10 Criteria for an Enterprise Website Analytics Solution

Estimated Reading Time: 7 minutes

In the past few months, I have heard many questions about selecting the right enterprise analytics tool. Organizations are either evaluating their current vendor, or making a decision to invest in a paid enterprise analytics tool for the first time. Many of these organizations have been using free tools like Google Analytics, and now feel like it is time to take their analytics game to the next level.

Analytics

I have decided to put together a short list of criteria to keep in mind when deciding where to invest your money. As you are reading this post, please keep in mind the following:

  • This is not a feature by feature comparison but rather a short guide of criteria to keep in mind before you begin evaluating all the technical features and product characteristics.
  • Although I tried to remain unbiased while putting this together, I want to acknowledge that InfoTrust is a Google Analytics Certified Partner and Google Analytics Premium Reseller.
  • Even if you are tempted, do not go to the website of one of these solutions before you define some of these requirements. These tools will promise to have all the features you need to solve the world’s greatest problems; the question is what percentage of the functionality you’ll end up using.

Let’s begin.

1. Limitations of the free tool. “Enterprise level solution,” sounds important, but what does it really mean? There are a number of free web analytics tools on the market – Piwik,Google Analytics, and mixpanel (under 25,000 data points) are the most common ones. The question to ask yourself is what can’t I do with a free tool? I suggest being very specific in outlining these limitations. Keep in mind that if your traffic does not reach the limits enforced by the free tool, you always have an option to spend the money on an analyst to work on tool customization and data analysis instead.

2. Total cost of ownership. Webtrends’ price varies based on server call volumes; SiteCatalyst’s price varies based on server call volume and additional add-on tools. However, beyond the price of the tool, how much will you have to invest in the solution implementation? Will the implementation cost be covered by the price of the tool? Keep in mind that you might need to hire an outside consulting company to help with implementation and utilization of all the paid features.

3. Account management and support. Who are you going to call? This is a big question that often carries a hefty price. When it comes to your data, you do not want just a 1-800 number, you want dedicated support. Is this support an additional cost or is it part of the price of solution?

Customer Service

4. Metrics your team needs. The answer to this question is tied to the goals and KPIs of your organization. Tools like Adobe SiteCatalist, Google Analytics Premium and IBM Coremetrics will offer you every report possible, the question is to know what information you need to help you make ongoing marketing decisions. Talk with different stakeholders, and identify what information is necessary and how it should be delivered. This will not only help with selecting a tool, but with tool configuration.

5. Data democratization
. This is an interesting item to keep in mind, as it consists of numerous criteria:

  • Metrics and dashboards for different people – everyone in your organization can use quality and actionable analysis. The key is to identify what matters for different departments, and being able to create custom reports, dashboards and alerts to meet everyone’s needs.
  • User management – how can you manage users and user provisions? For example, inside Google Analytics Premium there are only two types of user accounts:  Users and Administrators. Make a list of people inside the organization and define what you would want to allow everyone to be able to do. Do not overcomplicate this as ongoing user management might be a tough task.
  • Department wide training. It is not enough to train a person who will be the web analytics owner inside the organization. Everyone who wants and needs to use the tool will have to be properly trained.

6. Ease of use. Take a look at the products screen by screen, report by report, and compare how intuitive these tools are. If you are going to create an analytics driven culture inside your organization, the tool you select should be easy to use.

7. Training and consulting. How easy is it to going to be to find additional training and consulting, if necessary. For example, Google Analytics has an extensive partner network and WebTrends has a list of global partners. It is important to consider the market price for training and consulting around the solution you select. There are more agencies that are skilled in Google Analytics, and so it might be easier and cheaper to find a qualified trainer/consultant.

8. Free education and knowledge base. I love Google Analytics for this feature. There is an unlimited amount of free content about making Google Analytics work for your organization. And since Google Analytics Premium is built on top of all the features that Google Analytics has to offer, this offering is very important. Google Analytics University on YouTube has over 100 videos with excellent content.  Additionally, there are excellent blogs that can help you get acquainted with the tool and its functionality. There are also a number of online Google Analytics user communities.

9. Going beyond traditional features. As mentioned before, I am not going to have an extensive excel table comparing features of different web analytics solutions. However, keep in mind the following analytics functionality when selecting your solution. Will you have  to pay extra for this functionality:

  • Mobile analytics – analytics for mobile sites and mobile applications.
  • Social analytics – how social media impacts your traffic and conversions.
  • Cost data import – can you import cost data from other sources.
  • Advanced segmentation – this is the key to website optimization.
  • Attribution modeling – different marketing tactics contribute to your conversions, what is the right breakdown for your marketing mix.
  • A/B Testing – does the solution offer you the ability to run tests to optimize for conversions?
  • Real time – who is using your website right now? We are real-time analytics fanatics, check-out the video:

10. Data export. In an age when every enterprise is curious about data warehousing, the ability to export your data and integrate it with your CRM or data warehouse is an important evaluation criterion. However, this only matters if you know what you will be able to do with the data that you export. Do you have the resources to extract data via API plot it against other data sources and mine it for actionable information?

Will it get you there? Ultimately, this is the test. There is no perfect tool, they all have leaks. Your goal is to move forward, so you have to ask yourself what you REALLY need and which tool can help you achieve your goals fastest, cheapest and easiest.

Blog post written by Michael Loban

Author

  • Michael Loban

    Michael Loban is the CMO of InfoTrust, a Cincinnati-based digital analytics consulting and technology company that helps businesses analyze and improve their marketing efforts. He’s also an adjunct professor at both Xavier University and University of Cincinnati on the subjects of digital marketing and analytics. When he's not educating others on the power of data, he's likely running a marathon or traveling. He's been to more countries than you have -- trust us.

Facebook
Twitter
LinkedIn
Email
Originally Published: March 4, 2013

Subscribe To Our Newsletter

May 10, 2023
Originally published on March 4, 2013

Other Articles You Will Enjoy

Predictive Analytics in Google Analytics 4: How to Use Machine Learning to Forecast User Behavior and Outcomes

Predictive Analytics in Google Analytics 4: How to Use Machine Learning to Forecast User Behavior and Outcomes

Google Analytics 4 (GA4) is embracing the power of machine learning by incorporating predictive analytics within the platform so that you can use your…

7-minute read
Leveraging Custom Dimensions and Metrics in Google Analytics 4 for Content Performance Measurement: Best Practices and Real-World Examples

Leveraging Custom Dimensions and Metrics in Google Analytics 4 for Content Performance Measurement: Best Practices and Real-World Examples

In today’s digital landscape where content reigns supreme, understanding how your audience interacts with your content is paramount for success. For news and media…

5-minute read
App Install Attribution in Google Analytics 4: What You Need to Know

App Install Attribution in Google Analytics 4: What You Need to Know

App install attribution in Google Analytics for Firebase (GA4) is a feature that helps you understand how users discover and install your app. It…

6-minute read
Leveraging Attribution Models in Google Analytics 4 to Improve Your Marketing Strategy: Tips and Best Practices

Leveraging Attribution Models in Google Analytics 4 to Improve Your Marketing Strategy: Tips and Best Practices

In the dynamic landscape of digital marketing, understanding the customer journey is crucial for optimizing strategies and maximizing ROI. Google Analytics 4 (GA4) introduces…

5-minute read
Tracking User Behavior with Events in Google Analytics 4: Examples and Use Cases

Tracking User Behavior with Events in Google Analytics 4: Examples and Use Cases

So you’ve created your Google Analytics 4 (GA4) properties, created your data stream(s), and followed all the necessary steps to configure your property. Now…

5-minute read
Deploying Digital Analytics Changes at Scale for CPG and Multi-Brand Organizations

Deploying Digital Analytics Changes at Scale for CPG and Multi-Brand Organizations

The digital analytics industry is going through seismic shifts, and it is important for CPG organizations to stay abreast of the changes and stay…

5-minute read
Advanced Analysis Techniques in Google Analytics 4: How to Use AI-Powered Insights and Predictive Analytics for Effective Marketing

Advanced Analysis Techniques in Google Analytics 4: How to Use AI-Powered Insights and Predictive Analytics for Effective Marketing

AI-powered insights and predictive analytics are revolutionary tools reshaping the modern marketing landscape. These advanced analytics techniques, particularly prominent in Google Analytics 4 (GA4),…

8-minute read
Is It Time to Upgrade? 4 Signs Your Organization Needs Google Analytics 4 360

Is It Time to Upgrade? 4 Signs Your Organization Needs Google Analytics 4 360

As VP of Partnerships at InfoTrust, I’ve had the opportunity to talk with hundreds of decision-makers about their interest in upgrading to Google Analytics…

4-minute read
Google Analytics 4 Implementation Checklist: Ensure You’re Tracking Everything You Need

Google Analytics 4 Implementation Checklist: Ensure You’re Tracking Everything You Need

In the dynamic landscape of digital marketing, data is supreme. Understanding user behavior, preferences, and interactions on your website is crucial for making informed…

4-minute read

Get Your Assessment

Thank you! We will be in touch with your results soon.
{{ field.placeholder }}
{{ option.name }}

Talk To Us

Talk To Us

Receive Book Updates

Fill out this form to receive email announcements about Crawl, Walk, Run: Advancing Analytics Maturity with Google Marketing Platform. This includes pre-sale dates, official publishing dates, and more.

Search InfoTrust

Leave Us A Review

Leave a review and let us know how we’re doing. Only actual clients, please.