Stack Sprawl
Too many disconnected tools. Manual handoffs kill speed and signal quality.
Strategy-informed GTM engineering for B2B SaaS teams ($10M–$100M ARR). We diagnose bottlenecks, build GTM infrastructure, and tie execution to pipeline outcomes.
Most teams don’t have a strategy problem. They have an infrastructure problem: fragmented tools, brittle workflows, poor data quality, and no reliable feedback loop from execution back to revenue insight.
Too many disconnected tools. Manual handoffs kill speed and signal quality.
Surface-level plays that break under volume and cannot be diagnosed quickly.
Activity rises but pipeline efficiency stalls because systems aren’t tied to outcomes.
Also see: CRM data quality issues.
We run GTM like an engineering system, not a sequence of disconnected campaigns.
Read full Darwin Method → · How to build GTM infrastructure → · Signal-based outbound guide →
Map systems, identify bottlenecks, and baseline pipeline metrics.
Design workflows and data contracts around your GTM motion.
Ship integrated workflows with QA, monitoring, and maintainability.
Instrument impact, run iteration sprints, and scale proven plays.
Trigger campaigns from buying signals and intent changes, not static lists.
Automate assignment and prioritization with explicit logic and feedback loops.
Improve contact/account quality and prevent decay across systems.
2–3 week engagement: system map, bottleneck analysis, and impact-prioritized roadmap.
Implement the top workflows with instrumentation and technical hardening.
Iterative KPI improvement and long-term infrastructure compounding.
Reduce lead-to-opportunity time by routing the right leads to the right reps faster with automated scoring and enrichment.
Improve MQL-to-SQL conversion by ensuring sales gets complete, accurate data on every handoff.
Shorten sales cycles by automating follow-up sequences and ensuring no lead falls through the cracks.
We combine strategic GTM context with hands-on engineering. While RevOps consultancies often focus on process and governance, we design and ship production-ready systems, then instrument them against revenue KPIs. We're a GTM engineering agency that builds infrastructure, not just recommends changes.
In-house teams often lack specialized depth across the full GTM stack—CRM architecture, enrichment pipelines, warehousing, and automation orchestration. Darwin brings pattern recognition from dozens of builds, accelerates time-to-value, and leaves your team with maintainable systems they can operate long-term.
No. We're tool-agnostic GTM engineers. While we have deep Clay expertise, we also work across HubSpot, Salesforce, Segment, Snowflake, Make, n8n, and custom integrations. We recommend the right tool for your stack, not the one we're incentivized to sell.
A 2–3 week Infrastructure Audit: stack map, bottleneck analysis, impact-prioritized roadmap, and a plan for the first build sprint.
Most impact comes for B2B SaaS teams around $10M–$100M ARR with meaningful GTM volume and multi-tool complexity.
A technical + strategic roadmap that ties infrastructure decisions to revenue outcomes. For B2B SaaS teams ready to unblock their GTM motion.