We collaborated with the client to launch their first-ever outbound lead generation system through cold email.
6 months into project
We collaborated with the client to launch their first-ever outbound lead generation system through cold email.
Industry: Manufacturing (Industrial Automation)
Country: USA
Target Audience: Diverse
Company Size: 51-200
Industry: Manufacturing (Industrial Automation)
Country: USA
Target Audience: Diverse
Company Size: 51-200
The company helps U.S. manufacturers eliminate manual inspection and production bottlenecks through AI-powered vision systems that detect micro-defects in real time. Their technology functions across a series of industries, including automotive, machining, medical device manufacturing, and food & beverage. From surface cracks in machined components to misprinted labels on packaging lines, their proprietary platform combines industrial cameras, deep-learning algorithms, and PLC integration to catch defects that human inspectors often miss without slowing down throughput. Their product is used by a series of Fortune 1000 companies to reduce production errors.
Before working with TANDA Digital, the client had built a strong reputation for technical excellence but struggled to translate that engineering success into consistent sales growth.
For its first 5 years, new business had come almost exclusively through referrals, trade shows, and word-of-mouth. While this kept their small sales team busy, it also created long dry spells between projects and made forecasting nearly impossible. They came to TANDA Digital as they were looking to onboard 2 new salespeople and wanted leads for them. Seeing our expertise in developing outbound B2B growth systems and looking to add cold email as a channel to book meetings for their sales team made us an obvious choice.
The engagement combined strategic consulting, full-stack technical implementation, messaging development, and ongoing sales enablement.
We began by defining a precise Ideal Customer Profile (ICP) focused on U.S.-based manufacturers that could immediately benefit from AI vision inspection: companies where defect detection, compliance, or manual inspection remained a bottleneck.
Our research targeted operations, quality, and automation leaders within the automotive, machining, medical device, electronics, and food & beverage sectors.
To build the dataset, we combined AI-assisted lead research with human verification. Our team:
Aggregated data from industrial directories, trade registries, and manufacturing databases.
Used custom scraping tools we built internally to identify companies mentioning automated inspection or Six Sigma initiatives.
Enriched each record with firmographic and technographic attributes such as production volume, plant size, automation maturity, and contact roles.
This created a dataset of decision-makers with verified intent and technical alignment, ensuring that every outbound touchpoint was relevant and high-quality.
Although the client’s technology was cutting-edge, their value proposition was highly technical and complex, often difficult for non-engineering stakeholders to grasp quickly. Through several consulting sessions, we helped simplify and clarify the messaging to emphasize outcomes rather than algorithms.
We restructured the core narrative around three key value drivers:
Throughput Efficiency – Increasing inspection speed without adding headcount.
Error Prevention – Reducing defect escape rate and waste before packaging or assembly.
Seamless Integration – Deploying vision systems that plug directly into existing PLCs, cameras, and conveyor systems with minimal disruption.
We then wrote and tested multi-angle outreach sequences, balancing technical credibility with clarity and brevity. Every message was concise, human, and conversational designed to start a dialogue rather than deliver a pitch.
To support high-volume outreach safely, we built a 10-account sending infrastructure using dedicated domains and advanced deliverability protection. Each domain was individually configured with SPF, DKIM, and DMARC, then warmed up through AI-based human-like exchanges to ensure strong inbox placement.
We layered this with our proprietary email rotation and throttling system, allowing hundreads of emails to be sent each week with zero risk to domain reputation.
Deliverability averaged above 97% inbox rate, giving the campaigns maximum visibility with minimal bounce rates.
To centralize visibility, we integrated the entire outbound system directly with the client’s HubSpot CRM. Every lead contacted, responded, or qualified through our system was automatically pushed into HubSpot with real-time status updates.
We also implemented:
Two-way sync between our sending infrastructure and HubSpot, ensuring all lead statuses (e.g., replied, booked, not interested) were instantly updated.
An AI-based reply classification system that analyzed every inbound message and categorized it as Interested, Referral, Not Now, Unsubscribe, or Spam.
Automated triggers that flagged Interested or Qualified replies for immediate SDR follow-up.
This removed all manual data entry, letting our SDR focus 100% on booking appointments.
To handle the growing volume of qualified replies, we embedded one of our trained SDRs into the client’s operation. The SDR was fully briefed on the client’s product, use cases, and technical language, and became the first line of response for all cold email leads.
Their responsibilities included:
Managing and replying to all responses from 10 mailboxes.
Qualifying prospects based on fit, budget, and implementation readiness.
Scheduling calls directly into the sales team’s calendars.
Maintaining lead hygiene and progression in HubSpot.
In parallel, we coached the internal sales team on best practices for transitioning qualified leads from cold outreach into technical demo calls including objection handling, framing ROI discussions, and managing pilot project negotiations.
We monitored campaign data weekly and produced detailed analytics reports on volume, open rates, replies, and booked meetings. By analyzing engagement by industry and role, we continually refined targeting gradually shifting emphasis toward the most responsive verticals (automotive and medical device manufacturing).
Weekly syncs ensured full alignment, while real-time Slack communication allowed rapid iteration messages, ICP tweaks, and new angles could be tested within hours, not weeks.
Over the course of 6 months, the outbound system we built generated 405 total replies, 36 qualified appointments, and 7 new clients from 2,571 highly targeted prospects. This is an exceptional performance in a niche industrial market known for long sales cycles and high technical barriers. The campaigns consistently maintained strong reply and meeting-booking rates across multiple manufacturing sectors, producing a reliable and scalable source of pipeline for the client’s growing sales team.
These results represented a major shift for the company. Before engaging with us, their lead generation relied exclusively on referrals and trade shows, making new business unpredictable. After implementation, they were able to run a fully automated, data-driven outbound engine integrated directly into HubSpot, complete with live sync, automated lead categorization, and AI-assisted reply analysis. Every interaction from first touch to booked meeting was logged and tracked automatically, allowing their team to monitor outreach in real-time and measure ROI with precision.
The engagement also proved that with the right technical infrastructure and positioning, complex industrial technologies like AI-based vision inspection can be sold through outbound just as effectively as through traditional, relationship-based channels.
Several key factors contributed to the campaign’s success:
Highly Relevant Targeting: A dataset enriched with firmographic and operational data ensured every contact represented a genuine potential fit, drastically increasing reply quality.
Integrated HubSpot Workflow: Our two-way HubSpot integration automatically pushed lead data, conversation updates, and booked meetings to the CRM, creating a single source of truth for the entire sales team.
AI-Powered Reply Classification: Each inbound email was assessed by our proprietary AI system and categorized by intent — Interested, Referral, Not Now, or Unsubscribe — enabling the SDR to prioritize the highest-value conversations instantly.
Fast Iteration & Collaboration: Working closely with the client via Slack, we were able to test new angles, refine messaging, and optimize performance in real time — often implementing improvements within minutes of feedback.
End-to-End Enablement: From SDR implementation and sales coaching to follow-up workflows, we provided full coverage across every part of the outbound process, freeing the client’s salespeople to focus exclusively on qualified demos and closing.
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