We are the
“un-agency.”
We care about transparency and high-quality services without gatekeepers.
Before starting her own company, Kate was the Director of Analytics at a large agency. She loved the client work but hated a lot about the agency model: the overhead, the obscurity on rates and timelines, the numerous people between her and the client, and the talent “bait-and-switch” that happened between pitches and practice. Kate’s personal goal is to be the best marketing data-scientist in the world and the business model got in the way of the work.
digData is different. As a boutique analytics firm, we have an intentionally small team focused on data analytics and data science and work with a very limited number of clients. We want to feel like part of your team and all team members, including senior leadership do the work – no smoke and mirrors here.
All of our clients were initially looking to hire a full-time team member instead of an agency. What they found was we were a better option for multiple reasons:
- We are typically cost-neutral with a single full-time hire and our clients frequently comment on how much more we are able to get done.
- For their budgets, data thought leadership was hard to find. They may be able to find people with technical skills, but getting people to tell them the “what, why and when” that elevates the whole team was very difficult.
- We have various levels of expertise and experience, meaning when a senior resource is needed it’s used and when a more junior resource can be used it is. This helps us move faster and be more efficient with costs.
- All of our analytics resources are located within the U.S. Our cost-savings come from efficiency not offshoring. The resources you meet with are the same resources doing the work.
- We seek clients that are synergistic but not competitive. This means all our clients benefit from the systems we build.
- We have developed many proprietary workflows and automations that can both be deployed quickly and personalized to your needs.
- Our built-in transparent project management means we can hit the ground running and take on a wide range of tasks with various dependencies without missing a beat.
Our Team
Thought leaders, machine-learning mavens, and conversion rate conquistadors.
Kate Bartkiewicz
Kate is a seasoned data-scientist with 15 years of experience working for Fortune 500s, SMEs and high-growth startups.
She has extensive experience building automated analytics solutions specifically designed to surface marketing inefficiencies, key customer segments and testing opportunities, and her marketing attribution models are being used to optimize billions of marketing dollars globally.
Kathryn Gonzales
As our data quality expert, Kathryn monitors the integrity of the data from organizations use to make decisions.
Her innovative solutions optimize the efficiency and quality of the data being collected, resolve data quality problems, and produce robust documentation for collaboration with database developers to improve systems and database designs.
Emily Cunningham
As our conversion rate optimization data scientist, Emily leads quantitative and qualitative research on customers, competitors, user experience, and industry benchmarks to identify testable opportunities for optimization.
Emily’s expertise in image detection, ML and automation bring scalable solutions and a higher ROI to our clients.
Sonia May-Patlán
Sonia is our UX-expert and CRO implementation lead. As a data-driven web developer, Sonia has the skills to both identify meaningful optimization opportunities and implement advanced tests.
Sonia helps our clients solve technology challenges and deliver slick, effective user experiences that convert.
Who We Work Best With
- Though we frequently bridge the gap between many stakeholders and interdisciplinary teams, we work best when we are considered part of the marketing team and report to marketing leadership.
- Our business has been remote-first for over a decade. We work best with companies that are used to remote team members.
- Companies that have resources available to act on insights benefit the most from working with us. While we can provide very specific recommendations, the ROI of data analysis increases when paired with marketing channel leaders that can and will act on them.
While we are happy to build reports and dashboards, we provide the most value to businesses that are looking for a significant amount of data-driven thought leadership, for example businesses with the following questions:
- Am I measuring the right customer behaviors?
- How complete is my data across the customer journey?
- What Marketing KPIs matter most to my bottom line and how are they really trending over time?
- What is my return on ad spend for each marketing tactic? What attribution model should we use?
- How do I compare to industry benchmarks?
- What can I learn from my competitors’ marketing efforts?
- What customer segments should we focus on?
- Does my user experience follow best practices?
- How can I better align my content and messaging to stages in the customer journey?
- If I had to cut 20% from my marketing budget, what should I cut? If I was able to add 20% to my marketing budget, where should I invest?