Building a Repeatable Sales Engine through Targeted Cold Storage Outreach

4 Months - Ongoing

Campaign Duration

Outbound

Campaign Type

1

No of SDRs

Key Performance Indicators

$1.3M

$ value of pipeline generated

Meetings Scheduled

15

Number of Opportunities Created

Estimated SQL ROI

40X

Estimated Return On Investment

Revenue Growth Realized

$266K

Estimated Revenue Generated

Public

Funding Stage

51-200

Headcount

USA

HQ location

Cold Storage, Nursing Homes, and Utilities

Target Industry

USA

Target Location

C-Suite Owners and Technical Teams

Target Persona

NextNRG is an energy solutions company specializing in wireless energy solutions and utility optimization through its proprietary AI control system. They partnered with Whistle to transition from a referral-based model to a structured outbound sales engine, focusing on high-value energy reduction projects. Whistle’s multi-channel SDR approach was designed to penetrate the cold storage market and accelerate a historically slow sales cycle.

Challenges Faced

  • Reliance on personal connections and ad-hoc outreach rather than structured campaigns.
  • Internal bottlenecks causing proposal generation to take a month or more, leading to cold leads.
  • Technical resistance from client-side staff concerned about job security with new AI tech.
  • Lack of quantifiable KPIs to effectively market the value of their AI control system.

Our Solution

  • Identified cold storage facilities as the primary Ideal Customer Profile (ICP) due to high electricity usage and outage risks.
  • Sourced a significant amount of viable customer data.
  • Implemented multi-channel SDR services across phone, email, and LinkedIn, including several hundred daily outreach calls.
  • Partnered with the client to script sophisticated language that identifies customer needs and encourages them to "sell themselves" without implicit active selling.
  • Prioritized the collection of power bills as the critical qualifying step in the sales flow.

"Whistle’s ability to source viable data has been incredible, and the results speak for themselves. Beyond just sourcing several hundred daily calls and booking 15+ meetings, they helped us craft a sophisticated language that identifies customer needs—making the customer essentially 'sell themselves.' Their capacity to understand our business and deliver exactly what they promised gave us a real confidence in their ability to drive our sales cycle forward." - Velvil Rosler, Head of Operations at NextRNG

Results Achieved

  • Targeted the cold storage vertical, a new market with no prior existing customers for the company.
  • Optimized the value proposition to highlight a guaranteed 30% energy reduction.
  • Converted outreach calls into 15 meetings booked so far.
  • Established a top-down sales strategy targeting C-Suite owners to bypass technical blockers.

Future Outlook

By establishing a repeatable sales engine in the cold storage vertical, NextNRG is positioned to expand its technology suite to larger strategic targets such as utility companies. The shift toward data-driven, quantifiable marketing will allow the company to better showcase the long-term ROI of its AI control systems. This structured approach provides the foundation for scaling their $50M+ annual deal structures into new geographic and industrial markets.

Key Learning

Vertical Specialization for "Quick Wins"

Prioritizing niches like cold storage allows for faster validation of the sales engine because the pain points—spoilage and high energy costs—are extreme and immediate.

Refining the Scripting Approach

Using language that identifies needs without "explicit active selling" allows the customer to convince themselves of the value, increasing conversion rates.

Data Sourcing as a Foundation

The ability to source viable, accurate customer data is the most critical hurdle in transitioning from referrals to a cold outreach model.

Proven success with companies
in your industry

Real world results from companies that partnered with Whistle to generate qualified pipeline faster.
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