Veridian: Rebuilding The Sales Engine To $2.1M ARR

service-details-hero-image-overlyVeridian: Rebuilding the sales engine to $2.1M ARR
Primary Focus

Sales Process + Conversion

Services

Sales leadership training

Team Size

58 Employees

Company

Veridian Technologies

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How a Broken Sales Process Was Silently Killing Veridian's Growth

Veridian Technologies had everything a B2B SaaS company needs to win — a differentiated product, a recognizable brand in the mid-market HR tech space, and a sales team of 12 hungry reps. Yet after 18 months of stagnant close rates and a pipeline that looked healthy on paper but consistently underdelivered, their VP of Revenue knew something structural was broken. We were brought in to diagnose, rebuild, and re-energize the entire sales operation from the ground up.

What the Audit Revealed

  • Reps were spending 40% of their time on leads that never had budget authority
  • Discovery calls lacked a structured framework — every rep ran them differently
  • Pipeline stages were subjective, making accurate forecasting impossible
  • No formal onboarding for new reps meant quota attainment dropped after month three

Building the New Sales Architecture

Over a 10-week engagement, we redesigned Veridian's sales motion from top of funnel to closed-won. The goal was not to add more activity — it was to add more precision. Every intervention was mapped to a specific revenue outcome, and every change was tested before being rolled out team-wide.

The Execution Plan

  • Introduced a four-stage discovery framework reducing average call length while doubling qualification accuracy
  • Rebuilt pipeline stages with objective entry and exit criteria tied to buyer behavior
  • Created a 30-60-90 rep onboarding program that reduced ramp time from 5 months to 11 weeks
  • Launched a weekly deal review ritual that surfaced at-risk opportunities 3 weeks earlier on average

The Revenue Impact Was Immediate and Sustained

Within 60 days of launching the new sales process, Veridian's close rate on qualified pipeline jumped from 18% to 31%. By the end of the quarter, they had posted their highest-ever monthly recurring revenue figure. The VP of Revenue described it as the first time she felt she could actually predict the number with confidence. By month twelve, ARR had grown from $890K to $2.1M.

  • Close rate improved from 18% to 31% within 60 days of process rollout
  • Average sales cycle shortened from 74 days to 41 days
  • New rep ramp time reduced from 5 months to 11 weeks, improving team output capacity
  • Forecasting accuracy improved to 89% — up from 52% pre-engagement

Outcome and Business Impact

31%

Close Rate Achieved

136K

MRR at Peak Month

89%

Forecast Accuracy

Case Study

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