This case study is a composite based on a real engagement. Industry, revenue stage, and the headline result are real. Specifics (company name, exact numbers) are anonymized to protect client confidentiality. Named-client references are available on request under MNDA.
A Neglected Marketo Instance at Series B Scale
Series B B2B SaaS, ~$30M ARR, ~80 employees, ~400k contacts in Marketo. Marketing leadership had turned over twice in 18 months. The Marketo instance was inherited from a predecessor and had received only ad-hoc maintenance for three years. Symptoms:
- Database bloat: ~35% duplicate records, no decay rules, opt-in tracking inconsistent
- Inflated scoring: 60% of contacts scored above MQL threshold; Sales ignored MQLs because too many were unqualified
- Slow campaigns: 4-week campaign turnaround due to tangled folder structure and dependency chains
- Broken Salesforce sync: 1,200 sync errors per day, mostly silent
- No attribution: marketing couldn't prove contribution; Finance was questioning the marketing budget
The Marketo Rebuild: Audit, Database Cleanup, Scoring, and Lifecycle
Weeks 1-2: MOPs Audit
Standard 2-week audit (see MOPs Audit service page). Output: 47 issues identified, 12 prioritized as critical or high, 30/60/90-day roadmap delivered.
Weeks 3-6: Database Cleanup, Scoring Rebuild, and Salesforce Sync Repair
- Database cleanup: deduplication, opt-in normalization, decay rules. Database shrunk from 400k to 285k clean, deliverable contacts. Email engagement rates jumped immediately.
- Salesforce sync remediation: field mapping rebuilt, sync errors dropped from 1,200/day to under 50/day.
- Scoring model rebuild: behavioral + demographic + firmographic scoring with proper decay. MQL threshold recalibrated based on historical SQL conversion data.
Weeks 7-10: Lifecycle and Nurture Redesign
- Lifecycle redesign: stage definitions, conversion criteria, and SLA enforcement built in Revenue Cycle Modeler.
- Nurture overhaul: replaced 14 stale, disconnected nurture programs with 4 focused nurtures segmented by use case, role, funnel stage, and intent signal.
- Routing & SLA: rebuilt round-robin routing with territory rules; integrated SLA alerts into Slack so unrouted leads escalated within 5 minutes.
Weeks 11-12: Attribution Dashboards and Team Handover
- Attribution dashboards: source-of-pipeline reporting rebuilt; first/last/multi-touch attribution available to leadership.
- Team enablement: 8 hours of recorded training, written runbook, weekly office hours for 30 days post-launch.
Results: 90 Days Post-Overhaul
| Metric | Before | After | Change |
|---|---|---|---|
| Monthly MQL volume | ~280 | ~840 | 3.0x |
| MQL-to-SQL conversion rate | 11% | 27% | +16 pts |
| Sales SLA adherence (5-min follow-up) | 22% | 91% | +69 pts |
| Email engagement (open rate) | 14% | 32% | 2.3x |
| Salesforce sync errors / day | ~1,200 | <50 | 96% reduction |
| Database size | 400k | 285k clean | 29% smaller, fully deliverable |
| Marketing-sourced pipeline (90-day) | $2.1M | $5.7M | 2.7x |
What Actually Fixed the Pipeline
Three fixes, all standard MOPs blocking-and-tackling. The client's team had been too busy fighting fires to run them:
- Clean data before clever tactics. Most MOPs problems look like sophisticated marketing problems but are actually data problems. Fixing the database fixed half of the symptoms.
- Recalibrate scoring against actual conversion data. Inflated scores destroy Sales trust. The fix is calibration, not more rules.
- Sales and Marketing Alignment via Routing and SLA. Marketing's pipeline contribution doesn't happen in Marketo; it happens in the handoff.
Running a Neglected Marketo Instance on a Series B Timeline?
Most B2B SaaS Marketo overhauls follow this pattern. Book a 30-minute call and we will map the audit scope to your instance and tell you which fixes apply.
See more case studies on the Case Studies index or read about our MOPs audit service.