Creating Insights from Marketing Data
Get the leanings your team needs to drive growth for your business.
So Much Data
So Little Time
Modern marketing data accumulates faster than any human could ever hope to analyze – mo data mo problems.
Often we see marketing teams spending more time solving data problems than marketing ones. It’s not that marketers aren’t gifted thinkers but as marketing data has become more complex marketing teams are not being staffed with dedicated data engineers.
As a result you have great people spending their time and talents solving problems outside their wheelhouse, meanwhile you’re competitors are beating you to the insights needed to grow your audience and build your influence.
Too Much Data
Marketing teams have multiple channels, campaigns and conversion paths, which means data you could look at collects faster than any human has time to review.
What is an insight? What corresponding actions add up to a desired outcome. Teams that don't have alignment often argue about data integrity instead of moving their business forward.
Bad Data Processes
If your data is not quality checked regularly, but your campaign initiatives change regularly, the chance you have bad data is high.
Data Blind Spots
Without a proper analytics plan, teams often end up making decisions with a limited view of their impact.
What is an Insight?
After conducting hundreds of interviews we know one thing, not many people define marketing insights the same. Why does that matter? Well, if the goal of an analytics program is to deliver insights, we think there should be some mutual understanding.
An insight is a deviation from an expected result.
Expectations can be set from past performance, intuition or anticipated outcomes – but when they go unmet we want to know why.
How We Help You Win
An insight that tells you why something failed is just as valuable as one that tells you why something succeeded. Often times marketing teams operate at such a high production pace that there is little time to identify why something ‘went well’ – usually it’s just a high five and we move on.
A proper analytics practice built by adMind will help you surface relevant insights quickly and equip you with the likely causes so you can go investigate.
Don’t leave your success to chance.
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.
We know it can be tough, we see it all the time. Most marketing teams are tasked with driving revenue and at the same time are asked to be technology integration engineers.
These marketing teams are then left fighting all kinds of data issues rather than spending their time influencing marketing.
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
1. Tell Us What You Need
2. We Optimize Your Analytics
3. Grow Your Market on Data You Trust
Ready to see how proper analytics can drive growth for you?
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: