Ecommerce Powered by Analytics

Confidently report ROAS across all acquisition channels.

Channel Insights

Identify key trends between acquisition channels so you can do more of what's working and less of what's not.

Audience Insights

Uncover important details about your audience, where they first interacted with you and what content contributed to the purchase.

Behavior Insights

Learn more about how your audience moves from early stage awareness through consideration and purchase so you can build a better experience for them.

Problems Aligning All The Data

Properly organizing ecommerce data so that it surfaces relevant insights quickly can be a challenge.

Data Discrepancies

Teams get frustrated constantly trying to figure out why the numbers don't match up.

Bad Data Collection

Is your code properly deployed and are you updating tracking every time you update initiatives?

Data Gaps

Not all of your data centers will naturally join the same users data together, how are you solving this?

Trust Issues

Go into enough meetings with bad data and before you know it, everything is a 'gut' decision.

Integrate Your Ecommerce Data

With Any of Your Other Data Systems

Google Analytics Products

Migrating from UA to GA4, or the enterprise Google360 product, we can bring it all together.

Adobe Analytics Products

All the tools in the the Adobe Experience Cloud are designed to deliver insights, and we can help you get them.

Custom Analytics Builds

Custom Analytics

Looking for an even more custom analytics build. Regardless of the tech stack you have or need to use our team can bring it all together for you.

Facebook Ad Platform

Facebook Ads

Bring Facebook level ads data into focus as you consider its overall impact on your marketing efforts.

Google Ads

Bring search ads data together with social and web engagement to paint a clearer picture of the customers journey.

LinkedIn Ads

If you're in the B2B space you're going to want to see the LinkedIn performance data within the context of other ads platforms and website performance.

Tealium

Tealium acts as like a central station looking for events from your customers and then reacting to those events with enhanced engagement creating a more personalized experience. Are you getting the most out of it? We can help.

Tableau

One of many popular visualization tools designed to help you quickly identify trends in your data that you can act on. We can make sure the data going in is clean, accurate and connected by user across platforms.

Etc.

If it has to do with data

Our engineers can help you design and build around the tech stake your business needs to collect it, store it, see it and act on it.

Get The Insights You Need To Grow

Your marketing team wants insights to help them make better decisions and to get those insights you need data you can trust.

Consistent Insights

We will you build an analytics practice that delivers accurate insights consistently so you can grow your business.
Data You Can Trust

We can accurately deploy and QA the data collection across all your systems so you know what you have is accurate.
Organized Data

We have the experience to help you design an analytics practice that is organized around your business goals.

Technical Credibility

We can help you bridge the gap between marketing requests and development team needs.
Accessible Data

We will help make sure you are getting the right data to the right people so they can make decisions and stay informed.
Scaleable Growth

With consistent, reliable data you can generate insights and do more of what's working and less of what isn't.

adMind Analytics Pricing

Data accuracy is not a software product, it’s not a tech stack, it’s a strategic plan for aligning marketing data across multiple systems. We desgin 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 Audit and Solution Design

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

Implementation Work

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.

183

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.

Get Started Today

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.

FAQs

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?

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?

Yes.

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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