Mid-Market Use Case | AscendBase Revenue Engineering
Use Case / Mid-Market

From Scattered Pipeline to Structured Growth Engine

How a €7.5M ARR IT services company with 4 sales reps restructured its revenue operations, recovered €1.2M in annual revenue, and reduced the sales cycle by 42%.

Revenue Before
€7.5M
Annual Recurring Revenue
Revenue After
€8.7M
+€1.2M increase
Sales Cycle
92 → 53 days
42% reduction
Win Rate
21% → 34%
Team average
This is a hypothetical use case for illustrative purposes only. Actual results vary based on business context, market conditions, and engagement scope.

The Situation

Company Profile

Business: IT services and managed infrastructure

Stage: 4 years in business, €7.5M ARR

Team: CEO/founder, 4 sales reps, 1 marketing coordinator

Growth: 8% year-over-year (market average: 22%)

Current State

  • CRM existed but was inconsistently used. Pipeline data unreliable.
  • Marketing generated leads but sales called them "garbage." No feedback loop.
  • Each rep sold differently. No shared methodology or qualification criteria.
  • Revenue forecasting was guesswork. CEO had no visibility into pipeline health.

The Problems

Acquisition

  • Marketing optimising for lead volume (CPL) not lead quality
  • MQL-to-SQL conversion rate: 12% (leads that sales actually accepted)
  • No lead scoring. Content downloaders treated same as demo requests.
  • Attribution completely broken: no one knew which channels produced revenue
  • Marketing and sales operated in silos with mutual distrust

Conversion

  • Pipeline inflated: 45% of deals were "zombies" (no activity in 30+ days)
  • No stage exit criteria. Reps moved deals forward based on feeling
  • Average sales cycle: 92 days (benchmark for their segment: 45-60 days)
  • Main bottleneck: Proposal-to-Close gap averaging 34 days
  • Win rate varied wildly by rep (from 14% to 31%) with no coaching system
  • No deal inspection framework. Pipeline reviews were status update meetings.

Retention

  • Churn rate: 18% annual (benchmark: 8-12%)
  • Client onboarding: ad hoc. No structured kickoff, no milestones
  • Sales-to-CS handoff: nonexistent. CS inherited deals with unknown expectations
  • No health scoring. At-risk clients identified only when they cancelled.
  • NRR: 88% (the existing client base was eroding)

Operations

  • CRM completeness score: 38% (deals missing close dates, values, sources)
  • No revenue dashboards. CEO relied on rep-by-rep verbal updates
  • Compensation plan rewarded activity (meetings booked) not outcomes (revenue)
  • No documented sales process. Each rep had their own approach.

Revenue Waterfall Analysis

We mapped the full revenue funnel to identify where value was leaking. Here's what we found:

Monthly leads 1,167
MQL rate 35% (408 MQLs)
MQL-to-SQL conversion 12% (50 SQLs/month)
SQL-to-Close rate 21%
Monthly closes 10.4
Average contract value €75,000
Pipeline velocity €88/day

Primary Leaks Identified

Conversion velocity (slow close) €583K/year
Acquisition quality (MQL-to-SQL) €450K/year
Retention (churn erosion) €258K/year

Total addressable revenue recovery: €1.2M annually.

Our Approach

We implemented a 28-week structured program across three phases, starting with data foundations, moving to process discipline, and ending with intelligence and optimisation.

Phase 1: Weeks 1-8

Foundation & Visibility

  • CRM rebuilt: 6-stage milestone-based pipeline with mandatory fields
  • Data backfill: existing deals audited against new criteria. 38% reclassified.
  • Lead scoring v1 implemented (ICP match + intent signals)
  • SQL definition agreed in writing between marketing and sales
  • Weekly lead quality review launched (marketing + sales, 30 min)
  • Speed-to-lead: automated routing with 5-minute SLA
  • Pipeline review redesigned with deal inspection framework (7 questions)
  • Revenue dashboard v1 for CEO (10 core metrics, daily refresh)
Phase 2: Weeks 9-18

Process & Discipline

  • SPICED qualification framework trained across all 4 reps
  • Stage exit criteria enforced. CRM updated to prevent advancing without criteria met.
  • Proposal protocol: no proposal sent without scheduled walkthrough call
  • Stale deal automation: 14-day no-activity flag with manager notification
  • Onboarding playbook created (kickoff template, Day 7/14/30/60 milestones)
  • Sales-to-CS handoff document implemented in CRM
  • Comp plan redesigned: shifted from activity-based to outcome-based
  • Call review process launched (bi-weekly per rep)
Phase 3: Weeks 19-28

Intelligence & Optimisation

  • Attribution system live (first-touch + last-touch, revenue by source report)
  • Health scoring implemented for all active clients
  • Expansion trigger monitoring started (usage growth, NPS 9+, new problems)
  • Objection bank built collaboratively with rep team
  • Forecasting model implemented (pipeline-weighted + commit + best/worst case)
  • Marketing channel mix optimised based on attribution data (cut 2 low-performing channels)
  • Rep-level performance dashboards live

Results After 9 Months

Annual Recurring Revenue
€7.5M
€8.7M
+16% (+€1.2M)
Win Rate
21%
34%
+13 percentage points
Sales Cycle
92 days
53 days
-42% reduction
Pipeline Velocity
€88/day
€242/day
+175% acceleration
Annual Churn
18%
9%
-50% reduction
Net Revenue Retention
88%
107%
Expansion mode
MQL-to-SQL Conversion
12%
28%
+16 percentage points
CRM Completeness
38%
91%
Data integrity restored
Forecast Accuracy
Unmeasured
87%
2-week window
Pipeline Zombies
45%
8%
Active pipeline
Quota Attainment
2 of 4
3 of 4
+50% improvement

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