Plans and Pricing

Basic

Combine data in Google BigQuery
$ 115
/month
up to 100K users ? A unique user is a website visitor who’s associated with a unique identifier and whose BigQuery data has been processed in OWOX BI within one month.​
up to 3 pipelines
in Google Analytics ? Number of cost data import pipelines from advertising services to Google Analytics included in the tariff. You can expand their amount — $50 for each pipeline over the tariff.
+50$ for each extra pipeline
GET A 14 DAY TRIAL
Compare plans

Business

Find out the real value of advertising campaigns
$ 1,400
/month
up to 1M users ? A unique user is a website visitor who’s associated with a unique identifier and whose BigQuery data has been processed in OWOX BI within one month.​
GET A 14 DAY TRIAL
+ Required onboarding $3,000 ? Achieve better results with your individual implementation plan and advice from our experts
Compare plans

Enterprise

Get custom solutions for Big Data
from$ 10,000
/month
starting at 10M monthly
unique users ? A unique user is a website visitor who’s associated with a unique identifier and whose BigQuery data has been processed in OWOX BI within one month.​
CONTACT SALES
+ Required onboarding $7,500 ? Achieve better results with your individual implementation plan and advice from our experts
Compare plans

More plans

  • Start
  • Agency
  • Google Analytics 360
Free
Create data import 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)
 
 
Check
Check

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.
Check
Check
Check
Check
Google Sheets → Google BigQuery
Check
Check
Check
Check

Cost data import

Maximum number of pipelines
1 pipeline
Unlimited*
Unlimited
Unlimited
Facebook → Google Analytics ?
Importing data on costs, clicks and impressions from Facebook into Google Analytics
Check
Check
Check
Check
Twitter → Google Analytics ?
Importing data on costs, clicks and impressions from Twitter into Google Analytics
Check
Check
Check
Check
Bing → Google Analytics ?
Importing data on costs, clicks and impressions from Bing into Google Analytics
Check
Check
Check
Check
Sklik → Google Analytics ?
Importing data on costs, clicks and impressions from Sklik into Google Analytics
Check
Check
Check
Check
Criteo → Google Analytics ?
Importing data on costs, clicks and impressions from Sklik into Google Analytics
Check
Check
Check
Check
AdRoll → Google Analytics ?
Importing data about costs, clicks and impressions from AdRoll to Google Analytics
Check
Check
Check
Check
Yandex.Direct → Google Analytics ?
Importing data on costs, clicks and impressions from Yandex.Direct into Google Analytics
Check
Check
Check
Check
MyTarget → Google Analytics ?
Importing data on costs, clicks and impressions from MyTarget into Google Analytics
Check
Check
Check
Check
Hotline → Google Analytics ?
Importing data on costs and clicks from Hotline into Google Analytics
Check
Check
Check
Check
Other services → Google Analytics ?
Importing cost data into Google Analytics from sources that do not have an API
Check
Check
Check
Check
Facebook → Google BigQuery beta ?
Importing the full statistics for Facebook, Instagram, and Audience Network ad campaigns into Google BigQuery
 
Check
Check
Check
Yandex.Direct → Google BigQuery beta ?
Importing data on costs, clicks and impressions from Yandex.Direct into Google BigQuery
 
Check
Check
Check
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
 
Check
Check
Check
Google Analytics Cost Data → Google BigQuery ?
Automatic daily import of cost data on all your traffic sources from Google Analytics into Google BigQuery
 
Check
Check
Check
Google BigQuery → Google Analytics
beta
 
Check
Check
Check
Ringostat → Google BigQuery ?
Automatic import of data on advertising channels that generate phone calls, from Ringostat call tracking system into Google BigQuery
 
Check
Check
Check
CallTouch → Google BigQuery ?
Automatic import of data on advertising channels that generate phone calls, from Calltouch call tracking system into Google BigQuery
 
Check
Check
Check
SparkPost → Google BigQuery ?
Real-time import of data on emails sent with SparkPost into Google BigQuery
 
Check
Check
Check
Mandrill → Google BigQuery ?
Real-time import of data on emails sent with Mandrill into Google BigQuery
 
Check
Check
Check
UniOne → Google BigQuery ?
Real-time import of data on emails sent with UniOne into Google BigQuery
 
Check
Check
Check
AppsFlyer → Google BigQuery ?
Real-time import of data on user actions on iOS, Android and other mobile platforms from AppsFlyer into Google BigQuery
 
Check
Check
Check
SendGrid → Google BigQuery ?
Real-time import of data for emails sent with SendGrid, into Google BigQuery
 
Check
Check
Check
Calltracking → Google BigQuery
 
Check
Check
Check

Support

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

Training

Documentation
Check
Check
Check
Check
Webinars
Check
Check
Check
Check
Personal online training
 
 
starting at $3500
starting at $3500
Consulting on Google Analytics and Google BigQuery
 
 
 
starting at $10500
*might be a charge for extra pipelines

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

Expand all Close all

  • How do you count unique visitors for billing purposes?

    A unique user is a website visitor who’s associated with a unique identifier and whose BigQuery data has been processed in OWOX BI within one month.

    We check the number of unique visitors in BI Pipeline, considering the following pipelines:

    • Google Analytics → Google BigQuery
    • AppsFlyer → Google BigQuery
    • SendGrid → Google BigQuery
    • SparkPost → Google BigQuery
    • Mandrill → Google BigQuery
    • UniOne → Google BigQuery

    We also consider the number of unique users in Google BigQuery Export for Google Analytics 360, if the exported data is used in BI Attribution and BI Smart Data.

    For each reporting period, the number of unique visitors is counted in each of the abovementioned pipelines. The billing is based on the pipeline with the biggest number of unique users.

    We associate sessions with users in the following ways:

    • by having the unique identifier for the browser-device pair (Client ID), and the unique user identifier in ERP or CRM systems (User ID) combined in OWOX BI Pipeline: Google Analytics to Google BigQuery;
    • by the unique email address in pipelines from SendGrid, SparkPost, Mandrill and in UniOne to Google BigQuery;
    • by the unique Device ID in OWOX BI Pipeline: AppsFlyer to BigQuery;
    • by the unique User ID, Client ID and CD User ID, a unique user identifier in the Google BigQuery Export for Analytics 360.

    For example, if multiple users logged in under the same User ID within the same reporting period, this data will be processed as a single user. The exception is when more than 100 Client IDs are associated with a single User ID. In such cases, unique users are identified only by unique Client IDs.

  • 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 to this data, do I need to pay for this?

    No. You only need to pay for the number of unique users whose data was sent to Google BigQuery via OWOX BI Pipeline, or is used in OWOX BI Attribution and OWOX BI Smart Data.

  • 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 for the number of unique users in the chosen plan?

    Extra payment will be for the following:

    • $3 for each 1,000 users over the limit in the Basic plan;
    • $4 for each 1,000 users over the limit in the Business plan.

    For example, you had 1,002,000 unique users within the reporting month, and you used the Basic plan with a limit of 1,000,000 unique users. In this case you will have to pay the standard price of $950 and extra $6 for exceeding the limit at the end of the month.

    You can track the current number of unique users in the «Data used» section in your bi.owox.com account to track the current number of the unique users.