mxdify — Growth infrastructure for digital health and SaaS
Vertical · B2B SaaS

Growth infrastructure for funded, growth-stage B2B SaaS.

Post-raise. Board pressure. An efficient-growth mandate that arrived a quarter ago. Whether your motion is sales-led, product-led, or hybrid, you need measurement that reconciles product and marketing signals — and a team that can turn it into experiments the same week.

How the pillars apply

The full growth stack, applied to SaaS.

Activation

Product instrumentation, aha-moment definition, activation experiments.

Trial → paid

Conversion instrumentation, lifecycle nudges, pricing tests.

Expansion

Usage-based signals, expansion motions, and seat-growth playbooks.

Churn

Early-warning signals, save flows, and cohort-level retention analysis.

Pipeline

Lead scoring, routing, and hand-off between marketing and sales.

Forecasting

Bookings and ARR models the board actually believes.

Proof

Trial-to-paid 6% to 8% for a growth-stage SaaS.

Cohort analysis, plan recommendations, and pricing experiments over 9 months. 33% relative lift, p=0.01. Client name withheld under NDA.

Fit check

Best fit: Series A through Series C SaaS with $1M to $30M ARR, a real product, and an efficient-growth mandate.

Frequently asked

SaaS growth FAQ.

What is the difference between revenue engineering and GTM engineering?

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Revenue engineering is the discipline of designing the systems that move revenue end-to-end, from first touch to renewal. GTM engineering is a subset: the technical practice of instrumenting and automating specific go-to-market motions (outbound, PLG activation, lead routing). Every GTM engineer is doing revenue engineering; not every revenue engineer is coding GTM automations.

Fractional Head of Growth vs full-time hire — which fits a Series A/B SaaS?

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A fractional Head of Growth costs $5-25K/month, ramps in 30 days, and gives you a team of engineers, analysts, and designers instead of one person. A full-time senior hire costs $200-280K/year fully loaded, takes 3-6 months to hire, and is one perspective. For Series A/B SaaS still finding the growth model, fractional is materially better ROI. Once the model is proven and the number is above ~$10M ARR, hire in-house.

How do you set up product and marketing attribution together for SaaS?

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Unify product events and marketing events in a single warehouse (BigQuery, Snowflake, or Redshift), model users across anonymous and identified states, and stitch upstream sources to downstream product outcomes (activation, expansion, retention). Do not rely on the CRM or the ad platform as the source of truth — they will disagree by 40-60%.

How do you improve trial-to-paid or activation conversion?

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Start by defining the specific activation event that correlates with paid conversion — usually a compound action that shows up in cohort retention analysis. Then instrument the funnel to that event, run onboarding experiments against it, and iterate weekly. Trial-to-paid gains of 20-40% in a quarter are common once activation is instrumented correctly.

What are healthy CAC payback and unit-economics benchmarks for SaaS?

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Efficient SaaS at Series A-C targets CAC payback under 12 months, gross margin above 70%, and net revenue retention above 110%. PLG-heavy businesses can operate with shorter payback (6-9 months) because self-serve CAC is lower. If payback runs past 18 months and NRR is under 100%, growth is structurally unhealthy regardless of top-line.

Are you PLG or sales-led?

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Both. We instrument and improve whichever motion actually drives your revenue. Most growth-stage SaaS companies run a hybrid and get the mix wrong.

Do you replace our marketing team?

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No. We usually work alongside an in-house team, running the infrastructure and experimentation layer that a lean team cannot build on its own.

Can you help with pricing and packaging?

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Yes. Monetization is part of the revenue engineering pillar. We run price tests, package experiments, and unit-economics analysis.

Scaling efficiently is the whole job.

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