Data Science & Analytics Projects
Turning Complexity into Strategic Clarity
At District Analyst, we specialize in high-impact analytics projects that help organizations move faster, operate smarter, and scale with confidence. Our work spans a range of industries and business challenges, but every engagement is rooted in the same philosophy: use data to drive meaningful decisions.
Below is a selection of recent projects that showcase the type of clients we serve and the outcomes we deliver. From funnel optimization to executive KPI systems, these engagements reflect our commitment to clarity, precision, and performance.
Series B Computer Hardware Startup
Propensity Modeling to Accelerate High-End Product Sales
The Challenge
A rapidly growing computer hardware startup, fresh off a Series B raise, was entering a critical growth phase. With a wide product catalog and a surge in customer acquisition, they needed to prove they could scale profitably. Their high-end systems were the most profitable, but marketing spend was spread thin across all segments.
Leadership came to District Analyst with a specific question:
“Which customers are most likely to purchase our high-end systems in the next 30 days?”
The Goal
Increase revenue and improve marketing ROI by identifying and targeting the subset of customers most likely to purchase premium hardware—quickly.
Our Approach
We worked closely with the startup’s internal marketing and product teams to unify customer data across CRM, ecommerce, and web behavior platforms. Then we layered in demographic and behavioral insights to build a predictive view of their customer base.
Using a logistic regression-based propensity model, we identified key signals—such as purchase history, income proxies, job title, and website engagement—that correlated with premium product interest.
Each customer received a propensity score indicating their likelihood to purchase a high-end computer in the next 30 days. These scores were fed into their CRM and ad platform to inform targeting.
What We Delivered
A custom-built propensity model trained on recent customer behavior
A prioritized list of high-propensity customers for targeted outreach
A go-to-market playbook including tailored messaging strategies for top segments
Real-time scoring pipeline to keep campaigns fresh and responsive
The Results
Within 30 days of launching the targeted campaign:
✅ 25% increase in high-end system sales
✅ Significant improvement in marketing ROI across email and paid media
✅ Stronger customer satisfaction and higher conversion rates from personalized messaging
✅ A scalable model that now informs multiple GTM strategies
Why It Mattered
At a time when the company needed to prove that it could scale with precision, this project delivered measurable revenue impact, smarter targeting, and the kind of operational discipline that investors reward.
This wasn’t just about selling more computers.
It was about building a smarter growth engine—one that knows exactly where to focus, and why.
Series B Fashion E-Commerce Brand
Customer Segmentation to Unlock Growth
The Challenge
A fast-growing online fashion brand had built a loyal following and solid revenue base—but after a successful Series B round, leadership faced a new question:
How do we grow faster without diluting the brand—or the bottom line?
They had a broad catalog and customer base, but needed clarity on which audiences to double down on, how to speak to them differently, and where to focus product development. That’s where District Analyst came in.
The Goal
Increase revenue and market share by building distinct customer segments—and customizing product and marketing strategies for each.
Our Approach
We conducted a comprehensive segmentation analysis using a mix of customer purchase history, demographic attributes, psychographic profiles, and third-party market research. The goal wasn’t just to group customers, but to define personas with actionable differences in needs, preferences, and price sensitivity.
We identified three high-impact segments:
Fashion-Forward Trendsetters – early adopters who crave exclusivity and are willing to pay for it
Budget-Conscious Shoppers – value-driven customers motivated by deals and affordability
Classic & Timeless Buyers – quality-focused customers who invest in long-lasting, versatile pieces
What We Delivered
A segmentation framework embedded in the client’s CRM and marketing stack
Targeted product recommendations for each segment
Messaging strategies aligned to each buyer persona
Activation plan across email, paid media, and merchandising
The Results
Fashion-Forward Segment: A limited-edition capsule collection sold out within weeks, driving urgency, exclusivity, and repeat engagement among style leaders.
Budget-Conscious Segment: A new “essentials” line drove acquisition at scale, lowering the barrier to entry and boosting repeat purchases among price-sensitive shoppers.
Classic & Timeless Segment: A premium line of high-quality staples became a top performer in both revenue and customer satisfaction, reinforcing brand credibility and margin.
Across segments, the company saw:
✅ Significant revenue growth across all three categories
✅ Increased share of wallet from returning customers
✅ Improved marketing ROI from precise audience targeting
Why It Mattered
This wasn’t about trendy campaigns or guesswork. It was about helping a fast-growing brand scale intelligently by aligning products, messaging, and marketing to what different customer groups actually want.
With clarity on who they serve—and how to serve them best—the company is now positioned to expand with precision, not just ambition.
Healthtech Platform
Funnel Analysis to Improve Conversions and Revenue
The Challenge
A growing digital health company offering medical products and services online had substantial traffic, but weak conversion rates across its digital funnel. With pressure mounting post-funding to prove revenue efficiency, leadership needed clarity: Where are we losing customers, and how do we fix it?
That’s when they brought in District Analyst.
The Goal
Increase conversion rates across the digital funnel and improve ROI on paid acquisition—without adding headcount or overhauling the product.
Our Approach
We conducted a full-funnel audit across web analytics, session behavior, and traffic attribution. Our analysis focused on identifying friction points—from page load speed to mobile usability—and layering in competitive benchmarks.
Key pain points we uncovered:
Slow-loading pages that created early drop-off
Confusing navigation and unclear value props
Mobile experience gaps hurting engagement and trust
No A/B infrastructure to test and iterate effectively
What We Delivered
A prioritized roadmap of UX and funnel optimizations
Implementation of digital tracking and custom conversion events
A/B testing setup and methodology
Channel strategy updates to align traffic sources with intent
Retargeting and SEO strategy to recapture and convert
The Results
+40% increase in conversion rate across the sales funnel
Dramatically improved mobile UX, reducing bounce and increasing time on site
Higher ROI on paid media from better-qualified traffic and optimized paths
Team enablement through testing infrastructure and ongoing performance monitoring
Why It Mattered
For this healthtech company, funnel fixes weren’t just about “getting more clicks.” They were about building a scalable, digital-first revenue engine, something that satisfied both customers and investors.
By improving the buying experience and layering in smarter targeting, we helped turn digital friction into conversion fuel.
TECH COMPANY - CONSUMER SEGMENTATION
We used K-means clustering to segment our clients buyers based on both demographic and transaction variables. Customer Segmentation allows our clients to target both buyers and acquisition groups based on like attributes.
Tech Company - 30-Day meta purchase model
We used Extreme Gradient Boosting to combine two models into one in order to predict which buyers and non-buyers are more likely to make a purchase in the next 30-days. This allows our customers to focus their marketing efforts those most likely to purchase.
Increasing Response Rates, Return On Advertising Spend and Return On Investment!