Revenue Engineering

Conversion Infrastructure

Systematic conversion engineering for companies that measure growth in pipeline, not page views.

We design and engineer the complete acquisition stack: qualification logic, CRM integration, behavioral targeting, and A/B testing frameworks — built as a durable growth system, not a series of one-off optimizations.

4.2×
Avg. Conversion Lift

vs. pre-engagement baseline across clients

34%
Avg. Qualified Lead Rate

up from typical 8–12% industry baseline

4 min
Sales Response Time

from 18h average via automated routing

6 wks
Time to Impact

from engagement start to measurable pipeline change

01 — Business Problems

Who this is for

High traffic, low pipeline

Traffic without conversion architecture is a cost, not an asset. Most sites treat every visitor identically regardless of intent or qualification.

No lead qualification

Without scoring and routing, sales teams waste 60–80% of their time on leads that will never close. Qualified leads get the same response time as spam.

CRM disconnected from website

When your website and CRM don't talk, attribution is impossible, follow-up is delayed, and pipeline forecasting is guesswork.

No systematic testing

Most conversion optimization is gut-feel changes rather than structured experimentation. Without a testing framework, improvements don't compound.

02 — System Approach

How we approach it

Conversion infrastructure is built in layers: behavioral data collection → intent classification → qualification routing → CRM automation → testing framework. Each layer compounds the one before it.

Behavioral Data Layer

Segment-based event tracking capturing scroll depth, content consumption, CTA interactions, and return visit patterns.

AI Qualification Engine

OpenAI-powered lead scoring combining behavioral signals, firmographic data, and stated intent. Scores trigger routing rules automatically.

CRM Automation

HubSpot or Salesforce integration with automated deal creation, stage assignment, and internal notifications on qualification.

A/B Testing Framework

Structured multivariate experimentation with statistical significance gating. Every test runs against a defined conversion metric.

03 — Technical Capabilities

What's included

Lead Scoring Engine

AI-assisted scoring combining behavioral and firmographic signals with configurable routing thresholds.

OpenAIHubSpotSegment

Progressive Form Architecture

Multi-step form state machines with conditional logic, intent-based disclosure, and abandonment recovery.

ReactZodNext.js

CRM Pipeline Automation

Automated deal creation, stage transitions, and sales assignment via webhook-driven CRM integration.

HubSpot APIn8nWebhooks

Attribution Modeling

First-party multi-touch attribution across acquisition channels with Segment-based data pipelines.

SegmentPostgresAnalytics

04 — Process

How an engagement works

01

Conversion Audit

Quantify current conversion rate, qualification rate, and pipeline attribution. Define the baseline we're improving against.

02

System Design

Design qualification logic, routing rules, CRM workflow, and testing architecture. Scoped against your specific sales cycle.

03

Integration Build

Implement scoring engine, CRM automation, and form architecture. All changes are instrumented for measurement before going live.

04

Test & Compound

Launch testing framework with initial hypothesis backlog. Conversion improvements compound as each winning variant becomes the new baseline.

05 — FAQ

Common questions

Do you need to rebuild our entire website?

Not necessarily. Conversion infrastructure can often be added to an existing site if the technical foundation allows. We audit first, then recommend the minimum viable intervention.

Which CRM platforms do you support?

HubSpot, Salesforce, and Pipedrive are our primary integration targets. We've also built custom integrations for less common CRMs — the architecture is the same regardless of platform.

How long before we see results?

Most clients see measurable conversion rate movement within 2–3 weeks of go-live. Significant pipeline impact typically appears in the first full sales cycle post-launch, usually 4–8 weeks.

What's included in the A/B testing framework?

Experiment setup, variant implementation, statistical significance monitoring, and documented outcome reporting. We don't run tests without defined success criteria and minimum sample sizes.

Can you work with our existing marketing team?

Yes. We build the technical conversion infrastructure; your team drives content strategy and campaign execution. We collaborate closely during integration and provide documentation for ongoing test management.

Start Here

Ready to discuss conversion infrastructure?

Book a 30-minute strategy call. We'll review your current setup and outline exactly what we'd build.