Plans and Pricing

Basic

Combine data in Google BigQuery
$ 115
/month
up to 100K monthly active users
GET A 14 DAY TRIAL
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Business

Find out the real value of advertising campaigns
$ 1,400
/month
up to 1M monthly active users
GET A 14 DAY TRIAL
+ Required onboarding $3,000
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Enterprise

Get custom solutions for Big Data
from$ 5,000
/month
starting at 10M monthly active users
CONTACT SALES
+ Required onboarding $7,500
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More plans

  • Start
  • Agency
  • Google Analytics 360
Free
Create up to two cost data imports from Facebook, Bing, Yahoo! and other services into Google Analytics.
Sign Up

Select a plan

 

Start

Basic

Business

Enterprise

BI Smart Data

Maximum number of questions per month
 
100
Unlimited
Unlimited

BI Attribution

Maximum number of models
 
1
Unlimited
Unlimited
Considering non-Google Analytics orders ?
Attribute value of orders placed not only from Google Analytics, but from other sources too (e.g. call centers and brick-and-mortar stores)
 
 
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BI Pipeline

Add-ons

Google Sheets → Google Analytics ?
Send data to Google Analytics Data Import directly from Google Sheets. You can import all the relevant types of data: cost, refund, user, campaign, geographical, content, product and custom.
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Google Sheets → Google BigQuery
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Cost data import

Maximum number of pipelines
Up to 2 pipelines
Unlimited
Unlimited
Unlimited
Yandex.Direct → Google Analytics ?
Importing data on costs, clicks and impressions from Yandex.Direct into Google Analytics
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Yandex.Market → Google Analytics ?
Importing data on costs and clicks from Yandex.Market into Google Analytics
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Facebook → Google Analytics ?
Importing data on costs, clicks and impressions from Facebook into Google Analytics
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Vkontakte → Google Analytics ?
Importing data on costs, clicks and impressions from Vkontakte into Google Analytics
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MyTarget → Google Analytics ?
Importing data on costs, clicks and impressions from MyTarget into Google Analytics
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Hotline → Google Analytics ?
Importing data on costs and clicks from Hotline into Google Analytics
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Bing → Google Analytics ?
Importing data on costs, clicks and impressions from Bing into Google Analytics
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Trafmag → Google Analytics ?
Importing data on costs, clicks and impressions from Trafmag into Google Analytics
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Other services → Google Analytics ?
Importing cost data into Google Analytics from sources that do not have an API
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Historical data import, months ?
The number of previous months for which you can import historical cost data
2
6
6
6
Historical data updates, days ?
We automatically update the data in Google Analytics if the statistics of an advertising service is updated within the indicated time.
7
21
21
21
Cost data import time, hours ?
The maximum time period within which data is sent to Google Analytics after they become available in the advertising service.
36
12
12
12
Pipelines priority
Low
Average
High
High

Other pipelines

Google Analytics Real-Time Data → Google BigQuery ?
Automatic import of unsampled data from Google Analytics into Google Big Query in real time
 
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Google Analytics Cost Data → Google BigQuery ?
Automatic daily import of cost data on all your traffic sources from Google Analytics into Google BigQuery
 
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Google Analytics Related Products → Google BigQuery
 
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Google BigQuery → Google Analytics
 
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Competera → Google BigQuery ?
Automatic daily import of data about competitor prices from Competera into Google BigQuery
 
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Ringostat → Google BigQuery ?
Automatic import of data on advertising channels that generate phone calls, from Ringostat call tracking system into Google BigQuery
 
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CallTouch → Google BigQuery ?
Automatic import of data on advertising channels that generate phone calls, from Calltouch call tracking system into Google BigQuery
 
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SparkPost → Google BigQuery ?
Real-time import of data on emails sent with SparkPost into Google BigQuery
 
 
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Mandrill → Google BigQuery ?
Real-time import of data on emails sent with Mandrill into Google BigQuery
 
 
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UniOne → Google BigQuery ?
Real-time import of data on emails sent with UniOne into Google BigQuery
 
 
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AppsFlyer → Google BigQuery ?
Real-time import of data on user actions on iOS, Android and other mobile platforms from AppsFlyer into Google BigQuery
 
 
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Support

SLA
 
up to 8 hours
up to 4 hours
up to 2 hours
Community
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Email
 
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Priority
Online chat
 
 
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Phone
 
 
 
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Training

Documentation
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Webinars
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Personal online training
 
 
starting at $3500
starting at $3500
Consulting on Google Analytics and Google BigQuery
 
 
 
starting at $10500

You’ve Got Questions? We’ve Got Answers!

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  • How do I pay for Google BigQuery?

    You pay for using Google BigQuery separately from OWOX BI. Payments are made directly to Google with no commission or restrictions.

  • If we store CRM data in Google BigQuery and use SQL-queries on this data, do I need to pay for it?

    No, you only pay for active users. This means that if the the users did not pass through OWOX BI Streaming or OWOX BI Email Marketing you do not need to pay for them.

  • What if I want to cancel my service?

    No problem, we can cancel it at any time.

    If you have a monthly subscription, payment for the next month will not be applied.

    If you have an annual subscription, you will be charged a penalty equal to the monthly fee tripled.

  • What is the difference in payment methods for the new plans?

    We charge for the new plans only on a monthly basis. Basic plans are only paid by card. Business plans are paid by invoice, with a contract for at least 1 year.

  • What happens if a project exceeds the limit of their chosen plan?

    The cost of processing user data in excess of the number included in the plan is $3 per 1K users in Basic, and $4 per 1K users in Business.
    For example, the price for processing 1,002,000 users in the Basic 1000 plan would be $950 + 2 * 3 $ = $956.

  • How unique users are accounted?

    Any site visitor that you collect data about and is processed in Google BigQuery during the reporting period is an active user. User data is processed in OWOX BI Pipeline (Google Analytics Real-Time Data → Google BigQuery).
    Active users are merged into unique users by user id. Only unique users are accounted for each reporting period. Timezone of reporting period is UTC, so day partitioning may be different from your data.
    E.g. if several users logged in with the same User ID within the reporting period and have been processed by OWOX BI services, they will be considered a single user.
    An exception is made for User IDs that are used to authorise more than 100 different Client IDs within reporting period. Such User IDs are ignored, and unique users are identified by unique Client IDs.