How to Understand Analytics 360 Pricing?

15 minutes read

Understanding Analytics 360 pricing may seem complex at first, but it can be simplified by breaking down its key components.

  1. Platform Fee: Analytics 360 is a paid version of Google Analytics, and it includes a platform fee. This fee covers access to the advanced features and capabilities offered by Analytics 360.
  2. Data Collection: Analytics 360 allows you to collect and analyze large amounts of data from your website, app, or other digital properties. The pricing is based on the volume of data that you need to process and store in Analytics 360. The more data you collect, the higher the cost will be.
  3. Hits and Sessions: Hits and sessions refer to the interactions or activities of users on your website or app. Analytics 360 pricing may also take into account the number of hits or sessions generated by your digital properties. If you have high traffic and numerous interactions, it may impact the overall cost.
  4. Support and Service Level Agreements (SLAs): Analytics 360 provides enhanced support and service level agreements compared to the free version of Google Analytics. These additional services and support options may contribute to the overall pricing.
  5. Integration with other Google products: Analytics 360 seamlessly integrates with other Google Marketing Platform products, such as Display & Video 360 and Search Ads 360. Depending on your requirements, integrating these platforms may have additional costs associated with them.


It's essential to note that Analytics 360 pricing is not fixed and may vary based on your specific needs, such as data processing volume, website traffic, and integration requirements. Google's sales team can provide detailed information on the pricing structure and help create a customized plan that fits your business goals and budget.

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How to assess the impact of Analytics 360 pricing on your analytics capabilities?

To assess the impact of Analytics 360 pricing on your analytics capabilities, consider the following steps:

  1. Evaluate your current analytics needs: Review your existing analytics requirements and determine the key features and functionalities you require from a web analytics solution. This might include data segmentation, integration capabilities, advanced reporting, user behavior analysis, etc.
  2. Compare Analytics 360 pricing: Analyze the pricing structure and packages offered by Analytics 360, including their cost tier and the features available at each level. Compare these options against your requirements and budget to determine if they align with your needs.
  3. Assess the potential value: Consider the potential value that Analytics 360 can bring to your organization. Will the additional functionalities and insights justify the investment? Evaluate the potential impact on key business metrics, understanding how it can improve your decision-making and overall analytics capabilities.
  4. Calculate the return on investment (ROI): Determine how long it would take to recoup the investment made in Analytics 360. Calculate the ROI by estimating the potential benefits, such as improved conversion rates, reduced bounce rates, increased revenue, or time saved on manual reporting and analysis. Compare this ROI against the cost of implementing and maintaining Analytics 360.
  5. Consider alternatives: Explore alternative analytics solutions available in the market. Assess their features, pricing, and limitations in comparison to Analytics 360. This broader outlook will help you gauge if Analytics 360 provides unique value or if there are more cost-effective options that can fulfill your analytics needs.
  6. Seek expert advice: Engage with experts or consult industry professionals who have experience with Analytics 360 or similar analytics solutions. Their insights and knowledge can provide you with a more comprehensive understanding of the impact of Analytics 360 pricing on your analytics capabilities.


By following these steps, you can assess whether the pricing of Analytics 360 aligns with your requirements, budget, and expected value, enabling you to make an informed decision about its impact on your analytics capabilities.


How to understand Analytics 360 pricing?

Understanding Analytics 360 pricing can be a bit complex, but here are the key factors to consider:

  1. User Type: Analytics 360 offers different user types, including "Viewer," "Standard," and "Premium." Viewers can only access data and reports, while Standard and Premium users can create and manage properties.
  2. Monthly Hits/Traffic Volume: Hits refer to the interactions recorded by Analytics 360, such as pageviews, events, or e-commerce transactions. Pricing is based on the number of hits your website or app receives in a month.
  3. Data Sampling: As the number of hits increases, Analytics 360 may start sampling your data. Data sampling involves using a subset of data to estimate the complete dataset. If accurate data without sampling is crucial, you may need to consider higher pricing tiers.
  4. Integration and Extra Features: Analytics 360 provides additional features beyond basic analytics, including integration with DoubleClick and BigQuery, data-driven attribution, and remarketing. These features may affect pricing.


To get a detailed understanding of pricing for your specific requirements, it is best to contact the Google Analytics team or a Google Marketing Platform partner who can provide accurate pricing information and tailored advice based on your business needs.


What is the pricing model for Analytics 360 data processing and storage?

The pricing model for Google Analytics 360 (formerly known as Google Analytics Premium) data processing and storage is based on the amount of data processed and stored in the platform. The exact pricing structure may vary based on individual agreements, but the general pricing framework includes:

  1. Data Processing: The cost is based on the number of hits or interactions sent to Google Analytics 360. Hits can include pageviews, events, e-commerce transactions, etc. There is typically a tiered pricing structure based on the volume of hits. As the volume increases, the price per hit decreases.
  2. Data Storage: Google Analytics 360 offers increased data storage capacity compared to the free version. The cost is determined by the total amount of data stored, including raw data, aggregated data, and processed reports. The pricing is usually based on data tiers, with higher costs for larger storage volumes.
  3. SLA and Support: Analytics 360 usually includes additional service level agreements and support from Google compared to the free version. The pricing may also cover technical assistance, training, and dedicated account management.
  4. Additional Features: Google Analytics 360 may include additional features not available in the free version, such as advanced segmentation, unsampled reporting, data-driven attribution, and more. These features may be bundled into the pricing or offered separately.


It's important to note that the pricing for Analytics 360 is typically negotiated on an individual basis and may vary depending on the specific needs and requirements of the organization.


How to evaluate the long-term ROI of investing in Analytics 360?

To evaluate the long-term return on investment (ROI) of investing in Analytics 360, consider the following steps:

  1. Define your goals: Clearly outline the objectives and goals you aim to achieve by investing in Analytics 360. This could include improved decision-making, optimization of marketing campaigns, personalized customer experiences, or increased revenue.
  2. Identify key metrics: Determine the key performance indicators (KPIs) that align with your goals. For example, conversion rate, customer lifetime value (CLV), cost per acquisition (CPA), or customer satisfaction.
  3. Quantify current performance: Measure and record your existing performance metrics before implementing Analytics 360. This baseline will help you understand the starting point and allow for comparison in the future.
  4. Calculate costs: Determine the investments required for Analytics 360, such as licensing fees, implementation, customization, training, and ongoing support costs. Consider both upfront and recurring expenses.
  5. Estimate benefits: Assess potential benefits that Analytics 360 can bring to your organization. This includes direct benefits like increased revenue, reduced costs, or improved operational efficiency. Additionally, consider indirect benefits like enhanced customer insights, better targeting, or improved customer experience.
  6. Assign monetary value: Assign a monetary value to the benefits identified in the previous step. Use historical data, industry benchmarks, or expert opinions to estimate the impact of improved outcomes on your organization's financials.
  7. Calculate ROI: Calculate the ROI by comparing the net benefits (benefits minus costs) to the total investment. Use the formula [(Net Benefits / Investment) x 100] to get the ROI as a percentage.
  8. Assess time frame: Consider the timeframe for realizing returns. Analytics 360 may have both short-term and long-term impacts. Longer timeframes might be required for benefits such as optimizing marketing campaigns or improving customer retention.
  9. Consider intangible benefits: Analyze any intangible benefits that may not have direct monetary value but provide long-term strategic advantages, like competitive advantage, improved brand reputation, or better decision-making capabilities.
  10. Monitor and adjust: Continuously monitor the performance of Analytics 360 and track the progress towards your goals. Regularly review and adjust strategies, campaigns, and efforts based on the insights gained to maximize ROI.


By following these steps, you can evaluate the long-term ROI of investing in Analytics 360 and make informed decisions regarding your analytics investment.


How to determine if Analytics 360 is suitable for your organization's size?

Determining if Google Analytics 360 (formerly known as Google Analytics Premium) is suitable for your organization's size involves considering several factors:

  1. Website Traffic: Analytics 360 is designed for enterprise-level organizations with high website traffic. If your organization receives millions of monthly visits, the standard Google Analytics might not provide enough processing power to handle the data volume. Analytics 360 offers higher data collection and processing limits, making it suitable for larger websites.
  2. Customization and Advanced Features: Consider whether your organization requires advanced features and customization options for deeper insights into data. Analytics 360 offers additional features like data-driven attribution, unsampled reporting, and advanced segmentation. If your organization needs these functionalities, upgrading to Analytics 360 could be beneficial.
  3. Budget: The cost of Analytics 360 is significantly higher than the standard Google Analytics. Assess whether your organization has the financial resources to invest in an enterprise-level analytics solution. The pricing is based on the volume of hits processed, so it's important to evaluate the potential return on investment before making a decision.
  4. BigQuery Integration: If your organization relies heavily on data-driven decision making and requires extensive data analysis, Analytics 360's integration with BigQuery could be valuable. This integration allows you to export raw data to BigQuery for more comprehensive analysis capabilities.
  5. Internal Resources and Expertise: Consider whether your organization has the necessary internal resources, such as skilled analysts or a dedicated analytics team. Analytics 360 provides more granular and complex data, and having the expertise to leverage these insights is crucial for maximizing its potential.
  6. Future Growth Plans: Evaluate your organization's growth plans. If you anticipate significant growth in website traffic and data volume in the near future, upgrading to Analytics 360 can help ensure seamless scalability and avoid potential limitations of the standard version.


It is recommended to consult with Google Analytics representatives or experts to fully assess your organization's specific needs and determine if Analytics 360 is suitable for your size and goals.


What is the cost breakdown of Analytics 360?

The cost breakdown of Analytics 360 is as follows:

  1. Analytics 360 license: The base cost for Analytics 360 starts at $150,000 per year.
  2. Data collection: Analytics 360 provides enhanced data collection capabilities compared to the free version of Google Analytics. This includes data from mobile apps, remarketing, cross-device tracking, and more.
  3. Support: Analytics 360 offers dedicated support from Google, including phone and email support, as well as access to an account manager who can assist with implementation and ongoing support.
  4. Data limits: With Analytics 360, there are higher data limits compared to the free version of Google Analytics. This allows businesses to track and analyze more data without hitting any limitations.
  5. Integration with other Google products: Analytics 360 seamlessly integrates with other Google marketing products such as Google Ads, Google BigQuery, Google Display & Video 360, and Google Optimize.
  6. Advanced features: Analytics 360 provides access to advanced features, including unsampled reports, advanced segmentation, remarketing integrations, custom funnel creation, and more.


It's important to note that the cost of Analytics 360 may vary depending on the specific needs and requirements of a business. The base price mentioned above is a starting point, and additional fees may apply based on factors like data usage and support requirements.

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