Three real client transformations. Real industries. Real timelines. Real numbers — straight from production CRMs and pipeline reports.
Pipeline coverage had dropped to 1.4× of quota. Outbound was a manual SDR with 90-day quote cycles. Two newer competitors were winning RFPs the team didn't even know existed.
Intent-based account discovery across 6sense + Bombora, paired with a competitor hijacking system targeting the two biggest threats' unhappy customers via review-site sentiment monitoring.
$1.2M qualified pipeline added in 90 days. 47 first meetings booked from cold. 3 closed deals worth $310K in the same window — 100% ROI before Day 90.
The client had been a steady performer in industrial automation since the early 2000s. Their products — programmable logic controllers and motion-control systems — were widely respected. But pipeline had been flat for 6 quarters.
The VP Sales had a 4-person SDR team running a Salesforce-based outbound motion: cold lists from ZoomInfo, hand-written email sequences, manual LinkedIn touches. Reply rates had cratered to 1.8%. Average deal velocity stretched to 112 days from first touch to close.
The board was getting nervous. Two newer competitors — Series B startups with VC-fueled marketing budgets — were winning more RFPs every quarter. The CRO suspected they were losing on visibility, not capability. He was right.
"We were doing the same outbound playbook we'd run for ten years. Our reps were great. The product was great. But it felt like nobody was returning calls anymore. We didn't know what had changed."
— VP Sales, Industrial Automation Client
Our 7-day Sprint audit found three structural revenue leaks costing the company an estimated $4.6M in annual pipeline opportunity:
| Metric | Before | After 90 Days | Change |
|---|---|---|---|
| Qualified pipeline added | $180K/qtr | $1.2M/qtr | +567% |
| First meetings booked | 12/qtr | 47/qtr | +292% |
| Outbound reply rate | 1.8% | 8.4% | +367% |
| Lead response time | 34 hours | 90 seconds | −99.9% |
| Closed-won deals (90 days) | ~1 | 3 at $310K | +200% |
| Cost per qualified meeting | $2,400 | $510 | −79% |
"We hit ROI by Day 41. By Day 90, we'd more than paid back the entire 12-month engagement. My board went from asking 'what are we doing about pipeline?' to asking 'how do we replicate this in EMEA?'"
— Chief Revenue Officer, Industrial Automation Client
Run a free Revenue Audit. See where your leaks are. Decide if it's worth a conversation.
🔍 Run Free Audit (60 seconds) →90-day sales cycle was burning runway. SDR team of 6 reps was costing $720K/yr but producing only 22 closed deals annually. CAC payback had stretched to 23 months.
Replaced the manual SDR motion with AI orchestration: intent-triggered outreach, GPT-4 personalization at scale, and automated competitor defection campaigns running 24/7.
Sales cycle dropped to 32 days (64% reduction). 6 SDRs reassigned to higher-value AE work. ACV grew 28% from better account fit. CAC payback fell to 7 months.
The CEO had raised $24M Series B 18 months earlier. The plan: scale the SDR team from 2 to 6, double pipeline, hit $25M ARR in 24 months. By month 18, they'd hired the SDRs but pipeline growth had flatlined at 12%.
The math was brutal. 6 SDRs × $120K loaded cost = $720K/yr. They were generating 22 closed deals × $42K ACV = $924K in new ARR. After CAC, payback period stretched past 23 months. The board was modeling a down round if velocity didn't change.
The diagnosis was uncomfortable: the SDRs were the bottleneck, not the solution. Each rep could realistically only personalize ~30 high-quality outreaches per day. With a 1.4% reply rate and a 90-day cycle, the math didn't work no matter how many more SDRs they hired.
"I was about to fire 4 of my 6 SDRs and tell my board I'd been wrong about outbound. Lilian's team showed me the SDRs weren't the problem — the manual motion was. We kept all 6 reps. They just stopped doing SDR work."
— CEO & Co-founder, Healthcare Operations SaaS
The strategic insight was simple but counterintuitive: a $120K SDR running manual prospecting is the most expensive way to generate a meeting that exists. AI orchestration could do their prospecting work at 12× the volume and 0.4× the cost — freeing the humans to do what they were actually good at: handling discovery calls, demos, and closing.
The plan we deployed:
| Metric | Before | After 6 Months | Change |
|---|---|---|---|
| Average sales cycle | 90 days | 32 days | −64% |
| Daily outbound touches | ~120 | 380+ | +217% |
| Reply rate | 1.4% | 9.1% | +550% |
| First-call demo conversion | 18% | 41% | +128% |
| Average ACV | $42K | $54K | +28% |
| CAC payback period | 23 months | 7 months | −70% |
| Annual closed-won deals | 22 | 68 (run rate) | +209% |
"The 32-day cycle wasn't even our biggest win. The biggest win was that I stopped panicking about pipeline every Monday morning. The system runs whether I'm thinking about it or not. That's worth more than the ARR growth."
— CEO & Co-founder, Healthcare Operations SaaS
15-minute audit call with our team. No pitch. Just an honest read on your pipeline math.
📅 Book 15-Min Strategy Call →22% RFP win rate meant losing 4 of every 5 proposals — burning 60+ partner hours per loss. Most losses came down to "we hadn't heard of you" or "another firm got there first."
Intent interception system: detect when target accounts started researching consulting solutions, fire personalized outreach within 4 hours, build relationships months before the RFP went out.
Win rate jumped to 61% in 4 months. Most wins came from accounts already pre-warmed by the time RFP arrived. Average engagement size grew 22% from better-qualified prospects.
The firm — partner-led, 28 people, focused on operational transformation for mid-market industrial firms — had a stellar reputation among existing clients. NPS of 78. 90% repeat-engagement rate. Partners who had previously been at McKinsey, Bain, and Roland Berger.
And yet: 78% of new RFPs they responded to went to a competitor. Worse, they'd lost three engagements in a row to firms that were objectively less experienced — but who'd been "in the conversation" earlier.
The pattern in lost RFPs was always the same. The buyer would say something like: "You're a strong second choice. We just had a longer relationship with [Firm X]. We'd known them for 6 months before we sent the RFP."
"We were always 'first runner-up.' By the time we got the RFP, the buyer had already mentally chosen a firm. We needed to be in the conversation 6 months earlier — but we had no system for finding those buyers before they became RFPs."
— Managing Partner, Strategy Consulting Firm
The strategic shift was reframing the entire sales motion: stop competing for RFPs. Start influencing the RFP-writing phase.
This required intercepting buyers before they ever decided to issue a tender — when they were still defining the problem, scoping the budget, and forming opinions about who to invite. Buyers leave fingerprints during this phase: they Google "operational transformation," they read industry reports, they ask LinkedIn for vendor recommendations, they attend specific webinars.
Our system caught those signals and fired personalized partner-level outreach within 4 hours. By the time the RFP eventually went out, the firm wasn't a "respondent" — they were one of the trusted advisors who'd been in conversation for months.
| Metric | Before | After 4 Months | Change |
|---|---|---|---|
| RFP win rate | 22% | 61% | +177% |
| Pre-RFP relationship coverage | ~10% of RFPs | 68% of RFPs | +580% |
| Average engagement size | $180K | $220K | +22% |
| Outreach reply rate (video) | N/A | 31% | New channel |
| Partner hours per win | ~270 hrs | ~110 hrs | −59% |
| RFPs participated in | 14/qtr | 18/qtr | +29% |
"The numbers are great, but the cultural shift is bigger. Our partners stopped dreading proposal weekends. We started picking which RFPs to compete for instead of begging to be invited. That's the win behind the win."
— Managing Partner, Strategy Consulting Firm
Every case above started with the same step: a 60-second free Revenue Audit that surfaced exactly where pipeline was leaking. Yours can too.