Case Overview
A construction machinery company relied on trade shows and email, selling about 100 machines a year. Singoo rebuilt its funnel with “private traffic + AI marketing”: AI agents deployed in 30 minutes, a social media matrix and brand website set up in 1 day, AI-led M2L pre-qualification and WhatsApp needs confirmation, and human-AI follow-up. Within 1 month it gained nearly 40,000 followers, 1,000+ potential buyers and 5 buyer visits to China, closed its first order in 20 days, cut acquisition cost by 50% and lifted ROI by 40%+.
- Customer
- A construction machinery company
- Industry
- Construction Machinery / Used Construction Machinery
- Products
- Excavators and other construction machinery (new and used)
- Target Markets
- Global
- Client Type
- Overseas distributors and buyers
- Project Duration
- Results within 1 month of going live with AI; first order in 20 days
Client Background
A leading construction machinery company that sells and services excavators and other equipment. It relied on traditional “trade show + email” export marketing and wanted to break through with “private traffic + AI marketing” to reach a sales target of thousands of machines.
Client Challenges
- Challenge 1
Needed more efficient online channel marketing
- Challenge 2
Traditional export sales is labor-heavy, costly and slow, with a clear ceiling on team capacity
- Challenge 3
Staff could handle only 20–30 inquiries a day with slow responses, leaving many leads unworked
Solutions
Agent Deployment
Connected to Singoo’s AI models: deployed in 30 minutes, with a company-specific agent trained in 5–10 minutes
Infrastructure
One-stop management of Google/Facebook/TikTok/LinkedIn/YouTube/Instagram, with a social media matrix and brand website set up in 1 day
Smart Ads
Facebook and TikTok ads showcase products, reaching buyers across all media based on target market profiles
M2L
AI verifies emails, runs company background checks and fills in social profiles, then asks about brand, tonnage and use via WhatsApp 24/7; confirmed buyers are tagged as high-intent SQLs and passed to sales reps
L2C
AI handles daily follow-up, sends materials, drafts quotes and coordinates meetings, and hands off to sales at price negotiation, contract terms and other key points
ITR
User tag data feeds back for tuning; after-sales uses AI triage and SLA monitoring to close the satisfaction loop
Implementation Timeline
- Before SingooFinding clients via trade shows and email
- Month 1Nearly 40,000 private-traffic followers, 1,000+ potential buyers, 5 buyer visits to China
- Day 20First Deal Closed
Business Results
First Month Live
~40KPrivate-Domain Followers
1,000+ potential buyers, 5 overseas buyer visits to China, first order in 20 days
Efficiency & Cost
50%Lower Acquisition Cost
20x efficiency, 50% lower acquisition cost, 40%+ higher ROI
Human vs. AI
Data notes: figures from the first month after the AI model went live.
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