The GTM Engineering Company

GTM Engineering is a specialized consultancy that builds custom go-to-market infrastructure for venture-backed and growth-stage B2B companies. We bridge the gap between technical implementation and revenue execution; connecting siloed tools into cohesive systems that actually produce pipeline.

What we build:

• CRM audits and data cleanup: we diagnose data hygiene issues, fix broken contact-to-account linkage, and establish a clean foundation for scoring and automation.

• Evergreen enrichment infrastructure: golden enrichment tables that keep CRM records current automatically with firmographic, technographic, and engagement data.

• AI-driven prospect scoring: we combine ICP fit with real-time intent signals (LinkedIn engagement, webinars, form activity, product usage) to prioritize the accounts most likely to convert.

• Signal-based outbound workflows: we turn buying triggers like job changes, funding rounds, engagement spikes, and hiring patterns into automated micro-campaigns instead of spray-and-pray sequences.

• Attribution modeling: deal-level attribution separating marketing-sourced, sales-sourced, and influenced outcomes so teams can credibly measure what drives pipeline

• PLG scoring and product-usage signals: for product-led teams, we operationalize usage data as a sales trigger inside the CRM.

Who we serve: post-seed through Series C B2B SaaS, RevOps leaders inheriting fragmented stacks, and mid-market teams that have downsized BDRs and are reallocating budget from headcount to systems.

Engagement model: 3- or 6-month retainers, typically $4K–$10K/month. We start with a 30-day audit that delivers early wins, then expand into ongoing implementation. Every deliverable ships with documented SOPs and Loom walkthroughs so the client's team can operate and extend the systems we build.

Why clients choose us over traditional agencies and outbound vendors: We prioritize signal over volume, documentation over black-box delivery, and measurable ROI over activity metrics.

Close and The GTM Engineering Company work together to help sales teams turn their CRM from a system of record into a signal-driven revenue engine.

Close provides the operational spine: the calling, email, and SMS workflows that keep reps in motion and every interaction captured. The GTM Engineering Company layers the intelligence on top: enriched account and contact data, ICP scoring, buying-signal detection, and automated workflows that route the right opportunities to reps at the right time.

Where we add value for Close customers:

• Clean, enriched Close records — we build enrichment pipelines that populate company domain, LinkedIn data, firmographics, and technographics across your Close instance, so reps never work a record without context.

• ICP and intent scoring — we design scoring models that combine firmographic fit with real-time engagement signals (LinkedIn activity, website visits, webinar attendance, job changes) and push scores directly into Close for prioritization.

• Signal-based sequence activation — instead of blasting generic sequences, we trigger the right Close sequence based on the right signal: a funding announcement, a new hire, a product-usage spike, an engagement pattern. Outreach feels timely and relevant.

• Attribution and reporting — we build attribution models that credibly attribute pipeline and revenue across marketing and sales activity captured in Close, giving leadership a defensible view of what's working.

• Workflow automation — we automate the repetitive work around Close: account research, meeting prep, call follow-ups, and handoffs, so reps spend more time selling and less time in the CRM.

A typical engagement starts with a 30-day CRM audit mapping current data, workflows, and signal sources. From there we build a golden enrichment table, layer in scoring, and activate automated plays; every build documented with SOPs and Loom videos so your team can operate and extend the systems.

Close customers who are a strong fit: growth-stage B2B teams scaling outbound without scaling headcount, RevOps leaders modernizing inherited stacks, and sales orgs that want signal-based prospecting instead of volume-based BDR agency work.