GA) dashboard and edit their names and scope to the desired one.
a. Tracking Code or Analytics Tag
The Analytics tag is a snippet of JavaScript that collects and sends data to Analytics from a website.
b. Tracking ID
In order to send hits to the appropriate property inside Google Analytics, a tracking ID is included in the tracking code (or Google Tag Manager tag). The tracking ID starts with ‘UA’, followed by a series of numbers, for example, UA-123456-1. The number between the dashes is a unique identifier for the Google Analytics account and the number at the end identifies a property within the account.
c. Property ID
Properties are created within a Google Analytics account. Each property represents an instance of the tracking ID used to collect data from a website, group of websites, a mobile app or the Measurement Protocol. Each property will include data sent to the associated tracking ID. Once data has been collected it is processed in the reporting view (or views) created under the property.
d. View ID
Within each Google Analytics property, there are one or more reporting views which contain data from your website. Views can contain a complete set of data from the tracking code or a subset of data (using filters). Each reporting view has its own goals and other configurations. Filters can be applied to reporting views inside Google Analytics to include a subset of data (for example, only include data for particular parts of the website) or exclude a subset of data (for example, excluding your own sessions on the website) or to transform the data (for example, to modify the reported page path to include the hostname).
e. Session
A single visit to your website, consisting of one or more pageviews, along with events, ecommerce transactions and other interactions. The default session timeout is 30 minutes, which means that if someone is inactive on your website for over 30 minutes, then a new session will be reported if they perform another interaction, for example, viewing another page.
f. Session Timeout (Tracking Info -> Session Settings)
You can adjust the default session timeout and campaign timeout by navigating to ‘Admin’ and then selecting ‘Tracking Info’ and ‘Session Settings’. The default session timeout it 30 minutes. This is an industry-standard, so you should only change this if you have a specific reason.
g. Time zone (View Settings)
The country or territory and the time zone you want to use as the day boundary for your reports, regardless of where the data originates. For example, if you choose United States, Los Angeles Time, then the beginning and end of each day is calculated based on Los Angeles Time, even if the hit comes from New York, London, or Moscow.
If you choose a time zone that honors Daylight Savings Time, Analytics automatically adjusts for the changes. If you do not want Analytics to adjust for Daylight Savings time, then you can use Greenwich Mean Time instead of your local time zone.
Changing the time zone only affects data going forward and is not applied retroactively. If you change the time zone for an existing view, you may see a flat spot or a spike in your data. This may be caused by the time shift forwards or backwards, respectively. Report data may refer to the old time zone for a short period after you update your settings, until our servers have processed the change
h. Dimensions and Metrics
Dimension is an attribute or characteristic of your users and their interactions with your website. Dimensions are typically presented as a row of information within your reports. Examples of dimensions include page path, which provides information about the pages people have viewed and marketing channel which provide information about how people found your website.
Metric is typically a number, like a count or a percentage. Metrics are typically presented as columns of data within your reports. Examples of metrics include pageviews, which tells you the total number of pages that were viewed and users which tell you how many people viewed your website.
i. Custom Dimensions and Metrics
In addition to the default dimensions and metrics, Google Analytics can be configured to collect additional data and make it available in your reports. For example, you could configure a custom dimension to report the authors of each page on your website, to understand performance based on who is creating content.
No. We only support HTTPs for Google search console.
