Our data science team analyzes your business data to reveal who your best customers are, where revenue is leaking, and what's coming next — so you can make confident decisions grounded in evidence, not instinct.
Talk to Our TeamMost home improvement businesses are sitting on valuable data — job records, customer addresses, invoice history, repeat purchase patterns — but it's never been analyzed systematically.
Our data science services apply expert-grade techniques to your existing data. We surface the patterns, segments, and predictions that are already hidden in your records, so you can stop guessing and start acting on evidence.
All of our services are powered by state-of-the-art data mining and analytics algorithms, backed by experts in data analysis, data mining, and data science.
Customer segmentation & ICP analysis reveal the profile that drives your margins.
Sales forecasting gives you a data-driven view of what's coming so you can plan staffing and marketing.
Churn prediction identifies at-risk customers before they go silent — so you can act first.
We group your customers into meaningful segments based on behavior, location, job type, spend, and frequency. Each segment gets a clear profile — so you know exactly who you're serving and can tailor your marketing and service offerings accordingly.
Typical outputs: 3–6 distinct customer segments, behavioral profiles for each, geographic heat maps, segment size and revenue breakdown.
Not all customer segments are equally profitable. We analyze revenue, job costs, call frequency, and margin by segment — revealing which customers you should pursue more aggressively and which may be draining resources without the return.
Typical outputs: Margin breakdown by segment, cost-to-serve analysis, prioritization recommendations.
Your best customers share characteristics you may not have consciously identified — home age, neighborhood income, job type, how they found you. We reverse-engineer your top performers to build a precise ICP that guides targeting, advertising, and territory decisions.
Typical outputs: ICP definition with demographic, geographic, and behavioral attributes, scoring model for leads, targeting recommendations.
We build a forecasting model calibrated to your historical job volume and revenue — accounting for seasonality, growth trends, and market conditions. The result is a forward-looking view you can use for staffing, inventory, and marketing budget decisions.
Typical outputs: Monthly and quarterly revenue forecasts, seasonal demand curves, confidence intervals, scenario analysis.
We analyze which customers have gone quiet, what they had in common, and what signals preceded their departure. Then we build a prediction model that scores your active customers by churn risk — so your team can reach out before the relationship fades.
Typical outputs: Churn rate by segment, leading indicators of churn, at-risk customer list with scores, recommended re-engagement actions.
Have a specific business question your data could answer? Our team can scope a custom analysis — whether that's pricing sensitivity, geographic demand modeling, technician performance analytics, or something else entirely.
We'll tell you what's feasible given your data and what kind of answers you can expect.
We review what data you have, in what form, and what business questions you most want answered.
We propose a specific analysis plan and deliverables based on your data and goals — no surprises.
Our team applies data science techniques — cleaning, modeling, segmentation, or forecasting — to your data.
You receive a clear report with findings, visualizations, and specific recommendations — in plain language.
We walk you through the findings and answer questions so you leave knowing exactly what to do next.
Our expansion studies and data science services complement each other naturally. Use your ICP analysis to identify the customer profile worth chasing — then use an expansion study to find the territory where that profile is most concentrated.
Together, they give you a complete picture: who to target and where to find them.
Learn About Expansion StudiesIdentify the best markets for a new satellite office — ranked by housing data, competitor density, and real office availability. Delivered as a polished, actionable report.
Tell us what business questions you're trying to answer and we'll let you know what's possible.
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