adMind Analytics a Google Analytics Agency
Reasons You Need to Migrate to GA4
Google Product Experts
Over the last 8 years we’ve dedicated ourselves to building proper analytics programs for our clients. We’ve processed millions of sessions, set up hundreds of events and managed more analytics systems than we can count
Google Analytics + 360
Google Tag Manager + 360
Looker + Data Studio
Common Issues with Google Analytics
Your marketing team should be focused on influencing people, not troubleshooting data issues.
What adMind Offers You
- Data doesn't feel right
- Numbers don't line up
- Tracking right KPI's
- Evaluate tech stack
- Review goals/objectives
- Design an integrated system
- Deploy code
- QA data collection
- Integrate across systems
- Upgrading to GA4
- Changing platforms
- Pushing data to new locations
- Insights you can trust
- Right data to the right people
- Focus on what matters
- Join data between systems
- Prepared for analysis
- From web to accounting data
Customer Journey Analytics
- Contribution over attribution
- Report on upper funnel
- Drive more engagement
- See only what you need
- Don't track everything
- Focus on what matters
We're more than happy to train your team along the way to make sure you get the most from any engagement with us.
A Google Analytics Agency Should Provide Insights
Get The Insights You Need To Grow
Proper Google Analytics experts should provide your team with clean, accurate insights they can act on.
Google Analytics Agency Experts
Our service offering provides you with access to a complete set of analytics engineering skills.
Role: Analytics Architect
The design of an analytics system based on business needs, its configuration, the customer journeys that are encompassed, and the function of the website, app, etc.
What data should be collected (including metadata), what events should be collected (and what should trigger their collection), how the analytics system cooperates with other tech that is in use.
How it should be grouped or rolled up to accommodate answering meaningful questions.
Role: Analytics Engineer
The implementation of tracking such that the analytics architecture is translated into a real-world system. The verification of all events, triggers, and integrity of the data both at time of collection and in the destination systems that collect the data.
Role: Data Engineer
The transformation, enriching, and cleanup of data via a series of logical, well-documented steps that provide the capability of a business to trust the output data.
Through this process there should be singular places to get each piece of output data. The logic behind the cleanup processes should be congruent across an organization.
Role: Visualization Engineer
The translation of clean, enriched data into meaningful dashboards, reports, exploration tools that leverage visualization to facilitate meaningful interpretation of data with as few distractions as possible.
Role: Data Analyst
Through the use of dashboards, reports, and exploration tools (which could include ad hoc SQL work), mining for insights (something different than expected or new opportunities).
This can take the form of answering an explicit question from within a business, exploration for the sake of seeking insights, or at the prompt of a monitoring system.
Role: Optimization Engineer
Pulling the learnings from each step in the process our teams come together to create ideas for iterative testing our clients can use to narrow down the cause and effect of the insights discovered in their data.
This allows everyone to move forward with confidence knowing what each lever in the campaign is doing to contribute to increased ROI.
Bring The Customer Journey To Your Google Analytics
Without a proper data collection plan based on your known customer journey, you are left trying to piece together data from different systems after the events have happened.
Recreating the customer journey after it’s happened is incredibly frustrating and very time consuming
When you build your analytics around your customer journey, you spend your time improving their experience and not wrestling with data integrity issues.
Wasting time, money and energy spinning wheels arguing about data definitions, KPI importance, etc
Integrate Your Web Data
With Any of Your Other Data Systems
The Google Analytics Agency Level Service You Need
The days of a single ‘analytics person’ are long gone. No single contractor has the skills in all the areas you’ll need to build an analytics program. We know, we’ve looked.
You need an Analytics Architect, Data Engineers, Analytics Engineers, Visualization Engineers and Business Analysts to properly create, deploy, QA and leverage marketing data.
You can hire firms to run your website through a template checklist of ‘audit’ checks, or, you can hire thought partners to ensure your data is actually creating an impact.
We help uncover areas where you can allocate additional time and attention with confidence, knowing that your investment will have an impact.
Being in charge of implementing marketing technology is a difficult place for marketers to find themselves, we get it. Before coming to adMind we all wrestled with marketing data, it’s why we started adMind.
Through the years we’ve come to understand what it takes to get the right mix of people, process and technology in place to build proper analytics practices that scale as your business grows.
Salt Lake City, UT.
All the Analytics Skills. One goal.
From project management, to solution design to business analytics – our team is uniquely skilled to build your analytics.
Tyler St Clair
Ready to see how a Google Analytics agency can drive growth for you?
1. Tell Us What You Need
2. We Optimize Your Analytics
3. Grow Your Market on Data You Trust
Measuring the Impact of Marketing
adMind Analytics is a team of specialized technical and strategic engineers, programmers, analysts and strategists. We don’t just ‘fix reports.’ We work with brands who want to activate their marketing data from traffic acquisition all the way through customer lifetime values. No technology alone can create the specific and strategic plan your business will need in order to get the most from that data, and that is where adMind comes in.
It starts with a call to discuss your business goals and immediate analytics needs. Then we perform a strategic audit to see if you have the right technology to support your goals, if that technology is configured properly and tracking accurately. This often spans a review of your analytics tech stack, acquisition platforms, CRMs and any other tech toys you may have on the shelf.
Once we know your goals and have diagnosed where you sit today we can create a roadmap for building out a proper analytics practice. You may decide to load all that work into a few months or over a longer period of time based on what is important to know now, and what you’d like to build towards knowing in the future.
Better insights, better outcomes.
GA4 is a new methodology for collecting data, which means it is a new property and not just an upgrade to your existing Universal Analytics account.
First you need to create a new property for every existing Universal Analytics property you want to continue recording data for.
From there you'll want to make note of all the reports you've built and are still using so you can recreate them in your GA4 account.
Next, start familiarizing yourself with the GA4E Explore tool as this will become your primary user interface inside GA4.
Finally, we recommend you enable the GA4 to Big Query integration even if you're not planning on doing anything in Big Query soon or ever. When the day comes you'll be glad you pushed all the data over.
Universal Analytics will stop collecting data July 1 2023, but will allow you to access data until October 1 2023.
You cannot migrate over existing views, goals or settings.
You should be keeping your eye out for a 'goal to migration' tool that Google should be releasing soon that will help you understand how to convert goals in UA to goals in GA4.
Yes, you can and should create your GA4 property and begin collecting data there and in UA until UA is deprecated July 1 2023.
Native integrations between GA4 and GA Search Console or Google Ads - will all need to be turned on again in your GA4 property.
If you have a 3rd party tool that is currently integrated with UA, you'll need to figure out if and when that tool provider will be releasing a tool that will allow you to integrate with GA4.
Finally, if you've built a custom integration, anything that is hitting the Google Analytics API, it will need to be rebuilt with GA4.
Brands That Trust Their Analytics to adMind
Measure your marketing impact
Ready to see how proper analytics can drive growth for you?
Schedule a strategy call today. Learn how a proper analytics practice can help you: