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Systems Integration

Re-Architecting Salesforce - Marketo Pipeline

Rapid growth overloaded the Marketo‑Salesforce sync, creating multi‑day backlogs and delayed nurtures. I diagnosed the bottlenecks, partnered with engineering to design dual pipelines that separated CRM updates from bulk marketing traffic, standardized field mappings and established latency monitoring. Sync delays dropped from 24–94 hours to under one hour, inbound SQOs increased 55 % and operating costs were reduced by roughly $50 K.

The Problem

At a high-growth SaaS organization, our Marketo-Salesforce sync wasn't just slow, it was collapsing under its own weight. Backlogs reached nearly four days, lifecycle scoring broke, nurtures fired late, segmentation drifted, and sales teams did not have the information they needed.


I led the effort to untangle this problem by rethinking the architecture itself. I designed and implemented a dual-pipeline model that removed bulk traffic from the sync, expanded coverage across objects, and restored real-time data reliability between platforms.


The impact was immediate: sync times dropped from 24-94 hours to under 1 hour, operational workarounds disappeared, and inbound SQOs rose 55% because sales could act on accurate, timely data. This project is a clear example of how re-engineering system behavior, not just optimizing workflows, can directly improve revenue performance and team alignment.

The integration wasn't "broken." It was doing exactly what it was designed to do, but it was being used for the wrong job.

The problem was architectural, not operational.

The Solution

01

Diagnose the Bottleneck

Analyzed API call volumes, field mapping configurations, and sync behavior patterns to identify where the architecture was failing. Traced data flows across warehouse, Salesforce, Marketo, and downstream systems to pinpoint the root cause of latency and backlog.

02

Partner with Engineering to Build Dual Pipelines

Collaborated with Engineering and GTM Systems teams to architect and implement a dual-pipeline model. Separated CRM operational updates from marketing bulk updates, removing high-volume traffic from the sync and restoring real-time behavior.

03

Standardize Field Mappings and System Logic

Rebuilt field mapping rules and established clear system-of-record definitions. Eliminated circular updates and conflicting logic that caused unpredictable lifecycle behavior across platforms.

04

Guardrails & Monitoring

Introduced latency and volume monitoring with acceptable thresholds. Built early detection before downstream issues appeared, ensuring the architecture remained stable at scale.

The integration moved from being a daily risk factor to a

stable backbone for campaign execution, lifecycle marketing, and sales operations.

BUSINESS IMPACT

>95%

Sync Latency Reduced

55 %

Inbound SQO Increase

$50K

Estimated Operational Cost Savings

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