Every marketing team deserves talented engineers dedicated to solving marketing data problems.
Marketing data is new in the last 20 years and as a result the way teams collect and consume the data is wildly inconsistent. This inconsistency is costing businesses a fortune in budget losses, opportunity losses and human resource waste.
The cost shows up when marketing data is not aligned with other operations data. This lack of alignment causes confusion, erodes credibility, and prevents growth. While the source of the inconsistent data is usually coming from marketing it’s not the marketing team that is to blame.
Marketing data practices are new and therefore lack consistent principles for collection, accessibility and activation, (the fancy way of saying you can generate insights from it.)
We see analytics pain most prominently with marketing teams of 10 or more whose businesses generate $50M annually or who are funded startups.
These are the companies who have what we call “emerging analytics needs.”
They are in situations where marketing data is now one of the biggest issues preventing growth, and the internal teams lack the specific skills, experience, or bandwidth to tackle the problem properly.
Companies with large data analytics teams, and robust technology stacks often could benefit from specialized attention around their analytics practice.
It's just that no matter how helpful we are to them, our efforts are never seen by the company as a whole, and our ability to truly transform the business with insights gets harder.
We want to work with clients where our team of engineers can power their team of marketers to create and deploy an analytics engine that delivers transformational insights on a regular basis.
We are a consultancy, and what we build are analytics environments that deliver clean, reliable insights for our clients. At the same time we develop software tools that serve to support our primary objective as a brand:
“We help marketing teams measure the impact of their marketing.”
We are not freelancing troubleshooters. When you feel like you are certain of the size and scope of your analytics issue, and you know the solution but just don’t know how to implement it, when all you want is someone to complete 1 or 2 tasks that are just outside your skill set – that is when you go to Upwork, Fivver or some other large scale support call center.
When you want a thought partner prepared to help you build a proper analytics practice so you can deliver consistent and credible insights to your business, when you need to scale your business and being accountable for every dollar matters more than ever, when you need an enterprise quality solution delivered by talented and committed marketing analytics engineers – that is when you come to adMind.
To develop a proper analytics practice you need 5 specific, yet separate, skill sets.
- Solution Design - Analytics Architects
- Data Collection - Analytics Engineers
- Data Engineering - Data Engineers
- Data Visualization - Visualizations Engineers
- Analysis for Insights - Business Analyst
The reason so many companies run into problems is because the world of marketing data has moved beyond free analytics accounts managed by your PPC/SEO team. We’re even past the point of hiring the generic ‘analyst’ to solve all your problems. Today’s data systems require deep skills in several different disciplines all coming together to build a proper analytics system.
Our product is insights, and to build a system that produces consistent insights you need expertise in all these areas.
The adMind Way
Consistency, not rigidity, in principles, processes and outcomes is how we build trust with our clients. This consistency and trust allow us to learn what your needs are, implement a proper solution and help you scale your insights.
We believe in a growth mindset, having extreme ownership and being radically candid. It’s how we operate internally and it’s how we strive to build relationships with those we serve.
Our team is incredibly talented, and the market is so short on talent that at any other company they’d almost all be in VP-level roles, but they choose to work at adMind because of the unique challenges we’re able to solve while staying intently focused on delivering insights.
Where many businesses get lost chasing shiny objects our team can lean-in and focus on solving specific problems.