Google Analytics Audits
Less than 10% of Google Analytics installations are providing marketing teams with accurate data. What would it mean for your brand to know it’s tracking the right data accurately?
What is in a Google Analytics Audit?
Do you need a Google Analytics audit?
The purpose of a Google Analytics audit is to compare what you have now with what your team needs to be successful.
Get The Insights You Need To Grow
A Google Analytics audit will make sure your marketing team gets insights to help them make better decisions.
Integrate Your Web Data
With Any of Your Other Data Systems
Access to a Complete Set of Skills
You don’t need these skills “full-time/all the time” but you do need them to build proper analytics environments.
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.
Not a 'how to' based checklist
We provide a comprehensive technology and data audit based around your desired business outcomes.
We apply a principled approach rather than a generic checklist.
Align the all stakeholders on purpose, scope and desired outcomes.
Once we agree on the scope of an audit, our team will begin scheduling discovery calls with all the stakeholders.
It's important that everyone internally is aligned on how and where marketing data will impact overall business outcomes.
Once we know who is depending on what segments of data, we can begin evaluating where your current analytics program is failing and what we'll need to do to correct course.
If your analytics program doesn't produce insights, why have it?
What is an insight? You'd be surprised at how little agreement there is in the marketing space on the definition of an insight and delivering insights is the product of any marketing analytics engagement we feel it's important to have a clear definition to build your system around. So here is ours;
Definition of an 'insight': a deviation from an expected result.
With that in mind we need to find all the places any deviations in marketing data may be found so that we can identify them, prioritize them and surface them to the proper individuals who will then use them to improve business outcomes.
The data must be accurately collected and joined across systems.
A proper analytics program is built around the idea that you are collecting the right data and accurately joining it with corresponding data from other systems.
The moment your marketing goals change, the analytics program needs to change too.
Where we see most teams fail at producing insights is when data collection is thought of after the dollars have been spent.
A proper analytics program sits alongside your marketing initiatives and works in-sync to provide you real time insights.
Get the right insights into the hands of the right people.
Business leaders easily become blind to data in charts. In fact, an entire movement within the analytics community was born out of this blindness called 'data story telling.'
The issue may be that data needs a story teller, but it's more likely that in an effort to be comprehensive a team has over-reported and fallen victim to the 'report everything' mentality.
Data is not useful if it's in a self-serve buffet style arrangement. We believe that with some care, thoughtfulness and strategy we can help you deliver the right KPI's to the right people so they can make the best decisions possible for their role.
After the review is complete our Analytics Architects will lead our team in preparing a technical roadmap of engineering implementation to fundamentally transform your analytics from something that drives anxiety into something that drives growth.
The written proposal will be delivered via a conference call with all the necessary stakeholders to discuss results, answer questions and address next steps.
We believe data should be helpful, and we can help you get it there.
We Provide the Expert 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.
What adMind Offers You
A proper analytics practice is not a software product, it’s not a tech stack, it’s a strategic plan that uses technology to provide you with valuable insights. We help you organize your data (traffic data, website data, customer data, accounting data) around the customer journey you are trying to influence. From there we ensure tracking is accurate and well defined, data points are being properly passed from one platform to the next and that you have reporting you can do something with.
Our Analytics Architects will design a proper analytics environment for your business.
Accurate Data Collection
Our Data Engineers work to ensure your data is accurately collected, quality controlled and prepared for use by your team.
Upgrading from UA to GA4? Transitioning from Google to Adobe? Looking for something custom, we can help you navigate the process and implement a scalable solution.
Customer Journey Analytics
We build all of our analytics systems with the goal of helping you better understand your customers needs, wants and desires.
As an analytics consultancy our primary objective is to deliver clean, reliable insights your team can use to improve business outcomes at scale.
We're more than happy to train your team along the way to make sure you get the most from any engagement with us.
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 proper analytics program 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: