Meros Labs transforms raw transaction data into a complete picture of who your customers actually are — segmented, enriched with demographic intelligence, and translated into decisions your team can act on next week.
Most growth-stage companies have more customer data than they know what to do with — and less insight than they need to act on it.
You run A/B tests and see flat results at the aggregate level — so you move on. But buried inside that noise is a segment where the experiment moved the needle by 40%. Decisions get made on averages that hide what’s actually happening.
A small group generates the majority of your revenue. You know they exist. You don’t know who they are, what they care about, why they stay, or how to find more of them. You’re flying blind on the segment that keeps your business alive.
Without knowing your true LTV by customer profile, every CAC decision is a guess. You’re spending the same amount to acquire customers worth $1,200 as customers worth $50 — and you don’t know which is which.
A three-step proprietary methodology that takes your transaction data from flat to actionable in two weeks.
Starting from raw transaction data — purchase history, products, prices, zip codes — we identify the natural behavioral groups inside your customer base. Every customer assigned to exactly one segment using a hybrid clustering methodology.
Hybrid K-means clustering · Rule-based flaggingWe enrich each behavioral segment with zip-level demographic intelligence — income, life stage, household composition, and our proprietary Wellness Propensity Index. Now you know not just how your customers behave, but who they actually are.
7 demographic variables · 8 life stage classifications · Proprietary indexEvery segment becomes a specific business decision with a dollar value attached. Not a slide deck of clusters — a prioritized action plan your finance and marketing teams can execute immediately.
Dollar-quantified recommendations · Actionable within one weekThe Strata Method · Proprietary to Meros Labs
“$102K–$160K in projected revenue opportunity identified across six specific initiatives in a single analysis.”
We built a complete customer intelligence analysis on Wellpath — a fictional wellness marketplace. 1,000 customers. 9 behavioral segments. The same methodology, applied to your data.
Click through every segment. Filter by demographic profile. See behavioral patterns, product mix, and CAC recommendations across the full customer base.
Open Live Explorer →The methodology, the enrichment layer, six dollar-quantified strategic recommendations, and a $102K–$160K revenue opportunity summary.
Read Case Study →Meros Labs |
Hire an Analyst |
Generic BI Tool |
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|---|---|---|---|
| Behavioral segmentation from raw data | ✓ | Sometimes | Rarely |
| Demographic enrichment layer | ✓ | Rarely | ✗ |
| Dollar-quantified recommendations | ✓ | Rarely | ✗ |
| Two-week delivery | ✓ | ✗ | ✗ |
| Operator-level finance expertise | ✓ | Varies | ✗ |
| Proprietary methodology | ✓ | ✗ | ✗ |
| No ongoing subscription required | ✓ | ✗ | ✗ |
I’m Ethan Markert — a B2C finance operator who spent a decade at Tinder and DoorDash owning the financial strategy behind their subscription products. I sat in rooms where the data had to turn into a decision, not just a finding. I built segmentation systems across customer bases of tens of millions of users.
Meros Labs exists because I kept seeing the same gap: companies getting analysis outputs they didn’t know how to act on. The Strata Method closes it — delivering customer intelligence, demographic enrichment, and strategic translation in two weeks.
Book a free 30-minute intro call. We’ll discuss your customer data and show you exactly what The Strata Method would surface.