Accurately Measure the Impact of Your Marketing

We provide custom analytics audits, solution design and implementation for brands with emerging analytics needs.

Analytics Platforms

Analytics Audits

A review of your current analytics needs and capabilities that allows us to create a proper solution design.

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Solution Design

After having performed a comprehensive audit and review we recommend a development roadmap for building your analytics environment.

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We'll allocate hours per week towards completing your analytics project as quickly or as metered as your business needs dictate.

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Do You Trust Your Data?

Over 80% of marketers report confusion around their data.

Data Discrepancies

We ensure the data is aligned between your ads systems, web engagement systems and CRM or ecomm systems.

Data Collection

Our web engineers will audit, fix and QA all your data collection processes to make sure your data is clean.

Data Gaps

Our data engineers will make sure data collected in one system is properly joined with all the others.

Trust Issues

Our goal is to deliver consistent and reliable insights you can trust and act on to improve business outcomes.

Integrate Business Data Across Platforms

To scale business growth you need to see a complete picture of how customers engage with you and to do that you need your data integrated across multiple platforms.


Accurately track the traffic coming to you.

Google Ads

PPC, YouTube, Display.

Meta Ads

Organic or paid social ads.

LinkedIn Ads

Organic or paid social ads primarily designed for B2B audiences.


Organic, affiliate, direct, referral, email can all be effective marketing channels.


Connecting traffic acquisition with website engagement is critical for marketing succes.



An industry leading ecommerce platform.



One of the worlds most popular content management systems.



Another website content platform used by thousands of websites.


No matter what website platform you have it's critical to connect traffic data with engagement data.

Tag Managers

With tag management you can place one line of code on your site and manage the tracking pixels of multiple platforms.

Google Tag Manager

Google Tag Manager is one of the more common tag management systems used.


Segment is another popular tag management platform.


Tealium is yet another platform that can manage your data through tags.


Tag management is just a tool, it's not an analytics strategy in and of itself.


Proper analytics brings all your data together allowing you to see a more complete picture.

Google Suite

Google offers multiple analytics products, GA4, GA4 360, GTM all play a roll.

adobe Suite

Adobe has a suite of products that facilitate analytics data collection.


Heap offers multiple analytics feature sets in a single platform.


It's possible you have a custom analytics platform designed around your business.


Now that your data is collected and connected it's time to visualize it in a way that helps you make better decisions.


Tableau is a very popular data visualization tool.

Power BI

Power BI is a Microsoft data visualization tool.


Looker Studios is a Google product for data visualization.


You need a partner you can trust to help you build a proper analytics practice.

Book Your Free Strategy Call

To keep you moving forward, your first call will be with an analytics engineer, not a sales rep.

adMind Analytics Pricing

Quality insights are not a software product, it’s not a tech stack, it’s a strategic plan for aligning marketing data across multiple systems. We design analytics solutions, which means, we help you plan, collect, clean, visualize and analyze the marketing data relevant to your business goals. From there we ensure proper quality assurance practices are in place so that as your campaign initiatives change your ability to accurately report on them does not.

Start with An Audit

Audits are helpful for two reasons.

First – They allow us to see how your current analytics system is trying to, or failing at, serving your business.

Second – By evaluating your marketing analytics we see first hand where the gaps are and it allows us to plan a roadmap accordingly.

See Audit Pricing

Build Out Your Solution

Once an audit is completed we can begin working towards the desired outcomes.

We’ll work with you to prioritize the issues that need to be fixed first against all issues on the roadmap.

Each week your team will meet with our Project Management team to discuss needs and updates.

See Hourly Rates

Emergency Services

Sometimes you have analytics needs that are time sensitive to the business. This is not our preferred method of engagement.

How it Works

We Understand

Being in charge of marketing data collection 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.


Custom web analytics audits delivered in the last 7 years.


Team members here in Salt Lake City, UT.


The number of times we haven’t been able to help.

Ready to see how proper analytics can drive growth for you?

1. Tell Us What
You Need

2. We Optimize Your Analytics

3. Grow Your Market on Data You Trust

All the analytics skills. One goal.

From project management, to solution design to business analytics – our team is uniquely skilled to build your analytics.

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.

Brands That Trust Their Analytics to adMind

Book Your Free Strategy Call

To keep you moving forward, your first call will be with an analytics engineer, not a sales rep.


Why is data accuracy important?

Without confidence in the accuracy of your data you will be left making decisions based on your ‘gut.’

Surprisingly, studies suggest your ‘gut’ is actually quite an intuitive little partner, but wouldn’t you feel less anxiety if you knew the information you were considering as part of the decision making process was accurate?

What is an example of data accuracy?

Marketing data has a different definition of accuracy than say, accounting data. Due to internet speeds, browser settings and myriad of other factors your marketing will data will never represent reality with 100% accuracy.

In marketing, your data should be under reporting your reality by between 5 and 10%. Meaning if your accounting system shows 50 new deals your marketing should have reported at least 45.

If your marketing data is over-reporting your reality, so 50 new deals in the bank and marketing shows even 51 – you have an accuracy issue.

The key is being able to maintain the 5-10% disparity over time. The gap should be consistent.

How can I tell if my data is accurate?

Internal data like accounting information should be your North Star. From there your marketing data should be reporting 5-10% less.

If your marketing data is reporting more than your actual known reality, be it lead counts, purchases, etc, you have an accuracy issue.

Is there a difference between data accuracy and data quality?


Data accuracy is the practice by which you ensure you have numbers that effectively represent reality.

Data quality is how well those numbers empower you to effect change.

What is technically acceptable data accuracy?

Technically acceptable data accuracy is when the data does not represent reality but falls within an acceptable margin.

Your margin is unique to the various conditions of your market, business and other operations but should fall somewhere between 5 and 10%.

Marketing data should always under report reality AND the margin should be consistent over time.

What is technically unacceptable data accuracy?

Anytime your marketing data is reporting more than your reality you have technically unacceptable data.

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:

  • Maximize your tech stack.

  • Develop influential content.

  • Align your org on KPI's and metrics.

  • Focus teams on what matters.

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