Proven Infrastructure. Quantifiable Growth.
Review the performance data from our recent deployments. We specialize in replacing manual SDR bottlenecks with autonomous AI infrastructure to double demo volume and secure revenue pipelines.
Case Studies: Building High-Yield Revenue Infrastructure
Case study 1
The Latency Correction: CloudMetrics
CloudMetrix
Industry: Project Management SaaS
Team Size: 15 employees
ACV: $12,000
The Challenge:
CloudMetrics was spending $18K/month on Google and LinkedIn ads, but their small sales team couldn't keep up with the lead volume. Response times averaged 4-6 hours, and by then, most leads had already booked demos with competitors. Their demo booking rate was stuck at 8%.
The Solution:
We implemented our AI booking agent to call leads within 30 seconds of form submission. We also set up automated follow-up sequences for no-answers and built a no-show prevention system with reminders and reactivation calls.
The Results (90 Days)
2.6x increase in booked demos
12 → 31 per month
Response time dropped to 30 seconds
from 4-6 hours
Demo booking rate increased to 23%
from 8%
$89K in additional pipeline
generated
No-show rate dropped to 28%
from 62%
“We went from 12 demos per month to 31 in just 60 days. The AI agent handles objections better than our junior SDRs ever did. Best investment we’ve made this year.”
Sarah Chen
VP of Sales, CloudMetrics
Case study 2
The Attrition Solution: DataFlow Analytics
DataFlow Analytics
Industry: Business Intelligence SaaS
Team Size: 22 employees
ACV: $24,000
The Challenge:
DataFlow had a solid inbound lead flow, but their no-show rate was killing them. 65% of booked demos never showed up, and their sales team was wasting hours on empty calendar slots. They tried manual reminders, but it was inconsistent and time consuming.
The Solution:
We built a comprehensive no-show prevention system with 24-hour and 1-hour automated reminders (via SMS and email), plus AI reactivation calls for no-shows. We also implemented a multi-channel follow-up engine to re-engage cold leads.
The Results (90 Days)
No-show rate dropped to 23%
from 65%
42% more demos actually happened
(same bookings, better attendance)
$127K in recovered pipeline
(from previously lost no-shows)
Sales team saved 18 hours/week
(no more manual reminders)
31% of no-shows rescheduled
via AI reactivation
“Our no-show rate dropped from 65% to 23%. The automated reminders and reactivation calls are game-changers. We’re finally getting ROI from our ad spend”
Marcus Rodriguez
DataFlow Analytics
Case study 3
The Capacity Scale: SalesBoost AI
SalesBoost AI
Industry: Sales Automation SaaS
Team Size: 30 employees
ACV: $18,000
The Challenge:
SalesBoost was scaling fast—too fast. They were spending $15K/month on Meta ads and generating 80+ leads per month, but their two-person SDR team couldn't handle the volume. Leads were getting lost, follow-up was inconsistent, and their cost per demo was $890 (way too high).
The Solution:
We built them a complete ad-to appointment funnel with AI-powered instant follow-up, automated qualification, and multi-channel nurture sequences. We also optimized their ad creative and landing pages for better lead quality.
The Results (90 Days)
Lead-to-demo conversion increased
by 47%
Cost per demo dropped to $553
(from $890)
Booked 52 demos/month
from 28
$47K in additional MRR
generated
SDR team freed up to focus on closing
(not chasing leads)
“We were spending $15K/month on ads but couldn’t handle the volume. Now every lead gets followed up instantly. Our cost per demo dropped by 38%, and we’re closing more deals than ever.”
Sarah Chen
Jennifer Park, CMO
Hear It Directly From Our Clients
Sarah Chen
CloudMetrics
Sarah Chen
CloudMetrics
Sarah Chen
CloudMetrics