Series B SaaS: Rebuilding the Lead Router Behind a $6.8M Pipeline Lift
Client identity protected under NDA. Details available under mutual sign-off in a discovery call.
Composite Company Profile
A Series B, PLG-adjacent B2B SaaS platform in the operations tooling category. Roughly 140 employees, $18M in ARR at engagement, ACV of $22,000 blended across self-serve and sales-assisted deals, and a 9-person marketing team split between demand, content, and product marketing. Inbound was the majority pipeline source (roughly 62 percent) with the rest coming from partner co-sell and outbound. The company had raised a $34M Series B twelve months earlier and was carrying a board-approved plan to hit $32M ARR inside the following four quarters.
The Problem
Inbound was strong on the top of the funnel. Demo requests were tracking above target, gated-asset conversions were healthy, and paid social was working. But sales leadership was telling the CMO that “the leads are dead.” Reps were spending time on demos that stalled after call one, close rates on inbound MQLs had dropped from 24 percent to 11 percent over three quarters, and the AE bench was quietly disengaging from inbound queue work in favor of self-sourced deals.
The marketing team assumed a lead quality problem. They tightened MQL scoring, added qualifying questions to demo forms, and killed two paid channels they suspected of driving noise. Pipeline dropped. Then close rates dropped again. Two prior consultants had recommended a full rip-and-replace of the marketing automation platform, which the CFO refused to fund without a diagnostic that pointed to root cause.
What Our Team Diagnosed
Our team ran a two-week audit across form submissions, MAP workflow logic, CRM object mapping, SLA telemetry, and rep-level conversion data. The root cause was not lead quality. It was routing latency and territory misassignment inside the lead router.
Three specific findings drove the diagnosis. First, median time from form submit to rep first-touch was 47 hours. On demo requests where the visitor had already viewed pricing twice, first-touch was 71 hours. Second, the routing rules layered on top of a legacy territory model that had not been rebuilt since a sales reorg nine months earlier, which meant 34 percent of enterprise-fit leads were dropping into an SMB queue and getting handled by reps who could not close them. Third, the MAP was writing lead-source data to a custom field the CRM reports did not read, which is why the CMO’s dashboards showed “healthy” attribution while the sales VP’s dashboards showed the opposite.
The leads were not dead. They were being routed to the wrong people, three days late, and reported against the wrong field.
Strategy MV3 Shipped
Vance oversaw the engagement. Our RevOps and analytics team executed. We scoped a focused six-week rebuild rather than the platform replacement the prior consultants proposed, because platform swaps at Series B stage typically cost more revenue than they recover in the first year.
The strategy had four pillars:
- Rebuild the routing logic around the current sales org, with enterprise, mid-market, and SMB queues mapped to updated ICP fit scoring.
- Cut first-touch SLA from 47 hours to under 5 minutes on high-intent inbound.
- Reconcile the lead-source data model between MAP and CRM so both teams reported off the same numbers.
- Instrument a router audit dashboard that surfaced routing errors in real time to a shared Slack channel.
Implementation
Weeks one and two: discovery and data model reconciliation. Our analytics team built a lineage map across the MAP, CRM, product analytics, and paid ad platforms, then wrote a governance doc that named a single source of truth for each attribution field. The CMO and VP Sales co-signed it.
Weeks three and four: router rebuild. We rewrote the assignment logic in the MAP, added a real-time enrichment call for firmographic data before routing decisions, and rebuilt the enterprise queue with a round-robin logic weighted by AE capacity. Every rule change was version-controlled in a change log we handed to the client’s ops lead so this would not become another opaque black box after handoff.
Weeks five and six: SLA compression and audit instrumentation. We implemented instant-alert routing for demo requests where the contact had crossed a specific product-usage or pricing-page threshold. Those went to a hot queue with a 5-minute first-touch SLA, tracked by a Slack alerting workflow that pinged the assigned AE and their manager if the touch did not happen in time. We built a router audit dashboard that flagged misrouted leads within an hour of submission and posted them to a shared #revops-alerts channel.
Tools engaged: the client’s existing MAP and CRM, Clearbit for firmographic enrichment, a lightweight n8n workflow for the Slack alerting layer, and a Looker dashboard for the router audit view. No platform replacement.
Outcomes
Measured at the 90-day post-rebuild mark, against the trailing 90 days before engagement:
- $6.8M in additional qualified pipeline generated from the same inbound lead volume, driven by better routing and faster first-touch.
- Inbound MQL to closed-won rate recovered from 11 percent to 21 percent, roughly two-thirds of the way back to the historic 24 percent baseline.
- Median time from form submit to rep first-touch dropped from 47 hours to 4 minutes on the hot queue and 38 minutes across the full inbound flow.
- Enterprise-fit lead misrouting fell from 34 percent to under 3 percent, verified by the audit dashboard.
- Sales reported a measurable shift in rep behavior. Inbound queue engagement returned, and self-sourced share of pipeline came back down to a healthier ratio.
Timeline
Six weeks from kickoff to router go-live. Additional four weeks of tuning and dashboard iteration. Twelve weeks total from first discovery call to the outcome metrics above.
Composite Testimonial
“We spent nine months blaming lead quality. In two weeks the MV3 team showed us the leads were fine. The router was broken and our reporting was hiding it. The rebuild paid for itself inside the first month.”
— Elena, VP Marketing
NDA Framing
Client identity protected under NDA. Composite profile, numeric outcomes, and diagnostic detail available under mutual sign-off in a discovery call. Reference calls with the executive sponsor can be arranged once mutual NDA is in place and after a qualifying conversation.
Is This You?
If inbound volume looks healthy, close rates are drifting down, and reps are quietly walking away from the inbound queue, the diagnostic is almost never lead quality. It is routing, SLA, and attribution reporting drift. That combination is fixable inside a quarter without a platform swap.
Book a discovery call to walk through your router, SLA telemetry, and attribution model with our RevOps team. We will tell you within two weeks whether a focused rebuild will move the number, or whether the problem is somewhere else.
