Logistics

Outbound GTM Sales Execution for DataTruck

How Phi Helped DataTruck Slash CAC by 97% and Hit $1M ARR in 9 Months

$1M ARR in 9 months
CAC dropped by 97%
$9 in revenue for every $1 invested
DataTruck Logo

The Challenge: Great Product, No Sales Engine

DataTruck, a SaaS TMS platform for SMB carriers, had product-market fit but struggled to grow predictably. Their internal sales efforts were fragmented, expensive, and slow. Without a structured outbound GTM motion, they faced:

1

High CAC of $1,103 per customer

2

No ICP clarity or pipeline visibility

3

Manual, inconsistent outbound outreach

4

Long sales cycles with poor conversion

They didn't need more leads. They needed a system to turn leads into revenue.

The Strategy: Install a Full-Funnel, Freight-Focused GTM Motion

Phi deployed a GTM Consultant, GTM Engineer, and a dedicated team of SDRs — all managed end-to-end — to design and run DataTruck's outbound sales engine.

What We Built

ICP Segmentation Framework: TAM → SAM → SOM mapped to high-intent SMB carriers

Pain-Driven Messaging: Focused on operational bottlenecks carriers face daily

Cold Outreach Systems: 8,000+ targeted calls via Aircall, 11,000+ personalized emails via Instantly, Multi-touch follow-up sequences optimized for conversion

Sales Stack & Automation: CRM setup in HubSpot, A/B tested workflows, and pipeline dashboards

The Results

Reached $1M ARR in 9 months

CAC dropped from $1,103 → $561 (97% reduction)

$207,552 ARR generated directly via Phi-led outbound

$9 in revenue for every $1 invested in Phi's GTM pod

"Phi didn't just advise — they sold. Their outbound system scaled faster and cheaper than anything we tried in-house."

DataTruck Leadership

Takeaways for GTM Leaders

1

You don't need a big team — you need execution-ready systems

2

CAC control = survival in early-stage B2B

3

ICP clarity + freight-native messaging unlocks pipeline velocity

Ready to Achieve Similar Results?

Let's discuss how we can help you build a scalable go-to-market engine for your business.