Free Toolkit Alert: Get The Ultimate Marketing Toolkit with 200+ Tools

How We Tripled Website Revenue for a Mid-Market Industrial Logistics Provider in 8 Months

Project timeline

8 months

Industry

Manufacturing & Logistics

Client Overview

This was a mid-market industrial logistics and manufacturing company operating across the US and EU. They also had a SaaS layer that helped customers monitor product usage.

Business Challenge

Before getting to building a marketing strategy for this customer, we spent time with the CXOs to understand the challenges that they were facing while trying to scale their marketing activities.

The website was invisible to the right buyers

Organic traffic remained at ~900 visits/month, while direct traffic was ~500. The site received occasional inquiries from enterprise procurement teams.

Outbound and relationship dependence capped sales

Without paid marketing or a predictable inbound pipeline, every new deal relied on manual outbound and personal networks. This model was time-consuming, unscalable, and unreliable.

Lack of AI/LLM buyer discovery channels

Enterprise buyers had shifted beyond Google; they were also validating vendors inside ChatGPT, Perplexity, Claude, and other AI surfaces.

Our Solutions

We didn’t just “improve SEO.” We rebuilt the demand engine.

Rebuilt Their Search Strategy Around Buyer Intent

Instead of chasing generic industrial keywords, we mapped content around:

Use-case specific searches
Industry + solution combinations
Operational pain-point queries
Enterprise procurement-driven searches

We created and restructured solution pages so they spoke directly to enterprise buyers. Then we supported them with high-intent content designed to rank and convert — not just attract traffic.

We also cleaned up technical SEO, improved internal linking, and consolidated authority into revenue-driving pages rather than spreading it thin.

Focussed on AI Discovery, Not Just Google Rankings

Enterprise buyers don’t just Google anymore. They validate vendors inside AI tools.

So we structured content deliberately for AI visibility. That meant:

Clear, structured answers
Strong topical authority across clusters
Context-rich content that AI systems could cite confidently

As a result, the brand began appearing in AI citations across platforms like Google AI Overview , ChatGPT, Perplexity, Gemini , and Microsoft Copilot.

This directly contributed to 1,315 monthly visits from LLM and AI surfaces. That traffic did not exist before.

Paid Campaigns with Qualified Enquiries as the Main Goal

There were no paid campaigns when we started.

We launched search and targeted paid initiatives in the US and EU with one focus: generate booked meetings.

We did not send paid traffic to generic pages. We built intent-aligned landing experiences. Every campaign was tightly tracked with UTMs so we could see:

Campaign → Session → Form fill or Call → Booked meeting

That tracking discipline is how we were able to tie revenue back to marketing with confidence.

Fixed Conversion Funnel(s)

Traffic without conversion is just noise. We wanted to ensure that the conversion path is clear and defined to trace the actual value of the campaigns we're running.

We reworked:

Form structure and positioning
Call CTAs
Messaging clarity for enterprise buyers
Trust elements and proof positioning

No vanity metrics. Only booked conversations counted.

Our Results (8 Months)

This is what the results looked like: 1.7K organic keywords, 7.1K monthly traffic, 45 MQLs/month, $10M+ pipeline.

Traffic Growth (Monthly) & AI Visibility

Organic traffic grew from 900 to 5,415
Direct traffic increased from 500 to 3,215
Social traffic reached 1,200
LLM / AI traffic reached 1,315

Search visibility expanded to

1.7K organic keywords
7.1K estimated organic traffic
$19.2K traffic value (SEO tool estimate)

Lead & Revenue Impact

45 qualified MQLs per month (form fills + calls leading to booked meetings)
Website-sourced closed-won revenue increased from $1.2M/month to $3.6M/month
Active pipeline generated from the website now exceeds $10M

The Takeaway

We didn’t treat SEO, paid, and AI as separate channels.

We built one integrated demand system:

Capture existing demand through search
Create new demand through paid
Increase trust and validation through AI visibility
Convert traffic into booked enterprise conversations

That’s what moved revenue

1.7K

organic keywords

7.1K

estimated organic traffic

45

qualified MQLs/month

$10M+

in Active pipeline

What we did

Have a project?

Want Results Like This?

This client came to us with a lot of challenges. We delivered more than what was expected. If you read their story and want to see what we can do for you, go ahead and connect with our experts.