Funnel diagnostics, paid efficiency, lifecycle programs, conversion optimization, and attribution models that defend the number to your board. Not pixel dust. Not vanity dashboards. The funnel as a forecastable system.
Most teams optimize channels they can't tie to revenue. Forecast accuracy comes from the funnel architecture, not the channel mix. Every stage has a measured leak; every channel has a defensible CAC; every model can be stress-tested by the CFO.
funnel diagnostics, paid where it pays, lifecycle & retention, conversion optimization, attribution & forecasting. None of these work alone, and none of them scale without an architect. We work all five at once.
Baseline measurement, leak analysis, opportunity sizing. Where the work starts.
We instrument every stage of your funnel before recommending a tactic. Where conversions drop, where CAC inflates, where lifecycle leaks, where attribution overstates. The output is a sized list of leaks ranked by expected lift, not a generic 'optimize the landing page' memo.
Channel-mix optimization, CAC discipline, spend efficiency by cohort.
We run paid only where the unit economics work. Search, social, programmatic, partnerships, all on the table. So is killing channels that don't pay back. CAC measured by cohort, not by attribution-window guesswork. Every dollar tracked to a forecast input, not a vanity dashboard.
Email, in-app, expansion programs. The underrated channel.
Most teams overspend on acquisition because retention is broken. We instrument the lifecycle (onboarding, activation, expansion, win-back) and ship the programs that compound. Email, in-app, push, partner-comms, all wired to the funnel diagnostic so you know which stage each program lifts.
Landing pages, A/B testing, ad creative. Build the funnel, don't hope for it.
Conversion is engineering, not magic. We design experiments, build variants (landing pages, ads, lifecycle creative), run the tests, and ship what wins. Every test is sized for statistical power before it runs. Every winner is documented and paired with the funnel stage it moved.
Multi-touch models, board-defensible dashboards. The differentiator.
Most agencies can't tell the CFO why the number moved. We can. Multi-touch attribution wired to your CRM and warehouse, blended-CAC models that survive cohort comparison, forecasts the board can stress-test against scenarios. The funnel becomes a system you can plan against, not a dashboard you have to defend.
Diagnose the funnel before recommending a tactic. Architect a system before shipping channel work. Ship and measure at the test level. Compound by reallocating against what worked.
Full funnel instrumentation. Baseline measurement at every stage. CAC by channel by cohort. Lifecycle leak analysis. Attribution audit. The output is a sized work order, not a generic recommendation.
Channel-mix plan. Lifecycle program design. CRO experiment roadmap. Attribution model spec. The work order becomes a system you sign off on before we ship.
Programs go live. Tests run on a sized cadence. Lifecycle creative ships weekly. Paid budgets reallocate against the model. Performance tracked at the test level so we know which experiments compound and which don't.
Quarterly forecast review against actuals. Reallocation toward what compounded. Retire what didn't. The forecast model gets sharper each cycle.
Rebuilt channel mix from 70% Meta to balanced search / social / podcast. Blended CAC dropped, payback period halved. Forecast model now used for board reporting.
Read brief →Lifecycle nurture rebuilt from a 3-email drip into a 12-touch behavioral program. Landing-page funnel A/B tested into a 1.6× converter. Sales team got fewer leads but better ones.
Read brief →Retention engineering on the activation funnel. First-week engagement program lifted the 12-month LTV cohort. Acquisition budget reallocated to channels that actually compound LTV, not just spike GMV.
Read brief →Most engagements start as a diagnostic. The retainer is where the work compounds.
'Growth' usually means scrappy experimentation; 'digital marketing' usually means channel ops. We do both. The work is engineered: instrumented, forecastable, defensible. The label matters less than whether the funnel actually moves.
First measurable lift typically lands in 30 days, off the funnel diagnostic alone (most teams find their biggest leak in the first audit). The full system takes 90 days to mature. The forecast model gets sharper every quarter.
Almost always augmenting. The best engagements have a head of marketing or growth in place; we're the senior architect they don't have headcount for. We've also stood up greenfield programs but always work toward a hire.
Series B through D, $5M+ ARR, with an established customer base. Earlier and the data isn't there to forecast against. Later and the politics outweigh the engineering. We've made exceptions; ask.
No. We work in your stack. Minimum is a CRM, an analytics platform, and a warehouse (or something we can stand up in 30 days). Beyond that we're stack-agnostic and we don't push migrations unless the math is undeniable.