Topics
The whole field
A working map of GTM Engineering: every core topic, explained from first principles and kept practical.
Enrichment waterfalls
Chain providers so a miss from one becomes a hit from the next, order by marginal recovery instead of hit rate, and pay mostly on verified data. The build, the queries, the credit math.
Read →Signal-based outbound
Trigger outreach off events that mark an account entering a buying window, rank signals by how tightly they predict a buy, and route each one to the play and the human that fit. The workflow, the reply math, the decay curve.
Read →AI & agentic workflows
The 3% who got revenue from AI SDRs fed their agents proprietary context and fenced what they could say. Here is the guardrail stack, the shadow-mode scoring loop, and the human-in-loop gate that separate the two outcomes.
Read →API & webhook integration
Build pipelines that survive retries and rate limits: idempotency keys, backoff with jitter, and HMAC-verified webhooks that dedupe on delivery.
Read →CRM data modeling
Object model, field standards, and matching rules, plus the data contract that keeps enrichment, routing, and reporting reading the same truth.
Read →Warehouse & reverse-ETL
A guide that stops at "sync your warehouse to Salesforce" is a 2022 guide. The work moved up the stack: model once, resolve identity into a golden record, then activate through the composable-CDP pattern. Here is the build order and the queries.
Read →Scoring & routing
Score fit and intent on separate axes, match the lead to its account, then route on a clock. The model is not the point. The clock is.
Read →Deliverability & sending infrastructure
What gets a cold email into the inbox instead of spam: domain architecture, authentication, warmup, volume pacing, and the reputation numbers that trip filters.
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