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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.

Examples of Our Work

Marketing Attribution

Fortune 500

Lead the development of a marketing attribution model to optimize $XB in global investments across more than ten channels and two dozen countries. The work was end to end and included:

 

  • Working with a cross-disciplinary team of marketing and finance to meet with every stakeholder to collect the data
  • Managing all data ETL 
  • Building an ML solution to compare thousands of models and then fine-tuning the top model.
  • Developing requirements for an excel interface on top of the model so stakeholders could quickly use it to run scenarios
  • Presenting all relation insights and progress to executive leadership team.



 We delivered the model in less time, at less cost and solving more business use cases than previous vendors. The model won internal awards at the company.

Learn More

Data Driven Marketing

Series C Start Up

digData was brough in as an alternative to a full-time Marketing Data Analyst hire.

 

We completely overhauled their analytics in 12 weeks; including:

 

  • Giving them a best in-class implementation
  • Building near-real time Marketing KPI reporting
  • Closing major holes in data collection across the end-to-end customer journey.
  • Launching a CRO program
  • Optimizing Google Ads

 

As a result we've doubled their onsite conversion rate. Our analysis has identified key customer verticals and guided stakeholders on how create effective content.



We've also used data to inform a new website and helped the marketing team over deliver on already aggressive lead goals. 

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Scalable Dashboards

300+ Enterprises

A large performance monitoring company was looking to provide more value to its insight services customers. The team of 30+ analysts served more than 300 customers but the analysis quality varied wildly by team member.


We developed a suite of 7 interactive dashboards coupled with training to enable their team to better serve their customers. Since doing so, the team has had better retention and customer growth while increasing the number of customers analysts are able to serve.


Reports have been in use by all insights customers for more than two years and we are currently working on more deeply integrating this reporting into the customer portal.

Learn More

Marketing Attribution Modeling at Fortune 500 B2B

Lead the development of a marketing attribution model to optimize $XB in global investments across more than ten channels and two dozen countries. The work was end to end and included:

 

  • Working with a cross-disciplinary team of marketing and finance to meet with every stakeholder to collect the data
  • Managing all data ETL 
  • Building an ML solution to compare thousands of models and then fine-tuning the top model.
  • Developing requirements for an excel interface on top of the model so stakeholders could quickly use it to run scenarios
  • Presenting all relation insights and progress to executive leadership team.

We delivered the model in less time, at less cost and solving more business use cases than previous vendors. The model won internal awards at the company. 


Learn More

Data-Driven Marketing Strategy at Series C Tech Start Up

digData was brough in as an alternative to a full-time Marketing Data Analyst hire. What they needed was both significant thought leadership and "hands in the dirt" to do the work, and they were not going to get that with their budget for a full-time hire. At the time, their Google Analytics implementation was done incorrectly, they spent a significant amount of money on paid ads that hadn't been optimized and their conversion rate had a lot of room for improvement. They also had many data silos between CRMs, digital behavior and marketing that made it difficult to understand the customer journey. 


We completely overhauled their analytics in 12 weeks; including:


  • Giving them a best in-class implementation
  • Building near-real time Marketing KPI reporting
  • Closing major holes in data collection across the end-to-end customer journey. 
  • Launching a CRO program
  • Optimizing Google Ads

As a result we've doubled their onsite conversion rate. Our analysis has identified key customer verticals and guided stakeholders on how to create effective content. We've also used data to inform a new website and helped the marketing team over deliver on already aggressive lead goals. 


Learn More

Scalable Dashboards serving 300+ Customers

A large performance monitoring company was looking to provide more value to its insight services customers. The team of 30+ analysts served more than 300 customers but the analysis quality varied wildly by team member. 


We developed a suite of 7 interactive dashboards coupled with training to enable their team to better serve their customers. Since doing so, the team has had better retention and customer growth while increasing the number of customers analysts are able to serve. Reports have been in use by all insights customers for more than two years and we are currently working on more deeply integrating this reporting into the customer portal.

Learn More

Customer Segmentation at High-Growth eCommerce

Client was a DTC company with 3,000+ SKUs that was also building retail partners. We built a BI database using SAP that blended customer data with Experian geo-demographic data in order to understand customer segments. The data was used to improve marketing personalization and achieved a 30% increase in ROAS shortly after implementation. 


The data was also used to inform inventory for retailers like Sprint, Walmart, T-Mobile, Best -Buy and Amazon. The data performed so well that Best-Buy and Walmart asked us to guide related inventory decisions. 

Learn More

Leading Analytics AI Development at Early Stage Start Up

Kate was a founder of an analytics AI company focused on bringing the same quality of insights in an automated way to small businesses. The SaaS technology connected to existing data and identified marketing inefficiencies, key customer segments and testing opportunities. Insights were transformed into easy-to-use, ready to present Powerpoint presentations.  The digData team was integral in building, testing and QAing the AI for the MVP used by more than 500 businesses.

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Our Team

Thought leaders, machine-learning mavens, and conversion rate conquistadors.

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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. 

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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.

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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.

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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?
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