“HelloGrowthCRM gave us an unfair advantage. Our reps finally know exactly who to call and when.”
Background
TechSpark Solutions is a 12-person B2B SaaS company headquartered in Austin, Texas. The team sells project management software to mid-market construction firms, a vertical where buying decisions involve multiple stakeholders and deals move deliberately. Their sales cycle averages 45 days, with an average contract value of $18,000.
With 12 reps working deals of that size and length, consistency is everything. A single missed follow-up in week three of a 45-day cycle can quietly stall a deal that took weeks to build, and the team needed every selling hour it could get to keep enough opportunities moving at once.
The Problem
Before HelloGrowthCRM, the team ran on a legacy CRM that required manual call logging. After every conversation, reps typed up notes, updated deal fields by hand, and set their own reminders for the next touch. That admin work averaged 2.3 hours per rep per day, leaving less than 4 hours for actual selling.
The manual process created a second problem: deal health was invisible. Notes were inconsistent, follow-ups depended on each rep's memory, and managers had no early warning system for at-risk deals. By the time a stalled deal surfaced in a forecast conversation, it was usually too late to rescue it.
The math was unforgiving. With so much of the day consumed by logging, reps could not work enough opportunities to build healthy pipeline coverage — and the team had no reliable way to tell which of the leads they did work were actually worth the time.
The Approach
TechSpark onboarded to HelloGrowthCRM in 72 hours. The first day covered account setup and moving existing pipeline data across, the second focused on configuring scoring rules, and by day three reps were making calls inside the new system.
AI Lead Scoring was configured around TechSpark's ICP criteria: construction-vertical companies with 50–500 employees in the midwest and south regions. Instead of working lists top to bottom, reps started each morning with leads ranked by fit, so the best-matched accounts got called first.
The built-in Dialer removed the logging burden entirely — every call was auto-logged with a transcript summary attached to the deal record. GrowthOS fired follow-up tasks automatically based on deal stage, so every open deal always had a scheduled next step without a rep having to remember to set one.
Implementation timeline
- 1
Day 1 — account setup and data import
Existing pipeline and contact data moved out of the legacy CRM and into HelloGrowthCRM, with deal stages mapped to the team's 45-day sales cycle.
- 2
Day 2 — AI Lead Scoring configuration
Scoring rules built around TechSpark's ICP: construction companies with 50–500 employees in the midwest and south regions.
- 3
Day 3 — Dialer and follow-up cadences go live
Reps began calling through the built-in Dialer with auto-logging and transcript summaries, and GrowthOS stage-based follow-up tasks switched on.
- 4
First 90 days — measurement
The team tracked meetings booked, pipeline coverage, and deal close time against their pre-rollout baseline.
The Outcome
In the first 90 days, meetings booked increased 34%. Reps spent their recovered hours on live conversations instead of note-taking, and the stage-based follow-up cadences kept warm deals moving instead of going quiet.
Pipeline coverage doubled from 1.1× to 2.1× as reps stopped wasting time on low-fit leads and concentrated on accounts that matched the ICP. Average deal close time dropped 18%, driven by structured follow-up cadences that eliminated dead air between touches.
The admin savings were just as concrete: each rep recovered 6+ hours per week that had previously gone to manual logging. For a 12-person team, that recovered time went straight back into selling.