We create revenue operations for FemTech companies that separates D2C, B2B2C employer, and payer revenue into models reflecting how each one actually closes, rather than pushing them all into one SaaS funnel.
Three distinct revenue motions are squeezed into a single CRM pipeline
A FemTech company selling D2C subscriptions, employer benefits contracts, and sometimes insurance-reimbursed services is running three fundamentally different sales motions with different cycle lengths and different stakeholders, but most CRMs track them as one pipeline with one set of stages. A deal stuck in 'negotiation' means something completely different for a self-serve subscriber than it does for an HR benefits buyer six months into procurement. Forecasting off a blended pipeline like this produces numbers leadership can't trust.
Insurance and payer billing information sits entirely outside the marketing and sales stack
Reimbursement timelines, claims data, and payer-specific contract terms typically sit in a separate billing or clinical operations system that never talks to the CRM or marketing analytics tools. This means the true cost to acquire and service a payer-covered customer, including the reimbursement lag, is invisible to the team making acquisition spend decisions. Growth teams end up optimizing CAC against a number that ignores a major cost and timing factor on a growing share of revenue.
Freemium-to-paid conversion data remains disconnected from the enterprise deal sales pipeline
Product usage data showing which free or trial users are the most engaged rarely flows into the sales tools the B2B2C team uses to prioritize employer or health system outreach, even when those same engaged users work at target accounts. Sales reps end up cold-prospecting accounts where a warm, engaged user already exists inside the product, wasting outreach effort on accounts where product usage data would have flagged a much easier entry point.
Board reporting combines recognized revenue with committed-but-not-yet-billed contracts
Employer and payer contracts often include committed revenue that hasn't been recognized yet due to implementation timelines or reimbursement lag, and without clean separation in reporting, board decks can overstate current revenue health or understate pipeline strength depending on which number gets pulled. This creates confusion at exactly the moments, fundraising and board meetings, where clean numbers matter most.
We begin with a complete audit of your existing revenue data flow: what sits in the CRM, what resides in billing or clinical operations systems, and where gaps exist between product usage, sales activity, and actual recognized revenue. Most FemTech companies we support have never mapped this from end to end, which explains why forecasting has created friction with the board.
Next, we restructure the CRM pipelines around the genuinely distinct motions: a self-serve D2C funnel whose stages reflect a short subscription decision cycle, a B2B2C employer pipeline aligned with an actual procurement process, and, when relevant, a payer pipeline that treats credentialing and reimbursement timelines separately from a standard sales cycle. This step alone typically resolves much of the forecasting confusion because every motion is finally assessed against realistic benchmarks, not a generic SaaS pipeline template.
We then link product usage data with the B2B2C sales pipeline, allowing engaged free or trial users at target accounts to appear as warm leads for the enterprise team rather than being cold-prospected independently. This is often the highest-leverage improvement because it transforms existing product engagement into a previously unseen sales advantage.
For insurance and payer revenue, we create a reporting bridge connecting the billing or clinical operations system with the revenue dashboard. Acquisition cost calculations can then account for reimbursement timing and the true cost to serve instead of treating payer-covered customers like D2C subscribers. The growth team gets an honest CAC figure for making spending decisions.
Lastly, we redesign leadership and board reporting to clearly distinguish recognized revenue from committed-but-unbilled contract value, ensuring board updates and fundraising conversations use numbers that stand up to diligence.
A FemTech company putting D2C, employer, and payer revenue through a single CRM pipeline isn't measuring three businesses poorly; it isn't measuring any of them accurately. The solution isn't an improved dashboard, but three separate pipelines designed around how each motion truly closes.
Our revenue operations engagements follow a 90-day sprint. Days 1-30 cover an audit of the complete revenue data flow and identify gaps across CRM, billing, and product usage data. During days 30-60, we restructure the pipeline into separate D2C, B2B2C, and payer motions while connecting product usage signals with the enterprise sales pipeline. Days 60-90 are dedicated to building the payer revenue reporting bridge and board-level reporting that distinguishes recognized revenue from committed revenue, while training your team to independently maintain the new structure. Unlike a general RevOps consultancy, this entire approach reflects the reality that FemTech companies operate several distinct revenue motions simultaneously, rather than one funnel.
The first month focuses on auditing your CRM, billing platforms, and product analytics, requiring access from the sales, finance, and product teams. From weeks four through eight, we rebuild the pipeline structures and product-to-sales data connection, using weekly reviews to test the new setup against actual deals currently in flight.
Days 60-90 concentrate on the payer reporting bridge and rebuilding board-level reporting, alongside documentation and training that enable your RevOps or sales operations lead to maintain the system without continued reliance on us. Most engagements span 3-6 months, allowing the new pipeline structure to run through at least one complete board reporting cycle and confirming that the forecasting accuracy gains hold.
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Most engagements cost $10,000 to $22,000 monthly, based on the number of distinct revenue motions requiring separate pipeline structures and the fragmentation of the current data systems. A company with one D2C motion and no employer or payer revenue costs less to set up than a company operating all three at once. Audit-phase pricing also varies according to how many disconnected systems, CRM, billing, clinical operations, must be mapped.
The audit and initial data map are generally finished within the first 30 days, giving leadership its first clear view of the gaps. Pipeline restructuring and connecting product data to sales typically begin showing impact within 60 days, especially by surfacing warm leads for enterprise sales. Complete board-level reporting improvements are generally apparent by day 90 and validated during the subsequent reporting cycle.
We collaborate directly with your product, finance, and sales teams because the solution affects all three systems. Weekly check-ins review audit findings and pipeline restructuring progress, while we train your in-house RevOps or sales operations lead to maintain the system moving forward instead of fostering permanent reliance on us. Finance should expect a meaningful time commitment, particularly during the payer reporting bridge phase.
Most RevOps consultancies use a standard SaaS pipeline template no matter how a company really sells, recreating the exact mismatch behind the forecasting issue. We begin with the reality that FemTech businesses frequently operate D2C, B2B2C employer, and payer revenue at the same time, then create distinct pipeline structures for each. We also deliberately link product usage data with enterprise sales, an opportunity most generalist RevOps consultants don't recognize.
We evaluate improvements in forecasting accuracy by comparing pipeline-predicted revenue with actual closed revenue both before and after the engagement. We also monitor how many warm enterprise leads are surfaced through product usage data compared with cold-prospected leads, along with reductions in reporting discrepancies between sales and finance during board meetings. These are tangible, comparable metrics, not broad claims about efficiency.
This service suits companies operating at least two distinct revenue motions at the same time, usually D2C alongside B2B2C employer sales, where a blended pipeline is actively creating forecasting confusion. It's also well suited to businesses nearing a fundraise, when clean and defensible revenue reporting is important for diligence. Earlier-stage businesses with only a D2C motion and no enterprise sales generally don't yet require RevOps investment at this level.
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