We don’t deliver a checklist of things you missed and settings to configure, we make sure your data answers you most pressing business questions.

Solution Design Audit

Complete review of all your data and how it’s being used.



Consultant leads implementing the action plan. Tech resources available.

Instant Audit Tool

70+ GA4 tests in 90 sec. Find critical issues and recommended solutions.


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.

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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.

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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.

Brands That Trust Their Analytics to adMind

How Much Does an Opportunity Cost?

It can be hard to place an exact value on an investment in proper analytics. Most marketers understand the value of data but few understand how to design a proper analytics system.

If building a proper system feels costly now, consider what can happen when you make decisions based on bad data.

The following stories are real, painfully real, but the names and identifying details have been withheld to protect the innocent.

The Cost of The Wrong Currency Tag

'Company A' was using GBP instead of USD in the data reporting ROI and for 18 months operated as though they were 30% more profitable than they really were. 

When The Traffic, Cart and Accounting Go Blind

Company 'B' had silos between the teams generating traffic, the team owning the website experience and the team with all the accounting data, and none of them had access to each others data.

Too Many Chefs in The Code Kitchen

Company 'C' had marketers, developers and C-level people each with access to change the web experience. So, naturally, everyone made changes on an island and no one updated analytics to reflect the new experiences. 

What adMind Offers You

Proper analytics 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.

You probably don’t need all these roles on your marketing team all the time, but you do need all these different skill sets to be successful in creating a proper analytics system.

adMind Analytics hires engineers with specific skill sets and disciplines so that we can design and implement proper analytics systems for any size businesses.

Whether you spend $50k per month or $5M a month in digital media, we have a highly skilled team at your disposal.

Analytics Architects

Architects design the technology solution to support an analytics system customized around your needs.

Analytics Engineers

Analytics Engineers assist in and or implement systems to properly collect data from multiple systems.

Data Engineers

Data Engineers extract data and join data collected on a user from one system with data collected on that same user in other systems in preparation for analysis.

Visualization Engineers

Visualization Engineers take the available data and make it accessible to the right people in the right formats.

Business Analysts

Business Analysts review the data to spot significant outlying data points and present likely causality around performance changes.

Project Managers

Certified PM's breakdown the scope of work outlined by Architects and work with our internal teams to report work to clients.

Questions? Let's talk about what you need.

We want to hear what you’re dealing with so we can be as helpful as possible.

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Working with adMind

Strategy Call

Speak directly with a solution engineer instead of a sales rep to discuss what your goals are and where your team is getting stuck.

30 Minutes

Engagement Details

We make sure all the stakeholders are on-board and understand the details of an engagement.

3 Business Days

Audit & Solution Design

We interview all stakeholders to understand what your business needs from marketing analytics, and then we review all your data collection and consumption practices.

10 Business Days

Implementation by Phase

With the findings from our Audit and Solution Design we create a phased approach to implementing the engineering work required to build your new analytics environment.

Depends on Scope

Periodic Outcome Reviews

During and at the end of each phase we review outcomes, roadblocks, wins and areas for improvement to ensure the 'hope' of improved outcomes is turning into your reality.

12 Months In

Future Engagement Planning

For some organizations a single phase is all that is needed, for others multiple phases are required and in most cases, even after the initial work is done, business return for updated work as their business needs evolve.Anytime
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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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