
Parents sign up in days through a mobile-first funnel your ad platforms can track end to end. Institutional buyers – center directors, school districts, employer HR teams – take six to twelve months and close through a multi-stakeholder RFP your ad platform never sees. We build attribution that respects both timelines instead of blending them into one misleading number.
One CAC Number Is Measuring Two Different Businesses
Your paid social CAC for a parent free trial and your sales cycle cost for a school district contract get averaged into a single blended number every week. That average tells the CEO nothing true about either buyer. A cheap month of parent signups can mask a quarter where institutional pipeline went cold, and nobody notices until renewal season.
The RFP Has No Pixel to Fire
A daycare director doesn't click a retargeting ad on the way to signing a facility-wide contract. The deal moves through site visits, procurement calls, licensing questions, and a committee vote that your analytics stack was never built to see. Most childcare and familytech companies end up crediting institutional wins to whatever channel touched the deal last, which is almost always wrong.
Enrollment Happens Per Center, Attribution Doesn't
A national campaign can look successful in aggregate while three specific centers are under-enrolled and two are turning families away. Without location-level attribution tied to actual physical capacity, marketing keeps optimizing for a metric – overall leads – that has nothing to do with where the seats actually are. Multi-location businesses need a map, not a total.
Sales Blames Marketing, Marketing Blames Sales, Nobody Has the Data
When the institutional pipeline stalls, marketing points to a strong lead volume report and sales points to a CRM with half-filled stage data. Both are right and both are looking at incomplete systems. Without a shared source of truth that separates consumer and institutional pipeline, the two teams argue about attribution instead of fixing it.
We start by auditing what you actually have: ad platform tracking, CRM stage definitions, center-level location data, and whatever spreadsheet is currently standing in for an institutional pipeline report. Most childcare and familytech companies have solid consumer-side tracking and almost nothing built for the RFP-driven side of the business. We map every touchpoint in both buyer journeys before changing anything.
From there we design two separate attribution models under one reporting roof: a fast-path model for parent conversions that uses standard digital attribution, and a long-cycle model for institutional deals that weights offline touches – site visits, proposal calls, licensing conversations – the way your sales team actually experiences them. Center-level location tagging gets built into both, so enrollment numbers tie back to physical capacity, not just national totals. This work sequences directly against your broader growth strategy, so the attribution model supports decisions you're already making, not a parallel reporting exercise.
Execution means fixing the CRM stages your sales team actually uses, importing offline institutional touchpoints that never had a UTM, and building consistent location tagging across every campaign and landing page. We connect this to your existing marketing execution so the data reflects what your team is actually running, not an idealized version of it.
The output is a reporting structure with three layers: a consumer funnel dashboard your growth team checks weekly, an institutional pipeline view your sales leadership checks in deal reviews, and a blended executive view for the board that shows both without pretending they're one motion. Our measurement approach keeps these connected without collapsing them back into a single misleading CAC.
Most of our childcare and familytech clients get this system live within a 90-day sprint, then keep refining it as new centers, channels, or institutional segments come online. This attribution layer also feeds directly into demand generation for childcare and familytech work once it's live, since you can finally see which channels are worth scaling. If your board is still looking at one CAC number for two very different sales motions, that's the conversation to book a strategy call about.
A blended CAC that averages a parent's weekend signup with a school district's year-long RFP isn't inaccurate, it's just describing two businesses that happen to share a logo.
We run this as a 90-day sprint because attribution work rots if it drags past a quarter – campaigns change, centers open and close, and a six-month build ships analytics for a business that no longer exists. The first 30 days are assessment and model design. The next 30 are implementation: CRM rebuild, location tagging, offline import pipelines. The final 30 are validation against a full sales cycle sample, so the institutional model is tested against deals that actually closed, not just theory.
Because institutional deals run six to twelve months, we don't wait for a full cycle to call the sprint done – we validate the model against historical closed-won and closed-lost deals instead, then keep tuning it as new data comes in. Consumer-side attribution gets validated faster since those conversion paths are short enough to see results within the sprint itself.
Days 1-30: we audit your current stack and shadow both sales motions – sitting in on institutional deal reviews and pulling consumer funnel data – so the model reflects how your teams actually sell, not how an org chart says they should.
Days 31-60: we rebuild CRM stages, implement location-level tagging, and stand up the offline import pipeline for institutional touchpoints. Your team gets a working dashboard before day 60, not a slide deck.
Days 61-90 and ongoing: we validate the model against real closed deals, train your marketing and sales teams on reading both funnel views, and hand off a reporting cadence – weekly for consumer, biweekly for institutional pipeline reviews. Most engagements continue on a monthly retainer after the sprint so the model gets tuned as centers, channels, and institutional segments change.
If your childcare & familytech company needs marketing analytics leadership, we should talk.

Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Most engagements run $9,000 to $16,000 per month depending on how many center locations and institutional segments you're tracking. The 90-day build sprint is typically priced as a fixed project, with ongoing tuning moving to a monthly retainer. Companies with more physical locations or a heavier institutional sales motion sit at the higher end because there's more offline data to structure.
You'll have a working consumer funnel dashboard within the first 30 days, since that data already exists in your ad platforms and just needs to be modeled correctly. The institutional pipeline view takes closer to 60 days because it depends on rebuilding CRM stages your sales team actually uses. Full validation against real closed deals happens by day 90.
We work alongside your existing team – this isn't an outsourced marketing function, it's an analytics build that your growth and sales leaders use day to day. We train both teams on the dashboards during the sprint so nobody is waiting on us to read a report. Your team owns the system once we hand it off.
Most attribution agencies build one model and assume every conversion looks like a digital funnel. We build two, because a parent's short conversion path and a twelve-month institutional RFP cannot live in the same model without one drowning out the other. We've specifically built the offline import and location-tagging layer that childcare and familytech companies need and generic agencies usually skip.
ROI shows up as fewer wasted dollars on consumer channels that were never actually driving quality enrollments, and fewer institutional deals that die silently in the pipeline because nobody flagged them as stalled. We track this through the same dashboards we build – conversion rate lift on the consumer side and pipeline velocity on the institutional side – reviewed against your baseline from before the engagement.
This is built for Series A through growth-stage childcare and familytech companies doing $5 million to $100 million in ARR that already sell to both parents and institutional buyers – daycare networks, school-adjacent platforms, employer benefit vendors. If you're pre-revenue or purely consumer-facing with no institutional sales motion, a simpler single-funnel analytics setup will serve you better and cost less.
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