DATA SCIENCE & ANALYTICS
Your Data Should do more than sit in a dashboard
We turn your data into tools that change your business—not reports that are out of date the day after delivery. Element Three’s data and analytics help you see clearly, act confidently, and grow intentionally.
Analysis That Outlives the Slide Deck
Every company that buys marketing eventually asks the same question: did it work?
Most can’t answer it well. The data lives in six platforms, the dashboards don’t agree with each other, and the people responsible for insights spend most of their time pulling reports instead of finding answers. The way people interact with data is changing fast. AI is making it possible to ask your business a question in plain language and get a real answer—but that only works if the data underneath is clean, connected, and organized.
The companies that win are the ones getting their data house in order now: building the infrastructure, the governance, and the analytical maturity that makes AI systems actually intelligent. They get:
Clarity Into What's Actually Working
No more debating which channel deserves credit. Answers are backed by data, not gut feelings.
Confidence in Where to Invest Next
Whether it’s a new market, a new campaign, or a new product launch, strategic decisions are based in data.
Connection Between Spend and Results
Close the gap between what you’re spending on marketing and what it’s doing for your business.
Decisions That Keep Getting Smarter
The best analytics don’t just answer today’s question. They build a system that keeps answering it better over time.
Translate what you're seeing into action.
You don’t need to know the diagnosis to get started. Most of the companies we work with don’t come to us saying “I need a tree-based factor analysis on my lead scoring.” They come to us saying something like one of these—and that’s exactly enough to get started.
We spend a lot on paid media but I'm not sure it's moving the needle.
Together we can leverage channel mix modeling and incrementality analysis that measure the true lift of each channel—separating what’s actually driving results from what’s just taking credit for conversions that would have happened anyway.
You end up with a media plan that optimizes dollars where they’re actually best spent.
Last year's numbers surprised us. We didn't see Q3 coming.
Using time series forecasting and demand modeling, built on years of market data, we can create a right-sized view of where sales are going to come from—accounting for seasonal shifts.
We send every lead to the dealer and most go nowhere.
Predictive lead scoring and propensity modeling allow us to rank prospects by likelihood to convert so you’re routing high-value leads to dealers not burning goodwill on dead ends.
Some dealers crush it and others can't close anything.
Dealer performance segmentation and tiering that goes beyond last quarter’s numbers can be leveraged to identify which partners have real growth potential which are underperforming relative to their market. You’ll know where the gaps in your retail coverage actually are.
Google says it drove all our conversions, but so does Facebook.
To help create media executions that align with your real customers’ journeys, we can use multi-touch attribution modeling to move past last-click credit and show you how channels work together. You can allocate budget based on real contribution not platform self-reporting.
What Happens When You Bring Us a Question
When you bring us a business question, we don’t simply answer it. We translate that business problem into a data problem, solve it, and then show you what’s possible beyond the original question. The first answer isn’t the final answer—and that is by design. That’s how we turn data into a competitive advantage for you.
How we systemitize your data:
1
We first find the simplest, highest-confidence way to answer the question right now. A few hours of work, the data you already have, and something you can use today. If it answers the question, great. If it reveals a better question, even better.
2
Next, we dig deeper. Why does this question matter to the business? Is there a more powerful way to get there? This is where we shift from service provider to strategic partner, and where the first answer often sends us somewhere more valuable than where we started.
3
If the question is worth answering more than once, we show you how to build the system that answers it on repeat. No more static reports. We create a living tool that makes decisions in real time and gets smarter as the data grows.
How We Support Your Business with Data
When you’re asking: “Where should we invest next? Which markets have real demand?”
We use machine learning forecasts built on years of market registration data to rank states and regions by growth potential, not just past performance. You get a Growth Index that balances market size, competitive gaps, and momentum so your media dollars go where they’ll work hardest.
When you’re asking: “What drives customers to come back? And what are we missing?”
We model the full customer lifecycle—from first purchase through re-engagement—to identify the behaviors and signals that predict whether someone will buy again. That means you can focus retention efforts where they’ll actually land, and stop spending on customers who are already coming back.
When you’re asking: “Which dealers have real potential, and which ones need a different approach?”
We segment dealer networks by potential, not just past sales. By layering in foot traffic data, market coverage, and engagement metrics, we can show you which partners are primed for growth and where the gaps are in your retail footprint.
When you’re asking: “What happens if we change this? What’s the real impact?”
Sometimes the most valuable analysis isn’t about what happened—it’s about what would happen if you made a different decision. We build simulation models that let you test scenarios before committing budget, headcount, or strategy. One client came to us planning to cut their call center team. Our model showed they were already at 205% capacity. Instead of cutting, they doubled the team, and service levels followed.
Have a question your data should be answering?
Let’s figure out what’s possible and have a conversation about what your data (and ours) can do for your business.
Frequently Asked Questions About Data Science & Analytics
How much data do we need to get started?
Less than you think. If you’re running paid media, have a CRM, or track website activity, you’ve got enough for us to start finding answers. We’ll audit what you have, identify gaps, and build from there. You don’t need perfect data to get started. You need a clear question.
Do we have to supply the data ourselves?
Sometimes, but we make it easy. In most cases, we connect directly to the platforms and systems you’re already using like ad platforms, CRMs, analytics tools, and third-party data sources. Where we need data from your side, we’ll tell you exactly what we need and in what format.
What about data security and compliance?
We take it seriously. All data is handled through secure cloud infrastructure with role-based access controls. We work within your compliance requirements and can scope projects to accommodate specific data handling needs. If you have an IT or legal team that needs to be involved, we’re used to that conversation.
How long does a typical project take?
It depends on the question. A focused analysis like a market forecast or a customer segmentation can produce actionable results in a few weeks. Larger infrastructure projects or ongoing analytics programs are scoped in phases so you see value early and build from there.
Can you work with the tools and platforms we already use?
Yes. We work across the major ad platforms, Google Analytics, HubSpot, Salesforce, and a wide range of CRMs, CDPs, and marketing automation tools. If you have a niche system, we can usually connect to it.
What types of data science and analytics capabilities does Element Three offer?
Our team works across the full spectrum of analytics — from foundational data infrastructure and reporting automation to advanced data science and strategic consulting. Specific capabilities include:
- Market forecasting and demand modeling
- Customer segmentation and cohort analysis
- Repurchase and churn prediction
- Lead scoring and propensity modeling
- Multi-touch attribution and incrementality analysis
- Channel mix optimization
- Dealer and partner performance segmentation
- Geospatial analysis and trade area mapping
- And more
What’s the difference between a dashboard and data science?
A dashboard tells you what happened. Data science tells you why it happened and what to do about it. Dashboards are essential and we build those too, but they’re a starting point, not an endpoint. The real value comes when you move from describing the past to predicting the future and making better decisions in real time.
Do I need to buy an ongoing retainer, or can I start with a single project?
Either. Plenty of clients start with a single question—a market forecast, a customer analysis, a data audit. If the answer is valuable and the question is worth asking again, we’ll show you what an ongoing engagement looks like.
Uncover what insights are hiding in your data
If you have a burning question about marketing performance or where to place strategic bets in the business, reach out.