Shopify shows revenue. Klaviyo shows email performance. Meta shows ROAS. But nobody can tell you which customers are actually profitable, which channels drive LTV, or where your growth is sustainable versus subsidized by discounts. Revenue operations connects the dots.
The Problem
Siloed data creates dangerous blind spots
DTC brands operate across a dozen platforms — Shopify, Klaviyo, Meta, Google, Attentive, Gorgias, a 3PL, and a returns platform — each with its own dashboard and its own version of the truth. Your Shopify revenue doesn't match your accounting revenue because of returns, chargebacks, and gift cards. Your Meta ROAS doesn't account for multi-touch attribution. Your Klaviyo revenue attribution double-counts with your ad platform attribution. Without a unified data layer, you're making growth decisions based on fragmented, contradictory information.
Contribution margin is a mystery for most DTC brands
Ask a DTC founder their contribution margin by channel and most can't answer with confidence. COGS is approximate because landed costs fluctuate. Shipping costs vary by order size and destination. Return rates differ by product and acquisition source. Promotional discounting compresses margins unpredictably. Without accurate, real-time contribution margin data, you can't tell which growth is profitable and which growth is actually losing money at scale.
Growth decisions are made on lagging, incomplete metrics
Most DTC brands make spending decisions based on last month's ROAS and last week's revenue. But these metrics don't tell you whether you're acquiring customers who will come back, whether your promotional strategy is eroding margins, or whether your fastest-growing channel is also your least profitable. Revenue operations provides the forward-looking, connected metrics that turn reactive decision-making into strategic growth management.
How We Help
We start with a data infrastructure audit that maps every data source, identifies connection gaps, and documents where conflicting metrics create confusion. Our assessment traces the customer journey from first ad impression through purchase, return, and repeat buy — across every platform — to build a complete picture of how data flows (or doesn't) through your operation. We identify the specific blind spots that lead to bad growth decisions.
Strategy development designs a unified revenue operations framework. This means building a single source of truth for customer-level profitability, creating contribution margin models that account for all variable costs by channel and product, developing LTV projections by acquisition source, and establishing the reporting cadence and dashboards that make these metrics actionable for daily decision-making.
Execution builds the data infrastructure and reporting systems. We connect your platforms — Shopify, ad platforms, email/SMS, CRM, returns, and fulfillment — into a unified analytics layer. We build dashboards that show contribution margin by channel, customer LTV by acquisition source, and blended profitability metrics that account for the full cost structure. This isn't a one-time data project — it's an operating system that your team uses daily.
Measurement in RevOps is meta — we're building the measurement system itself. Success means your team can answer questions that were previously unanswerable: What's our true contribution margin by channel? Which acquisition cohorts are actually profitable at 12 months? Where should we shift budget to maximize margin dollars, not just revenue? When your team starts making growth decisions based on connected data instead of platform-specific dashboards, the RevOps investment has paid off.
What we deliver
- Data infrastructure audit — platform mapping, connection gaps, and metric reconciliation
- Revenue operations framework — unified data model, contribution margin methodology, LTV projections
- Analytics implementation — connected dashboards, automated reporting, and decision support tools
- Operating cadence — weekly/monthly reporting rhythms with decision frameworks
Most DTC brands think they have a growth problem. They actually have a visibility problem. When you can see true contribution margin by channel and LTV by cohort, the right growth decisions become obvious.
Our Methodology
Our 90-day RevOps sprint starts with data archaeology. Phase one maps every data source, documents how metrics are calculated across platforms, and identifies where numbers conflict. We reconcile revenue, cost, and attribution data to establish baseline truth. This diagnostic phase often reveals that brands' actual unit economics look different than what their dashboards show.
Phase two designs and builds the unified analytics layer. We create the data connections, build contribution margin models, develop LTV analytics by acquisition source, and construct the dashboards your team will use daily. Every metric is defined with clear methodology so your team knows exactly what they're looking at.
Phase three establishes the operating cadence. We implement weekly performance reviews with the right metrics, monthly strategic reviews with trend analysis, and the decision frameworks that connect data to action. By day 90, your team operates with connected, accurate revenue data and makes growth decisions based on profitability — not vanity metrics.
How We Work
RevOps engagements typically run 3-6 months. The first 90 days focus on data audit, framework design, and analytics implementation. Subsequent months optimize reporting, expand data connections, and embed the operating cadence into your team's workflow. We work closely with your marketing, finance, and operations teams since RevOps sits at the intersection of all three.
Our team combines analytics expertise with DTC operational understanding. You provide platform access, cost data, and business context. We handle data architecture, analytics development, and dashboard design. Technical implementation may involve your engineering team or a data partner for custom integrations.
Weekly check-ins during the build phase ensure the analytics framework matches your decision-making needs. Monthly reviews after launch assess data quality and reporting usage. Most DTC brands start making materially different (and better) growth decisions within 60 days of getting connected revenue data.
- Data clarity — unified view of revenue, cost, and profitability across all channels
- Decision quality — growth decisions based on connected data instead of siloed dashboards
- Margin visibility — real-time contribution margin tracking that prevents unprofitable scaling
If your dtc / ecomm company needs revenue operations leadership, we should talk.
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Frequently asked questions
How much does revenue operations cost for DTC brands?
RevOps engagements typically range from $10K-$30K monthly covering data audit, framework design, analytics implementation, and ongoing optimization. Additional costs may include data tooling (warehouse, BI platform) if you don't already have them. The ROI appears quickly — brands consistently find they're over-investing in unprofitable channels and under-investing in profitable ones once they see connected data.
How long before RevOps produces actionable insights?
Initial data reconciliation and baseline metrics are typically ready within 30-45 days. Full analytics dashboards with contribution margin and LTV data take 60-90 days to build and validate. The first actionable insight usually comes during the data audit itself — discovering that a 'profitable' channel isn't actually profitable when all costs are included.
How does RevOps work integrate with our existing analytics tools?
We build on top of your existing tools wherever possible. If you have a data warehouse, we use it. If you use Google Analytics or Triple Whale, we integrate their data alongside direct platform connections. The goal is creating a unified layer that connects existing tools rather than replacing them. We recommend new tools only when genuine capability gaps exist.
What makes Winston Francois different from a data analytics agency?
Data analytics agencies build dashboards. We build decision-making systems. The difference is connecting data to the specific growth decisions DTC brands face daily — where to allocate budget, which products to promote, when to discount, which channels to scale. Our DTC expertise means we know which metrics matter and how to structure reporting around real business decisions.
How do you measure ROI from RevOps investment?
We track the financial impact of decisions made with connected data versus decisions that would have been made without it. This includes budget reallocation savings, margin improvements from cutting unprofitable programs, and revenue gains from scaling programs that the data revealed as high-LTV channels. Most brands identify at least 10-15% of marketing spend that's being wasted once RevOps visibility is in place.
What type of DTC brand needs revenue operations?
Any DTC brand over $3M in annual revenue with marketing spend across multiple channels. If your team regularly debates what the 'real' numbers are, or if finance and marketing use different revenue figures, you have a RevOps problem. Brands scaling aggressively are especially at risk because bad data leads to bad decisions that compound at speed.
