A LinkedIn outbound engine to connect ControlRooms.ai with operations leaders at chemical, energy, and materials manufacturers across the U.S.
Bottle Rocket Growth (BRG) will deploy a LinkedIn borrowed sender outbound program designed to generate qualified conversations with VP- and Director-level operations, reliability, and engineering leaders at chemical, petrochemical, energy, and materials manufacturing facilities across the U.S.
Using dedicated LinkedIn sender profiles managed entirely by BRG, we will build targeted prospect lists, develop and A/B test messaging sequences, and drive booked meetings directly to the ControlRooms.ai sales team. No changes to your existing systems. No extra headcount. Just pipeline.
BRG provides dedicated LinkedIn sender profiles that represent ControlRooms.ai. These are real, maintained profiles optimized for outbound prospecting in the industrial/operations space.
We research and build targeted prospect lists of operations leaders, plant managers, reliability engineers, and VP-level decision makers at your ideal customer companies.
BRG develops LinkedIn connection request and follow-up sequences tailored to the pain points of plant operations teams. We A/B test angles and iterate based on response data.
Booked meetings are delivered directly to the ControlRooms.ai sales team. BRG manages the full outbound workflow from connection to conversation.
ControlRooms.ai serves chemical, petrochemical, energy, and materials manufacturers that operate complex process plants with thousands of asset parameters. The buyers are the operations and reliability leaders responsible for minimizing unplanned downtime, reducing flaring, and keeping plants running safely.
Mid-market to enterprise manufacturers with 100+ employees, multiple plant sites, and existing DCS/historian infrastructure. Revenue $50M+. Operating in complex, continuous process environments.
A representative sample of target companies and buyer personas. Final lists will be built collaboratively during onboarding.
Lead with the industry-wide pain: ~800 hours of unplanned downtime per year per plant. Position ControlRooms as the AI layer that catches anomalies before alarms fire, reducing surprise shutdowns and flaring events.
Challenge the status quo. Most plants still troubleshoot the same way they did in 1980. ControlRooms learns plant behavior dynamically, surfacing issues that traditional alarm systems miss entirely.
Speed to value is a major differentiator. While most industrial AI solutions take months to deploy, ControlRooms integrates with existing DCS/historians and is operational within a single week. No new hardware. No rip-and-replace.
AI Trend Search scans thousands of tags over any time range to identify similar past events. Operations teams can find root causes in minutes instead of hours, with full historical context at their fingertips.
All LinkedIn connection requests are under 300 characters. Final messaging will be refined and A/B tested during the first two weeks of campaign activation.
Hi [First Name], we built an AI that learns plant behavior and catches anomalies before alarms do. Live in one week, no new hardware. Would love to connect if relevant to [Company].
[First Name], most plants still troubleshoot the same way they did in 1980. We help ops teams find root causes 10x faster with AI that scans thousands of tags in seconds. Open to connecting?
Hi [First Name], curious if unplanned downtime is still a top priority at [Company]. We work with chemical and energy plants to surface issues before they become trips. Happy to share how.
[First Name], we help plant ops teams monitor thousands of asset parameters in real time with AI that learns your process behavior. No models to build, live in a week. Worth a conversation?
*Add internal team profiles as senders for an additional $1,000/month per profile.