From the Humanswith.ai archive

Infinity Logistix: outreach

Case data Promotion features From hypothesis to LP creation ROI and key indicators Results for April (week 28.03–4.04) Project: Infinity Logistix Industry: Logistics / dispatch service (trucking, USA) Geography: USA Model: B2B / C2C marketplace Start date: September 2024 Result: stabilized cold email open rate at 30–40

Preserved from an earlier website era Case study March 25, 2026

Case data
Promotion features
From hypothesis to LP creation
ROI and key indicators

Results for April (week 28.03–4.04)

Project:

Infinity Logistix

Industry:

Logistics / dispatch service (trucking, USA)

Geography:

USA

Model:

B2B / C2C marketplace

Start date:

September 2024

Result:

stabilized cold email open rate at 30–40% and generated 33 qualified replies from scratch within 4 months

Result:

increased CTR to 1.5–5.8% (up to 19× growth after personalization), while reducing data and infrastructure costs by ~$23,000/month through automation

Cold email outreach KPIs in the logistics B2B niche

Build a database of 25,000+ broker and carrier contacts in the USA

Set up cold email infrastructure from scratch

Achieve an open rate above 30%

Maintain CTR at 1–2%

Reach a minimum reply rate of 0.1%

Reduce costs through automation and data scraping

Challenges of promoting in the logistics B2B niche at project start

There is no contact database

No ready-made database of brokers and carriers

There is no cold mailing list

Lack of infrastructure for cold email outreach

Verifications

Unclear data sources and verification methods

Data FMCSA

Limited access to FMCSA data (only manually or via scraper)

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Stages of building a cold email outreach system in the US logistics B2B market

Stage 1. Market research and data source selection
We audited data sources for B2B logistics (Brokersnapshot, Apollo, FMCSA). After testing data quality on a sample set, we found that Brokersnapshot delivered ~50% valid contacts after verification. It was selected as the primary source, along with the decision to build a scraper for scalability.
Stage 2. Tool selection and setup
We built a full automation stack covering scraping, verification, sending, and analytics. We used ZennoPoster for data collection, Hunter and Apollo for email verification, Instantly for outreach, and Google Workspace for email infrastructure. We also configured warming systems and integrations to ensure stable deliverability.
Stage 3. Data collection and processing
We collected over 30,000 contacts and filtered them down to 25,000 high-quality leads. Invalid emails, small-scale companies, and non-Authority-status carriers were removed. The database was further segmented by state and time zone to improve campaign performance.
Stage 4. Content creation and testing
We defined the ICP and key audience pain points: downtime, lost revenue per route, and fuel costs. Based on this, we built a 3–5 email sequence including case studies, offers, and social proof. A/B testing was conducted across subject lines, email length, and personalization depth to identify the most effective version.

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Impact of implementing a cold email outreach system

The implementation of a full cold email outreach system enabled stable lead generation and improved B2B communication efficiency from scratch. The project demonstrated consistent growth in key metrics while scaling to hundreds of thousands of emails. ROI and key metrics: what the cold outreach system delivered Over 4 months, the system stabilized the cold email channel and achieved consistent performance in the B2B segment. It improved outreach efficiency and generated initial qualified leads while scaling to 240,000+ emails sent. Over 4 months:

To 1,5–5,8%

CTR increased

33 qualified responses

Generated

30–40%

Open rate stabilized

$23,000/month

Reduced data and processing costs by approximately through automation

50,000–100,000 emails/month

Built infrastructure scalable